WO2018101449A1 - Method for analyzing skin characteristics - Google Patents
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- WO2018101449A1 WO2018101449A1 PCT/JP2017/043203 JP2017043203W WO2018101449A1 WO 2018101449 A1 WO2018101449 A1 WO 2018101449A1 JP 2017043203 W JP2017043203 W JP 2017043203W WO 2018101449 A1 WO2018101449 A1 WO 2018101449A1
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- C12Q—MEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
- C12Q1/00—Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions
- C12Q1/68—Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions involving nucleic acids
- C12Q1/6876—Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes
- C12Q1/6883—Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes for diseases caused by alterations of genetic material
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
- G16B20/00—ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
- G16B20/20—Allele or variant detection, e.g. single nucleotide polymorphism [SNP] detection
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- C12Q1/00—Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions
- C12Q1/68—Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions involving nucleic acids
- C12Q1/6876—Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes
- C12Q1/6881—Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes for tissue or cell typing, e.g. human leukocyte antigen [HLA] probes
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
- G16B20/00—ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
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- C—CHEMISTRY; METALLURGY
- C12—BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
- C12N—MICROORGANISMS OR ENZYMES; COMPOSITIONS THEREOF; PROPAGATING, PRESERVING, OR MAINTAINING MICROORGANISMS; MUTATION OR GENETIC ENGINEERING; CULTURE MEDIA
- C12N15/00—Mutation or genetic engineering; DNA or RNA concerning genetic engineering, vectors, e.g. plasmids, or their isolation, preparation or purification; Use of hosts therefor
- C12N15/09—Recombinant DNA-technology
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- C—CHEMISTRY; METALLURGY
- C12—BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
- C12Q—MEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
- C12Q2600/00—Oligonucleotides characterized by their use
- C12Q2600/156—Polymorphic or mutational markers
Definitions
- the present invention relates to a method for determining human skin characteristics based on genetic elements by SNP analysis, a computer for determining skin characteristics, and a program for controlling the computer. Based on the determined skin characteristics, it is possible to select beauty guidance services, cosmetics, supplements, and the like.
- the skin characteristics vary from person to person.
- individual counseling has been mainly performed in order to provide cosmetics suitable for each person's skin characteristics.
- Counseling has been performed based on questionnaire results from customer self-diagnosis and objective skin information, for example, information on texture, skin barrier function, moisture content, elasticity, viscosity, etc. measured by equipment.
- customer self-diagnosis is a subjective judgment, and does not accurately reflect the customer's skin characteristics.
- the objective information measured by the device merely quantifies the state at the time of the inspection with respect to the skin state that can change from day to day, and it is difficult to estimate skin troubles that may occur in the future.
- JP 2006-191858 A Japanese Patent Application Laid-Open No. 2015-73503 JP 2013-226096 A JP 2011-234664 A JP 2014-193155 A JP 2014-45729 A
- the purpose of this study is to investigate the relationship between previously unknown SNPs and skin characteristics, and to develop a method for determining skin characteristics with higher reliability.
- the present inventors attempted statistical analysis on the relationship with skin characteristics by targeting SNPs in a wider range of proteins as well as proteins that have been known to be associated with skin characteristics so far in 200 subjects. .
- SNPs related to skin characteristics, particularly wrinkles, skin color, and skin function were identified, and the present invention was achieved.
- the present invention provides the following inventions: rs1030868, rs1050565, rs10515552, rs10741657, rs11057830, rs1107946, rs1256062, rs12785878, rs12931267, rs1501299, rs17822931, rs1799750, rs1800414, rs1800629, rs2046571, rs2241145, rs2246416, rs7983, rs7983, rs798 rs8326, rs833061, rs11234027, rs16891982, rs17577, rs1799724, rs1800012, rs2010963, rs2108622, rs2232228, rs3785079, rs7799039, rs10882272, rs1485766, rs1540771,
- the present invention is a computer for determining skin characteristics, below: rs1030868, rs1050565, rs10515552, rs10741657, rs11057830, rs1107946, rs1256062, rs12785878, rs12931267, rs1501299, rs17822931, rs1799750, rs1800414, rs1800629, rs2046571, rs2241145, rs2246416, rs7983, rs7983, rs798 rs8326, rs833061, rs11234027, rs16891982, rs17577, rs1799724, rs1800012, rs2010963, rs2108622, rs2232228, rs3785079, rs7799039, rs10882272, rs14857
- the present invention further relates to a method for determining skin characteristics and a method for providing cosmetics, supplements, and / or beauty methods based on skin characteristics determined by a computer that determines skin characteristics.
- the present invention makes it possible to determine skin characteristics and to provide cosmetics, supplements, and / or beauty methods based on the determined skin characteristics.
- FIG. 1 is a diagram showing a flow of processing by a program for controlling a computer that determines skin characteristics.
- FIG. 2 is a block diagram of a computer that determines skin characteristics.
- FIG. 3A is a diagram showing the relationship between the SNP score calculated from the SNP related to the spot as the skin characteristic and the spot.
- FIG. 3B is a diagram showing SNP scores calculated from SNPs related to spots as skin characteristics and their appearance frequencies.
- FIG. 4A is a diagram showing the relationship between the SNP score calculated from the SNP related to the spot average area as the skin characteristic and the spot average area.
- FIG. 4B is a diagram showing the SNP score calculated from the SNP related to the spot average area as the skin characteristic and the appearance frequency thereof.
- FIG. 5A is a diagram showing the relationship between the SNP score calculated from the SNP related to facial cheek melanin as the skin characteristic and the facial cheek melanin.
- FIG. 5B is a diagram showing SNP scores calculated from SNPs related to facial cheek melanin as skin characteristics and their appearance frequencies.
- FIG. 6A is a diagram showing the relationship between the SNP score calculated from the SNP related to the upper arm inner melanin as the skin characteristic and the upper arm inner melanin.
- FIG. 6B is a diagram showing the SNP score calculated from the SNP related to the upper arm inner melanin as the skin characteristic and the appearance frequency thereof.
- FIG. 7A is a diagram showing the relationship between the SNP score calculated from the SNP related to cheek brightness as the skin characteristic and the cheek brightness.
- FIG. 7B is a diagram showing SNP scores calculated from SNPs related to cheek brightness as skin characteristics and their appearance frequencies.
- FIG. 8A is a diagram showing the relationship between the SNP score calculated from the SNP related to the cheek yellow color as a skin characteristic and the cheek yellow color.
- FIG. 8B is a diagram showing the SNP score calculated from the SNP related to the yellow color of the cheek as a skin characteristic and the appearance frequency thereof.
- FIG. 9A is a diagram showing the relationship between the SNP score calculated from the SNP related to wrinkles as the skin characteristic and the wrinkles.
- FIG. 9B is a diagram showing SNP scores calculated from SNPs associated with wrinkles as skin characteristics and their appearance frequencies.
- FIG. 10A is a diagram showing the relationship between the SNP score calculated from the SNP related to the texture as the skin characteristic, and the texture.
- FIG. 10B is a diagram showing SNP scores calculated from SNPs related to texture as skin characteristics and their appearance frequencies.
- FIG. 11A is a diagram showing the relationship between the SNP score calculated from the SNP related to the beam as the skin characteristic and the beam.
- FIG. 11B is a diagram showing the SNP score calculated from the SNP related to the beam as the skin characteristic and the appearance frequency thereof.
- FIG. 12A is a diagram showing the relationship between the SNP score calculated from the SNP associated with the sebum-forehead as the skin characteristic and the sebum-forehead.
- FIG. 12B is a diagram showing the SNP score calculated from the SNP related to the sebum-forehead as the skin characteristic and the appearance frequency thereof.
- FIG. 13A is a diagram showing the relationship between the SNP score calculated from the SNP related to the moisture content-cheek as the skin characteristic and the moisture content-cheek.
- FIG. 13B is a diagram showing the SNP score calculated from the SNP related to the amount of water-cheek as skin characteristics and the appearance frequency thereof.
- FIG. 14A is a diagram showing the relationship between the SNP score calculated from the SNP related to the moisture content-arm as the skin characteristic and the moisture content-arm.
- FIG. 14B is a diagram showing the SNP score calculated from the SNP related to the amount of water-arm as the skin characteristic and the appearance frequency thereof.
- FIG. 15A is a diagram showing the relationship between the SNP score calculated from the SNP related to the barrier-cheek as a skin characteristic and the barrier-cheek.
- FIG. 15B is a diagram showing the SNP score calculated from the SNP related to the barrier-cheek as skin characteristics and the appearance frequency thereof.
- FIG. 16A is a diagram showing the relationship between the SNP score calculated from the SNP related to the barrier-arm as the skin characteristic and the barrier-arm.
- FIG. 16B is a diagram showing the SNP score calculated from the SNP related to the barrier-arm as the skin characteristic and the appearance frequency thereof.
- the present invention includes a step of detecting a SNP associated with skin characteristics
- the present invention relates to a skin property determination method including a step of determining a skin property based on a detected SNP.
- SNPs related to skin characteristics include the following: rs1030868, rs1050565, rs10515552, rs10741657, rs11057830, rs1107946, rs1256062, rs12785878, rs12931267, rs1501299, rs17822931, rs1799750, rs1800414, rs1800629, rs2046571, rs2241145, rs2246416, rs7983, rs7983, rs798 rs8326, rs833061, rs11234027, rs16891982, rs17577, rs1799724, rs1800012,
- the SNP is displayed as an rs number (Reference SNP ID number).
- Detailed information location and mutation on the chromosome) of the SNP corresponding to each rs number is managed by the National Center for Biotechnology Information (NCBI), and the NCBI website (http: //www.ncbi.nlm. nih.gov/).
- SNP detection may be performed by any known method.
- a subject's nucleic acid is purified from a subject's biological sample, for example, saliva, blood, mucous membrane, tissue piece, hair, and the like based on a conventional method, and SNP is detected in the purified nucleic acid. Therefore, the method for determining skin characteristics of the present invention may further include a sample preparation step and a nucleic acid purification step.
- the nucleic acid may be DNA or RNA. In the case of RNA, it is preferable to prepare DNA by performing reverse transcription after purification.
- any method can be used as long as it is a technique that enables detection of SNP in the purified nucleic acid.
- SNP can be detected by sequencing around the position of the target SNP, or it can be detected using a method based on the PCR method, a method using a DNA probe, or a method using mass spectrometry You can also.
- PCR-based techniques include SNP typing method, TaqMan PCR method, single nucleotide extension method, pyrosequencing method, Exonuclease Cycling assay method.
- the Invader method and the like can be mentioned (exhaustive gene polymorphism analysis (SNP), Japanese Pharmacology Journal, 125, 148-152, 2005).
- a SNP may involve another SNP that is in linkage disequilibrium.
- the target SNP By detecting a SNP that is in linkage disequilibrium with the target SNP, the target SNP can be detected. Therefore, in the present invention, the detection of the SNP is not limited to directly detecting the target SNP, but includes detecting the target SNP by detecting the SNP in linkage disequilibrium. And
- the presence of the SNP can be detected by examining the sequence at the position where the SNP exists in the data of the already determined base sequence. Therefore, the detection of the SNP in this case may be performed by inputting the base sequence data to a computer in which the SNP information is stored.
- the input is input from the terminal via the Internet
- the SNP is detected on the server
- the detection result can be output to the terminal via the Internet.
- the subject whose skin characteristics are detected according to the present invention may be any race.
- the kind and abundance of SNPs can vary between races, it is preferable to identify SNPs after identifying races.
- the target race is preferably a yellow race (Mongoloid).
- the skin characteristic at least one selected from the group consisting of skin shape characteristics, skin quality, and skin color characteristics can be determined.
- the SNP score can be calculated based on the number of SNPs that work negatively and the number of SNPs that work positively.
- the SNP score can be calculated by subtracting the number of SNPs that work negatively from the number of SNPs that work positively.
- the SNP score may be calculated by subtracting the number of SNPs that work positively from the opposite, that is, the number of SNPs that work negatively.
- the skin property is a skin shape property, the following: rs1256062, rs10515552, rs1107946, rs12785878, rs12931267, rs1501299, rs1799750, rs1800629, rs2285053, rs3760776, rs12051272, rs1030868, rs10741657, rs11057830, rs11234027, rs1126643, rs11568737, rs1485766, rs1540797, 180, rs1540797, 180 rs2010963, rs2060793, rs2108622, rs2228479, rs2232228, rs2234693, rs2241145, rs2246416, rs2287074, rs3785079, rs3829251, rs3865188, rs4065, rs41
- Skin shape characteristics can be further subdivided into wrinkles, textures and firmness. If the skin shape characteristic is wrinkle, the following: from rs1800629, rs1107946, rs1501299, rs10515552, rs12785878, rs12051272, rs1126643, rs1256062, rs1485766, rs1799750, rs2234693, rs2246416, rs3760776, rs4065, rs4065, and rs96458017 At least one SNP selected is used.
- At least one SNP selected from the group consisting of the following: rs1256062, rs3760776, rs12931267, and rs2285053 is used.
- the relationship between these SNPs and the gene in which the SNP exists is as follows.
- a SNP in which the above action is indicated as negative (-) is present in heterogeneous or homozygous state, it can be determined that wrinkles are difficult to occur, while the above action is indicated as positive (+). It can be determined that wrinkles are likely to occur when the SNPs present are heterozygous or homozygous.
- the SNP score for wrinkle determination is represented by the following formula as an example, and the wrinkle state can be determined based on the SNP score.
- the SNP selected for the determination of the SNP score may be arbitrarily removed.
- the color characteristics of the skin can be further subdivided into the background color of the skin, the color of the skin of the UV-exposed part, the stain, the brightness and the yellowness. If the skin color characteristic is the ground color of the skin, at least one SNP selected from the group consisting of: rs3760776, rs2246416, rs2241145, rs10741657, rs6058017, rs2287074, rs74653330, rs1256062, rs17577, rs3865188, rs41281112, and rs8326 Is used.
- At least one SNP selected is used. If the skin color characteristic is a stain, the following: At least one SNP selected from the group consisting of rs1799724, rs1800629, rs1993116, rs2010963, rs2060793, rs2227564, rs2232228, rs2246416, rs2282679, rs2298585, rs2987983, rs4065, rs4880, rs492602, rs6058017, rs7201, and rs964184 is used.
- the skin color property When the skin color property is yellowish, it consists of the following: rs10741657, rs6058017, rs2241145, rs2285053, rs1799750, rs1030868, rs2246416, rs1107946, rs1126643, rs12913832, rs17577, rs3785079, rs492602, rs74653330, rs833061 and rs9340799 At least one SNP selected from the group is used.
- SNPs for which the above action is displayed as negative (-) may be determined to have a tendency to decrease when the measured values of the skin color characteristics exist in heterogeneous or homozygous form.
- SNPs where the effect is indicated as positive (+) can be determined to tend to increase when the respective measurement of the color characteristic is present in a hetero or homo.
- the skin color characteristics are further subdivided into spots (spots, spot average area), melanin amount (facial cheek melanin, upper arm melanin), skin color (bright cheek, cheek yellow), etc., according to the above table. can do.
- the stain when it has an SNP displayed as negative (-), the stain becomes lighter, and when it has an SNP displayed as positive (+), the stain tends to become darker.
- the average spot area the average spot area tends to be narrow when the SNP is displayed as negative (-), and the average spot area is widened when the SNP is displayed as positive (+).
- the amount of melanin decreases when it has a negative (-) SNP, and the amount of melanin tends to increase when it has a positive (+) SNP .
- cheek brightness the cheek brightness is dark when the SNP is displayed as negative (-), and the cheek brightness is bright when the SNP is displayed as positive (+).
- the yellow color of the cheek when it has an SNP displayed as negative (-), the yellowish color tends to be light, and when it has an SNP displayed as positive (+), the yellowish color tends to become darker.
- Stain refers to pigmentation mainly occurring on the face.
- the main cause of the stain is ultraviolet rays, which are caused by the increased activity of melanocytes due to the ultraviolet rays and the increased amount of melanin produced compared to other sites.
- ultraviolet rays In addition to ultraviolet rays, stress, lack of sleep, and collapse of female hormones also affect the formation of spots. Spots also include inflammatory pigmentation, senile pigment spots, liver spots, sparrow egg spots, and the like.
- the average spot area indicates the size of a spot when it occurs.
- the stain may be determined visually, or its presence may be determined by any other method. As an example, the stain index value can be determined using a device such as Via Evolution.
- the inner side of the upper arm is not easily affected by ultraviolet rays. Therefore, the SNP relating to the amount of melanin on the inner side of the upper arm shows a genetic tendency for the color of the skin, in other words, the color of the skin without the influence of ultraviolet rays. For example, an object that has a genetically large amount of melanin on the inner side of the upper arm can be said to be an object having a dark skin color.
- the face is a part that is always affected by ultraviolet rays. Therefore, the SNP related to the amount of melanin on the face indicates the ease of blackening due to the influence of ultraviolet rays.
- the cheek brightness and yellowness are related to the dullness of the skin. Causes of dullness include melanin content, blood circulation, drying, and aging (denaturation of proteins such as glycation and carbonylation).
- the cheek brightness and yellowness can be measured using a spectrocolorimeter.
- the SNP score for determining the skin color characteristic is represented by the following formula as an example, and the skin color characteristic can be determined based on the SNP score. On the other hand, the SNP selected for the determination of the SNP score may be arbitrarily removed.
- the skin property is skin quality, the following: rs2987983, rs1050565, rs11057830, rs12931267, rs17822931, rs1800414, rs1800629, rs2285053, rs3760776, rs3829251, rs74653330, rs7501331, rs1030868, rs10515552, rs1061622, rs10882272, rs1126610, rs2 147, rs2 At least one SNP selected from the group consisting of rs9340799, rs12377462, rs1485766, rs1501299, rs16891982, rs17577, rs1800012, rs2228479, rs3785079, rs1667255, rs2046571, rs2227564, rs2246416, rs4065, r
- Skin quality can be further subdivided into sebum amount, moisture content, and skin barrier function.
- the skin quality is sebum amount
- at least one SNP selected from the group consisting of the following: rs2987983, rs74653330, rs12931267, rs10882272, rs1667255, rs2046571, rs2227564, rs22446416, rs4065, rs4880, rs492602, rs6058017 and rs964184 is used. .
- rs7501331, rs3760776, rs3829251, rs17822931, rs1126643, rs12377462, rs1485766, rs1501299, rs16891982, rs17577, rs1800012, rs2228479, rs2282679, rs3785079, rs7201 and rs9340799 At least one SNP is used.
- Skin quality as skin characteristics can be subdivided into sebum amount, moisture amount (cheek, arm) and skin barrier function (cheek, arm) according to the above table.
- amount of sebum it refers to the skin where the measured value of the sebum amount increases and the skin where the measured value of the sebum amount tends to decrease.
- amount of moisture “good skin quality” means that the amount of moisture is large, and poor skin quality means that the amount of moisture is small.
- skin barrier function the amount of moisture transpiration is measured. Skin quality that tends to be high means that the skin barrier function is low. .
- the SNP score related to the skin function determination is expressed by the following formula, and the skin function can be determined based on the SNP score. Each characteristic of the subdivided skin function can be determined based on the following SNP score. On the other hand, the SNP selected for the determination of the SNP score may be arbitrarily removed.
- the invention in another aspect of the invention, relates to a computer for determining skin characteristics.
- a computer can execute the above-described skin characteristic determination method.
- the present invention also relates to a method or a program for controlling a computer for determining the skin characteristics of the present invention, as well as a storage medium storing said program.
- the computer of the present invention includes a storage unit, an input unit, an output unit, and a processing unit.
- the storage unit includes a memory device such as a RAM, a ROM, and a flash memory, a fixed disk device such as a hard disk drive, or a portable storage device such as a flexible disk and an optical disk.
- the storage unit stores programs and databases used for various processes of the computer, in addition to data and instructions input from the input unit, calculation processing results performed by the processing unit, and the like.
- the computer program may be installed via a computer-readable recording medium such as a CD-ROM or DVD-ROM, or via the Internet.
- the computer program is installed in the storage unit using a known setup program or the like.
- the storage unit is as follows: rs1030868, rs1050565, rs10515552, rs10741657, rs11057830, rs1107946, rs1256062, rs12785878, rs12931267, rs1501299, rs17822931, rs1799750, rs1800414, rs1800629, rs2046571, rs2241145, rs2246416, rs7983, rs7983, rs798 rs8326, rs833061, rs11234027, rs16891982, rs17577, rs1799724, rs1800012, rs2010963, rs2108622, rs2232228, rs3785079, rs7799039, rs10882272, rs1485766, rs1540771
- the information on these SNPs may further store information on SNPs in linkage disequilibrium with the SNPs.
- the information related to the SNP includes sequence information, and the information on the skin characteristics related to the SNP records the type and action of the skin characteristics, the SNP score, and the multiplier in the presence of homo.
- the input part includes an interface.
- the interface may be connected to an external storage device such as an operation unit such as a keyboard and a mouse, a communication unit such as a LAN and a port, a CD-ROM, a DVD-ROM, a BD-ROM, and a memory stick.
- Information on the SNP and information on skin characteristics related to the SNP may be input from the input unit and stored in the storage unit.
- target sequence information is input from the input unit.
- the input sequence information may be once stored in the storage unit or may be sent to the processing unit as it is.
- the target sequence information may be the entire genome sequence of the target, or only the target partial sequence. Processing instructions in the processing unit can be given from the input unit via the operation unit.
- the processing unit detects the presence of the SNP in the target sequence information. More specifically, the processing unit can detect the presence of the SNP in the target sequence information from the sequence information of the SNP stored in the storage unit and the target sequence information input from the input unit. Comparison of SNP sequence information stored in the storage unit with target sequence information input from the input unit, or SNP sequence information stored in the storage unit in the target sequence information input from the input unit The presence of SNP can be detected by searching for.
- the processing unit executes various arithmetic processes according to programs stored in the storage unit. The arithmetic processing is performed by a CPU included in the processing unit.
- the CPU includes a functional module that controls the input unit, the storage unit, and the output unit, and can perform various controls.
- Each of these units may be configured by an independent integrated circuit, a microprocessor, firmware, and the like.
- Information on the presence of the SNP detected by the processing unit may be temporarily stored in the storage unit, or the processing unit directly receives information on skin characteristics related to the SNP from the storage unit based on the presence of the SNP. Can also be read from the storage unit.
- an SNP score can be calculated based on the SNP information.
- the processing unit performs processing so as to output the read skin characteristic information from the output unit.
- the output unit is configured to output the skin characteristic information and / or the SNP score stored in the storage unit for the SNP detected by performing the calculation process in the data processing unit.
- the output unit may be a display device such as a liquid crystal display that directly displays the result of the arithmetic processing, an output unit such as a printer, or an interface unit for outputting to an external storage device or via a network. May be.
- the computer of the present invention constitutes a server, and the input unit and the output unit are each connected to a network via an interface unit.
- genome information and partial sequence information of the genome can be provided from an individual terminal connected to the network, and the presence of the SNP in which the provided sequence information has been processed in the server is detected, and the skin The characteristic can be determined and the determined skin characteristic can be output to the terminal.
- the skin characteristics can be determined from the SNP score.
- the relationship between the SNP score and the skin characteristics is shown based on the relationship between the SNP information and the skin characteristics obtained from 200 volunteers (FIGS. 3 to 16).
- These SNP scores vary depending on the population and the SNP to be selected.
- wrinkles it can be determined that wrinkles are likely to occur due to aging when the SNP score is 2 or more, more preferably 3 or more.
- a stain is likely to occur due to aging when the SNP score is 2 or more, more preferably 4 or more.
- texture when the SNP score is 2 or more, more preferably 3 or more, it can be determined that the texture is likely to deteriorate due to aging.
- one aspect of the present invention also relates to a counseling method.
- advice on lifestyle choices and selection of cosmetics and supplements to be used can be provided.
- the amount of melanin in the upper arm is related to the natural color of the skin of the human, and the amount of melanin on the face is related to the color of the skin affected by ultraviolet rays. Therefore, by SNP analysis, the amount of melanin in the upper arm is likely to be low, while the subject whose facial melanin amount is increased is fair, while being easily affected by ultraviolet rays, it needs more care for ultraviolet rays.
- Cosmetics and supplements can be provided.
