CN109273051A - Identity information encoding model based on telomere length - Google Patents

Identity information encoding model based on telomere length Download PDF

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CN109273051A
CN109273051A CN201811001443.7A CN201811001443A CN109273051A CN 109273051 A CN109273051 A CN 109273051A CN 201811001443 A CN201811001443 A CN 201811001443A CN 109273051 A CN109273051 A CN 109273051A
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telomere
telomere length
sample
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CN109273051B (en
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夏茂
徐鑫
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    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
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    • G06T7/0012Biomedical image inspection
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
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Abstract

The invention belongs to information coding fields, and in particular to a kind of identity information encoding model based on telomere length.This model includes at least quiet code and dynamic code, in which: the quiet code includes the CC country code of subject, languages code and man face image acquiring sequence code;The dynamic code includes telomere information code, credit code and the healthy code of subject.Except this model is by information such as country, languages, recognitions of face essential to traditional identity information encoding model, it is embedded in the Cell Age and telomere length annual variation degree information of subject again, so that the information comparison that can be automated to specific sample area crowd even specific information people rapidly by the coding, final horizontal conducive to social holistic health is promoted.

Description

Identity information encoding model based on telomere length
Technical field
The invention belongs to information coding fields, and in particular to a kind of identity information encoding model based on telomere length.
Background technique
With the development of social science and technology, for people while increasingly paying attention to own health, these health and fitness informations are also just It is gradually combined with modern science and technology, to realize the in due course acquisition to own health information, assess and exchange, in order to pass through letter The digitization of breath targetedly to carry out later period improvement, the final whole healthy water for promoting society to the defects of health and fitness information It is flat.Telomere is located at the end of chromosome, for protecting end of chromosome from merging and degenerating, and prevents in fission process DNA fall off.After cell divides every time, telomere will shorten, because they are lost a part in each replicative cycle;When When telomere can not shorten again, cell has also just reached aging state;At this point, cell irreversibly stops dividing, and activate immediately Apoptosis mechanism, i.e. cell move towards apoptosis.The length of telomere is measured, the physiological age for knowing us that can be obvious.Whether can will hold Grain information is encoded, and in order to which it to be combined with common coding, and then can be obtained by the coding in information interchange The characteristic informations such as the physiological age of current information Man are obtained, in order to utilize the high efficiency of transmission and exchangeability of information flow, to realize Purpose is compared to the information-based of specific sample area crowd even specific information people, targetedly healthy defect improves effect for final realization Fruit, the technical problem urgently to be resolved in recent years for this field.
Summary of the invention
The purpose of the present invention is overcoming above-mentioned the deficiencies in the prior art, a kind of identity information volume based on telomere length is provided Code model, except the information such as country, languages, recognition of face essential to traditional identity information encoding model, then it is embedding The Cell Age and telomere length annual variation degree information for entering subject, so that can be rapidly to specific by the coding The information comparison that sample area crowd even specific information people is automated, it is final horizontal conducive to social holistic health is promoted.
To achieve the above object, the invention adopts the following technical scheme:
A kind of identity information encoding model based on telomere length, it is characterised in that: this model include at least quiet code and Dynamic code, in which:
The quiet code includes the CC country code of subject, languages code and man face image acquiring sequence code;
The dynamic code includes telomere information code, credit code and the healthy code of subject;The telomere information code is two Position, acquisition process the following steps are included:
1) length of the sample telomere of subject, is calculated;
2), sample database is established by the telomere length of the subject of existing all ages and classes, different sexes;
Sample database is divided into two groups by gender, first group is male, and second group is women;And x will be denoted as at the age0, Wherein The max age that can be survived for the theoretically mankind;Remember at this time
Organize data for male, applied statistics software to the sample telomere length of subject and corresponding subject age into Row regression analysis, obtains following formula:
TRF1=a1x0+b1
For women group data, applied statistics software to the sample telomere length of subject and corresponding subject age into Row regression analysis, obtains following formula:
TRF0=a0x0+b0
3) a telomere length detection, the telomere length difference of corresponding sample, were respectively carried out at subject t years old, t+k years old For TRF(t)、TRF(t+k), and sequentially execute following sub-step:
A, the Cell Age of sample is calculated
Cell Age CA at subject t+k years old(t+k)Are as follows:
B, the telomere length annual variation degree of sample is calculated
Subject is in t years old to t+k years old period telomere length annual variation degree Δt,kAre as follows:
C, the foundation of telomere information code
Note Gaussian function be Gauss (x)=be no more than x maximum integer;
Then m5It is no less than 0, the integer no more than 35;
Remember in min (x, y)=x and y compared with decimal;
Then m4It is no less than 0, the integer no more than 35;
Calculate m5And m4, then by m5And m4Numerical value be converted to three hexadecimal notations according to three hexadecimals, and press m5m4 Sequence be stitched together, then obtain two character strings, which is telomere information code.