- Such components include extracellular matrix degradation inhibitors, such as matrix metalloproteinase inhibitors, and more specifically collagenase inhibitors.
- Specific components include retinol, winged bean extract, mangosteen extract (usefulness of cosmetics, progress and future prospects of evaluation technology, Yakuji Nippo, (2001) Section 7, wrinkle-compatible cosmetics, pages 162-177).
- cosmetics and supplements that contain ingredients that have UV-cutting action, melanin production-inhibiting action, and / or keratin turnover-promoting action when it is determined that skin color problems such as spots are likely to occur.
- examples of such components include UV protection agents, vitamin C derivatives, hydroquinone, tranexamic acid, 4-methoxysalicylic acid potassium salt, arbutin, kojic acid, lucinol, vitamin C derivatives, etc. And future prospects, Yakuji Nipposha, (2001), Section 6, Whitening Cosmetics, pages 144-161). It is also possible to propose appropriate makeup bases and cosmetics, and make-up methods.
- cosmetics and supplements containing components that can enhance the skin function can be provided.
- the same improvement agent, sebum lowering agent, water content increase promoter, skin barrier function improving agent and the like are known.
- examples of such components include humectants, tranexamic acid, winged bean extract and the like.
- kits for the determination of skin properties includes the following: rs1030868, rs1050565, rs10515552, rs10741657, rs11057830, rs1107946, rs1256062, rs12785878, rs12931267, rs1501299, rs17822931, rs1799750, rs1800414, rs1800629, rs2046571, rs2241145, rs2246416, rs7983, rs7983, rs798 rs8326, rs833061, rs11234027, rs16891982, rs17577, rs1799724, rs1800012, rs2010963, rs2108622, rs2232228, rs3785079, rs7799039, rs10882272,
- nucleic acid reagent examples include a primer capable of selectively amplifying SNP, DNA polymerase, dNTP, and optionally an amplification buffer.
- Primers capable of amplifying SNPs can be arbitrarily designed for each SNP.
- the kit may further contain a probe detection reagent.
- a probe detection reagent As such a nucleic acid probe, an unfixed probe may be used, or a plurality of SNPs can be detected simultaneously using a probe immobilized on a DNA chip. Such a nucleic acid probe may be labeled so that a specific SNP can be detected.
- Skin characteristic value measurement Skin characteristic value for 200 female volunteers aged 35 to 59 years old, wrinkle condition, stain condition, skin color (face melanin amount, background melanin amount, brightness, yolk)
- the skin condition moisture content, barrier function, sebum content, agitation, texture state
- the wrinkle state and the stain state were calculated by using a dedicated analysis method from the photographed image using Visia Evolution (manufactured by Canfield Scientific), and used for the analysis.
- the skin color was analyzed using a spectrophotometer CM-700d (Konica Minolta), and the amount of melanin, brightness (L * / colorimetric value), and yellow (b * / colorimetric value) of the facial cheek were measured. .
- the skin color inside the upper arm which is a part not exposed to sunlight, was also measured, and the amount of melanin was calculated.
- the skin condition is measured using a dedicated commercial device to measure the stratum corneum moisture (Corneometer), transdermal moisture transpiration (barrier function) (Vapometer), sebum (Sebumeter), and beam (Cutometer).
- Skinvisiom II special analysis software was used to measure the texture disturbance.
- SNP genotyping Saliva was used as a genetic analysis sample. Saliva was collected using Oragene (registered trademark) DNA OG-500 (DNA Genotek Inc.) to stabilize the DNA. DNA was purified from saliva, SNP genotyping was performed using a DNA array, and information on preselected SNPs was obtained. The SNP to be analyzed was selected from those that are expected to affect the skin characteristic value from past dermatological knowledge.
- An odds ratio threshold was set, and skin property data was divided into two groups and combined with SNP genotypes to create a contingency table. Since the skin characteristic value changes with age, the threshold value also changes with age. Here, a comparison was made between these two groups, with the upper 1/4 of the skin characteristic values in a certain age range as the higher group and the lower 1/4 as the lower group.
- the selection criteria for the control group and the risk group were analyzed by setting the increase group as the risk group when the skin characteristic value increased with aging, and conversely, when decreasing, the decrease group was set as the risk group. .
- Two genotype samples were selected for each SNP, a 2 ⁇ 2 contingency table for the control group and the risk group was created and statistical tests were performed.
- Covariance structure analysis SEM analysis is a technique for modeling the relationship between continuous variables, and is a model analysis that integrates multiple regression analysis and factor analysis. Categorical variables can be applied by replacing them with dummy variables. Model variables are observation variables and latent variables (construction concept), skin characteristic value data, age, and SNP polymorphism data are observation variables. SNP polymorphism data is replaced with Wild ⁇ 0, Hetero ⁇ 1, Homo ⁇ 2. Handled by two dummy variables. The SEM model notation uses the lavaan notation that allows flexible model description.
- Analysis procedure (1) Define a model. (2) Estimate model parameters (parameters) so as to explain the variance structure of sample data to the maximum extent. (3) Check the model suitability index (an index indicating how much the distribution structure of the sample data can be explained). (4) Check the model parameter size and reliability (p-value). (5) If the goodness of fit and parameters are good, the analysis is completed. (6) If there is a model variable with good relevance but low reliability, the models (1) to (4) were analyzed and compared with the model excluding it. If the goodness of fit is bad, improve the model with reference to the correction index (an index indicating what kind of relationship should be added to the model to improve the goodness of fit), and compare (1) to (4) for comparison did.
- Model variables are (1) Objective variable (dependent variable): skin characteristic value (continuous value) (2) Explanatory variables (independent variables): Age group of 5 years and SNP polymorphism. Analysis procedure (1) A combination of an objective variable (skin characteristic value) and an explanatory variable (SNP) is determined. (2) The decision tree analysis is continuously divided so that the complexity (CP: Complexity Parameter) becomes small.
- the analysis is performed under the condition that the division continues as long as the CP decreases.
- the error rate of the model is calculated for each branch condition by the n-fold intersection confirmation method.
- n-fold intersection confirmation method data is divided into n sets, a decision tree is created using n-1 sets of them, the remaining one set of data is discriminated, and the error rate of the result is calculated. Perform n evaluations by swapping test data.
- the Min + 1SE method was adopted as a stop condition.
- a tree created up to the dividing point of the stop condition is a decision tree.
- SNPs selected for indexing are shown in Table 8 below.
- the analysis of the stain is represented by the following formula: Based on this, the SNP score (stain) was calculated. The relationship between the SNP score (stain) and the stain score (index) and the relationship between the SNP score (stain) and the frequency are shown in FIGS. 3A and 3B, respectively.
- the average skin area analysis of the skin average area analysis is the following formula: Based on the above, the SNP score (stain average area) was calculated. The relationship between the SNP score (spot average area) and the average spot area (index) and the relationship between the SNP score (spot average area) and the frequency are shown in FIGS. 4A and 4B, respectively.
- analysis of facial cheek melanin is expressed by the following formula: Based on this, the SNP score (facial cheek melanin) was calculated. The relationship between the SNP score (facial cheek melanin) and facial melanin (index) and the relationship between the SNP score (facial cheek melanin) and frequency are shown in FIGS. 5 (A) and (B), respectively.
- FIGS. 7A and 7B show the relationship between the SNP score (cheek brightness) and cheek brightness (L * : brightness), and the relationship between the SNP score (cheek brightness) and frequency, respectively. It was.
- FIGS. 8A and 8B show the relationship between the SNP score (cheek yellow) and cheek yellow (b * : color value) and the relationship between the SNP score (cheek yellow) and frequency, respectively.
- wrinkle analysis is expressed by the following formula: SNP score (wrinkle) was calculated based on The relationship between the SNP score (wrinkle) and the wrinkle score (index), and the relationship between the SNP score (wrinkle) and the frequency are shown in FIGS. 9A and 9B, respectively.
- the analysis of texture is the following formula: Based on the above, the SNP score (texture) was calculated. The relationship between the SNP score (texture) and the texture score (index) and the relationship between the SNP score (texture) and the frequency are shown in FIGS. 10A and 10B, respectively.
- the analysis of the beam among the analysis characteristics of the beam the following formula: Based on the above, the SNP score (beam) was calculated. The relationship between the SNP score (beam) and the beam score (R7) and the relationship between the SNP score (beam) and the frequency are shown in FIGS. 11 (A) and (B), respectively.
- Sebum-Forehead analysis is represented by the following formula:
- the SNP score (Sebum-Forehead) was calculated based on The relationship between the SNP score (sebum-forehead) and sebum score (AU) and the relationship between the SNP score (sebum-forehead) and frequency are shown in FIGS. 12A and 12B, respectively.
- Moisture content-cheek analysis of skin characteristics moisture content-cheek analysis, the following formula:
- the SNP score moisture content-cheek
- 13A and 13B show the relationship between the SNP score (water content-cheek) and the cheek corner layer water content (AU) and the relationship between the SNP score (water content-cheek) and frequency, respectively. It was shown to.
- FIGS. 14A and 14B show the relationship between the SNP score (water content-arm) and the arm horn layer water content (AU), and the relationship between the SNP score (water content-arm) and frequency, respectively. It was shown to.
- barrier-cheek analysis is expressed by the following formula: SNP score (barrier-cheek) was calculated based on 15A and 15B show the relationship between the SNP score (barrier-cheek) and buccal transdermal moisture transpiration (g / m 2 h), and the relationship between the SNP score (barrier-cheek) and frequency, respectively. It was shown to.
- FIGS. 16A and 16B show the relationship between the SNP score (barrier-arm) and transdermal water transpiration (g / m 2 h), and the relationship between the SNP score (barrier-arm) and frequency, respectively. It was shown to.
- the pair of skin characteristic value and genotype SNP it was analyzed which genotype SNP had a different distribution of skin characteristic value.
- the optimal regression model shown in Table 10 was set from the plot of age and each measured value, and the width prediction interval of the standard deviation ( ⁇ ) was determined.
- a sample group that deviates upward from the width prediction section is a high value group, and a sample group that deviates downward is a low value group.
- the high value group and the low value group were “cases” and the others were “controls”, chi-square test was applied, and selected SNPs are shown in Table 11 below.
- the detection of the influence of SNP was analyzed in two ways: dominant (apparent) and recessive (latency). The dominant was (wild + hetero) vs homo and the recessive was wild vs (hetero + homo).
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Abstract
Provided are a method for determining human skin characteristics on the basis of genetic elements by SNPs analysis, a computer for determining skin characteristics, and a program for controlling said computer. The method is based on detecting at least one SNP selected from the group consisting of rs1030868, rs1050565, rs10515552, rs10741657, rs11057830, rs1107946, rs1256062, rs12785878, rs12931267, rs1501299, rs17822931, rs1799750, rs1800414, rs1800629, rs2046571, rs2241145, rs2246416, rs2285053, rs2287074, rs2987983, rs3760776, rs3829251, rs6058017, rs74653330, rs7501331, rs8326, rs833061 rs11234027, rs16891982, rs17577, rs1799724, rs1800012, rs2010963, rs2108622, rs2232228, rs3785079, rs7799039, rs10882272, rs1485766, rs1540771, rs7201, rs964184, rs1993116, rs2060793, rs2282679, rs12272004, rs2227564, rs2298585, rs4065, rs4880, rs492602, rs12051272, rs1126643, rs2234693, rs3865188, rs11568737, rs1801133, rs2228479, rs41281112, rs1061622, rs8110862, rs9340799, rs12377462, rs1667255, rs12913832, and rs4654748.
Description
本発明は、SNP解析により遺伝要素に基づいてヒトの肌特性を決定する方法、肌特性を決定するコンピュータ、及び当該コンピュータを制御するプログラムに関する。決定された肌特性に基づいて、美容の指導サービス、化粧料やサプリメントなどの選択が可能になる。
The present invention relates to a method for determining human skin characteristics based on genetic elements by SNP analysis, a computer for determining skin characteristics, and a program for controlling the computer. Based on the determined skin characteristics, it is possible to select beauty guidance services, cosmetics, supplements, and the like.
肌特性は、各個人毎に千差万別であり、各個人の肌特性にあった化粧料を提供するために、従来は主に個別のカウンセリングが行われていた。カウンセリングは、顧客の自己診断によるアンケート結果や、肌の客観的情報、例えば機器により測定されたキメ、皮膚バリア機能、水分含量、弾性、粘性などについての情報に基づいて行われてきた。
The skin characteristics vary from person to person. Conventionally, individual counseling has been mainly performed in order to provide cosmetics suitable for each person's skin characteristics. Counseling has been performed based on questionnaire results from customer self-diagnosis and objective skin information, for example, information on texture, skin barrier function, moisture content, elasticity, viscosity, etc. measured by equipment.
しかしながら、顧客の自己診断は、あくまで主観的な判断であり、顧客の肌特性を正確に反映していなかった。また、機器により測定された客観的情報は、日々変化しうる肌状態について、検査時の状態を数値化しているにすぎず、将来生じうる肌トラブルなどを推測することは難しかった。
However, customer self-diagnosis is a subjective judgment, and does not accurately reflect the customer's skin characteristics. In addition, the objective information measured by the device merely quantifies the state at the time of the inspection with respect to the skin state that can change from day to day, and it is difficult to estimate skin troubles that may occur in the future.
将来生じうる肌トラブルを事前に予測することができれば、その予防の方策をとることができ、非常に有用である。
・ If skin problems that may occur in the future can be predicted in advance, the prevention measures can be taken, which is very useful.
近年、遺伝子のSNP解析に基づく肌検査が提案されており、特に肌質に直接関与するタンパク質をコードする遺伝子について、SNPと肌質との関係性が研究されてきている(特許文献1~4)。その結果、SNP解析結果に基づき、肌特性や、肌トラブルを予測する方法が提供されてきている。これらの研究では、肌質、例えばシワ、シミに直接関わることが明らかになっている遺伝子を対象として、SNPが調べられている。このような対象の遺伝子としては、例えば、MC1R、MMP1、SOD2、GPX1、ASIPなどが標的とされている。一方で、皮膚の肌特性に影響を与える遺伝子は、多岐に渡ることから、より多くの遺伝子におけるSNPと肌特性との関係について調べることが必要とされている。
In recent years, skin tests based on SNP analysis of genes have been proposed, and the relationship between SNP and skin quality has been studied particularly for genes encoding proteins directly involved in skin quality (Patent Documents 1 to 4). ). As a result, methods for predicting skin characteristics and skin problems based on SNP analysis results have been provided. In these studies, SNPs have been examined for genes that have been shown to be directly related to skin quality such as wrinkles and spots. Examples of such genes of interest include MC1R, MMP1, SOD2, GPX1, and ASIP. On the other hand, since there are a wide variety of genes that affect the skin characteristics of the skin, it is necessary to investigate the relationship between SNPs and skin characteristics in more genes.
これまでに知られていないSNPと、肌特性との関係を調べ、より高い信頼度で肌特性を決定する方法を開発することを目的とする。
The purpose of this study is to investigate the relationship between previously unknown SNPs and skin characteristics, and to develop a method for determining skin characteristics with higher reliability.
本発明者らは、200名の被験者において、これまで肌特性との関連が知られていたタンパク質のみならず、より広範なタンパク質におけるSNPを標的として、肌特性との関連について統計解析を試みた。その結果、肌特性、特にシワ、肌の色、及び肌の機能に関わるSNPを同定し、本発明に至った。
The present inventors attempted statistical analysis on the relationship with skin characteristics by targeting SNPs in a wider range of proteins as well as proteins that have been known to be associated with skin characteristics so far in 200 subjects. . As a result, SNPs related to skin characteristics, particularly wrinkles, skin color, and skin function were identified, and the present invention was achieved.
そこで、本発明は以下の発明:
rs1030868、rs1050565、rs10515552、rs10741657、rs11057830、rs1107946、rs1256062、rs12785878、rs12931267、rs1501299、rs17822931、rs1799750、rs1800414、rs1800629、rs2046571、rs2241145、rs2246416、rs2285053、rs2287074、rs2987983、rs3760776、rs3829251、rs6058017、rs74653330、rs7501331、rs8326、rs833061、rs11234027、rs16891982、rs17577、rs1799724、rs1800012、rs2010963、rs2108622、rs2232228、rs3785079、rs7799039、rs10882272、rs1485766、rs1540771、rs7201、rs964184、rs1993116、rs2060793、rs2282679、rs12272004、rs2227564、rs2298585、rs4065、rs4880、rs492602、rs12051272、rs1126643、rs2234693、rs3865188、rs11568737、rs1801133、rs2228479、rs41281112、rs1061622、rs8110862、rs9340799、rs12377462、rs1667255、rs12913832、及びrs4654748からなる群から選ばれる、少なくとも1のSNPを検出する工程、
検出されたSNPに基づき、肌特性を決定する工程
を含む、肌特性の決定方法に関する。 Therefore, the present invention provides the following inventions:
rs1030868, rs1050565, rs10515552, rs10741657, rs11057830, rs1107946, rs1256062, rs12785878, rs12931267, rs1501299, rs17822931, rs1799750, rs1800414, rs1800629, rs2046571, rs2241145, rs2246416, rs7983, rs7983, rs798 rs8326, rs833061, rs11234027, rs16891982, rs17577, rs1799724, rs1800012, rs2010963, rs2108622, rs2232228, rs3785079, rs7799039, rs10882272, rs1485766, rs1540771, rs7201, rs964184, rs1993116, rs2060793, rs2282rs, 586 detecting at least one SNP selected from the group consisting of rs492602, rs12051272, rs1126643, rs2234693, rs3865188, rs11568737, rs1801133, rs2228479, rs41281112, rs1061622, rs8110862, rs9340799, rs12377462, rs1667255, rs12913832, and rs4654748,
The present invention relates to a skin property determination method including a step of determining a skin property based on a detected SNP.
rs1030868、rs1050565、rs10515552、rs10741657、rs11057830、rs1107946、rs1256062、rs12785878、rs12931267、rs1501299、rs17822931、rs1799750、rs1800414、rs1800629、rs2046571、rs2241145、rs2246416、rs2285053、rs2287074、rs2987983、rs3760776、rs3829251、rs6058017、rs74653330、rs7501331、rs8326、rs833061、rs11234027、rs16891982、rs17577、rs1799724、rs1800012、rs2010963、rs2108622、rs2232228、rs3785079、rs7799039、rs10882272、rs1485766、rs1540771、rs7201、rs964184、rs1993116、rs2060793、rs2282679、rs12272004、rs2227564、rs2298585、rs4065、rs4880、rs492602、rs12051272、rs1126643、rs2234693、rs3865188、rs11568737、rs1801133、rs2228479、rs41281112、rs1061622、rs8110862、rs9340799、rs12377462、rs1667255、rs12913832、及びrs4654748からなる群から選ばれる、少なくとも1のSNPを検出する工程、
検出されたSNPに基づき、肌特性を決定する工程
を含む、肌特性の決定方法に関する。 Therefore, the present invention provides the following inventions:
rs1030868, rs1050565, rs10515552, rs10741657, rs11057830, rs1107946, rs1256062, rs12785878, rs12931267, rs1501299, rs17822931, rs1799750, rs1800414, rs1800629, rs2046571, rs2241145, rs2246416, rs7983, rs7983, rs798 rs8326, rs833061, rs11234027, rs16891982, rs17577, rs1799724, rs1800012, rs2010963, rs2108622, rs2232228, rs3785079, rs7799039, rs10882272, rs1485766, rs1540771, rs7201, rs964184, rs1993116, rs2060793, rs2282rs, 586 detecting at least one SNP selected from the group consisting of rs492602, rs12051272, rs1126643, rs2234693, rs3865188, rs11568737, rs1801133, rs2228479, rs41281112, rs1061622, rs8110862, rs9340799, rs12377462, rs1667255, rs12913832, and rs4654748,
The present invention relates to a skin property determination method including a step of determining a skin property based on a detected SNP.
さらに別の態様では、本発明は、肌特性を決定するコンピュータであって、
以下の:
rs1030868、rs1050565、rs10515552、rs10741657、rs11057830、rs1107946、rs1256062、rs12785878、rs12931267、rs1501299、rs17822931、rs1799750、rs1800414、rs1800629、rs2046571、rs2241145、rs2246416、rs2285053、rs2287074、rs2987983、rs3760776、rs3829251、rs6058017、rs74653330、rs7501331、rs8326、rs833061、rs11234027、rs16891982、rs17577、rs1799724、rs1800012、rs2010963、rs2108622、rs2232228、rs3785079、rs7799039、rs10882272、rs1485766、rs1540771、rs7201、rs964184、rs1993116、rs2060793、rs2282679、rs12272004、rs2227564、rs2298585、rs4065、rs4880、rs492602、rs12051272、rs1126643、rs2234693、rs3865188、rs11568737、rs1801133、rs2228479、rs41281112、rs1061622、rs8110862、rs9340799、rs12377462、rs1667255、rs12913832、及びrs4654748からなる群から選ばれる少なくとも1のSNPに関する情報と、当該SNPと関連する肌特性の情報とを記憶させた記憶部、
利用者のDNA情報を入力する入力部、
入力されたDNA情報中において、記憶されたSNPの存在を検出する検出部、
検出されたSNPに関連する肌特性の情報を出力する出力部
を含む、コンピュータに関する。本発明のさらなる態様では、このようなコンピュータを制御する方法及び/又は制御プログラムにも関し、さらにかかる制御プログラムを格納した記憶媒体にも関する。 In yet another aspect, the present invention is a computer for determining skin characteristics,
below:
rs1030868, rs1050565, rs10515552, rs10741657, rs11057830, rs1107946, rs1256062, rs12785878, rs12931267, rs1501299, rs17822931, rs1799750, rs1800414, rs1800629, rs2046571, rs2241145, rs2246416, rs7983, rs7983, rs798 rs8326, rs833061, rs11234027, rs16891982, rs17577, rs1799724, rs1800012, rs2010963, rs2108622, rs2232228, rs3785079, rs7799039, rs10882272, rs1485766, rs1540771, rs7201, rs964184, rs1993116, rs2060793, rs2282rs, 586 information related to at least one SNP selected from the group consisting of rs492602, rs12051272, rs1126643, rs2234693, rs3865188, rs11568737, rs1801133, rs2228479, rs41281112, rs1061622, rs8110862, rs9340799, rs12377462, rs1667255, rs12913832, and rs4654748 A storage unit that stores information on skin characteristics to be
An input unit for inputting the user's DNA information;
A detection unit for detecting the presence of a stored SNP in the input DNA information;
The present invention relates to a computer including an output unit that outputs information on skin characteristics related to a detected SNP. A further aspect of the present invention relates to a method and / or control program for controlling such a computer, and further to a storage medium storing such a control program.
以下の:
rs1030868、rs1050565、rs10515552、rs10741657、rs11057830、rs1107946、rs1256062、rs12785878、rs12931267、rs1501299、rs17822931、rs1799750、rs1800414、rs1800629、rs2046571、rs2241145、rs2246416、rs2285053、rs2287074、rs2987983、rs3760776、rs3829251、rs6058017、rs74653330、rs7501331、rs8326、rs833061、rs11234027、rs16891982、rs17577、rs1799724、rs1800012、rs2010963、rs2108622、rs2232228、rs3785079、rs7799039、rs10882272、rs1485766、rs1540771、rs7201、rs964184、rs1993116、rs2060793、rs2282679、rs12272004、rs2227564、rs2298585、rs4065、rs4880、rs492602、rs12051272、rs1126643、rs2234693、rs3865188、rs11568737、rs1801133、rs2228479、rs41281112、rs1061622、rs8110862、rs9340799、rs12377462、rs1667255、rs12913832、及びrs4654748からなる群から選ばれる少なくとも1のSNPに関する情報と、当該SNPと関連する肌特性の情報とを記憶させた記憶部、
利用者のDNA情報を入力する入力部、
入力されたDNA情報中において、記憶されたSNPの存在を検出する検出部、
検出されたSNPに関連する肌特性の情報を出力する出力部
を含む、コンピュータに関する。本発明のさらなる態様では、このようなコンピュータを制御する方法及び/又は制御プログラムにも関し、さらにかかる制御プログラムを格納した記憶媒体にも関する。 In yet another aspect, the present invention is a computer for determining skin characteristics,
below:
rs1030868, rs1050565, rs10515552, rs10741657, rs11057830, rs1107946, rs1256062, rs12785878, rs12931267, rs1501299, rs17822931, rs1799750, rs1800414, rs1800629, rs2046571, rs2241145, rs2246416, rs7983, rs7983, rs798 rs8326, rs833061, rs11234027, rs16891982, rs17577, rs1799724, rs1800012, rs2010963, rs2108622, rs2232228, rs3785079, rs7799039, rs10882272, rs1485766, rs1540771, rs7201, rs964184, rs1993116, rs2060793, rs2282rs, 586 information related to at least one SNP selected from the group consisting of rs492602, rs12051272, rs1126643, rs2234693, rs3865188, rs11568737, rs1801133, rs2228479, rs41281112, rs1061622, rs8110862, rs9340799, rs12377462, rs1667255, rs12913832, and rs4654748 A storage unit that stores information on skin characteristics to be
An input unit for inputting the user's DNA information;
A detection unit for detecting the presence of a stored SNP in the input DNA information;
The present invention relates to a computer including an output unit that outputs information on skin characteristics related to a detected SNP. A further aspect of the present invention relates to a method and / or control program for controlling such a computer, and further to a storage medium storing such a control program.