Preferably, 1) in the step, the length for calculating the sample telomere of subject includes following sub-step:
A, it extracts 3~5ml of peripheral blood and is placed in 0.5mol/L EDTAK2In -20 DEG C of freezen protectives in anticoagulant centrifuge tube;
B, peripheral white blood cells genomic DNA is extracted using saturation phenol-chloroform method, chooses OD260/OD280 value between 1.8 It is used as laboratory sample between~2.0, the integrality of viewed under ultraviolet radiation DNA after 0.8% agarose gel electrophoresis;
C, using Roche Holding Ag telomere length detection kit Telo TAGGG Telomere Length Assay, gene Group DNA uses restriction enzyme Hinf I, Rsa I Double digestion 2h, will after 0.8% Ago-Gel 5V/cm electrophoresis 4h Gel denaturation neutralizes, and DNA is transferred on positively charged nylon membrane with siphon blotting, 120 DEG C of baking 20min;42 DEG C pre- miscellaneous After handing over 1h, the telomere probe hybridization 3h of digoxigenin labeled is added;Chemiluminescence development is carried out after washing film, gained X-ray film is close through light Scanning imagery is spent, is analyzed using Telomere length assay software Telomeric1.2, various kinds local terminal is calculated according to following equation Grain length:
Wherein LiFor i point marker length;
ODiFor the OD value of i point.
Preferably, the CC country code is two, quotes ISO 3166-1;Languages code is two, quotes ISO 693-1.
Preferably, man face image acquiring sequence code acquisition process includes following sub-step:
(1), time when subject acquires facial image, including time, month, date, clock and minute four are obtained Point;The units of every part must be mended with 0 into double figures to the left;
(2), four figures will be obtained after 2000 being subtracted in the time, the digit such as the four figures is insufficient, need to mend with 0 into four in left side Number;The four figures and month, date, clock and minute are arranged by former sequence;
(3), double figures serial number is filled into, so that 14 bit digitals be collectively formed with the tactic number of (2) sub-step;It is suitable Depending on serial number acquires the precedence and its gender of image within same minute according to subject;Specifically, subject if Male, then serial number last bit is odd number, and deficiency is double-digit to mend with 0 into double figures in left side;Subject is if women, then sequentially Number last bit is even number, insufficient double-digit to mend with 0 into double figures in left side;
(4), 14 bit digitals in (3) sub-step are subjected to three hexadecimal conversions, form nine man face image acquirings Sequence code, mending with 0 into nine in left side less than nine.
Preferably, the credit code is one, and healthy code is one, and forming step is as follows:
When subject's credit is divided into Cre and credit score full marks are Cremax;Subject's health is divided into Hea and health divides full marks For HeamaxWhen;
Note Gaussian function is the maximum integer of Gauss (x)=be no more than x, according to the following formula m out3
Again by m3Three hexadecimal notations are converted to according to three hexadecimals to get corresponding credit code;
And go out m according to the following formula2
Again by m2Three hexadecimal notations are converted to according to three hexadecimals to get corresponding healthy code.
Preferably, this model further includes for detecting static state after the quiet code and dynamic code sequentially arranged from left to right Whether code inputs wrong check code by mistake with dynamic code;The acquisition process of check code is as follows:
When dynamic code is all known with quiet code, it is set as
M18M17M16M15M14M13M12M11M10M9M8M7M6M5M4M3M2
Wherein MjRepresent character, 2≤j≤18;
Step1: according to three hexadecimal character conversion tables by MjReverse conversion is number mj
Step2: it is directed to each mj, weight ω is calculated as followsj:
ωj=mod (2j-1,37)
Wherein, mod (x, 37) indicates that integer x removes resulting remainder by 37;
Step3: m is calculated as follows1:
Step4: according to three hexadecimal character conversion tables by digital m1Be converted to character M1, the M1As check code.
The beneficial effects of the present invention are:
1), by the foundation of above-mentioned encoding model, thus by subject namely specific information people or subject population I.e. the mixed and disorderly raw information of sample area crowd carries out information-based combing, so realize to the person to person in the crowd of sample area it Between and specific information people the health data of specified age bracket comparison function.Even can by the foundation of database, thus The average value for obtaining today's society Cell Age at this time and telomere length annual variation degree, whenever there is new sample to enter Database, after being encoded its information, by two characters of telomere information code and above-mentioned Cell Age and telomere length Three hexadecimal characters after the average value conversion of annual variation degree compare, to judge the affiliated people of current sample That is the aging degree and energy level of subject, in order to decide whether need to targetedly to carry out later period maintenance and exercise.Due to Such encoding model is the character code of pure informationization, therefore can even be applied to it on block chain, to become block chain The basis of BaaS platform, can finally rely on BaaS platform and realize the different people even facilitation of the information interchange of different crowd and Efficient function.
Detailed description of the invention
Fig. 1 is model layout's table of comparisons of the invention;
Fig. 2 is three hexadecimal numbers and character reference table;
Fig. 3 is required corresponding 14 bit digital sequence list when man face image acquiring sequence code calculates.
Specific embodiment
For ease of understanding, here in connection with Fig. 1-3, specific structure and working method of the invention are retouched further below It states:
A kind of identity information encoding model based on telomere length, as shown in Figure 1, quiet including sequentially arranging from left to right State code, dynamic code and check code, in which:
Quiet code includes the CC country code of subject, languages code and man face image acquiring sequence code;Wherein:
CC country code is two, quotes ISO 3166-1;Languages code is two, quotes ISO 693-1.And when specific operation, It is contemplated that the time (being accurate to minute) when man face image acquiring sequence code acquires facial image according to subject adds most end two Assigned code is formed.Man face image acquiring sequence code acquisition process the following steps are included:
1) time when subject acquires facial image, need to be first obtained, usually Beijing time;Including time, month, day Phase, clock and minute, units must be mended with 0 into double figures in left side.
2) gained four figures after, subtracting 2000 in the time, digit deficiency are mended with 0 at four figures, then by itself and the moon in left side Part, date, clock and minute are arranged by former sequence.
3) double figures serial number, is filled into, to form 14 numbers, as shown in Figure 3.Serial number is according to subject same Depending on the precedence and its gender that acquire image in one minute, therefore it can also take the circumstances into consideration to increase serial number in subsequent use Digit.By taking two serial numbers as an example: subject is if male, then serial number last bit is odd number, it is insufficient it is double-digit in left side with 0 Mend into double figures, i.e. certain time point 01 is the 1st male for acquiring image, and 03 acquires the male of image for the 2nd, and so on. Subject is if women, then serial number last bit is even number, and deficiency is double-digit to mend with 0 into double figures in left side, i.e. certain time point 00 The women of image is acquired for the 1st, 02 acquires the women of image for the 2nd, and so on.Such as certain subject is 2018 7 45 divide the 22nd women gathered person when the moon 1 day 23, and corresponding 14 bit digital is 00180701234542.This is in fact just similar In identification card number, five to ten two reciprocal are the date of birth, and it is gender number that inverse one, which arrives four fundamental rules,.