さらに本発明は、肌特性の決定方法や、肌特性を決定するコンピュータにより決定された肌特性に基づき、化粧料、サプリメント、及び/又は美容法を提供する方法にも関する。
The present invention further relates to a method for determining skin characteristics and a method for providing cosmetics, supplements, and / or beauty methods based on skin characteristics determined by a computer that determines skin characteristics.
本発明により、肌特性を決定することが可能となり、決定された肌特性に基づく化粧料、サプリメント、及び/又は美容法の提供が可能になる。
The present invention makes it possible to determine skin characteristics and to provide cosmetics, supplements, and / or beauty methods based on the determined skin characteristics.
本発明は、肌特性と関連のあるSNPを検出する工程、
検出されたSNPに基づき、肌特性を決定する工程
を含む、肌特性の決定方法に関する。ここで、肌特性と関連のあるSNPとしては、以下の:
rs1030868、rs1050565、rs10515552、rs10741657、rs11057830、rs1107946、rs1256062、rs12785878、rs12931267、rs1501299、rs17822931、rs1799750、rs1800414、rs1800629、rs2046571、rs2241145、rs2246416、rs2285053、rs2287074、rs2987983、rs3760776、rs3829251、rs6058017、rs74653330、rs7501331、rs8326、rs833061、rs11234027、rs16891982、rs17577、rs1799724、rs1800012、rs2010963、rs2108622、rs2232228、rs3785079、rs7799039、rs10882272、rs1485766、rs1540771、rs7201、rs964184、rs1993116、rs2060793、rs2282679、rs12272004、rs2227564、rs2298585、rs4065、rs4880、rs492602、rs12051272、rs1126643、rs2234693、rs3865188、rs11568737、rs1801133、rs2228479、rs41281112、rs1061622、rs8110862、rs9340799、rs12377462、rs1667255、rs12913832、及びrs4654748
からなる群から選ばれる、少なくとも一つのSNPが用いられる。 The present invention includes a step of detecting a SNP associated with skin characteristics,
The present invention relates to a skin property determination method including a step of determining a skin property based on a detected SNP. Here, SNPs related to skin characteristics include the following:
rs1030868, rs1050565, rs10515552, rs10741657, rs11057830, rs1107946, rs1256062, rs12785878, rs12931267, rs1501299, rs17822931, rs1799750, rs1800414, rs1800629, rs2046571, rs2241145, rs2246416, rs7983, rs7983, rs798 rs8326, rs833061, rs11234027, rs16891982, rs17577, rs1799724, rs1800012, rs2010963, rs2108622, rs2232228, rs3785079, rs7799039, rs10882272, rs1485766, rs1540771, rs7201, rs964184, rs1993116, rs2060793, rs2282rs, 586 rs492602, rs12051272, rs1126643, rs2234693, rs3865188, rs11568737, rs1801133, rs2228479, rs41281112, rs1061622, rs8110862, rs9340799, rs12377462, rs1667255, rs12913832, and rs4654748
At least one SNP selected from the group consisting of:
検出されたSNPに基づき、肌特性を決定する工程
を含む、肌特性の決定方法に関する。ここで、肌特性と関連のあるSNPとしては、以下の:
rs1030868、rs1050565、rs10515552、rs10741657、rs11057830、rs1107946、rs1256062、rs12785878、rs12931267、rs1501299、rs17822931、rs1799750、rs1800414、rs1800629、rs2046571、rs2241145、rs2246416、rs2285053、rs2287074、rs2987983、rs3760776、rs3829251、rs6058017、rs74653330、rs7501331、rs8326、rs833061、rs11234027、rs16891982、rs17577、rs1799724、rs1800012、rs2010963、rs2108622、rs2232228、rs3785079、rs7799039、rs10882272、rs1485766、rs1540771、rs7201、rs964184、rs1993116、rs2060793、rs2282679、rs12272004、rs2227564、rs2298585、rs4065、rs4880、rs492602、rs12051272、rs1126643、rs2234693、rs3865188、rs11568737、rs1801133、rs2228479、rs41281112、rs1061622、rs8110862、rs9340799、rs12377462、rs1667255、rs12913832、及びrs4654748
からなる群から選ばれる、少なくとも一つのSNPが用いられる。 The present invention includes a step of detecting a SNP associated with skin characteristics,
The present invention relates to a skin property determination method including a step of determining a skin property based on a detected SNP. Here, SNPs related to skin characteristics include the following:
rs1030868, rs1050565, rs10515552, rs10741657, rs11057830, rs1107946, rs1256062, rs12785878, rs12931267, rs1501299, rs17822931, rs1799750, rs1800414, rs1800629, rs2046571, rs2241145, rs2246416, rs7983, rs7983, rs798 rs8326, rs833061, rs11234027, rs16891982, rs17577, rs1799724, rs1800012, rs2010963, rs2108622, rs2232228, rs3785079, rs7799039, rs10882272, rs1485766, rs1540771, rs7201, rs964184, rs1993116, rs2060793, rs2282rs, 586 rs492602, rs12051272, rs1126643, rs2234693, rs3865188, rs11568737, rs1801133, rs2228479, rs41281112, rs1061622, rs8110862, rs9340799, rs12377462, rs1667255, rs12913832, and rs4654748
At least one SNP selected from the group consisting of:
本発明において、SNPは、rs番号(Reference SNP ID number)で表示されている。各rs番号に対応するSNPの詳細情報(染色体上の位置や変異)については、米国国立生物工学情報センター(NCBI)により管理されており、NCBIのホームページ(http://www.ncbi.nlm.nih.gov/)において参照可能である。
In the present invention, the SNP is displayed as an rs number (Reference SNP ID number). Detailed information (location and mutation on the chromosome) of the SNP corresponding to each rs number is managed by the National Center for Biotechnology Information (NCBI), and the NCBI website (http: //www.ncbi.nlm. nih.gov/).
SNPの検出は、公知である任意の方法で行われてよい。一例として、被験者の生体試料、例えば唾液、血液、粘膜、組織片、毛髪等から、定法に基づき、被験者の核酸を精製し、精製された核酸においてSNPが検出される。したがって、本発明の肌特性の決定方法には、試料調製工程、核酸精製工程がさらに含まれていてもよい。核酸は、DNA又はRNAであってよく、RNAの場合、精製後に逆転写を行い、DNAを調製することが好ましい。SNP検出工程では、精製された核酸においてSNPの検出を可能にする手法であれば、任意の方法を用いることができる。対象となるSNPの位置周辺の配列決定を行って、SNPを検出することもできるし、PCR法をベースとした手法、DNAプローブを用いた手法、質量分析を用いた手法を用いて検出することもできる。PCRをベースとした手法として、SNPタイピング法、TaqMan PCR法、一塩基伸長法、Pyrosequencing法、Exonuclease Cycling Assay法などが挙げられる。DNAプローブを用いた手法としては、Invader法などが挙げられる(網羅的遺伝子多型解析(SNP)日薬理誌、125, 148-152, 2005)。SNPは、連鎖不平衡にある別のSNPを伴うことがある。目的とするSNPと連鎖不平衡にあるSNPを検出することで、目的とするSNPを検出することができる。したがって、本発明において、SNPの検出とは、目的とするSNPを直接検出することに限定されず、連鎖不平衡にあるSNPを検出することで、目的とするSNPを検出することも含まれるものとする。
SNP detection may be performed by any known method. As an example, a subject's nucleic acid is purified from a subject's biological sample, for example, saliva, blood, mucous membrane, tissue piece, hair, and the like based on a conventional method, and SNP is detected in the purified nucleic acid. Therefore, the method for determining skin characteristics of the present invention may further include a sample preparation step and a nucleic acid purification step. The nucleic acid may be DNA or RNA. In the case of RNA, it is preferable to prepare DNA by performing reverse transcription after purification. In the SNP detection step, any method can be used as long as it is a technique that enables detection of SNP in the purified nucleic acid. SNP can be detected by sequencing around the position of the target SNP, or it can be detected using a method based on the PCR method, a method using a DNA probe, or a method using mass spectrometry You can also. Examples of PCR-based techniques include SNP typing method, TaqMan PCR method, single nucleotide extension method, pyrosequencing method, Exonuclease Cycling assay method. As a technique using a DNA probe, the Invader method and the like can be mentioned (exhaustive gene polymorphism analysis (SNP), Japanese Pharmacology Journal, 125, 148-152, 2005). A SNP may involve another SNP that is in linkage disequilibrium. By detecting a SNP that is in linkage disequilibrium with the target SNP, the target SNP can be detected. Therefore, in the present invention, the detection of the SNP is not limited to directly detecting the target SNP, but includes detecting the target SNP by detecting the SNP in linkage disequilibrium. And
また、既に配列決定がされた個人の塩基配列に基づきSNPの存在を検出することもできる。この場合、既に決定された塩基配列のデータ内で、SNPの存在する位置の配列を調べることで、SNPの存在を検出できる。したがって、この場合のSNPの検出は、SNP情報が記憶されたコンピュータに、塩基配列データを入力することで行われてもよい。より好ましい態様では、入力は、端末からインターネットを介して入力され、サーバー上でSNPが検出され、検出結果をインターネットを介して当該端末に出力することができる。
It is also possible to detect the presence of SNPs based on the base sequences of individuals that have already been sequenced. In this case, the presence of the SNP can be detected by examining the sequence at the position where the SNP exists in the data of the already determined base sequence. Therefore, the detection of the SNP in this case may be performed by inputting the base sequence data to a computer in which the SNP information is stored. In a more preferable aspect, the input is input from the terminal via the Internet, the SNP is detected on the server, and the detection result can be output to the terminal via the Internet.
本発明により肌特性を検出される対象は、任意の人種であってよい。一方でSNPは人種間においてその種類や存在量が変動しうることから、人種を特定した上で、SNPを特定することが好ましい。特にヒトの皮膚色に関して肌特性が検出される場合、対象となる人種は、黄色人種(モンゴロイド)であることが好ましい。
The subject whose skin characteristics are detected according to the present invention may be any race. On the other hand, since the kind and abundance of SNPs can vary between races, it is preferable to identify SNPs after identifying races. In particular, when skin characteristics are detected with respect to human skin color, the target race is preferably a yellow race (Mongoloid).
肌特性としては、肌形状特性、肌質、及び肌の色特性からなる群から選ばれる少なくとも一つについて、決定することができる。SNPとこれらの肌特性との関係は、SNPのヘテロ又はホモでの存在が、これらの肌特性に対し、ネガティブに働く場合と、ポジティブに働く場合がある。ネガティブに働くSNPの数と、ポジティブに働くSNPの数とに基づきSNPスコアを算出することができる。一例として、ポジティブに働くSNPの数から、ネガティブに働くSNPの数を減じることで、SNPスコアを算出することができる。別の例として、その逆、すなわちネガティブに働くSNPの数から、ポジティブに働くSNPの数を減じることで、SNPスコアを算出してもよい。肌特性とSNPスコアとの関係を、予め決定しておくことで、被験者における肌特性を、算出されたSNPスコアに基づき決定することができる。
As skin characteristics, at least one selected from the group consisting of skin shape characteristics, skin quality, and skin color characteristics can be determined. Regarding the relationship between SNP and these skin characteristics, the presence or absence of SNP in a hetero or homogeneous state may work negatively or positively for these skin characteristics. The SNP score can be calculated based on the number of SNPs that work negatively and the number of SNPs that work positively. As an example, the SNP score can be calculated by subtracting the number of SNPs that work negatively from the number of SNPs that work positively. As another example, the SNP score may be calculated by subtracting the number of SNPs that work positively from the opposite, that is, the number of SNPs that work negatively. By predetermining the relationship between the skin characteristic and the SNP score, the skin characteristic in the subject can be determined based on the calculated SNP score.
肌特性が肌形状特性である場合、以下の:
rs1256062、rs10515552、rs1107946、rs12785878、rs12931267、rs1501299、rs1799750、rs1800629、rs2285053、rs3760776、rs12051272、rs1030868、rs10741657、rs11057830、rs11234027、rs1126643、rs11568737、rs1485766、rs1540771、rs16891982、rs17577、rs1799724、rs1800012、rs1801133、rs1993116、rs2010963、rs2060793、rs2108622、rs2228479、rs2232228、rs2234693、rs2241145、rs2246416、rs2287074、rs3785079、rs3829251、rs3865188、rs4065、rs41281112、rs492602、rs6058017、rs7501331、rs7799039、rs8326、及びrs964184からなる群から選ばれる少なくとも1のSNPを用いられる。肌形状特性は、さらにシワ、キメ、及びハリに細分化することができる。肌形状特性がシワである場合、以下の:rs1800629、rs1107946、rs1501299、rs10515552、rs12785878、rs12051272、rs1126643、rs1256062、rs1485766、rs1799750、rs2234693、rs2246416、rs3760776、rs3865188、rs4065、rs6058017、及びrs964184からなる群から選ばれる少なくとも1のSNPを用いられる。肌形状特性がキメである場合に、以下の:rs1256062、rs1799750、rs12931267、rs11057830、rs1107946、rs11234027、rs16891982、rs17577、rs1799724、rs1800012、rs2010963、rs2108622、rs2232228、rs3785079、rs3829251、rs7501331、rs7799039からなる群から選ばれる少なくとも1のSNPを用いられる。肌形状特性が、ハリである場合に、以下の:rs1256062、rs3760776、rs12931267、及びrs2285053からなる群から選ばれる少なくとも1のSNPを用いられる。これらのSNPと、SNPが存在する遺伝子との関係は以下の通りである。
これらのSNPのうち、上記作用がネガティブ(-)と表示されているSNPがヘテロ又はホモで存在する場合、シワができにくいと決定することができる一方で、上記作用がポジティブ(+)と表示されているSNPがヘテロ又はホモで存在する場合、シワができやすいと決定することができる。
If the skin property is a skin shape property, the following:
rs1256062, rs10515552, rs1107946, rs12785878, rs12931267, rs1501299, rs1799750, rs1800629, rs2285053, rs3760776, rs12051272, rs1030868, rs10741657, rs11057830, rs11234027, rs1126643, rs11568737, rs1485766, rs1540797, 180, rs1540797, 180 rs2010963, rs2060793, rs2108622, rs2228479, rs2232228, rs2234693, rs2241145, rs2246416, rs2287074, rs3785079, rs3829251, rs3865188, rs4065, rs41281112, rs492602, rs6058017, rs7501331, rs7799039, rs9641 Is used. Skin shape characteristics can be further subdivided into wrinkles, textures and firmness. If the skin shape characteristic is wrinkle, the following: from rs1800629, rs1107946, rs1501299, rs10515552, rs12785878, rs12051272, rs1126643, rs1256062, rs1485766, rs1799750, rs2234693, rs2246416, rs3760776, rs4065, rs4065, and rs96458017 At least one SNP selected is used. When the skin shape characteristic is texture, the following: rs1256062, rs1799750, rs12931267, rs11057830, rs1107946, rs11234027, rs16891982, rs17577, rs1799724, rs1800012, rs2010963, rs2108622, rs2232228, rs3785079, rs3829251, rs7501331, rs7501331 At least one SNP selected is used. When the skin shape characteristic is firm, at least one SNP selected from the group consisting of the following: rs1256062, rs3760776, rs12931267, and rs2285053 is used. The relationship between these SNPs and the gene in which the SNP exists is as follows.
Among these SNPs, when a SNP in which the above action is indicated as negative (-) is present in heterogeneous or homozygous state, it can be determined that wrinkles are difficult to occur, while the above action is indicated as positive (+). It can be determined that wrinkles are likely to occur when the SNPs present are heterozygous or homozygous.
rs1256062、rs10515552、rs1107946、rs12785878、rs12931267、rs1501299、rs1799750、rs1800629、rs2285053、rs3760776、rs12051272、rs1030868、rs10741657、rs11057830、rs11234027、rs1126643、rs11568737、rs1485766、rs1540771、rs16891982、rs17577、rs1799724、rs1800012、rs1801133、rs1993116、rs2010963、rs2060793、rs2108622、rs2228479、rs2232228、rs2234693、rs2241145、rs2246416、rs2287074、rs3785079、rs3829251、rs3865188、rs4065、rs41281112、rs492602、rs6058017、rs7501331、rs7799039、rs8326、及びrs964184からなる群から選ばれる少なくとも1のSNPを用いられる。肌形状特性は、さらにシワ、キメ、及びハリに細分化することができる。肌形状特性がシワである場合、以下の:rs1800629、rs1107946、rs1501299、rs10515552、rs12785878、rs12051272、rs1126643、rs1256062、rs1485766、rs1799750、rs2234693、rs2246416、rs3760776、rs3865188、rs4065、rs6058017、及びrs964184からなる群から選ばれる少なくとも1のSNPを用いられる。肌形状特性がキメである場合に、以下の:rs1256062、rs1799750、rs12931267、rs11057830、rs1107946、rs11234027、rs16891982、rs17577、rs1799724、rs1800012、rs2010963、rs2108622、rs2232228、rs3785079、rs3829251、rs7501331、rs7799039からなる群から選ばれる少なくとも1のSNPを用いられる。肌形状特性が、ハリである場合に、以下の:rs1256062、rs3760776、rs12931267、及びrs2285053からなる群から選ばれる少なくとも1のSNPを用いられる。これらのSNPと、SNPが存在する遺伝子との関係は以下の通りである。
rs1256062, rs10515552, rs1107946, rs12785878, rs12931267, rs1501299, rs1799750, rs1800629, rs2285053, rs3760776, rs12051272, rs1030868, rs10741657, rs11057830, rs11234027, rs1126643, rs11568737, rs1485766, rs1540797, 180, rs1540797, 180 rs2010963, rs2060793, rs2108622, rs2228479, rs2232228, rs2234693, rs2241145, rs2246416, rs2287074, rs3785079, rs3829251, rs3865188, rs4065, rs41281112, rs492602, rs6058017, rs7501331, rs7799039, rs9641 Is used. Skin shape characteristics can be further subdivided into wrinkles, textures and firmness. If the skin shape characteristic is wrinkle, the following: from rs1800629, rs1107946, rs1501299, rs10515552, rs12785878, rs12051272, rs1126643, rs1256062, rs1485766, rs1799750, rs2234693, rs2246416, rs3760776, rs4065, rs4065, and rs96458017 At least one SNP selected is used. When the skin shape characteristic is texture, the following: rs1256062, rs1799750, rs12931267, rs11057830, rs1107946, rs11234027, rs16891982, rs17577, rs1799724, rs1800012, rs2010963, rs2108622, rs2232228, rs3785079, rs3829251, rs7501331, rs7501331 At least one SNP selected is used. When the skin shape characteristic is firm, at least one SNP selected from the group consisting of the following: rs1256062, rs3760776, rs12931267, and rs2285053 is used. The relationship between these SNPs and the gene in which the SNP exists is as follows.
シワ決定のためのSNPスコアは、一例として下記の式により表され、かかるSNPスコアに基づき、シワ状態を決定することができる。
一方で、SNPスコア(シワ)の決定のために選択されたSNPは、任意に除去されてもよい。
The SNP score for wrinkle determination is represented by the following formula as an example, and the wrinkle state can be determined based on the SNP score.
On the other hand, the SNP selected for the determination of the SNP score (wrinkles) may be arbitrarily removed.
肌特性が肌の色特性である場合、以下の:
rs1030868、rs10741657、rs1107946、rs12785878、rs1799750、rs2046571、rs2241145、rs2246416、rs2285053、rs2287074、rs3760776、rs3829251、rs6058017、rs74653330、rs8326、rs833061、rs10515552、rs10882272、rs11057830、rs11234027、rs1126643、rs12272004、rs1256062、rs12913832、rs1485766、rs1501299、rs1540771、rs17577、rs1799724、rs1800629、rs1993116、rs2010963、rs2060793、rs2227564、rs2228479、rs2232228、rs2282679、rs2298585、rs2987983、rs3785079、rs3865188、rs4065、rs41281112、rs4654748、rs4880、rs492602、rs7201、rs9340799、及びrs964184からなる群から選ばれる少なくとも1のSNPを用いられる。肌の色特性は、さらに、肌の地色、紫外線曝露部の肌の色、シミ、明るさ及び黄色みに細分化することができる。肌の色特性が肌の地色である場合、以下の:rs3760776、rs2246416、rs2241145、rs10741657、rs6058017、rs2287074、rs74653330、rs1256062、rs17577、rs3865188、rs41281112、及びrs8326からなる群から選ばれる少なくとも1のSNPを用いられる。肌の色特性が肌の紫外線曝露部の肌の色である場合に、以下の:rs2241145、rs6058017、rs1799750、rs1030868、rs2287074、rs2046571、rs2285053、rs10741657、rs2246416、rs1107946、rs7201、及びrs74653330からなる群から選ばれる少なくとも1のSNPを用いられる。肌の色特性が、シミである場合に、以下の:rs1030868、rs12785878、rs1799750、rs2046571、rs2241145、rs3829251、rs8326、rs833061、rs10515552、rs10741657、rs10882272、rs11057830、rs11234027、rs12272004、rs1256062、rs1485766、rs1501299、rs1540771、rs1799724、rs1800629、rs1993116、rs2010963、rs2060793、rs2227564、rs2232228、rs2246416、rs2282679、rs2298585、rs2987983、rs4065、rs4880、rs492602、rs6058017、rs7201、及びrs964184からなる群から選ばれる少なくとも1のSNPを用いられる。肌の色特性が、明るさである場合に、以下の:rs2285053、rs6058017、rs74653330、rs2246416、rs11057830、rs1126643、rs1799724、rs2228479、rs2232228、rs4654748、rs833061、及びrs9340799からなる群から選ばれる少なくとも1のSNPを用いられる。
肌の色特性が、黄色みである場合に、以下の:rs10741657、rs6058017、rs2241145、rs2285053、rs1799750、rs1030868、rs2246416、rs1107946、rs1126643、rs12913832、rs17577、rs3785079、rs492602、rs74653330、rs833061、及びrs9340799からなる群から選ばれる少なくとも1のSNPを用いられる。 If the skin characteristics are skin color characteristics, then:
rs1030868, rs10741657, rs1107946, rs12785878, rs1799750, rs2046571, rs2241145, rs2246416, rs2285053, rs2287074, rs3760776, rs3829251, rs6058017, rs74653330, rs8326, rs833061, rs10515552, rs34027, 129 rs1501299, rs1540771, rs17577, rs1799724, rs1800629, rs1993116, rs2010963, rs2060793, rs2227564, rs2228479, rs2232228, rs2282679, rs2298585, rs2987983, rs3785079, rs3865188, rs4065, rs41281112, rs4654, rs4, 184 At least one SNP selected from the group is used. The color characteristics of the skin can be further subdivided into the background color of the skin, the color of the skin of the UV-exposed part, the stain, the brightness and the yellowness. If the skin color characteristic is the ground color of the skin, at least one SNP selected from the group consisting of: rs3760776, rs2246416, rs2241145, rs10741657, rs6058017, rs2287074, rs74653330, rs1256062, rs17577, rs3865188, rs41281112, and rs8326 Is used. From the group consisting of: rs2241145, rs6058017, rs1799750, rs1030868, rs2287074, rs2046571 At least one SNP selected is used. If the skin color characteristic is a stain, the following: At least one SNP selected from the group consisting of rs1799724, rs1800629, rs1993116, rs2010963, rs2060793, rs2227564, rs2232228, rs2246416, rs2282679, rs2298585, rs2987983, rs4065, rs4880, rs492602, rs6058017, rs7201, and rs964184 is used. When the skin color characteristic is brightness, at least one SNP selected from the group consisting of: rs2285053, rs6058017, rs74653330, rs2246416, rs11057830, rs1126643, rs1799724, rs2228479, rs2232228, rs4654748, rs833061, and rs9340799 Is used.
When the skin color property is yellowish, it consists of the following: rs10741657, rs6058017, rs2241145, rs2285053, rs1799750, rs1030868, rs2246416, rs1107946, rs1126643, rs12913832, rs17577, rs3785079, rs492602, rs74653330, rs833061 and rs9340799 At least one SNP selected from the group is used.
rs1030868、rs10741657、rs1107946、rs12785878、rs1799750、rs2046571、rs2241145、rs2246416、rs2285053、rs2287074、rs3760776、rs3829251、rs6058017、rs74653330、rs8326、rs833061、rs10515552、rs10882272、rs11057830、rs11234027、rs1126643、rs12272004、rs1256062、rs12913832、rs1485766、rs1501299、rs1540771、rs17577、rs1799724、rs1800629、rs1993116、rs2010963、rs2060793、rs2227564、rs2228479、rs2232228、rs2282679、rs2298585、rs2987983、rs3785079、rs3865188、rs4065、rs41281112、rs4654748、rs4880、rs492602、rs7201、rs9340799、及びrs964184からなる群から選ばれる少なくとも1のSNPを用いられる。肌の色特性は、さらに、肌の地色、紫外線曝露部の肌の色、シミ、明るさ及び黄色みに細分化することができる。肌の色特性が肌の地色である場合、以下の:rs3760776、rs2246416、rs2241145、rs10741657、rs6058017、rs2287074、rs74653330、rs1256062、rs17577、rs3865188、rs41281112、及びrs8326からなる群から選ばれる少なくとも1のSNPを用いられる。肌の色特性が肌の紫外線曝露部の肌の色である場合に、以下の:rs2241145、rs6058017、rs1799750、rs1030868、rs2287074、rs2046571、rs2285053、rs10741657、rs2246416、rs1107946、rs7201、及びrs74653330からなる群から選ばれる少なくとも1のSNPを用いられる。肌の色特性が、シミである場合に、以下の:rs1030868、rs12785878、rs1799750、rs2046571、rs2241145、rs3829251、rs8326、rs833061、rs10515552、rs10741657、rs10882272、rs11057830、rs11234027、rs12272004、rs1256062、rs1485766、rs1501299、rs1540771、rs1799724、rs1800629、rs1993116、rs2010963、rs2060793、rs2227564、rs2232228、rs2246416、rs2282679、rs2298585、rs2987983、rs4065、rs4880、rs492602、rs6058017、rs7201、及びrs964184からなる群から選ばれる少なくとも1のSNPを用いられる。肌の色特性が、明るさである場合に、以下の:rs2285053、rs6058017、rs74653330、rs2246416、rs11057830、rs1126643、rs1799724、rs2228479、rs2232228、rs4654748、rs833061、及びrs9340799からなる群から選ばれる少なくとも1のSNPを用いられる。
肌の色特性が、黄色みである場合に、以下の:rs10741657、rs6058017、rs2241145、rs2285053、rs1799750、rs1030868、rs2246416、rs1107946、rs1126643、rs12913832、rs17577、rs3785079、rs492602、rs74653330、rs833061、及びrs9340799からなる群から選ばれる少なくとも1のSNPを用いられる。 If the skin characteristics are skin color characteristics, then:
rs1030868, rs10741657, rs1107946, rs12785878, rs1799750, rs2046571, rs2241145, rs2246416, rs2285053, rs2287074, rs3760776, rs3829251, rs6058017, rs74653330, rs8326, rs833061, rs10515552, rs34027, 129 rs1501299, rs1540771, rs17577, rs1799724, rs1800629, rs1993116, rs2010963, rs2060793, rs2227564, rs2228479, rs2232228, rs2282679, rs2298585, rs2987983, rs3785079, rs3865188, rs4065, rs41281112, rs4654, rs4, 184 At least one SNP selected from the group is used. The color characteristics of the skin can be further subdivided into the background color of the skin, the color of the skin of the UV-exposed part, the stain, the brightness and the yellowness. If the skin color characteristic is the ground color of the skin, at least one SNP selected from the group consisting of: rs3760776, rs2246416, rs2241145, rs10741657, rs6058017, rs2287074, rs74653330, rs1256062, rs17577, rs3865188, rs41281112, and rs8326 Is used. From the group consisting of: rs2241145, rs6058017, rs1799750, rs1030868, rs2287074, rs2046571 At least one SNP selected is used. If the skin color characteristic is a stain, the following: At least one SNP selected from the group consisting of rs1799724, rs1800629, rs1993116, rs2010963, rs2060793, rs2227564, rs2232228, rs2246416, rs2282679, rs2298585, rs2987983, rs4065, rs4880, rs492602, rs6058017, rs7201, and rs964184 is used. When the skin color characteristic is brightness, at least one SNP selected from the group consisting of: rs2285053, rs6058017, rs74653330, rs2246416, rs11057830, rs1126643, rs1799724, rs2228479, rs2232228, rs4654748, rs833061, and rs9340799 Is used.
When the skin color property is yellowish, it consists of the following: rs10741657, rs6058017, rs2241145, rs2285053, rs1799750, rs1030868, rs2246416, rs1107946, rs1126643, rs12913832, rs17577, rs3785079, rs492602, rs74653330, rs833061 and rs9340799 At least one SNP selected from the group is used.
肌の色特性に係るSNPと、SNPが存在する遺伝子との関係は以下の通りである:
The relationship between the SNP relating to the skin color characteristic and the gene in which the SNP exists is as follows:
これらのSNPのうち、上記作用がネガティブ(-)と表示されているSNPは、肌の色特性のそれぞれの測定値が、ヘテロ又はホモで存在する場合に低下する傾向があると決定することができ、その一方で上記作用がポジティブ(+)と表示されているSNPは、色特性のそれぞれの測定値が、ヘテロ又はホモで存在する場合に増加する傾向があると決定することができる。肌の色特性は、それぞれさらに上記の表に従って、シミ(シミ、シミ平均面積)、メラニン量(顔面頬メラニン、上腕内側メラニン)、肌の色(頬の明るさ、頬の黄色)などに細分することができる。シミに関してポジティブと表示されるSNPがヘテロ又はホモで存在する場合、シミができやすく、またその大きさも大きくなる傾向を有する。メラニン量に関してポジティブと表示されるSNPがヘテロ又はホモで存在する場合、メラニン量が多くなる傾向を有する。肌の色に関してポジティブと表示されるSNPがヘテロ又はホモで存在する場合、肌の色が濃くなる傾向を有する。
Among these SNPs, SNPs for which the above action is displayed as negative (-) may be determined to have a tendency to decrease when the measured values of the skin color characteristics exist in heterogeneous or homozygous form. On the other hand, SNPs where the effect is indicated as positive (+) can be determined to tend to increase when the respective measurement of the color characteristic is present in a hetero or homo. The skin color characteristics are further subdivided into spots (spots, spot average area), melanin amount (facial cheek melanin, upper arm melanin), skin color (bright cheek, cheek yellow), etc., according to the above table. can do. When SNPs that are positive for stains are present in heterogeneous or homozygous forms, the stains are likely to occur and the size tends to increase. When SNPs that are displayed as positive with respect to the amount of melanin are present in heterogeneous or homozygous form, the amount of melanin tends to increase. When the SNP that is displayed as positive regarding the skin color is hetero or homo, the skin color tends to be dark.
より具体的に、シミについては、ネガティブ(‐)と表示されたSNPを有する場合、シミが薄くなり、ポジティブ(+)と表示されたSNPを有する場合、シミが濃くなる傾向を有する。シミ平均面積については、ネガティブ(‐)と表示されたSNPを有する場合、シミ平均面積が狭くなり、ポジティブ(+)と表示されたSNPを有する場合、シミ平均面積が広くなる傾向を有する。顔面頬メラニン及び上腕内側メラニンについては、ネガティブ(‐)と表示されたSNPを有する場合、メラニン量が低下し、ポジティブ(+)と表示されたSNPを有する場合、メラニン量が増加する傾向を有する。頬の明るさについては、ネガティブ(‐)と表示されたSNPを有する場合、頬の明るさは暗くなり、ポジティブ(+)と表示されたSNPを有する場合、頬の明るさは明るくなる。頬の黄色については、ネガティブ(‐)と表示されたSNPを有する場合、黄色味が薄くなり、ポジティブ(+)と表示されたSNPを有する場合、黄色味が濃くなる傾向を有する。
More specifically, with respect to a stain, when it has an SNP displayed as negative (-), the stain becomes lighter, and when it has an SNP displayed as positive (+), the stain tends to become darker. As for the average spot area, the average spot area tends to be narrow when the SNP is displayed as negative (-), and the average spot area is widened when the SNP is displayed as positive (+). For facial cheek melanin and inner brachial melanin, the amount of melanin decreases when it has a negative (-) SNP, and the amount of melanin tends to increase when it has a positive (+) SNP . As for cheek brightness, the cheek brightness is dark when the SNP is displayed as negative (-), and the cheek brightness is bright when the SNP is displayed as positive (+). As for the yellow color of the cheek, when it has an SNP displayed as negative (-), the yellowish color tends to be light, and when it has an SNP displayed as positive (+), the yellowish color tends to become darker.
シミとは、主に顔面に生じる色素の沈着をいう。シミの主な原因は、紫外線であり、紫外線によりメラノサイトの活性が高まり、他の部位に比較してメラニン生成量が高まることにより生じる。また、紫外線以外にもストレス、睡眠不足、女性ホルモンの崩れなどもシミの形成に影響する。シミには、炎症性色素沈着、老人性色素斑、肝斑、雀卵斑なども含まれる。シミ平均面積は、シミが生じた場合にその大きさを示す。シミは、視覚的に決定してもよいし、その他任意の方法によりその存在を決定してもよいが、一例として、Visia Evolutionなどの機器を用いてシミのインデックス値を決定することができる。
“Stain” refers to pigmentation mainly occurring on the face. The main cause of the stain is ultraviolet rays, which are caused by the increased activity of melanocytes due to the ultraviolet rays and the increased amount of melanin produced compared to other sites. In addition to ultraviolet rays, stress, lack of sleep, and collapse of female hormones also affect the formation of spots. Spots also include inflammatory pigmentation, senile pigment spots, liver spots, sparrow egg spots, and the like. The average spot area indicates the size of a spot when it occurs. The stain may be determined visually, or its presence may be determined by any other method. As an example, the stain index value can be determined using a device such as Via Evolution.
上腕内側は、紫外線の影響を受けにくい箇所である。したがって上腕内側のメラニン量に関するSNPは、肌の地の色、言い換えれば紫外線の影響がない状態での肌の色についての遺伝的傾向を示す。例えば、遺伝的に上腕内側のメラニン量が多い対象は、肌の地の色が濃い対象であるといえる。その一方で、顔面は、常に紫外線の影響を受けている箇所である。したがって、顔面のメラニン量に関するSNPは、紫外線の影響による黒化のしやすさを示している。
The inner side of the upper arm is not easily affected by ultraviolet rays. Therefore, the SNP relating to the amount of melanin on the inner side of the upper arm shows a genetic tendency for the color of the skin, in other words, the color of the skin without the influence of ultraviolet rays. For example, an object that has a genetically large amount of melanin on the inner side of the upper arm can be said to be an object having a dark skin color. On the other hand, the face is a part that is always affected by ultraviolet rays. Therefore, the SNP related to the amount of melanin on the face indicates the ease of blackening due to the influence of ultraviolet rays.
頬の明るさ及び黄色みは、肌のくすみと関連している。くすみの原因としては、メラニン量、血行、乾燥、老化(糖化やカルボニル化などのタンパク質の変性)が挙げられる。頬の明るさや黄色みは、分光測色計を用いて計測することができる。
頬 The cheek brightness and yellowness are related to the dullness of the skin. Causes of dullness include melanin content, blood circulation, drying, and aging (denaturation of proteins such as glycation and carbonylation). The cheek brightness and yellowness can be measured using a spectrocolorimeter.
肌の色特性決定のためのSNPスコアは、一例として下記の式により表され、かかるSNPスコアに基づき、肌の色特性を決定することができる。
一方で、SNPスコアの決定のために選択されたSNPは、任意に除去されてもよい。
The SNP score for determining the skin color characteristic is represented by the following formula as an example, and the skin color characteristic can be determined based on the SNP score.
On the other hand, the SNP selected for the determination of the SNP score may be arbitrarily removed.
肌特性が肌質である場合、以下の:
rs2987983、rs1050565、rs11057830、rs12931267、rs17822931、rs1800414、rs1800629、rs2285053、rs3760776、rs3829251、rs74653330、rs7501331、rs1030868、rs10515552、rs1061622、rs10882272、rs1107946、rs1126643、rs2241145、rs2282679、rs41281112、rs6058017、rs7201、rs7799039、rs8110862、rs9340799、rs12377462、rs1485766、rs1501299、rs16891982、rs17577、rs1800012、rs2228479、rs3785079、rs1667255、rs2046571、rs2227564、rs2246416、rs4065、rs4880、rs492602、及びrs964184からなる群から選ばれる少なくとも1のSNPを用いられる。肌質は、さらに皮脂量、水分量、及び皮膚バリア機能に細分化することができる。肌質が皮脂量である場合、以下の:rs2987983、rs74653330、rs12931267、rs10882272、rs1667255、rs2046571、rs2227564、rs2246416、rs4065、rs4880、rs492602、rs6058017及びrs964184からなる群から選ばれる少なくとも1のSNPを用いられる。肌質が水分量である場合に、以下の:rs7501331、rs3760776、rs3829251、rs17822931、rs1126643、rs12377462、rs1485766、rs1501299、rs16891982、rs17577、rs1800012、rs2228479、rs2282679、rs3785079、rs7201、及びrs9340799からなる群から選ばれる少なくとも1のSNPを用いられる。肌質が、皮膚バリア機能である場合に、以下の:rs1050565、rs17822931、rs1800414、rs2285053、rs3829251、rs1800629、rs11057830、rs1030868、rs10515552、rs1061622、rs10882272、rs1107946、rs1126643、rs2241145、rs2282679、rs41281112、rs6058017、rs7201、rs74653330、rs7799039、rs8110862、及びrs9340799からなる群から選ばれる少なくとも1のSNPを用いられる。これらのSNPと、SNPが存在する遺伝子との関係は以下の通りである:
肌特性としての肌質は、上記の表に従って、皮脂量、水分量(頬、腕)、皮膚バリア機能(頬、腕)に細分することができる。皮脂量について、皮脂量の測定値が高くなる肌と皮脂量の測定値が少なくなりやすい肌をいう。水分量について、肌質が良いとは、水分量が多いことをいい、肌質が悪いとは水分量が少ないことをいう。皮膚バリア機能について、水分蒸散量を測定しており、その値が高くなりやすい肌質は、皮膚バリア機能が低いことをいい、水分蒸散量が低くなりやすい肌は皮膚バリア機能が高いことをいう。
If the skin property is skin quality, the following:
rs2987983, rs1050565, rs11057830, rs12931267, rs17822931, rs1800414, rs1800629, rs2285053, rs3760776, rs3829251, rs74653330, rs7501331, rs1030868, rs10515552, rs1061622, rs10882272, rs1126610, rs2 147, rs2 At least one SNP selected from the group consisting of rs9340799, rs12377462, rs1485766, rs1501299, rs16891982, rs17577, rs1800012, rs2228479, rs3785079, rs1667255, rs2046571, rs2227564, rs2246416, rs4065, rs4880, rs492602, and rs964184 is used. Skin quality can be further subdivided into sebum amount, moisture content, and skin barrier function. When the skin quality is sebum amount, at least one SNP selected from the group consisting of the following: rs2987983, rs74653330, rs12931267, rs10882272, rs1667255, rs2046571, rs2227564, rs22446416, rs4065, rs4880, rs492602, rs6058017 and rs964184 is used. . When skin quality is moisture content, select from the group consisting of: rs7501331, rs3760776, rs3829251, rs17822931, rs1126643, rs12377462, rs1485766, rs1501299, rs16891982, rs17577, rs1800012, rs2228479, rs2282679, rs3785079, rs7201 and rs9340799 At least one SNP is used. When the skin quality is skin barrier function, rs1050565, rs17822931, rs1800414, rs2285053, rs3829251, rs1800629, rs11057830, rs1030868, rs10515552, rs1061622, rs10882272, rs1107946, rs1126643, rs2281145, rs2282679, rs41281112, rs5801 At least one SNP selected from the group consisting of rs74653330, rs7799039, rs8110862, and rs9340799 is used. The relationship between these SNPs and the gene in which the SNP is present is as follows:
Skin quality as skin characteristics can be subdivided into sebum amount, moisture amount (cheek, arm) and skin barrier function (cheek, arm) according to the above table. Regarding the amount of sebum, it refers to the skin where the measured value of the sebum amount increases and the skin where the measured value of the sebum amount tends to decrease. Regarding the amount of moisture, “good skin quality” means that the amount of moisture is large, and poor skin quality means that the amount of moisture is small. Regarding skin barrier function, the amount of moisture transpiration is measured. Skin quality that tends to be high means that the skin barrier function is low. .
rs2987983、rs1050565、rs11057830、rs12931267、rs17822931、rs1800414、rs1800629、rs2285053、rs3760776、rs3829251、rs74653330、rs7501331、rs1030868、rs10515552、rs1061622、rs10882272、rs1107946、rs1126643、rs2241145、rs2282679、rs41281112、rs6058017、rs7201、rs7799039、rs8110862、rs9340799、rs12377462、rs1485766、rs1501299、rs16891982、rs17577、rs1800012、rs2228479、rs3785079、rs1667255、rs2046571、rs2227564、rs2246416、rs4065、rs4880、rs492602、及びrs964184からなる群から選ばれる少なくとも1のSNPを用いられる。肌質は、さらに皮脂量、水分量、及び皮膚バリア機能に細分化することができる。肌質が皮脂量である場合、以下の:rs2987983、rs74653330、rs12931267、rs10882272、rs1667255、rs2046571、rs2227564、rs2246416、rs4065、rs4880、rs492602、rs6058017及びrs964184からなる群から選ばれる少なくとも1のSNPを用いられる。肌質が水分量である場合に、以下の:rs7501331、rs3760776、rs3829251、rs17822931、rs1126643、rs12377462、rs1485766、rs1501299、rs16891982、rs17577、rs1800012、rs2228479、rs2282679、rs3785079、rs7201、及びrs9340799からなる群から選ばれる少なくとも1のSNPを用いられる。肌質が、皮膚バリア機能である場合に、以下の:rs1050565、rs17822931、rs1800414、rs2285053、rs3829251、rs1800629、rs11057830、rs1030868、rs10515552、rs1061622、rs10882272、rs1107946、rs1126643、rs2241145、rs2282679、rs41281112、rs6058017、rs7201、rs74653330、rs7799039、rs8110862、及びrs9340799からなる群から選ばれる少なくとも1のSNPを用いられる。これらのSNPと、SNPが存在する遺伝子との関係は以下の通りである:
rs2987983, rs1050565, rs11057830, rs12931267, rs17822931, rs1800414, rs1800629, rs2285053, rs3760776, rs3829251, rs74653330, rs7501331, rs1030868, rs10515552, rs1061622, rs10882272, rs1126610, rs2 147, rs2 At least one SNP selected from the group consisting of rs9340799, rs12377462, rs1485766, rs1501299, rs16891982, rs17577, rs1800012, rs2228479, rs3785079, rs1667255, rs2046571, rs2227564, rs2246416, rs4065, rs4880, rs492602, and rs964184 is used. Skin quality can be further subdivided into sebum amount, moisture content, and skin barrier function. When the skin quality is sebum amount, at least one SNP selected from the group consisting of the following: rs2987983, rs74653330, rs12931267, rs10882272, rs1667255, rs2046571, rs2227564, rs22446416, rs4065, rs4880, rs492602, rs6058017 and rs964184 is used. . When skin quality is moisture content, select from the group consisting of: rs7501331, rs3760776, rs3829251, rs17822931, rs1126643, rs12377462, rs1485766, rs1501299, rs16891982, rs17577, rs1800012, rs2228479, rs2282679, rs3785079, rs7201 and rs9340799 At least one SNP is used. When the skin quality is skin barrier function, rs1050565, rs17822931, rs1800414, rs2285053, rs3829251, rs1800629, rs11057830, rs1030868, rs10515552, rs1061622, rs10882272, rs1107946, rs1126643, rs2281145, rs2282679, rs41281112, rs5801 At least one SNP selected from the group consisting of rs74653330, rs7799039, rs8110862, and rs9340799 is used. The relationship between these SNPs and the gene in which the SNP is present is as follows:
皮膚機能決定に関連するSNPスコアは、下記の式により表され、かかるSNPスコアに基づき、皮膚機能を決定することができる。細分化した皮膚機能の各特性は下記のSNPスコアに基づき決定することができる。
一方で、SNPスコアの決定のために選択されたSNPは、任意に除去されてもよい。
The SNP score related to the skin function determination is expressed by the following formula, and the skin function can be determined based on the SNP score. Each characteristic of the subdivided skin function can be determined based on the following SNP score.
On the other hand, the SNP selected for the determination of the SNP score may be arbitrarily removed.
本発明の別の態様では、本発明は肌特性を決定するコンピュータに関する。かかるコンピュータは、上述の肌特性の決定方法を実行することができる。本発明のさらなる方法では、本発明は、本発明の肌特性を決定するコンピュータを制御する方法又は制御するプログラム、並びに当該プログラムを格納する記憶媒体にも関する。本発明のコンピュータは、記憶部、入力部、出力部、及び処理部を含む。
In another aspect of the invention, the invention relates to a computer for determining skin characteristics. Such a computer can execute the above-described skin characteristic determination method. In a further method of the present invention, the present invention also relates to a method or a program for controlling a computer for determining the skin characteristics of the present invention, as well as a storage medium storing said program. The computer of the present invention includes a storage unit, an input unit, an output unit, and a processing unit.