4) 3), 14 bit digitals in formed after three hexadecimal conversions nine man face image acquiring sequence codes, no Nine, foot is mended with 0 into nine in left side.
Dynamic code includes telomere information code, credit code and the healthy code of subject.
The credit code is one, and credit is divided into the prior art, and the existing third party technology of application can get in other words, is obtained Corresponding credit is divided into Cre (CremaxDivide system, i.e. credit score full marks are Cremax);
Note Gaussian function is the maximum integer of Gauss (x)=be no more than x, according to the following formula m out3:
Again by m3Three hexadecimal notations are converted to according to three hexadecimals to get corresponding credit code.
The health code is one, and health point is similarly the prior art, and the existing third party technology of application can get in other words, It obtains corresponding health and is divided into Hea (HeamaxDivide system, i.e. health divides full marks to be Heamax);
Go out m according to the following formula2:
Again by m2Three hexadecimal notations are converted to according to three hexadecimals to get corresponding healthy code.
And the telomere information code be two, acquisition process the following steps are included:
1) length of the sample telomere of subject, including following sub-step, are calculated:
A, it extracts 3~5ml of peripheral blood and is placed in 0.5mol/L EDTAK2In -20 DEG C of freezen protectives in anticoagulant centrifuge tube;
B, peripheral white blood cells genomic DNA is extracted using saturation phenol-chloroform method, chooses OD260/OD280 value between 1.8 It is used as laboratory sample between~2.0, the integrality of viewed under ultraviolet radiation DNA after 0.8% agarose gel electrophoresis;
C, using Roche Holding Ag telomere length detection kit Telo TAGGG Telomere Length Assay, gene Group DNA uses restriction enzyme Hinf I, Rsa I Double digestion 2h, will after 0.8% Ago-Gel 5V/cm electrophoresis 4h Gel denaturation neutralizes, and DNA is transferred on positively charged nylon membrane with siphon blotting, 120 DEG C of baking 20min;42 DEG C pre- miscellaneous After handing over 1h, the telomere probe hybridization 3h of digoxigenin labeled is added;Chemiluminescence development is carried out after washing film, gained X-ray film is close through light Scanning imagery is spent, is analyzed using Telomere length assay software Telomeric1.2, various kinds local terminal is calculated according to following equation Grain length:
Wherein LiFor i point marker length;
ODiFor the OD value of i point.
2), sample database is established by the telomere length of the subject of existing all ages and classes, different sexes;
Sample database is divided into two groups by gender, first group is male, and second group is women;And x will be denoted as at the age0, Wherein The max age that can be survived for the theoretically mankind;Remember at this time
Organize data for male, applied statistics software to the sample telomere length of subject and corresponding subject age into Row regression analysis, obtains following formula:
TRF1=a1x0+b1
For women group data, applied statistics software to the sample telomere length of subject and corresponding subject age into Row regression analysis, obtains following formula:
TRF0=a0x0+b0
3) a telomere length detection, the telomere length difference of corresponding sample, were respectively carried out at subject t years old, t+k years old For TRF(t)、TRF(t+k), and sequentially execute following sub-step:
A, the Cell Age of sample is calculated
Cell Age CA at subject t+k years old(t+k)Are as follows:
When practical calculating, if CA(t+k)≤ t+k, i.e. Cell Age are smaller than actual age, it is meant that subject is in cell level On than contemporary youth, i.e., subject is more more vibrant than contemporary.And if CA(t+k)> t+k, i.e. Cell Age are bigger than actual age, Mean that subject is more old than contemporary in " cell level ", i.e., subject does not have contemporary vibrant, needs to consider at this time Targetedly raise and the later period takes exercise, it is expected the Cell Age CA when testing next time(t+k)Value can be less than as far as possible Or it is equal to current age value.