記憶部は、RAM、ROM、フラッシュメモリ等のメモリ装置、ハードディスクドライブ等の固定ディスク装置、又はフレキシブルディスク、光ディスク等の可搬用の記憶装置などを有する。記憶部は、入力部から入力されたデータ及び指示、処理部で行った演算処理結果等の他、コンピュータの各種処理に用いられるプログラム、データベースなどを記憶する。コンピュータプログラムは、例えばCD-ROM、DVD-ROM等のコンピュータ読み取り可能な記録媒体や、インターネットを介してインストールされてもよい。コンピュータプログラムは、公知のセットアッププログラム等を用いて記憶部にインストールされる。本発明において、記憶部は、以下の:
rs1030868、rs1050565、rs10515552、rs10741657、rs11057830、rs1107946、rs1256062、rs12785878、rs12931267、rs1501299、rs17822931、rs1799750、rs1800414、rs1800629、rs2046571、rs2241145、rs2246416、rs2285053、rs2287074、rs2987983、rs3760776、rs3829251、rs6058017、rs74653330、rs7501331、rs8326、rs833061、rs11234027、rs16891982、rs17577、rs1799724、rs1800012、rs2010963、rs2108622、rs2232228、rs3785079、rs7799039、rs10882272、rs1485766、rs1540771、rs7201、rs964184、rs1993116、rs2060793、rs2282679、rs12272004、rs2227564、rs2298585、rs4065、rs4880、rs492602、rs12051272、rs1126643、rs2234693、rs3865188、rs11568737、rs1801133、rs2228479、rs41281112、rs1061622、rs8110862、rs9340799、rs12377462、rs1667255、rs12913832、及びrs4654748からなる群から選ばれる少なくとも1のSNPに関する情報と、当該SNPと関連する肌特性の情報とを記憶する。これらのSNPに関する情報には、さらに、当該SNPと連鎖不平衡にあるSNPの情報を記憶していてもよい。SNPに関する情報には、配列情報が含まれ、SNPと関連する肌特性の情報には、肌特性の種類及び作用、SNPスコア、ホモで存在する場合の乗数が記録される。 The storage unit includes a memory device such as a RAM, a ROM, and a flash memory, a fixed disk device such as a hard disk drive, or a portable storage device such as a flexible disk and an optical disk. The storage unit stores programs and databases used for various processes of the computer, in addition to data and instructions input from the input unit, calculation processing results performed by the processing unit, and the like. The computer program may be installed via a computer-readable recording medium such as a CD-ROM or DVD-ROM, or via the Internet. The computer program is installed in the storage unit using a known setup program or the like. In the present invention, the storage unit is as follows:
rs1030868, rs1050565, rs10515552, rs10741657, rs11057830, rs1107946, rs1256062, rs12785878, rs12931267, rs1501299, rs17822931, rs1799750, rs1800414, rs1800629, rs2046571, rs2241145, rs2246416, rs7983, rs7983, rs798 rs8326, rs833061, rs11234027, rs16891982, rs17577, rs1799724, rs1800012, rs2010963, rs2108622, rs2232228, rs3785079, rs7799039, rs10882272, rs1485766, rs1540771, rs7201, rs964184, rs1993116, rs2060793, rs2282rs, 586 information related to at least one SNP selected from the group consisting of rs492602, rs12051272, rs1126643, rs2234693, rs3865188, rs11568737, rs1801133, rs2228479, rs41281112, rs1061622, rs8110862, rs9340799, rs12377462, rs1667255, rs12913832, and rs4654748 Information on skin properties to be stored. The information on these SNPs may further store information on SNPs in linkage disequilibrium with the SNPs. The information related to the SNP includes sequence information, and the information on the skin characteristics related to the SNP records the type and action of the skin characteristics, the SNP score, and the multiplier in the presence of homo.
rs1030868、rs1050565、rs10515552、rs10741657、rs11057830、rs1107946、rs1256062、rs12785878、rs12931267、rs1501299、rs17822931、rs1799750、rs1800414、rs1800629、rs2046571、rs2241145、rs2246416、rs2285053、rs2287074、rs2987983、rs3760776、rs3829251、rs6058017、rs74653330、rs7501331、rs8326、rs833061、rs11234027、rs16891982、rs17577、rs1799724、rs1800012、rs2010963、rs2108622、rs2232228、rs3785079、rs7799039、rs10882272、rs1485766、rs1540771、rs7201、rs964184、rs1993116、rs2060793、rs2282679、rs12272004、rs2227564、rs2298585、rs4065、rs4880、rs492602、rs12051272、rs1126643、rs2234693、rs3865188、rs11568737、rs1801133、rs2228479、rs41281112、rs1061622、rs8110862、rs9340799、rs12377462、rs1667255、rs12913832、及びrs4654748からなる群から選ばれる少なくとも1のSNPに関する情報と、当該SNPと関連する肌特性の情報とを記憶する。これらのSNPに関する情報には、さらに、当該SNPと連鎖不平衡にあるSNPの情報を記憶していてもよい。SNPに関する情報には、配列情報が含まれ、SNPと関連する肌特性の情報には、肌特性の種類及び作用、SNPスコア、ホモで存在する場合の乗数が記録される。 The storage unit includes a memory device such as a RAM, a ROM, and a flash memory, a fixed disk device such as a hard disk drive, or a portable storage device such as a flexible disk and an optical disk. The storage unit stores programs and databases used for various processes of the computer, in addition to data and instructions input from the input unit, calculation processing results performed by the processing unit, and the like. The computer program may be installed via a computer-readable recording medium such as a CD-ROM or DVD-ROM, or via the Internet. The computer program is installed in the storage unit using a known setup program or the like. In the present invention, the storage unit is as follows:
rs1030868, rs1050565, rs10515552, rs10741657, rs11057830, rs1107946, rs1256062, rs12785878, rs12931267, rs1501299, rs17822931, rs1799750, rs1800414, rs1800629, rs2046571, rs2241145, rs2246416, rs7983, rs7983, rs798 rs8326, rs833061, rs11234027, rs16891982, rs17577, rs1799724, rs1800012, rs2010963, rs2108622, rs2232228, rs3785079, rs7799039, rs10882272, rs1485766, rs1540771, rs7201, rs964184, rs1993116, rs2060793, rs2282rs, 586 information related to at least one SNP selected from the group consisting of rs492602, rs12051272, rs1126643, rs2234693, rs3865188, rs11568737, rs1801133, rs2228479, rs41281112, rs1061622, rs8110862, rs9340799, rs12377462, rs1667255, rs12913832, and rs4654748 Information on skin properties to be stored. The information on these SNPs may further store information on SNPs in linkage disequilibrium with the SNPs. The information related to the SNP includes sequence information, and the information on the skin characteristics related to the SNP records the type and action of the skin characteristics, the SNP score, and the multiplier in the presence of homo.
入力部は、インターフェイスを含む。インターフェイスは、例えば、キーボード、マウス等の操作部、LANやポート等の通信部、CD-ROM、DVD-ROM、BD-ROM、メモリースティックなどの外部記憶装置に接続されていてもよい。SNPに関する情報及び当該SNPと関連する肌特性の情報が入力部から入力されて、記憶部に記憶されてもよい。また、対象の配列情報が、入力部から入力される。入力された配列情報は、いったん記憶部に記憶されてもよいし、そのまま処理部に送られてもよい。対象の配列情報は、対象の全ゲノム配列であってもよいし、目的の一部配列のみであってもよい。操作部を介して、入力部から処理部における処理の指示を与えることができる。
The input part includes an interface. The interface may be connected to an external storage device such as an operation unit such as a keyboard and a mouse, a communication unit such as a LAN and a port, a CD-ROM, a DVD-ROM, a BD-ROM, and a memory stick. Information on the SNP and information on skin characteristics related to the SNP may be input from the input unit and stored in the storage unit. In addition, target sequence information is input from the input unit. The input sequence information may be once stored in the storage unit or may be sent to the processing unit as it is. The target sequence information may be the entire genome sequence of the target, or only the target partial sequence. Processing instructions in the processing unit can be given from the input unit via the operation unit.
処理部は、対象の配列情報中におけるSNPの存在を検出する。より具体的に、処理部は、記憶部に記憶されたSNPの配列情報と、入力部から入力された対象の配列情報とから、対象の配列情報中におけるSNPの存在を検出することができる。記憶部に記憶されたSNPの配列情報と、入力部から入力された対象の配列情報との比較、又は入力部から入力された対象の配列情報中での記憶部に記憶されたSNPの配列情報を検索することにより、SNPの存在を検出することができる。処理部は、記憶部に記憶しているプログラムに従って各種の演算処理を実行する。演算処理は処理部に含まれるCPUによりおこなわれる。このCPUは、入力部、記憶部、及び出力部を制御する機能モジュールを含み、各種の制御を行うことができる。これらの各部は、それぞれ独立した集積回路、マイクロプロセッサ、ファームウェアなどで構成されてもよい。処理部により検出されたSNPの存在についての情報は、一旦、記憶部に記憶されてもよいし、そのまま処理部が、記憶部から当該SNPの存在に基づき、当該SNPと関連する肌特性の情報を記憶部から読み出すこともできる。また、複数のSNPが存在する場合に、SNP情報に基づきSNPスコアを算出することもできる。次に処理部は、読み出された肌特性の情報を出力部から出力するように処理する。
The processing unit detects the presence of the SNP in the target sequence information. More specifically, the processing unit can detect the presence of the SNP in the target sequence information from the sequence information of the SNP stored in the storage unit and the target sequence information input from the input unit. Comparison of SNP sequence information stored in the storage unit with target sequence information input from the input unit, or SNP sequence information stored in the storage unit in the target sequence information input from the input unit The presence of SNP can be detected by searching for. The processing unit executes various arithmetic processes according to programs stored in the storage unit. The arithmetic processing is performed by a CPU included in the processing unit. The CPU includes a functional module that controls the input unit, the storage unit, and the output unit, and can perform various controls. Each of these units may be configured by an independent integrated circuit, a microprocessor, firmware, and the like. Information on the presence of the SNP detected by the processing unit may be temporarily stored in the storage unit, or the processing unit directly receives information on skin characteristics related to the SNP from the storage unit based on the presence of the SNP. Can also be read from the storage unit. In addition, when there are a plurality of SNPs, an SNP score can be calculated based on the SNP information. Next, the processing unit performs processing so as to output the read skin characteristic information from the output unit.
出力部は、データ処理部で演算処理を行って検出されたSNPについて、記憶部に記憶された肌特性情報及び/又はSNPスコアを出力するように構成さる。出力部は、演算処理の結果を直接表示する液晶ディスプレイ等の表示装置、プリンタ等の出力手段であってもよいし、外部記憶装置への出力又はネットワークを介して出力するためのインターフェイス部であってもよい。
The output unit is configured to output the skin characteristic information and / or the SNP score stored in the storage unit for the SNP detected by performing the calculation process in the data processing unit. The output unit may be a display device such as a liquid crystal display that directly displays the result of the arithmetic processing, an output unit such as a printer, or an interface unit for outputting to an external storage device or via a network. May be.
本発明の好ましい態様では、本発明のコンピュータは、サーバーを構成し、入力部及び出力部は、それぞれインターフェイス部を介して、ネットワークに接続される。この場合、ネットワークに接続された個別の端末から、ゲノム情報やゲノムの一部の配列情報を提供することができ、提供された配列情報がサーバーにおいて処理された、SNPの存在を検出し、肌特性を決定し、決定された肌特性を端末に出力することができる。
In a preferred aspect of the present invention, the computer of the present invention constitutes a server, and the input unit and the output unit are each connected to a network via an interface unit. In this case, genome information and partial sequence information of the genome can be provided from an individual terminal connected to the network, and the presence of the SNP in which the provided sequence information has been processed in the server is detected, and the skin The characteristic can be determined and the determined skin characteristic can be output to the terminal.
単一のSNPを検出することで、肌特性を決定することもできるが、より優れた感度を達成する観点では、複数のSNPを検出して、肌特性を決定することが好ましい。複数のSNPの検出に基づき、肌特性を決定するためには、一例として、そのSNPが、当該肌特性にポジティブ又はネガティブの作用を与えるかを明らかにし、その存在に応じてポイントを付することで、SNPスコアを算出することにより行われる。SNPスコアと肌特性との関連を予め決定しておくことで、SNPスコアから、肌特性を決定することができる。
It is also possible to determine the skin characteristics by detecting a single SNP, but it is preferable to determine the skin characteristics by detecting a plurality of SNPs from the viewpoint of achieving higher sensitivity. In order to determine the skin characteristics based on the detection of a plurality of SNPs, as an example, it is clarified whether the SNP has a positive or negative effect on the skin characteristics, and points are given according to the presence. This is done by calculating the SNP score. By determining in advance the relationship between the SNP score and the skin characteristic, the skin characteristic can be determined from the SNP score.
実施例では、200名のボランティアから得られたSNP情報及び肌特性との関係に基づき、SNPスコアと、肌特性との関係が示される(図3~16)。これらのSNPスコアは、母集団や選択するSNPに応じて変化する。限定されることを意図していないが、例えばシワについては、SNPスコアが2以上、より好ましくは3以上において、加齢によりシワが生じやすいと判断することができる。例えば、シミについて、SNPスコアが 2以上、より好ましくは4以上において、加齢によりシミが生じやすいと判断することができる。例えば、キメについて、SNPスコアが2以上、より好ましくは3以上において、加齢によりキメが悪くなりやすいと判断することができる。
In the example, the relationship between the SNP score and the skin characteristics is shown based on the relationship between the SNP information and the skin characteristics obtained from 200 volunteers (FIGS. 3 to 16). These SNP scores vary depending on the population and the SNP to be selected. Although not intended to be limited, for example, for wrinkles, it can be determined that wrinkles are likely to occur due to aging when the SNP score is 2 or more, more preferably 3 or more. For example, it can be determined that a stain is likely to occur due to aging when the SNP score is 2 or more, more preferably 4 or more. For example, regarding texture, when the SNP score is 2 or more, more preferably 3 or more, it can be determined that the texture is likely to deteriorate due to aging.
本発明の肌特性決定方法により肌特性が決定された場合、このような肌特性についての情報に基づき、カウンセリングを行うことができる。したがって、本発明の一態様は、カウンセリング方法にも関する。こうしたカウンセリングにおいて、生活習慣や使用する化粧料やサプリメントの選択についてアドバイスを提供することができる。一例として、肌の色特性のうち、上腕のメラニン量は、そのヒトのもつ本来の肌の地色と関係があり、顔面のメラニン量は紫外線により影響された肌の色と関係がある。したがって、SNP解析により、上腕のメラニン量が低くなりやすい一方で、顔面のメラニン量が増えていた対象は、色白である一方で、紫外線の影響を受けやすいため、紫外線に対するケアをより必要とする対象であると決定できる。そのような対象には、紫外線を避ける生活習慣を提案するとともに、より強い紫外線保護剤のはいった化粧料を使用することを提案することができる。
When the skin property is determined by the skin property determination method of the present invention, counseling can be performed based on information on such skin property. Accordingly, one aspect of the present invention also relates to a counseling method. In such counseling, advice on lifestyle choices and selection of cosmetics and supplements to be used can be provided. As an example, among the skin color characteristics, the amount of melanin in the upper arm is related to the natural color of the skin of the human, and the amount of melanin on the face is related to the color of the skin affected by ultraviolet rays. Therefore, by SNP analysis, the amount of melanin in the upper arm is likely to be low, while the subject whose facial melanin amount is increased is fair, while being easily affected by ultraviolet rays, it needs more care for ultraviolet rays. Can be determined to be a subject. For such subjects, it is possible to propose a lifestyle that avoids ultraviolet rays and to use cosmetics with stronger ultraviolet protective agents.
シワが生じやすいと判定された場合には、コラーゲン、エラスチンなどの膠原繊維や弾性線維の産生を増強可能であるか及び/又はマトリクスメタロプロテイナーゼ阻害剤など、弾性線維の分解を抑制可能である成分を含む化粧料やサプリメントを提供することができる。そのような成分として、細胞外マトリクス分解阻害剤、例えばマトリックスメタロプロテイナーゼ阻害剤、更に限定するとコラゲナーゼ阻害剤などが挙げられる。具体的な成分としてレチノール、シカクマメエキス、マンゴスチンエキスなどが挙げられる(化粧品の有用性 評価技術の進歩と将来展望、薬事日報社、(2001)第7節、しわ対応化粧品、162~177頁)。
Ingredients that can enhance the production of collagen fibers and elastic fibers such as collagen and elastin and / or suppress the degradation of elastic fibers such as matrix metalloproteinase inhibitors when it is determined that wrinkles are likely to occur Cosmetics and supplements can be provided. Such components include extracellular matrix degradation inhibitors, such as matrix metalloproteinase inhibitors, and more specifically collagenase inhibitors. Specific components include retinol, winged bean extract, mangosteen extract (usefulness of cosmetics, progress and future prospects of evaluation technology, Yakuji Nippo, (2001) Section 7, wrinkle-compatible cosmetics, pages 162-177).
シミなどの肌の色特性に関するトラブルが生じやすいと判定された場合には、UVカット作用、メラニン生成抑制作用、及び/又は角質のターンオーバーの促進作用を有する成分を含む化粧料やサプリメントを提供することができる。そのような成分として、例えばUV保護剤、ビタミンC誘導体、ハイドロキノン、トラネキサム酸、4-メトキシサリチル酸カリウム塩、アルブチン、コウジ酸、ルシノール、ビタミンC誘導体などが挙げられる(化粧品の有用性 評価技術の進歩と将来展望、薬事日報社、(2001)、第6節、美白化粧品、144~161頁)。また、適切な化粧下地、化粧料の提案や、メークアップ方法の提案をすることもできる。
Provide cosmetics and supplements that contain ingredients that have UV-cutting action, melanin production-inhibiting action, and / or keratin turnover-promoting action when it is determined that skin color problems such as spots are likely to occur. can do. Examples of such components include UV protection agents, vitamin C derivatives, hydroquinone, tranexamic acid, 4-methoxysalicylic acid potassium salt, arbutin, kojic acid, lucinol, vitamin C derivatives, etc. And future prospects, Yakuji Nipposha, (2001), Section 6, Whitening Cosmetics, pages 144-161). It is also possible to propose appropriate makeup bases and cosmetics, and make-up methods.
キメ、はり、皮脂、水分量、皮膚バリア機能などの皮膚機能が劣っていると判定された場合には、皮膚機能を高めることができる成分を含む化粧料やサプリメントを提供することができる。キメやはりの改善剤、皮脂低下剤、水分量増加促進剤、皮膚バリア機能改善剤などはそれぞれ知られている。そのような成分として、例えば保湿剤、トラネキサム酸、シカクマメエキスなどが挙げられる。
When it is determined that the skin functions such as texture, beam, sebum, moisture content, and skin barrier function are inferior, cosmetics and supplements containing components that can enhance the skin function can be provided. The same improvement agent, sebum lowering agent, water content increase promoter, skin barrier function improving agent and the like are known. Examples of such components include humectants, tranexamic acid, winged bean extract and the like.
本発明の別の態様では、肌特性の決定のためのキットにも関する。当該キットは、以下の:
rs1030868、rs1050565、rs10515552、rs10741657、rs11057830、rs1107946、rs1256062、rs12785878、rs12931267、rs1501299、rs17822931、rs1799750、rs1800414、rs1800629、rs2046571、rs2241145、rs2246416、rs2285053、rs2287074、rs2987983、rs3760776、rs3829251、rs6058017、rs74653330、rs7501331、rs8326、rs833061、rs11234027、rs16891982、rs17577、rs1799724、rs1800012、rs2010963、rs2108622、rs2232228、rs3785079、rs7799039、rs10882272、rs1485766、rs1540771、rs7201、rs964184、rs1993116、rs2060793、rs2282679、rs12272004、rs2227564、rs2298585、rs4065、rs4880、rs492602、rs12051272、rs1126643、rs2234693、rs3865188、rs11568737、rs1801133、rs2228479、rs41281112、rs1061622、rs8110862、rs9340799、rs12377462、rs1667255、rs12913832、及びrs4654748からなる群から選ばれる少なくとも1のSNP、またはその連鎖不平衡にあるSNPを検出するための核酸試薬を含む。かかるキットは、さらに核酸抽出試薬及び精製試薬を含んでもよい。また、検出されたSNPと肌状態との関係を説明する使用説明書を含んでもよい。 Another aspect of the invention also relates to a kit for the determination of skin properties. The kit includes the following:
rs1030868, rs1050565, rs10515552, rs10741657, rs11057830, rs1107946, rs1256062, rs12785878, rs12931267, rs1501299, rs17822931, rs1799750, rs1800414, rs1800629, rs2046571, rs2241145, rs2246416, rs7983, rs7983, rs798 rs8326, rs833061, rs11234027, rs16891982, rs17577, rs1799724, rs1800012, rs2010963, rs2108622, rs2232228, rs3785079, rs7799039, rs10882272, rs1485766, rs1540771, rs7201, rs964184, rs1993116, rs2060793, rs2282rs, 586 At least one SNP selected from the group consisting of rs492602, rs12051272, rs1126643, rs2234693, rs3865188, rs11568737, rs1801133, rs2228479, rs41281112, rs1061622, rs8110862, rs9340799, rs12377462, rs1667255, rs12913832, and rs4654748, or their linkage disequilibrium Contains a nucleic acid reagent for detecting SNPs. Such a kit may further contain a nucleic acid extraction reagent and a purification reagent. Moreover, you may include the instruction manual explaining the relationship between the detected SNP and the skin condition.
rs1030868、rs1050565、rs10515552、rs10741657、rs11057830、rs1107946、rs1256062、rs12785878、rs12931267、rs1501299、rs17822931、rs1799750、rs1800414、rs1800629、rs2046571、rs2241145、rs2246416、rs2285053、rs2287074、rs2987983、rs3760776、rs3829251、rs6058017、rs74653330、rs7501331、rs8326、rs833061、rs11234027、rs16891982、rs17577、rs1799724、rs1800012、rs2010963、rs2108622、rs2232228、rs3785079、rs7799039、rs10882272、rs1485766、rs1540771、rs7201、rs964184、rs1993116、rs2060793、rs2282679、rs12272004、rs2227564、rs2298585、rs4065、rs4880、rs492602、rs12051272、rs1126643、rs2234693、rs3865188、rs11568737、rs1801133、rs2228479、rs41281112、rs1061622、rs8110862、rs9340799、rs12377462、rs1667255、rs12913832、及びrs4654748からなる群から選ばれる少なくとも1のSNP、またはその連鎖不平衡にあるSNPを検出するための核酸試薬を含む。かかるキットは、さらに核酸抽出試薬及び精製試薬を含んでもよい。また、検出されたSNPと肌状態との関係を説明する使用説明書を含んでもよい。 Another aspect of the invention also relates to a kit for the determination of skin properties. The kit includes the following:
rs1030868, rs1050565, rs10515552, rs10741657, rs11057830, rs1107946, rs1256062, rs12785878, rs12931267, rs1501299, rs17822931, rs1799750, rs1800414, rs1800629, rs2046571, rs2241145, rs2246416, rs7983, rs7983, rs798 rs8326, rs833061, rs11234027, rs16891982, rs17577, rs1799724, rs1800012, rs2010963, rs2108622, rs2232228, rs3785079, rs7799039, rs10882272, rs1485766, rs1540771, rs7201, rs964184, rs1993116, rs2060793, rs2282rs, 586 At least one SNP selected from the group consisting of rs492602, rs12051272, rs1126643, rs2234693, rs3865188, rs11568737, rs1801133, rs2228479, rs41281112, rs1061622, rs8110862, rs9340799, rs12377462, rs1667255, rs12913832, and rs4654748, or their linkage disequilibrium Contains a nucleic acid reagent for detecting SNPs. Such a kit may further contain a nucleic acid extraction reagent and a purification reagent. Moreover, you may include the instruction manual explaining the relationship between the detected SNP and the skin condition.
このような核酸試薬として、一例としては、SNPを選択的に増幅可能なプライマー、DNAポリメラーゼ、dNTP、そして場合により増幅緩衝液を含む。SNPを増幅可能なプライマーは、各SNPに対して、任意に設計することができる。
Examples of such a nucleic acid reagent include a primer capable of selectively amplifying SNP, DNA polymerase, dNTP, and optionally an amplification buffer. Primers capable of amplifying SNPs can be arbitrarily designed for each SNP.
核酸試薬として、核酸プローブを使用する場合、前記キットがさらに、プローブ検出試薬を含んでもよい。かかる核酸プローブは、未固定のプローブを用いてもよいし、DNAチップ上に固定されたものを用いて、複数のSNPを同時に検出することができる。このような核酸プローブは、特定のSNPを検出可能なように標識されていてもよい。
When a nucleic acid probe is used as the nucleic acid reagent, the kit may further contain a probe detection reagent. As such a nucleic acid probe, an unfixed probe may be used, or a plurality of SNPs can be detected simultaneously using a probe immobilized on a DNA chip. Such a nucleic acid probe may be labeled so that a specific SNP can be detected.
本明細書において言及される全ての文献はその全体が引用により本明細書に取り込まれる。
All documents mentioned in this specification are incorporated herein by reference in their entirety.
以下に説明する本発明の実施例は例示のみを目的とし、本発明の技術的範囲を限定するものではない。本発明の技術的範囲は特許請求の範囲の記載によってのみ限定される。本発明の趣旨を逸脱しないことを条件として、本発明の変更、例えば、本発明の構成要件の追加、削除及び置換を行うことができる。
The embodiments of the present invention described below are for illustrative purposes only and are not intended to limit the technical scope of the present invention. The technical scope of the present invention is limited only by the appended claims. Modifications of the present invention, for example, addition, deletion, and replacement of the configuration requirements of the present invention can be made on the condition that the gist of the present invention is not deviated.
肌特性値の測定
肌特性値として、35~59 歳の女性ボランティア200 名を対象として、肌のシワ状態、シミ状態、肌色(顔面メラニン量、地肌(上腕内側)メラニン量、明るさ、黄身)、肌状態(水分量、バリア機能、皮脂量、はり、きめ状態)を計測した。それぞれの測定は、シワ状態とシミ状態はVisia Evolution(Canfield Scientific社製)を用いて、撮影画像から専用の解析法にてシワ、シミのインデックス値を算出し、解析に用いた。肌色は、分光測色計CM-700d(コニカミノルタ社)を用いて解析し、顔面頬のメラニン量、明るさ(L*・測色値)、黄色(b*・測色値)を計測した。また、日光に曝露されない部位である上腕内側の肌色も測定し、メラニン量を算出した。肌状態は、専用の市販機器を用いて、角層水分量(Corneometer)、経皮水分蒸散量(バリア機能)(Vapometer)、皮脂量(Sebumeter)、はり(Cutometer)を測定し、キメ状態はオリジナル計測機器であるSkinvisiom IIを用い、専用の解析ソフトを用いて、キメの乱れぐらいを計測した。 Skin characteristic value measurement Skin characteristic value for 200 female volunteers aged 35 to 59 years old, wrinkle condition, stain condition, skin color (face melanin amount, background melanin amount, brightness, yolk) The skin condition (moisture content, barrier function, sebum content, agitation, texture state) was measured. In each measurement, the wrinkle state and the stain state were calculated by using a dedicated analysis method from the photographed image using Visia Evolution (manufactured by Canfield Scientific), and used for the analysis. The skin color was analyzed using a spectrophotometer CM-700d (Konica Minolta), and the amount of melanin, brightness (L * / colorimetric value), and yellow (b * / colorimetric value) of the facial cheek were measured. . In addition, the skin color inside the upper arm, which is a part not exposed to sunlight, was also measured, and the amount of melanin was calculated. The skin condition is measured using a dedicated commercial device to measure the stratum corneum moisture (Corneometer), transdermal moisture transpiration (barrier function) (Vapometer), sebum (Sebumeter), and beam (Cutometer). Using the original measuring instrument Skinvisiom II, special analysis software was used to measure the texture disturbance.
肌特性値として、35~59 歳の女性ボランティア200 名を対象として、肌のシワ状態、シミ状態、肌色(顔面メラニン量、地肌(上腕内側)メラニン量、明るさ、黄身)、肌状態(水分量、バリア機能、皮脂量、はり、きめ状態)を計測した。それぞれの測定は、シワ状態とシミ状態はVisia Evolution(Canfield Scientific社製)を用いて、撮影画像から専用の解析法にてシワ、シミのインデックス値を算出し、解析に用いた。肌色は、分光測色計CM-700d(コニカミノルタ社)を用いて解析し、顔面頬のメラニン量、明るさ(L*・測色値)、黄色(b*・測色値)を計測した。また、日光に曝露されない部位である上腕内側の肌色も測定し、メラニン量を算出した。肌状態は、専用の市販機器を用いて、角層水分量(Corneometer)、経皮水分蒸散量(バリア機能)(Vapometer)、皮脂量(Sebumeter)、はり(Cutometer)を測定し、キメ状態はオリジナル計測機器であるSkinvisiom IIを用い、専用の解析ソフトを用いて、キメの乱れぐらいを計測した。 Skin characteristic value measurement Skin characteristic value for 200 female volunteers aged 35 to 59 years old, wrinkle condition, stain condition, skin color (face melanin amount, background melanin amount, brightness, yolk) The skin condition (moisture content, barrier function, sebum content, agitation, texture state) was measured. In each measurement, the wrinkle state and the stain state were calculated by using a dedicated analysis method from the photographed image using Visia Evolution (manufactured by Canfield Scientific), and used for the analysis. The skin color was analyzed using a spectrophotometer CM-700d (Konica Minolta), and the amount of melanin, brightness (L * / colorimetric value), and yellow (b * / colorimetric value) of the facial cheek were measured. . In addition, the skin color inside the upper arm, which is a part not exposed to sunlight, was also measured, and the amount of melanin was calculated. The skin condition is measured using a dedicated commercial device to measure the stratum corneum moisture (Corneometer), transdermal moisture transpiration (barrier function) (Vapometer), sebum (Sebumeter), and beam (Cutometer). Using the original measuring instrument Skinvisiom II, special analysis software was used to measure the texture disturbance.
遺伝子解析(SNPジェノタイピング)
遺伝子解析検体として唾液を用いた。唾液はOragene(登録商標)DNA OG-500(DNA Genotek Inc.)を用いて採取し、DNAを安定化させた。唾液よりDNAを精製し、DNAアレイを用い、SNPジェノタイピングを実施し、予め選択したSNPの情報を取得した。解析対象とするSNPは過去の皮膚科学知見から肌特性値への影響が期待されるものを選択した。 Genetic analysis (SNP genotyping)
Saliva was used as a genetic analysis sample. Saliva was collected using Oragene (registered trademark) DNA OG-500 (DNA Genotek Inc.) to stabilize the DNA. DNA was purified from saliva, SNP genotyping was performed using a DNA array, and information on preselected SNPs was obtained. The SNP to be analyzed was selected from those that are expected to affect the skin characteristic value from past dermatological knowledge.
遺伝子解析検体として唾液を用いた。唾液はOragene(登録商標)DNA OG-500(DNA Genotek Inc.)を用いて採取し、DNAを安定化させた。唾液よりDNAを精製し、DNAアレイを用い、SNPジェノタイピングを実施し、予め選択したSNPの情報を取得した。解析対象とするSNPは過去の皮膚科学知見から肌特性値への影響が期待されるものを選択した。 Genetic analysis (SNP genotyping)
Saliva was used as a genetic analysis sample. Saliva was collected using Oragene (registered trademark) DNA OG-500 (DNA Genotek Inc.) to stabilize the DNA. DNA was purified from saliva, SNP genotyping was performed using a DNA array, and information on preselected SNPs was obtained. The SNP to be analyzed was selected from those that are expected to affect the skin characteristic value from past dermatological knowledge.
統計処理の方法
肌特性値とSNP遺伝子型との間の関連性は、多重比較、重回帰分析、オッズ比の統計解析、最適な回帰モデルで予測区間を設定したケース、及びコントロール解析を実施することにより決定した。さらに、肌特性に関連する複数のSNP遺伝子間の関連性を共分散構造分析(SEM)と決定木分析を実施して評価し、SNP遺伝子の肌特性値への影響を指標化することを試みた。 Statistical processing method The relationship between skin characteristic values and SNP genotypes is implemented by multiple comparisons, multiple regression analysis, statistical analysis of odds ratios, cases in which prediction intervals are set with optimal regression models, and control analysis Was determined. Furthermore, the association between multiple SNP genes related to skin characteristics is evaluated by conducting covariance structure analysis (SEM) and decision tree analysis, and attempts are made to index the influence of SNP genes on skin characteristic values. It was.
肌特性値とSNP遺伝子型との間の関連性は、多重比較、重回帰分析、オッズ比の統計解析、最適な回帰モデルで予測区間を設定したケース、及びコントロール解析を実施することにより決定した。さらに、肌特性に関連する複数のSNP遺伝子間の関連性を共分散構造分析(SEM)と決定木分析を実施して評価し、SNP遺伝子の肌特性値への影響を指標化することを試みた。 Statistical processing method The relationship between skin characteristic values and SNP genotypes is implemented by multiple comparisons, multiple regression analysis, statistical analysis of odds ratios, cases in which prediction intervals are set with optimal regression models, and control analysis Was determined. Furthermore, the association between multiple SNP genes related to skin characteristics is evaluated by conducting covariance structure analysis (SEM) and decision tree analysis, and attempts are made to index the influence of SNP genes on skin characteristic values. It was.
多重比較解析
肌特性値と遺伝子SNPのペアに関して、肌特性値の分布がどの遺伝子型SNPで異なっているのかを分析し、量的データについては、Tukey multiple comparisonsで多重比較の検定を行った。質的データについては、カイ2乗検定とフィッシャーの正確確率検定を適用した。多重比較解析で選択されたSNPを下記表4に示す。
Multiple Comparison Analysis Regarding the pair of skin characteristic value and gene SNP, the distribution of the skin characteristic value was analyzed for which genotype SNP was different, and for quantitative data, multiple comparison tests were performed using Tukey multiple comparisons. For qualitative data, Chi-square test and Fisher's exact test were applied. The SNPs selected by the multiple comparison analysis are shown in Table 4 below.
肌特性値と遺伝子SNPのペアに関して、肌特性値の分布がどの遺伝子型SNPで異なっているのかを分析し、量的データについては、Tukey multiple comparisonsで多重比較の検定を行った。質的データについては、カイ2乗検定とフィッシャーの正確確率検定を適用した。多重比較解析で選択されたSNPを下記表4に示す。
重回帰分析
単回帰分析の結果、多くの特性値が年齢と相関を持っていることが示された(データ未掲載)。そこで、加齢効果と遺伝効果を分離するため、遺伝要因と年齢(数値)を変数とする重回帰分析を実施した。遺伝要因の係数が有意となった関係について、標準偏回帰係数とp-valueを算出した。標準偏回帰係数の符号がプラスのSNPは変異があると肌特性値が増加、マイナスの場合は変異によって肌特性値が減少することを表している。重回帰分析で選択されたSNPを下記の表5に示した。 Multiple regression analysis As a result of single regression analysis, it was shown that many characteristic values are correlated with age (data not shown). Therefore, in order to separate the aging effect and the genetic effect, a multiple regression analysis using genetic factors and age (numerical values) as variables was performed. Standard partial regression coefficients and p-values were calculated for relationships in which genetic factors were significant. An SNP with a positive sign of the standard partial regression coefficient increases the skin characteristic value if there is a variation, and a negative value indicates that the skin characteristic value decreases due to the variation. The SNPs selected by the multiple regression analysis are shown in Table 5 below.
単回帰分析の結果、多くの特性値が年齢と相関を持っていることが示された(データ未掲載)。そこで、加齢効果と遺伝効果を分離するため、遺伝要因と年齢(数値)を変数とする重回帰分析を実施した。遺伝要因の係数が有意となった関係について、標準偏回帰係数とp-valueを算出した。標準偏回帰係数の符号がプラスのSNPは変異があると肌特性値が増加、マイナスの場合は変異によって肌特性値が減少することを表している。重回帰分析で選択されたSNPを下記の表5に示した。 Multiple regression analysis As a result of single regression analysis, it was shown that many characteristic values are correlated with age (data not shown). Therefore, in order to separate the aging effect and the genetic effect, a multiple regression analysis using genetic factors and age (numerical values) as variables was performed. Standard partial regression coefficients and p-values were calculated for relationships in which genetic factors were significant. An SNP with a positive sign of the standard partial regression coefficient increases the skin characteristic value if there is a variation, and a negative value indicates that the skin characteristic value decreases due to the variation. The SNPs selected by the multiple regression analysis are shown in Table 5 below.
オッズ比
閾値を設定し肌特性データを2群に分けSNP遺伝子型と組み合わせて分割表を作成した。肌特性値は年齢に伴い変化するので、閾値も年齢にともなって変化した。ここでは、一定の年齢幅における肌特性値の順位上位1/4を高位グループ、下位1/4を低位グループとして、この2群間の比較を行った。対照群とリスク群の選択基準は、肌特性値が加齢により増加する場合は、増加群をリスク群とし、逆に、減少する場合は、減少群をリスク群と設定して解析を行った。各SNPについて2つの遺伝子型のサンプルを選択し、対照群とリスク群との2×2の分割表を作成し統計的検定を実施した。対照群、リスク群の選択での「同年代」とは、自分の年齢±5歳とした。ワイルド型とヘテロ型あるいはホモ型のオッズ比のうち、フィッシャー正確確率検定で有意となった肌特性値とSNPの組合せを下記表6に示した。 An odds ratio threshold was set, and skin property data was divided into two groups and combined with SNP genotypes to create a contingency table. Since the skin characteristic value changes with age, the threshold value also changes with age. Here, a comparison was made between these two groups, with the upper 1/4 of the skin characteristic values in a certain age range as the higher group and the lower 1/4 as the lower group. The selection criteria for the control group and the risk group were analyzed by setting the increase group as the risk group when the skin characteristic value increased with aging, and conversely, when decreasing, the decrease group was set as the risk group. . Two genotype samples were selected for each SNP, a 2 × 2 contingency table for the control group and the risk group was created and statistical tests were performed. The “same age” in the selection of the control group and the risk group was my age ± 5 years old. Table 6 below shows combinations of skin characteristic values and SNPs that are significant by the Fisher exact test, among odds ratios of wild type, hetero type, and homo type.
閾値を設定し肌特性データを2群に分けSNP遺伝子型と組み合わせて分割表を作成した。肌特性値は年齢に伴い変化するので、閾値も年齢にともなって変化した。ここでは、一定の年齢幅における肌特性値の順位上位1/4を高位グループ、下位1/4を低位グループとして、この2群間の比較を行った。対照群とリスク群の選択基準は、肌特性値が加齢により増加する場合は、増加群をリスク群とし、逆に、減少する場合は、減少群をリスク群と設定して解析を行った。各SNPについて2つの遺伝子型のサンプルを選択し、対照群とリスク群との2×2の分割表を作成し統計的検定を実施した。対照群、リスク群の選択での「同年代」とは、自分の年齢±5歳とした。ワイルド型とヘテロ型あるいはホモ型のオッズ比のうち、フィッシャー正確確率検定で有意となった肌特性値とSNPの組合せを下記表6に示した。 An odds ratio threshold was set, and skin property data was divided into two groups and combined with SNP genotypes to create a contingency table. Since the skin characteristic value changes with age, the threshold value also changes with age. Here, a comparison was made between these two groups, with the upper 1/4 of the skin characteristic values in a certain age range as the higher group and the lower 1/4 as the lower group. The selection criteria for the control group and the risk group were analyzed by setting the increase group as the risk group when the skin characteristic value increased with aging, and conversely, when decreasing, the decrease group was set as the risk group. . Two genotype samples were selected for each SNP, a 2 × 2 contingency table for the control group and the risk group was created and statistical tests were performed. The “same age” in the selection of the control group and the risk group was my age ± 5 years old. Table 6 below shows combinations of skin characteristic values and SNPs that are significant by the Fisher exact test, among odds ratios of wild type, hetero type, and homo type.
共分散構造解析(SEM)解析
SEM解析は、連続変数間の関係をモデリングする手法であり、重回帰分析と因子分析を統合したモデル解析である。カテゴリカル変数は、ダミー変数に置き換えれば適用できる。モデル変数は、観測変数と潜在変数(構成概念)とし、肌特性値データ、年齢、SNP多型データが観測変数とし、SNP多型データはWild→0, Hetero→1, Homo→2で置き換え1つのダミー変数で扱った。SEMのモデル記法は、柔軟なモデル記述が可能なlavaanの記法を使用した。 Covariance structure analysis (SEM) analysis SEM analysis is a technique for modeling the relationship between continuous variables, and is a model analysis that integrates multiple regression analysis and factor analysis. Categorical variables can be applied by replacing them with dummy variables. Model variables are observation variables and latent variables (construction concept), skin characteristic value data, age, and SNP polymorphism data are observation variables. SNP polymorphism data is replaced with Wild → 0, Hetero → 1, Homo → 2. Handled by two dummy variables. The SEM model notation uses the lavaan notation that allows flexible model description.
SEM解析は、連続変数間の関係をモデリングする手法であり、重回帰分析と因子分析を統合したモデル解析である。カテゴリカル変数は、ダミー変数に置き換えれば適用できる。モデル変数は、観測変数と潜在変数(構成概念)とし、肌特性値データ、年齢、SNP多型データが観測変数とし、SNP多型データはWild→0, Hetero→1, Homo→2で置き換え1つのダミー変数で扱った。SEMのモデル記法は、柔軟なモデル記述が可能なlavaanの記法を使用した。 Covariance structure analysis (SEM) analysis SEM analysis is a technique for modeling the relationship between continuous variables, and is a model analysis that integrates multiple regression analysis and factor analysis. Categorical variables can be applied by replacing them with dummy variables. Model variables are observation variables and latent variables (construction concept), skin characteristic value data, age, and SNP polymorphism data are observation variables. SNP polymorphism data is replaced with Wild → 0, Hetero → 1, Homo → 2. Handled by two dummy variables. The SEM model notation uses the lavaan notation that allows flexible model description.
解析の手順
(1)モデルを定義する。
(2)サンプルデータの分散構造を最大限説明するようにモデルパラメータ(母数)を推定する。
(3)モデルの適合度指標(サンプルデータの分散構造をどの程度説明できたかを示す指標)を確認する。
(4)モデルパラメータの大きさと信頼性(p値)を確認する。
(5)適合度、パラメータが良ければ解析終了。
(6)適合度が良いが、信頼性の低いモデル変数がある場合は、それを除外したモデルで(1)~(4)の解析を行い比較した。
適合度が悪い場合は、修正指標(モデルにどのような関係を追加すれば適合度が改善するかを示す指標)を参考にモデルを改善して(1)~(4)の解析を行い比較した。 Analysis procedure (1) Define a model.
(2) Estimate model parameters (parameters) so as to explain the variance structure of sample data to the maximum extent.
(3) Check the model suitability index (an index indicating how much the distribution structure of the sample data can be explained).
(4) Check the model parameter size and reliability (p-value).
(5) If the goodness of fit and parameters are good, the analysis is completed.
(6) If there is a model variable with good relevance but low reliability, the models (1) to (4) were analyzed and compared with the model excluding it.
If the goodness of fit is bad, improve the model with reference to the correction index (an index indicating what kind of relationship should be added to the model to improve the goodness of fit), and compare (1) to (4) for comparison did.
(1)モデルを定義する。
(2)サンプルデータの分散構造を最大限説明するようにモデルパラメータ(母数)を推定する。
(3)モデルの適合度指標(サンプルデータの分散構造をどの程度説明できたかを示す指標)を確認する。
(4)モデルパラメータの大きさと信頼性(p値)を確認する。
(5)適合度、パラメータが良ければ解析終了。
(6)適合度が良いが、信頼性の低いモデル変数がある場合は、それを除外したモデルで(1)~(4)の解析を行い比較した。
適合度が悪い場合は、修正指標(モデルにどのような関係を追加すれば適合度が改善するかを示す指標)を参考にモデルを改善して(1)~(4)の解析を行い比較した。 Analysis procedure (1) Define a model.
(2) Estimate model parameters (parameters) so as to explain the variance structure of sample data to the maximum extent.
(3) Check the model suitability index (an index indicating how much the distribution structure of the sample data can be explained).
(4) Check the model parameter size and reliability (p-value).
(5) If the goodness of fit and parameters are good, the analysis is completed.
(6) If there is a model variable with good relevance but low reliability, the models (1) to (4) were analyzed and compared with the model excluding it.
If the goodness of fit is bad, improve the model with reference to the correction index (an index indicating what kind of relationship should be added to the model to improve the goodness of fit), and compare (1) to (4) for comparison did.
決定木分析
決定木分析では、連続量の肌特性値を目的変数とし、分岐条件は、分けられた2群の目的変数の級間分散と級内分散の比を最小化するように決めていった。分岐要因に年齢を含めるので、年代別の分析は行わず、全サンプルを対象としたモデリングを行った。
モデル変数は、
(1)目的変数(従属変数):肌特性値(連続値)
(2)説明変数(独立変数) :5歳刻みの年齢階級、SNP多型
とした。
解析の手順
(1)目的変数(肌特性値)と説明変数(SNP)の組合せを決める。
(2)決定木分析は、複雑度(CP:Complexity Parameter)が小さくなるように分割続ける。はじめは、CPが減少する限り分割をつづけるという条件で分析する。
(3)n重交差確認法で分岐条件ごとにモデルのエラー率を計算する。n重交差確認法は、データをn組に分割して、そのうちのn-1組を使って決定木を作成し残りの1組のデータを判別し結果のエラー率を計算する。テストデータを入れ替えてn回の評価を行う。
(4)Min+1SE方法を停止条件として採用した。
(5)停止条件の分割点まで作成されるツリーを決定木とした。 Decision tree analysis In decision tree analysis, a continuous amount of skin characteristic value is used as the objective variable, and the branching condition is determined so as to minimize the ratio of the variance between classes and the variance within the class of the two groups of objective variables. It was. Since age is included in the bifurcation factor, analysis was not performed by age group, but modeling was performed for all samples.
Model variables are
(1) Objective variable (dependent variable): skin characteristic value (continuous value)
(2) Explanatory variables (independent variables): Age group of 5 years and SNP polymorphism.
Analysis procedure (1) A combination of an objective variable (skin characteristic value) and an explanatory variable (SNP) is determined.
(2) The decision tree analysis is continuously divided so that the complexity (CP: Complexity Parameter) becomes small. First, the analysis is performed under the condition that the division continues as long as the CP decreases.
(3) The error rate of the model is calculated for each branch condition by the n-fold intersection confirmation method. In the n-fold intersection confirmation method, data is divided into n sets, a decision tree is created using n-1 sets of them, the remaining one set of data is discriminated, and the error rate of the result is calculated. Perform n evaluations by swapping test data.
(4) The Min + 1SE method was adopted as a stop condition.
(5) A tree created up to the dividing point of the stop condition is a decision tree.
決定木分析では、連続量の肌特性値を目的変数とし、分岐条件は、分けられた2群の目的変数の級間分散と級内分散の比を最小化するように決めていった。分岐要因に年齢を含めるので、年代別の分析は行わず、全サンプルを対象としたモデリングを行った。
モデル変数は、
(1)目的変数(従属変数):肌特性値(連続値)
(2)説明変数(独立変数) :5歳刻みの年齢階級、SNP多型
とした。
解析の手順
(1)目的変数(肌特性値)と説明変数(SNP)の組合せを決める。
(2)決定木分析は、複雑度(CP:Complexity Parameter)が小さくなるように分割続ける。はじめは、CPが減少する限り分割をつづけるという条件で分析する。
(3)n重交差確認法で分岐条件ごとにモデルのエラー率を計算する。n重交差確認法は、データをn組に分割して、そのうちのn-1組を使って決定木を作成し残りの1組のデータを判別し結果のエラー率を計算する。テストデータを入れ替えてn回の評価を行う。
(4)Min+1SE方法を停止条件として採用した。
(5)停止条件の分割点まで作成されるツリーを決定木とした。 Decision tree analysis In decision tree analysis, a continuous amount of skin characteristic value is used as the objective variable, and the branching condition is determined so as to minimize the ratio of the variance between classes and the variance within the class of the two groups of objective variables. It was. Since age is included in the bifurcation factor, analysis was not performed by age group, but modeling was performed for all samples.
Model variables are
(1) Objective variable (dependent variable): skin characteristic value (continuous value)
(2) Explanatory variables (independent variables): Age group of 5 years and SNP polymorphism.
Analysis procedure (1) A combination of an objective variable (skin characteristic value) and an explanatory variable (SNP) is determined.
(2) The decision tree analysis is continuously divided so that the complexity (CP: Complexity Parameter) becomes small. First, the analysis is performed under the condition that the division continues as long as the CP decreases.
(3) The error rate of the model is calculated for each branch condition by the n-fold intersection confirmation method. In the n-fold intersection confirmation method, data is divided into n sets, a decision tree is created using n-1 sets of them, the remaining one set of data is discriminated, and the error rate of the result is calculated. Perform n evaluations by swapping test data.
(4) The Min + 1SE method was adopted as a stop condition.
(5) A tree created up to the dividing point of the stop condition is a decision tree.
SEM解析と決定木分析から選択された遺伝子を下記表7に示す。
The genes selected from SEM analysis and decision tree analysis are shown in Table 7 below.
指標化の検討
これまでの解析結果からSNPの肌特性値への影響の指標化について検討した。本節で取り上げたSkinXXとSnpYYの関係を単純にポイントカウントした。増加要因は+1、減少要因は-1とする。各特性値ごとに下記に示すSNPを選択し、スコアの算出式、スコアの頻度分布、スコアごとの肌特性値のBoxPlotを図3(A)~16(A)に示した。 Examination of indexing Based on the analysis results so far, the indexing of the influence of SNP on the skin characteristic value was examined. We simply point-counted the relationship between SkinXX and SnpYY taken up in this section. The increase factor is +1 and the decrease factor is -1. The following SNPs were selected for each characteristic value, and the score calculation formula, score frequency distribution, and BoxPlot of the skin characteristic value for each score are shown in FIGS. 3 (A) to 16 (A).