B, the telomere length annual variation degree of sample is calculated
Subject is in t years old to t+k years old period telomere length annual variation degree Δt,kAre as follows:
When practical calculating, if | Δt,k| numerical value is bigger, and the rate for showing that telomere shortens is faster, with showing subject's aging more Fastly.And if | Δt,k|≤|Δt,0|, then show that subject obtains slowly than contemporary aging, otherwise shows that subject declines than contemporary It is old fastly.By subject in t years old to t+k years old period telomere length annual variation degree Δt,k, also can determine that subject is No needs take into account that row is targetedly raised and the later period takes exercise, and are shortened rate with reducing telomere.
C, the foundation of telomere information code
Note
Then m5It is no less than 0, the integer no more than 35;
Remember in min (x, y)=x and y compared with decimal;
Then m4It is no less than 0, the integer no more than 35.
Calculate m5And m4, then by m5And m4Numerical value be converted to three hexadecimal notations according to three hexadecimals, and press m5m4 Sequence be stitched together, then obtain two character strings, which is telomere information code.
When being interpreted to telomere information code, if first character position in three hexadecimal character conversion tables is more forward (m in other words5Numerical value is smaller), then show that testee's cell viability is better (testee's cell gets over " youth " in other words);If the Two characters more forward (m in other words in position in three hexadecimal character conversion tables4Numerical value is smaller), show that testee's aging obtains It is slower.
The acquisition process of check code is as follows:
Since dynamic code at this time is all known with quiet code, namely the 2nd~17 of number from right to left as shown in Figure 1 It has been known that, be at this time set as 2~17 bit digital:
M18M17M16M15M14M13M12M11M10M9M8M7M6M5M4M3M2
Wherein MjRepresent character, 2≤j≤18;
Step1: according to three hexadecimal character conversion tables by MjReverse conversion is number mj
Step2: it is directed to each mj, weight ω is calculated as followsj:
ωj=mod (2j-1,37)
Wherein, mod (x, 37) indicates that integer x removes resulting remainder by 37;
Step3: m is calculated as follows1:
Step4: according to three hexadecimal character conversion tables by digital m1Be converted to character M1, the M1As check code.
To provide following specific embodiments herein convenient for further understanding the present invention:
Embodiment 1:
Subject's first, male, nationality are China, and mother tongue is Chinese, and man face image acquiring is May 12 2017 Beijing time 8 divide when 9, are the 14th male gathered persons of the time point.The telomere length measured at 45 years old is 11.59kb, is measured within 47 years old Telomere length be 11.45kb.The credit of first is divided into 85 (hundred-mark system) at 47 years old, and health is divided into 76.3 (hundred-mark system).
According to the present invention each step and obtain:
CC country code is CN;
Languages code is ZH;
14 bit digitals that image capture sequence code calculates in step are 00170512090827, and corresponding Image Acquisition is suitable Sequence code is 026BYHVBF;
Telomere code calculates the m in step5=10, m4=16, corresponding telomere code is AG;
Credit code calculates the m in step3=30, corresponding credit code is U;
Healthy code calculates the m in step2=27, corresponding credit code is R;
Check code calculates the m in step1=26, corresponding check code is Q;
And then obtaining all-key of the first at 47 years old is CNZH026BYHVBFAGURQ.
If the all-key for inputting first in systems is CNZH2LSBKYOZFAGURQ, system is according to check code computation rule First 17 of the all-key are calculated, obtain verification code bit should be U, it is different from Q, system can then prompt to input it is wrong, thus Realize verifying function.
Embodiment 2:
Subject's second, nationality are Canada, and mother tongue is English, and man face image acquiring is 1 day 23 July of 2018 Beijing time When 45 divide, be the 22nd women gathered person of the time point.The telomere length measured at 44 years old is 12.03kb, is measured within 46 years old Telomere length be 11.66kb.The credit of first is divided into 79 (hundred-mark system) at 47 years old, and health is divided into 90 (hundred-mark system).