これまでの解析結果からSNPの肌特性値への影響の指標化について検討した。本節で取り上げたSkinXXとSnpYYの関係を単純にポイントカウントした。増加要因は+1、減少要因は-1とする。各特性値ごとに下記に示すSNPを選択し、スコアの算出式、スコアの頻度分布、スコアごとの肌特性値のBoxPlotを図3(A)~16(A)に示した。 Examination of indexing Based on the analysis results so far, the indexing of the influence of SNP on the skin characteristic value was examined. We simply point-counted the relationship between SkinXX and SnpYY taken up in this section. The increase factor is +1 and the decrease factor is -1. The following SNPs were selected for each characteristic value, and the score calculation formula, score frequency distribution, and BoxPlot of the skin characteristic value for each score are shown in FIGS. 3 (A) to 16 (A).
シミの分析
肌特性のうち、シミの分析を、下記式:
に基づき、SNPスコア(シミ)を計算した。SNPスコア(シミ)とシミスコア(インデックス)との関係、及びSNPスコア(シミ)と頻度との関係を、それぞれ図3(A)及び(B)に示した。
Of the skin analysis characteristics of the stain, the analysis of the stain is represented by the following formula:
Based on this, the SNP score (stain) was calculated. The relationship between the SNP score (stain) and the stain score (index) and the relationship between the SNP score (stain) and the frequency are shown in FIGS. 3A and 3B, respectively.
肌特性のうち、シミの分析を、下記式:
シミ平均面積の分析
肌特性のうち、シミ平均面積の分析を、下記式:
に基づき、SNPスコア(シミ平均面積)を計算した。SNPスコア(シミ平均面積)と平均シミ面積(インデックス)との関係、及びSNPスコア(シミ平均面積)と頻度との関係を、それぞれ図4(A)及び(B)に示した。
The average skin area analysis of the skin average area analysis is the following formula:
Based on the above, the SNP score (stain average area) was calculated. The relationship between the SNP score (spot average area) and the average spot area (index) and the relationship between the SNP score (spot average area) and the frequency are shown in FIGS. 4A and 4B, respectively.
肌特性のうち、シミ平均面積の分析を、下記式:
顔面頬メラニンの分析
肌特性のうち、顔面頬メラニンの分析を、下記式:
に基づき、SNPスコア(顔面頬メラニン)を計算した。SNPスコア(顔面頬メラニン)と顔面メラニン(インデックス)との関係、及びSNPスコア(顔面頬メラニン)と頻度との関係を、それぞれ図5(A)及び(B)に示した。
Analysis of facial cheek melanin Among the skin characteristics , analysis of facial cheek melanin is expressed by the following formula:
Based on this, the SNP score (facial cheek melanin) was calculated. The relationship between the SNP score (facial cheek melanin) and facial melanin (index) and the relationship between the SNP score (facial cheek melanin) and frequency are shown in FIGS. 5 (A) and (B), respectively.
肌特性のうち、顔面頬メラニンの分析を、下記式:
上腕内側メラニンの分析
肌特性のうち、上腕内側メラニンの分析を、下記式:
に基づき、SNPスコア(上腕内側メラニン)を計算した。SNPスコア(上腕内側メラニン)と上腕内側メラニン(インデックス)との関係、及びSNPスコア(上腕内側メラニン)と頻度との関係を、それぞれ図6(A)及び(B)に示した。
Analysis of inner arm melanin Among the skin characteristics, analysis of inner arm melanin, the following formula:
Based on the above, the SNP score (inner arm melanin) was calculated. The relationship between the SNP score (upper arm inner melanin) and the upper arm inner melanin (index) and the relationship between the SNP score (upper arm inner melanin) and the frequency are shown in FIGS. 6 (A) and (B), respectively.
肌特性のうち、上腕内側メラニンの分析を、下記式:
頬の明るさの分析
肌特性のうち、頬の明るさの分析を、下記式:
に基づき、SNPスコア(頬の明るさ)を計算した。SNPスコア(頬の明るさ)と頬明るさ(L*:明度)との関係、及びSNPスコア(頬の明るさ)と頻度との関係を、それぞれ図7(A)及び(B)に示した。
Analysis of cheek brightness Of the skin characteristics, cheek brightness analysis is expressed by the following formula:
Based on the above, the SNP score (cheek brightness) was calculated. FIGS. 7A and 7B show the relationship between the SNP score (cheek brightness) and cheek brightness (L * : brightness), and the relationship between the SNP score (cheek brightness) and frequency, respectively. It was.
肌特性のうち、頬の明るさの分析を、下記式:
頬の黄色の分析
肌特性のうち、頬の黄色の分析を、下記式:
に基づき、SNPスコア(頬の黄色)を計算した。SNPスコア(頬の黄色)と頬黄色(b*:色彩値)との関係、及びSNPスコア(頬の黄色)と頻度との関係を、それぞれ図8(A)及び(B)に示した。
Of cheek yellow analysis skin characteristics, cheek yellow analysis, the following formula:
SNP score (cheek yellow) was calculated based on FIGS. 8A and 8B show the relationship between the SNP score (cheek yellow) and cheek yellow (b * : color value) and the relationship between the SNP score (cheek yellow) and frequency, respectively.
肌特性のうち、頬の黄色の分析を、下記式:
シワの分析
肌特性のうち、シワの分析を、下記式:
に基づき、SNPスコア(シワ)を計算した。SNPスコア(シワ)とシワスコア(インデックス)との関係、及びSNPスコア(シワ)と頻度との関係を、それぞれ図9(A)及び(B)に示した。
Of wrinkle analysis skin characteristics, wrinkle analysis is expressed by the following formula:
SNP score (wrinkle) was calculated based on The relationship between the SNP score (wrinkle) and the wrinkle score (index), and the relationship between the SNP score (wrinkle) and the frequency are shown in FIGS. 9A and 9B, respectively.
肌特性のうち、シワの分析を、下記式:
キメの分析
肌特性のうち、キメの分析を、下記式:
に基づき、SNPスコア(キメ)を計算した。SNPスコア(キメ)とキメスコア(インデックス)との関係、及びSNPスコア(キメ)と頻度との関係を、それぞれ図10(A)及び(B)に示した。
Of the skin analysis characteristics of texture, the analysis of texture is the following formula:
Based on the above, the SNP score (texture) was calculated. The relationship between the SNP score (texture) and the texture score (index) and the relationship between the SNP score (texture) and the frequency are shown in FIGS. 10A and 10B, respectively.
肌特性のうち、キメの分析を、下記式:
はりの分析
肌特性のうち、はりの分析を、下記式:
に基づき、SNPスコア(はり)を計算した。SNPスコア(はり)とはりスコア(R7)との関係、及びSNPスコア(はり)と頻度との関係を、それぞれ図11(A)及び(B)に示した。
The analysis of the beam among the analysis characteristics of the beam, the following formula:
Based on the above, the SNP score (beam) was calculated. The relationship between the SNP score (beam) and the beam score (R7) and the relationship between the SNP score (beam) and the frequency are shown in FIGS. 11 (A) and (B), respectively.
肌特性のうち、はりの分析を、下記式:
皮脂-額の分析
肌特性のうち、皮脂-額の分析を、下記式:
に基づき、SNPスコア(皮脂-額)を計算した。SNPスコア(皮脂-額)と皮脂スコア(A.U.)との関係、及びSNPスコア(皮脂-額)と頻度との関係を、それぞれ図12(A)及び(B)に示した。
Sebum-Forehead Analysis Of the skin characteristics, sebum-Forehead analysis is represented by the following formula:
The SNP score (Sebum-Forehead) was calculated based on The relationship between the SNP score (sebum-forehead) and sebum score (AU) and the relationship between the SNP score (sebum-forehead) and frequency are shown in FIGS. 12A and 12B, respectively.
肌特性のうち、皮脂-額の分析を、下記式:
水分量-頬の分析
肌特性のうち、水分量-頬の分析を、下記式:
に基づき、SNPスコア(水分量-頬)を計算した。SNPスコア(水分量-頬)と頬角層水分量(A.U.)との関係、及びSNPスコア(水分量-頬)と頻度との関係を、それぞれ図13(A)及び(B)に示した。
Moisture content-cheek analysis Of skin characteristics, moisture content-cheek analysis, the following formula:
The SNP score (moisture content-cheek) was calculated. 13A and 13B show the relationship between the SNP score (water content-cheek) and the cheek corner layer water content (AU) and the relationship between the SNP score (water content-cheek) and frequency, respectively. It was shown to.
肌特性のうち、水分量-頬の分析を、下記式:
水分量-腕の分析
肌特性のうち、水分量-腕の分析を、下記式:
に基づき、SNPスコア(水分量-腕)を計算した。SNPスコア(水分量-腕)と腕角層水分量(A.U.)との関係、及びSNPスコア(水分量-腕)と頻度との関係を、それぞれ図14(A)及び(B)に示した。
Moisture content-Arm analysis Of skin characteristics, moisture content-Arm analysis, the following formula:
Based on the above, the SNP score (water content-arm) was calculated. FIGS. 14A and 14B show the relationship between the SNP score (water content-arm) and the arm horn layer water content (AU), and the relationship between the SNP score (water content-arm) and frequency, respectively. It was shown to.
肌特性のうち、水分量-腕の分析を、下記式:
バリア-頬の分析
肌特性のうち、バリア-頬の分析を、下記式:
に基づき、SNPスコア(バリア-頬)を計算した。SNPスコア(バリア-頬)と頬経皮水分蒸散量(g/m2h)との関係、及びSNPスコア(バリア-頬)と頻度との関係を、それぞれ図15(A)及び(B)に示した。
Barrier-cheek analysis Of the skin characteristics, barrier-cheek analysis is expressed by the following formula:
SNP score (barrier-cheek) was calculated based on 15A and 15B show the relationship between the SNP score (barrier-cheek) and buccal transdermal moisture transpiration (g / m 2 h), and the relationship between the SNP score (barrier-cheek) and frequency, respectively. It was shown to.
肌特性のうち、バリア-頬の分析を、下記式:
バリア-腕の分析
肌特性のうち、バリア-腕の分析を、下記式:
に基づき、SNPスコア(バリア-腕)を計算した。SNPスコア(バリア-腕)と腕経皮水分蒸散量(g/m2h)との関係、及びSNPスコア(バリア-腕)と頻度との関係を、それぞれ図16(A)及び(B)に示した。
Barrier-arm analysis Of the skin characteristics, the barrier-arm analysis is expressed by the following formula:
SNP score (barrier-arm) was calculated based on FIGS. 16A and 16B show the relationship between the SNP score (barrier-arm) and transdermal water transpiration (g / m 2 h), and the relationship between the SNP score (barrier-arm) and frequency, respectively. It was shown to.
肌特性のうち、バリア-腕の分析を、下記式:
最適な回帰モデルで予測区間を設定したケース、コントロール解析
被験者を下記表9に示す被験者数に増やし、さらに解析を実施した。肌特性値と遺伝子型SNPのペアに関して、肌特性値の分布がどの遺伝子型SNPで異なっているのかを分析した。それぞれの肌特性に対して、年齢とそれぞれの計測値のプロットから表10に示す最適な回帰モデルを設定し、標準偏差(σ)の幅予測区間を決定した。幅予測区間から上部に外れる検体群を高値群、下部に外れる検体群を低値群とした。高値群、低値群を「ケース」としそれ以外を「コントロール」とし、カイ2乗検定を適用し、選択されたSNPを下記表11に示した。SNPの影響の検出は、優性(顕性)、劣性(潜性)の2通りで解析を行った。優性は(ワイルド+ヘテロ)vsホモとし、劣性はワイルドvs(ヘテロ+ホモ)とした。
The case where the prediction interval was set with the optimal regression model and the control analysis subjects were increased to the number of subjects shown in Table 9 below, and further analysis was performed. Regarding the pair of skin characteristic value and genotype SNP, it was analyzed which genotype SNP had a different distribution of skin characteristic value. For each skin characteristic, the optimal regression model shown in Table 10 was set from the plot of age and each measured value, and the width prediction interval of the standard deviation (σ) was determined. A sample group that deviates upward from the width prediction section is a high value group, and a sample group that deviates downward is a low value group. The high value group and the low value group were “cases” and the others were “controls”, chi-square test was applied, and selected SNPs are shown in Table 11 below. The detection of the influence of SNP was analyzed in two ways: dominant (apparent) and recessive (latency). The dominant was (wild + hetero) vs homo and the recessive was wild vs (hetero + homo).
被験者を下記表9に示す被験者数に増やし、さらに解析を実施した。肌特性値と遺伝子型SNPのペアに関して、肌特性値の分布がどの遺伝子型SNPで異なっているのかを分析した。それぞれの肌特性に対して、年齢とそれぞれの計測値のプロットから表10に示す最適な回帰モデルを設定し、標準偏差(σ)の幅予測区間を決定した。幅予測区間から上部に外れる検体群を高値群、下部に外れる検体群を低値群とした。高値群、低値群を「ケース」としそれ以外を「コントロール」とし、カイ2乗検定を適用し、選択されたSNPを下記表11に示した。SNPの影響の検出は、優性(顕性)、劣性(潜性)の2通りで解析を行った。優性は(ワイルド+ヘテロ)vsホモとし、劣性はワイルドvs(ヘテロ+ホモ)とした。
Claims (45)
- 以下の:
rs1030868、rs1050565、rs10515552、rs10741657、rs11057830、rs1107946、rs1256062、rs12785878、rs12931267、rs1501299、rs17822931、rs1799750、rs1800414、rs1800629、rs2046571、rs2241145、rs2246416、rs2285053、rs2287074、rs2987983、rs3760776、rs3829251、rs6058017、rs74653330、rs7501331、rs8326、rs833061、rs11234027、rs16891982、rs17577、rs1799724、rs1800012、rs2010963、rs2108622、rs2232228、rs3785079、rs7799039、rs10882272、rs1485766、rs1540771、rs7201、rs964184、rs1993116、rs2060793、rs2282679、rs12272004、rs2227564、rs2298585、rs4065、rs4880、rs492602、rs12051272、rs1126643、rs2234693、rs3865188、rs11568737、rs1801133、rs2228479、rs41281112、rs1061622、rs8110862、rs9340799、rs12377462、rs1667255、rs12913832、及びrs4654748からなる群から選ばれる、少なくとも1のSNPを検出する工程、
検出されたSNPに基づき、肌特性を決定する工程
を含む、肌特性の決定方法。 below:
rs1030868, rs1050565, rs10515552, rs10741657, rs11057830, rs1107946, rs1256062, rs12785878, rs12931267, rs1501299, rs17822931, rs1799750, rs1800414, rs1800629, rs2046571, rs2241145, rs2246416, rs7983, rs7983, rs798 rs8326, rs833061, rs11234027, rs16891982, rs17577, rs1799724, rs1800012, rs2010963, rs2108622, rs2232228, rs3785079, rs7799039, rs10882272, rs1485766, rs1540771, rs7201, rs964184, rs1993116, rs2060793, rs2282rs, 586 detecting at least one SNP selected from the group consisting of rs492602, rs12051272, rs1126643, rs2234693, rs3865188, rs11568737, rs1801133, rs2228479, rs41281112, rs1061622, rs8110862, rs9340799, rs12377462, rs1667255, rs12913832, and rs4654748,
A method for determining skin properties, comprising: determining skin properties based on detected SNPs. - 肌特性が、肌形状特性、肌質、及び肌の色特性からなる群から選ばれる、請求項1に記載の決定方法。 The determination method according to claim 1, wherein the skin characteristic is selected from the group consisting of a skin shape characteristic, a skin quality, and a skin color characteristic.
- 肌特性が、肌形状特性であり、前記SNPが以下の:
rs1256062、rs10515552、rs1107946、rs12785878、rs12931267、rs1501299、rs1799750、rs1800629、rs2285053、rs3760776、rs12051272、rs1030868、rs10741657、rs11057830、rs11234027、rs1126643、rs11568737、rs1485766、rs1540771、rs16891982、rs17577、rs1799724、rs1800012、rs1801133、rs1993116、rs2010963、rs2060793、rs2108622、rs2228479、rs2232228、rs2234693、rs2241145、rs2246416、rs2287074、rs3785079、rs3829251、rs3865188、rs4065、rs41281112、rs492602、rs6058017、rs7501331、rs7799039、rs8326、及びrs964184からなる群から選ばれる、請求項2に記載の決定方法。 The skin characteristic is a skin shape characteristic, and the SNP is as follows:
rs1256062, rs10515552, rs1107946, rs12785878, rs12931267, rs1501299, rs1799750, rs1800629, rs2285053, rs3760776, rs12051272, rs1030868, rs10741657, rs11057830, rs11234027, rs1126643, rs11568737, rs1485766, rs1540797, 180, rs1540797, 180 rs2010963, rs2060793, rs2108622, rs2228479, rs2232228, rs2234693, rs2241145, rs2246416, rs2287074, rs3785079, rs3829251, rs3865188, rs4065, rs41281112, rs492602, rs6058017, rs7501331, rs7799039, rs8326 The determination method described in 1. - 肌形状特性が、シワ、キメ、及びハリからなる群から選ばれる、請求項3に記載の決定方法。 4. The determination method according to claim 3, wherein the skin shape characteristic is selected from the group consisting of wrinkles, textures, and firmness.
- 肌形状特性がシワである場合に、前記SNPが以下の:rs1800629、rs1107946、rs1501299、rs10515552、rs12785878、rs12051272、rs1126643、rs1256062、rs1485766、rs1799750、rs2234693、rs2246416、rs3760776、rs3865188、rs4065、rs6058017、及びrs964184からなる群から選ばれる、請求項3に記載の決定方法。 When the skin shape characteristic is wrinkle, the SNP is: The determination method according to claim 3, wherein the determination method is selected from the group consisting of:
- 肌形状特性がキメである場合に、前記SNPが以下の:rs1256062、rs1799750、rs12931267、rs11057830、rs1107946、rs11234027、rs16891982、rs17577、rs1799724、rs1800012、rs2010963、rs2108622、rs2232228、rs3785079、rs3829251、rs7501331、rs7799039、からなる群から選ばれる、請求項3に記載の決定方法。 When the skin shape characteristic is fine, the SNP is as follows: rs1256062, rs1799750, rs12931267, rs11057830, rs1107946, rs11234027, rs16891982, rs17577, rs1799724, rs1800012, rs2010963, rs2108622, rs2232228, rs3785079, rs3829251, rs7501331, 77 The determination method according to claim 3, wherein the determination method is selected from the group consisting of:
- 肌形状特性が、ハリである場合に、前記SNPが以下の:rs1256062、rs3760776、rs12931267、及びrs2285053、rs1030868、rs10741657、rs11568737、rs1540771、rs1799724、rs1800012、rs1801133、rs1993116、rs2060793、rs2228479、rs2232228、rs2241145、rs2287074、rs41281112、rs492602、rs8326、からなる群から選ばれる、請求項3に記載の決定方法。 When the skin shape characteristic is firm, the SNP is: The determination method according to claim 3, wherein the determination method is selected from the group consisting of rs2287074, rs41281112, rs492602, and rs8326.
- 肌特性が、肌質であり、前記SNPが以下の:rs2987983、rs1050565、rs11057830、rs12931267、rs17822931、rs1800414、rs1800629、rs2285053、rs3760776、rs3829251、rs74653330、rs7501331、rs1030868、rs10515552、rs1061622、rs10882272、rs1107946、rs1126643、rs2241145、rs2282679、rs41281112、rs6058017、rs7201、rs7799039、rs8110862、rs9340799、rs12377462、rs1485766、rs1501299、rs16891982、rs17577、rs1800012、rs2228479、rs3785079、rs1667255、rs2046571、rs2227564、rs2246416、rs4065、rs4880、rs492602、及びrs964184からなる群から選ばれる、請求項2に記載の決定方法。 The skin property is skin quality, and the SNP is as follows: rs2987983, rs1050565, rs11057830, rs12931267, rs17822931, rs1800414, rs1800629, rs2285053, rs3760776, rs3829251, rs74653330, rs7501331, rs1030868, rs10515552, rs1015611, rs1088211, rs1088211 , Rs2241145, rs2282679, rs41281112, rs6058017, rs7201, rs7799039, rs8110862, rs9340799, rs12377462, rs1485766, rs1501299, rs16891982, rs17577, rs1800012, rs2228479, rs3785079, rs1667255, rs2046571, rs4227, 964 The determination method according to claim 2, which is selected from the group consisting of:
- 肌質が、皮脂量、水分量、及び皮膚バリア機能からなる群から選ばれる、請求項8に記載の決定方法。 The determination method according to claim 8, wherein the skin quality is selected from the group consisting of sebum amount, moisture amount, and skin barrier function.
- 肌質が、皮脂量である場合に、前記SNPが以下の:rs2987983、rs74653330、rs12931267、rs10882272、rs1667255、rs2046571、rs2227564、rs2246416、rs4065、rs4880、rs492602、rs6058017、及びrs964184からなる群から選ばれる、請求項9に記載の決定方法。 When the skin quality is sebum amount, the SNP is selected from the group consisting of the following: rs2987983, rs74653330, rs12931267, rs10882272, rs1667255, rs2046571, rs2227564, rs2246416, rs4065, rs4880, rs492602, rs6058017, and rs964184 The determination method according to claim 9.
- 肌質が、水分量である場合に、前記SNPが以下の:rs7501331、rs3760776、rs3829251、及びrs17822931、rs1126643、rs12377462、rs1485766、rs1501299、rs16891982、rs17577、rs1800012、rs2228479、rs2282679、rs3785079、rs7201、rs9340799からなる群から選ばれる、請求項9に記載の決定方法。 When the skin quality is the amount of water, the SNPs are as follows: The determination method according to claim 9, which is selected from the group consisting of:
- 肌質が、皮膚バリア機能である場合に、前記SNPが以下の:rs1050565、rs17822931、rs1800414、rs2285053、rs3829251、rs1800629、rs11057830 rs1030868、rs10515552、rs1061622、rs10882272、rs1107946、rs1126643、rs2241145、rs2282679、rs41281112、rs6058017、rs7201、rs74653330、rs7799039、rs8110862、及びrs9340799からなる群から選ばれる、請求項9に記載の決定方法。 When the skin quality is a skin barrier function, the SNP is as follows: rs1050565, rs17822931, rs1800414, rs2285053, rs3829251, rs1800629, rs11057830 rs1030868, rs10515552, rs1061622, rs10882272, rs1107946, rs1126643, rs2241145, rs2282rs, rs41281 , Rs7201, rs74653330, rs7799039, rs8110862, and rs9340799.
- 肌特性が、肌の色特性であり、前記SNPが以下の:rs1030868、rs10741657、rs1107946、rs12785878、rs1799750、rs2046571、rs2241145、rs2246416、rs2285053、rs2287074、rs3760776、rs3829251、rs6058017、rs74653330、rs8326、rs833061、rs10515552、rs10882272、rs11057830、rs11234027、rs1126643、rs12272004、rs1256062、rs12913832、rs1485766、rs1501299、rs1540771、rs17577、rs1799724、rs1800629、rs1993116、rs2010963、rs2060793、rs2227564、rs2228479、rs2232228、rs2282679、rs2298585、rs2987983、rs3785079、rs3865188、rs4065、rs41281112、rs4654748、rs4880、rs492602、rs7201、rs9340799、及びrs964184からなる群から選ばれる、請求項2に記載の決定方法。 The skin characteristics are skin color characteristics, and the SNPs are as follows: rs1030868, rs10741657, rs1107946, rs12785878, rs1799750, rs2046571, rs2241145, rs2246416, rs2285053, rs2287074, rs3760776, rs3829251, rs74658030, rs74653330, rs8326, rs833061, , Rs10882272, rs11057830, rs11234027, rs11226643, rs112662004, rs1256062, rs12913832, rs1485766, rs1501299, rs1540771, rs17577, rs1799724, rs1800629, rs1993116, rs2010963, rs2060793, rs2227564, rs2228479, rs2232228, rs228679, rs2232228, rs228679 , Rs41281112, rs4654748, rs4880, rs492602, rs7201, rs9340799, and rs964184.
- 肌の色特性が、肌の地色、紫外線曝露部の肌の色、シミ、明るさ及び黄色みからなる群から選ばれる、請求項13に記載の決定方法。 The determination method according to claim 13, wherein the skin color characteristic is selected from the group consisting of a background color of the skin, a skin color of an ultraviolet-exposed portion, a stain, brightness, and yellowness.
- 肌の色特性が肌の地色である場合に、前記SNPが以下の:rs3760776、rs2246416、rs2241145、rs10741657、rs6058017、rs2287074、rs74653330、rs1256062、rs17577、rs3865188、rs41281112、及びrs8326からなる群から選ばれる、請求項14に記載の決定方法。 When the skin color characteristic is the ground color of the skin, the SNP is selected from the group consisting of: rs3760776, rs2246416, rs2241145, rs10741657, rs6058017, rs2287074, rs74653330, rs1256062, rs17577, rs3865188, rs41281112, and rs8326 The determination method according to claim 14.
- 肌の色特性が肌の紫外線曝露部の肌の色である場合に、前記SNPが以下の:rs2241145、rs6058017、rs1799750、rs1030868、rs2287074、rs2046571、rs2285053、rs10741657、rs2246416、rs1107946、rs7201、及びrs74653330からなる群から選ばれる、請求項14に記載の決定方法。 When the skin color characteristic is the skin color of the exposed part of the skin UV, the SNP is from the following: The determination method according to claim 14, which is selected from the group consisting of:
- 肌の色特性がシミである場合に、前記SNPが以下の:rs1030868、rs12785878、rs1799750、rs2046571、rs2241145、rs3829251、rs8326、rs833061、rs10515552、rs10741657、rs10882272、rs11057830、rs11234027、rs12272004、rs1256062、rs1485766、rs1501299、rs1540771、rs1799724、rs1800629、rs1993116、rs2010963、rs2060793、rs2227564、rs2232228、rs2246416、rs2282679、rs2298585、rs2987983、rs4065、rs4880、rs492602、rs6058017、rs7201、rs964184からなる群から選ばれる、請求項14に記載の決定方法。 When the skin color characteristic is a stain, the SNP is: , Rs1540771, rs1799724, rs1800629, rs1993116, rs2010963, rs2060793, rs2227564, rs2232228, rs2246416, rs2282679, rs2298585, rs2987983, rs4065, rs4880, rs492602, rs6058017, rs7201, rs964184 Method.
- 肌の色特性が明るさである場合に、前記SNPが以下の:rs2285053、rs6058017、rs74653330及びrs2246416、rs11057830、rs1126643、rs1799724、rs2228479、rs2232228、rs4654748、rs833061、及びrs9340799からなる群から選ばれる、請求項14に記載の決定方法。 When the skin color characteristic is light, the SNP is selected from the group consisting of: rs2285053, rs6058017, rs74653330 and rs2246416, rs11057830, rs1126643, rs1799724, rs2228479, rs2232228, rs4654748, rs833061, and rs9340799. Item 15. The determination method according to Item 14.
- 肌の色特性が黄色みである場合に、前記SNPが以下の:rs10741657、rs6058017、rs2241145、rs2285053、rs1799750、rs1030868、及びrs2246416、rs1107946、rs1126643、rs12913832、rs17577、rs3785079、rs492602、rs74653330、rs833061、及びrs9340799からなる群から選ばれる、請求項14に記載の決定方法。 When the skin color characteristic is yellowish, the SNPs are: The method according to claim 14, which is selected from the group consisting of rs9340799.
- 請求項1~19のいずれか一項に記載の方法により決定された肌特性に基づくカウンセリング方法。 A counseling method based on the skin characteristics determined by the method according to any one of claims 1 to 19.
- 請求項1~19のいずれか一項に記載の方法により決定された肌特性に応じて、化粧料を選択することを特徴とする、化粧料の提供方法。 A method for providing a cosmetic, characterized in that the cosmetic is selected according to the skin characteristics determined by the method according to any one of claims 1 to 19.
- 請求項1~19のいずれか一項に記載の方法により決定された肌特性に応じて、サプリメントを選択することを特徴とする、サプリメントの提供方法。 A method for providing supplements, comprising selecting supplements according to the skin characteristics determined by the method according to any one of claims 1 to 19.
- 肌特性を決定するコンピュータであって、以下の:
rs1030868、rs1050565、rs10515552、rs10741657、rs11057830、rs1107946、rs1256062、rs12785878、rs12931267、rs1501299、rs17822931、rs1799750、rs1800414、rs1800629、rs2046571、rs2241145、rs2246416、rs2285053、rs2287074、rs2987983、rs3760776、rs3829251、rs6058017、rs74653330、rs7501331、rs8326、rs833061 rs11234027、rs16891982、rs17577、rs1799724、rs1800012、rs2010963、rs2108622、rs2232228、rs3785079、rs7799039、rs10882272、rs1485766、rs1540771、rs7201、rs964184、rs1993116、rs2060793、rs2282679、rs12272004、rs2227564、rs2298585、rs4065、rs4880、rs492602、rs12051272、rs1126643、rs2234693、rs3865188、rs11568737、rs1801133、rs2228479、rs41281112、rs1061622、rs8110862、rs9340799、rs12377462、rs1667255、rs12913832、及びrs4654748からなる群から選ばれる少なくとも1のSNPに関する情報と、当該SNPと関連する肌特性の情報とを記憶させた記憶部、
利用者のDNA情報を入力する入力部、
入力されたDNA情報中において、記憶されたSNPの存在を検出する処理部、
検出されたSNPに関連する肌特性の情報を出力する出力部
を含む、コンピュータ。 A computer for determining skin characteristics, including:
rs1030868, rs1050565, rs10515552, rs10741657, rs11057830, rs1107946, rs1256062, rs12785878, rs12931267, rs1501299, rs17822931, rs1799750, rs1800414, rs1800629, rs2046571, rs2241145, rs2246416, rs7983, rs7983, rs798 rs8326, rs833061 rs11234027, rs16891982, rs17577, rs1799724, rs1800012, rs2010963, rs2108622, rs2232228, rs3785079, rs7799039, rs10882272, rs1485766, rs1540771, rs7201, rs964184, rs1993116, rs2060793, rs2282679, rs5564 Rs12051272, rs1126643, rs2234693, rs3865188, rs11568737, rs1801133, rs2228479, rs41281112, rs1061622, rs8110862, rs9340799, rs12377462, rs1667255, rs12913832, and rs4654748, and related to the SNP A storage unit that stores information on skin characteristics;
An input unit for inputting the user's DNA information;
A processing unit for detecting the presence of a stored SNP in the input DNA information;
A computer comprising: an output unit that outputs information on skin characteristics related to the detected SNP. - 前記コンピュータが、サーバーであり、入力部が通信部であり、出力部が通信部である、請求項23に記載のコンピュータ。 24. The computer according to claim 23, wherein the computer is a server, the input unit is a communication unit, and the output unit is a communication unit.
- 肌特性が、肌形状特性、肌質、及び肌の色特性からなる群から選ばれる、請求項23又は24に記載のコンピュータ。 The computer according to claim 23 or 24, wherein the skin characteristic is selected from the group consisting of a skin shape characteristic, a skin quality, and a skin color characteristic.
- 肌特性が、肌形状特性であり、前記SNPが以下の:
rs1256062、rs10515552、rs1107946、rs12785878、rs12931267、rs1501299、rs1799750、rs1800629、rs2285053、rs3760776、rs12051272、rs1030868、rs10741657、rs11057830、rs11234027、rs1126643、rs11568737、rs1485766、rs1540771、rs16891982、rs17577、rs1799724、rs1800012、rs1801133、rs1993116、rs2010963、rs2060793、rs2108622、rs2228479、rs2232228、rs2234693、rs2241145、rs2246416、rs2287074、rs3785079、rs3829251、rs3865188、rs4065、rs41281112、rs492602、rs6058017、rs7501331、rs7799039、rs8326、及びrs964184からなる群から選ばれる、請求項25にコンピュータ。 The skin characteristic is a skin shape characteristic, and the SNP is as follows:
rs1256062, rs10515552, rs1107946, rs12785878, rs12931267, rs1501299, rs1799750, rs1800629, rs2285053, rs3760776, rs12051272, rs1030868, rs10741657, rs11057830, rs11234027, rs1126643, rs11568737, rs1485766, rs1540797, 180, rs1540797, 180 rs2010963, rs2060793, rs2108622, rs2228479, rs2232228, rs2234693, rs2241145, rs2246416, rs2287074, rs3785079, rs3829251, rs3865188, rs4065, rs41281112, rs492602, rs6058017, rs7501331, rs7799039, rs83326, and rs964184, 25th selected from rs964184, 25th To computer. - 肌形状特性が、シワ、キメ、及びハリからなる群から選ばれる、請求項26に記載のコンピュータ。 27. The computer according to claim 26, wherein the skin shape characteristic is selected from the group consisting of wrinkles, texture, and firmness.
- 肌特性が、肌質であり、前記SNPが以下の:
rs2987983、rs1050565、rs11057830、rs12931267、rs17822931、rs1800414、rs1800629、rs2285053、rs3760776、rs3829251、rs74653330、rs7501331、rs1030868、rs10515552、rs1061622、rs10882272、rs1107946、rs1126643、rs2241145、rs2282679、rs41281112、rs6058017、rs7201、rs7799039、rs8110862、rs9340799、rs12377462、rs1485766、rs1501299、rs16891982、rs17577、rs1800012、rs2228479、rs3785079、rs1667255、rs2046571、rs2227564、rs2246416、rs4065、rs4880、rs492602、rs964184からなる群から選ばれる、請求項25に記載のコンピュータ。 The skin property is skin quality, and the SNP is as follows:
rs2987983, rs1050565, rs11057830, rs12931267, rs17822931, rs1800414, rs1800629, rs2285053, rs3760776, rs3829251, rs74653330, rs7501331, rs1030868, rs10515552, rs1061622, rs10882272, rs1126610, rs2 147, rs2 26. The computer of claim 25, selected from the group consisting of rs9340799, rs12377462, rs1485766, rs1501299, rs16891982, rs17577, rs1800012, rs2228479, rs3785079, rs1667255, rs2046571, rs2227564, rs2246416, rs4065, rs4880, rs492602, rs964184. - 肌質が、皮脂量、水分量、及び皮膚バリア機能からなる群から選ばれる、請求項28に記載のコンピュータ。 29. The computer according to claim 28, wherein the skin quality is selected from the group consisting of sebum amount, moisture amount, and skin barrier function.
- 肌特性が、肌の色特性であり、前記SNPが以下の:
rs1030868、rs10741657、rs1107946、rs12785878、rs1799750、rs2046571、rs2241145、rs2246416、rs2285053、rs2287074、rs3760776、rs3829251、rs6058017、rs74653330、rs8326、rs833061、rs10515552、rs10882272、rs11057830、rs11234027、rs1126643、rs12272004、rs1256062、rs12913832、rs1485766、rs1501299、rs1540771、rs17577、rs1799724、rs1800629、rs1993116、rs2010963、rs2060793、rs2227564、rs2228479、rs2232228、rs2282679、rs2298585、rs2987983、rs3785079、rs3865188、rs4065、rs41281112、rs4654748、rs4880、rs492602、rs7201、rs9340799、及びrs964184からなる群から選ばれる、請求項25に記載の決定方法。 The skin property is a skin color property, and the SNP is:
rs1030868, rs10741657, rs1107946, rs12785878, rs1799750, rs2046571, rs2241145, rs2246416, rs2285053, rs2287074, rs3760776, rs3829251, rs6058017, rs74653330, rs8326, rs833061, rs10515552, rs34027, 129 rs1501299, rs1540771, rs17577, rs1799724, rs1800629, rs1993116, rs2010963, rs2060793, rs2227564, rs2228479, rs2232228, rs2282679, rs2298585, rs2987983, rs3785079, rs3865188, rs4065, rs41281112, rs4654, rs4, 184 The determination method according to claim 25, which is selected from the group. - 肌の色特性が、肌の地色、紫外線曝露部の肌の色、シミ、明るさ及び黄色みからなる群から選ばれる、請求項30に記載の決定方法。 The determination method according to claim 30, wherein the skin color characteristic is selected from the group consisting of a background color of the skin, a skin color of an ultraviolet-exposed portion, a stain, brightness, and yellowness.
- 前記記憶部が、さらに肌特性の情報と、当該肌特性に適した化粧料及びサプリメント、並びに当該肌特性のヒトにとって必要な生活習慣改善のアドバイスのリストとを記憶し、
肌特性の情報に加えて、当該肌情報に適した化粧料及びサプリメント、並びに当該肌特性のヒトにとって必要な生活習慣改善のアドバイスを出力する、請求項23~31のいずれか一項に記載のコンピュータ。 The storage unit further stores information on skin characteristics, cosmetics and supplements suitable for the skin characteristics, and a list of lifestyle improvement advice necessary for humans of the skin characteristics,
The cosmetics and supplement suitable for the skin information in addition to the information on the skin characteristics, and advice on lifestyle improvement necessary for humans with the skin characteristics are output. Computer. - 記憶部と、入力部と、処理部と、出力部とを含む肌特性を決定するコンピュータを制御するプログラムであって、以下の:
rs1030868、rs1050565、rs10515552、rs10741657、rs11057830、rs1107946、rs1256062、rs12785878、rs12931267、rs1501299、rs17822931、rs1799750、rs1800414、rs1800629、rs2046571、rs2241145、rs2246416、rs2285053、rs2287074、rs2987983、rs3760776、rs3829251、rs6058017、rs74653330、rs7501331、rs8326、rs833061、rs11234027、rs16891982、rs17577、rs1799724、rs1800012、rs2010963、rs2108622、rs2232228、rs3785079、rs7799039、rs10882272、rs1485766、rs1540771、rs7201、rs964184、rs1993116、rs2060793、rs2282679、rs12272004、rs2227564、rs2298585、rs4065、rs4880、rs492602、rs12051272、rs1126643、rs2234693、rs3865188、rs11568737、rs1801133、rs2228479、rs41281112、rs1061622、rs8110862、rs9340799、rs12377462、rs1667255、rs12913832、及びrs4654748からなる群から選ばれる少なくとも1のSNPに関する情報と、当該SNPと関連する肌特性の情報とを記憶部に記憶させ、
入力部から、利用者のDNA情報を入力させ、
処理部に、入力されたDNA情報において記憶されたSNPの存在を検出させ、
出力部に、検出されたSNPに関連する肌特性の情報を出力させる、
前記プログラム。 A program for controlling a computer for determining skin characteristics including a storage unit, an input unit, a processing unit, and an output unit, the following:
rs1030868, rs1050565, rs10515552, rs10741657, rs11057830, rs1107946, rs1256062, rs12785878, rs12931267, rs1501299, rs17822931, rs1799750, rs1800414, rs1800629, rs2046571, rs2241145, rs2246416, rs7983, rs7983, rs798 rs8326, rs833061, rs11234027, rs16891982, rs17577, rs1799724, rs1800012, rs2010963, rs2108622, rs2232228, rs3785079, rs7799039, rs10882272, rs1485766, rs1540771, rs7201, rs964184, rs1993116, rs2060793, rs2282rs, 586 information related to at least one SNP selected from the group consisting of rs492602, rs12051272, rs1126643, rs2234693, rs3865188, rs11568737, rs1801133, rs2228479, rs41281112, rs1061622, rs8110862, rs9340799, rs12377462, rs1667255, rs12913832, and rs4654748 Information on skin properties to be stored in the storage unit,
Input the user's DNA information from the input section,
Let the processing unit detect the presence of the SNP stored in the input DNA information,
Causing the output unit to output information on skin characteristics related to the detected SNP;
The program. - 前記コンピュータが、サーバーであり、入力部が通信部であり、出力部が通信部である、請求項33に記載のプログラム。 34. The program according to claim 33, wherein the computer is a server, the input unit is a communication unit, and the output unit is a communication unit.
- 肌特性が、肌形状特性、肌質、及び肌の色特性からなる群から選ばれる、請求項33又は34に記載のプログラム。 35. The program according to claim 33 or 34, wherein the skin characteristic is selected from the group consisting of a skin shape characteristic, a skin quality, and a skin color characteristic.
- 肌特性が、肌形状特性であり、前記SNPが以下の:
rs1256062、rs10515552、rs1107946、rs12785878、rs12931267、rs1501299、rs1799750、rs1800629、rs2285053、rs3760776、rs12051272、rs1030868、rs10741657、rs11057830、rs11234027、rs1126643、rs11568737、rs1485766、rs1540771、rs16891982、rs17577、rs1799724、rs1800012、rs1801133、rs1993116、rs2010963、rs2060793、rs2108622、rs2228479、rs2232228、rs2234693、rs2241145、rs2246416、rs2287074、rs3785079、rs3829251、rs3865188、rs4065、rs41281112、rs492602、rs6058017、rs7501331、rs7799039、rs8326、及びrs964184からなる群から選ばれる、請求項35に記載のプログラム。 The skin characteristic is a skin shape characteristic, and the SNP is as follows:
rs1256062, rs10515552, rs1107946, rs12785878, rs12931267, rs1501299, rs1799750, rs1800629, rs2285053, rs3760776, rs12051272, rs1030868, rs10741657, rs11057830, rs11234027, rs1126643, rs11568737, rs1485766, rs1540797, 180, rs1540797, 180 rs2010963, rs2060793, rs2108622, rs2228479, rs2232228, rs2234693, rs2241145, rs2246416, rs2287074, rs3785079, rs3829251, rs3865188, rs4065, rs41281112, rs492602, rs6058017, rs7501331, rs7799039, rs96426, and rs964184, rs964184, and rs964184, 35 The program described in. - 肌形状特性が、シワ、キメ、及びハリからなる群から選ばれる、請求項36に記載のプログラム。 The program according to claim 36, wherein the skin shape characteristic is selected from the group consisting of wrinkles, textures, and firmness.
- 肌特性が、肌質であり、前記SNPが以下の:
rs2987983、rs1050565、rs11057830、rs12931267、rs17822931、rs1800414、rs1800629、rs2285053、rs3760776、rs3829251、rs74653330、rs7501331、rs1030868、rs10515552、rs1061622、rs10882272、rs1107946、rs1126643、rs2241145、rs2282679、rs41281112、rs6058017、rs7201、rs7799039、rs8110862、rs9340799、rs12377462、rs1485766、rs1501299、rs16891982、rs17577、rs1800012、rs2228479、rs3785079、rs1667255、rs2046571、rs2227564、rs2246416、rs4065、rs4880、rs492602、及びrs964184からなる群から選ばれる、請求項35に記載のプログラム。 The skin property is skin quality, and the SNP is as follows:
rs2987983, rs1050565, rs11057830, rs12931267, rs17822931, rs1800414, rs1800629, rs2285053, rs3760776, rs3829251, rs74653330, rs7501331, rs1030868, rs10515552, rs1061622, rs10882272, rs1126610, rs2 147, rs2 36. The program of claim 35, selected from the group consisting of rs9340799, rs12377462, rs1485766, rs1501299, rs16891982, rs17577, rs1800012, rs2228479, rs3785079, rs1667255, rs2046571, rs2227564, rs2246416, rs4065, rs4880, rs492602, and rs964184. - 肌質が、皮脂量、水分量、及び皮膚バリア機能からなる群から選ばれる、請求項38に記載のプログラム。 The program according to claim 38, wherein the skin quality is selected from the group consisting of sebum amount, moisture amount, and skin barrier function.
- 肌特性が、肌の色特性であり、前記SNPが以下の:rs1030868、rs10741657、rs1107946、rs12785878、rs1799750、rs2046571、rs2241145、rs2246416、rs2285053、rs2287074、rs3760776、rs3829251、rs6058017、rs74653330、rs8326、rs833061、rs10515552、rs10882272、rs11057830、rs11234027、rs1126643、rs12272004、rs1256062、rs12913832、rs1485766、rs1501299、rs1540771、rs17577、rs1799724、rs1800629、rs1993116、rs2010963、rs2060793、rs2227564、rs2228479、rs2232228、rs2282679、rs2298585、rs2987983、rs3785079、rs3865188、rs4065、rs41281112、rs4654748、rs4880、rs492602、rs7201、rs9340799、及びrs964184からなる群から選ばれる、請求項35に記載のプログラム。 The skin characteristics are skin color characteristics, and the SNPs are as follows: rs1030868, rs10741657, rs1107946, rs12785878, rs1799750, rs2046571, rs2241145, rs2246416, rs2285053, rs2287074, rs3760776, rs3829251, rs74658030, rs74653330, rs8326, rs833061, , Rs10882272, rs11057830, rs11234027, rs11226643, rs112662004, rs1256062, rs12913832, rs1485766, rs1501299, rs1540771, rs17577, rs1799724, rs1800629, rs1993116, rs2010963, rs2060793, rs2227564, rs2228479, rs2232228, rs228679, rs2232228, rs228679 36. The program of claim 35, selected from the group consisting of: rs41281112, rs4654748, rs4880, rs492602, rs7201, rs9340799, and rs964184.
- 肌の色特性が、肌の地色、紫外線曝露部の肌の色、シミ、明るさ及び黄色みからなる群から選ばれる、請求項40に記載のプログラム。 41. The program according to claim 40, wherein the skin color characteristic is selected from the group consisting of a skin color, a skin color of an ultraviolet-exposed area, a stain, brightness, and yellowness.
- 以下の:
rs1030868、rs1050565、rs10515552、rs10741657、rs11057830、rs1107946、rs1256062、rs12785878、rs12931267、rs1501299、rs17822931、rs1799750、rs1800414、rs1800629、rs2046571、rs2241145、rs2246416、rs2285053、rs2287074、rs2987983、rs3760776、rs3829251、rs6058017、rs74653330、rs7501331、rs8326、rs833061 rs11234027、rs16891982、rs17577、rs1799724、rs1800012、rs2010963、rs2108622、rs2232228、rs3785079、rs7799039、rs10882272、rs1485766、rs1540771、rs7201、rs964184、rs1993116、rs2060793、rs2282679、rs12272004、rs2227564、rs2298585、rs4065、rs4880、rs492602、rs12051272、rs1126643、rs2234693、rs3865188、rs11568737、rs1801133、rs2228479、rs41281112、rs1061622、rs8110862、rs9340799、rs12377462、rs1667255、rs12913832、及びrs4654748からなる群から選ばれる少なくとも1のSNPを検出するための核酸試薬を含む、肌特性の決定のためのキット。 below:
rs1030868, rs1050565, rs10515552, rs10741657, rs11057830, rs1107946, rs1256062, rs12785878, rs12931267, rs1501299, rs17822931, rs1799750, rs1800414, rs1800629, rs2046571, rs2241145, rs2246416, rs7983, rs7983, rs798 rs8326, rs833061 rs11234027, rs16891982, rs17577, rs1799724, rs1800012, rs2010963, rs2108622, rs2232228, rs3785079, rs7799039, rs10882272, rs1485766, rs1540771, rs7201, rs964184, rs1993116, rs2060793, rs2282679, rs5564 Rs12051272, rs1126643, rs2234693, rs3865188, rs11568737, rs1801133, rs2228479, rs41281112, rs1061622, rs8110862, rs9340799, rs12377462, rs1667255, rs12913832, and rs4654748 Kit for the determination of skin properties. - 前記キットが、さらに核酸抽出及び精製試薬を含む、請求項42に記載のキット。 43. The kit according to claim 42, wherein the kit further comprises a nucleic acid extraction and purification reagent.
- 前記核酸試薬が、SNPを選択的に増幅可能なプライマーであり、前記キットがさらに、ポリメラーゼ、dNTPを含む、請求項42又は43に記載のキット。 44. The kit according to claim 42 or 43, wherein the nucleic acid reagent is a primer capable of selectively amplifying SNP, and the kit further contains a polymerase and dNTP.
- 前記核酸試薬が、核酸プローブであり、前記キットがさらに、プローブ検出試薬を含む、請求項42又は43に記載のキット。 44. The kit according to claim 42 or 43, wherein the nucleic acid reagent is a nucleic acid probe, and the kit further comprises a probe detection reagent.
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JP2022105035A (en) | 2022-07-12 |
JP2021040626A (en) | 2021-03-18 |
JPWO2018101449A1 (en) | 2019-06-24 |
JP2024028854A (en) | 2024-03-05 |
JP7059332B2 (en) | 2022-04-25 |
JP6859363B2 (en) | 2021-04-14 |
TW201825685A (en) | 2018-07-16 |
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