According to the present invention each step and obtain:
CC country code is CA;
Languages code is EN;
14 bit digitals that image capture sequence code calculates in step are 00180701234542, and corresponding Image Acquisition is suitable Sequence code is 02B0GUKXA;
Telomere code calculates the m in step5=9, m4=35, corresponding telomere code is 9Z;
Credit code calculates the m in step3=28, corresponding credit code is S;
Healthy code calculates the m in step2=32, corresponding credit code is W;
Check code calculates the m in step1=12, corresponding check code is C;
And then obtaining all-key of the first at 47 years old is CAEN02B0GUKXA9ZSWC.
If the all-key for inputting first in systems is CAEM02B0GUKXA9ZSWC, system is according to check code computation rule First 17 of the all-key are calculated, obtain verification code bit should be G, it is different from C, system can then prompt to input it is wrong, thus Realize verifying function.
Embodiment 3 (when telomere information code and credit code being used only in dynamic code, and being free of healthy code):
Subject's first, male, nationality are China, and mother tongue is Chinese, and man face image acquiring is May 12 2017 Beijing time 8 divide when 9, are the 14th male gathered persons of the time point.The telomere length measured at 45 years old is 11.59kb, is measured within 47 years old Telomere length be 11.45kb.The credit of first is divided into 85 (hundred-mark system) at 47 years old.
According to the present invention each step and obtain:
CC country code is CN;
Languages code is ZH;
14 bit digitals that image capture sequence code calculates in step are 00170512090827, and corresponding Image Acquisition is suitable Sequence code is 026BYHVBF;
Telomere code calculates the m in step5=10, m4=16, corresponding telomere code is AG;
Credit code calculates the m in step3=30, corresponding credit code is U;
Check code calculates the m in step1=4, corresponding check code is 4;
And then obtaining all-key of the first at 47 years old is CNZH026BYHVBFAGU4.
If the all-key for inputting first in systems is CNZH27TZUL37AGU4, system is according to check code computation rule pair First 16 of the all-key are calculated, obtain verification code bit should be O, it is different from 4, system can then prompt to input it is wrong, thus reality Existing verifying function.
Embodiment 4 (when telomere information code and healthy code being used only in dynamic code, and being free of credit code):
Subject's first, male, nationality are China, and mother tongue is Chinese, and man face image acquiring is May 12 2017 Beijing time It is the 14th male gathered person of the time point when 9.The telomere length measured at 45 years old is 11.59kb, the end measured for 47 years old Grain length is 11.45kb.The health of first is divided into 76.3 (hundred-mark system) at 47 years old.
According to the present invention each step and obtain:
CC country code is CN;
Languages code is ZH;
11 bit digitals that image capture sequence code calculates in step are 00170512090827, and corresponding Image Acquisition is suitable Sequence code is 026BYHVBF;
Telomere code calculates the m in step5=10, m4=16, corresponding telomere code is AG;
Healthy code calculates the m in step2=27, corresponding credit code is R;
Check code calculates the m in step1=34, corresponding check code is Y;
And then obtaining all-key of the first at 47 years old is CNZH026BYHVBFAGRY.
If the all-key for inputting first in systems is CNZH27TZUL37AGRY, system is according to check code computation rule pair First 16 of the all-key are calculated, obtain verification code bit should be I, it is different from Y, system can then prompt to input it is wrong, thus reality Existing verifying function.

Claims (6)

1. a kind of identity information encoding model based on telomere length, it is characterised in that: this model includes at least quiet code and moves State code, in which:
The quiet code includes the CC country code of subject, languages code and man face image acquiring sequence code;
The dynamic code includes telomere information code, credit code and the healthy code of subject;The telomere information code is two, is obtained Take process the following steps are included:
1) length of the sample telomere of subject, is calculated;
2), sample database is established by the telomere length of the subject of existing all ages and classes, different sexes;
Sample database is divided into two groups by gender, first group is male, and second group is women;And x will be denoted as at the age0, wherein The max age that can be survived for the theoretically mankind;Remember at this time
Data are organized for male, applied statistics software returns the sample telomere length of subject with corresponding subject age Return analysis, obtain following formula:
TRF1=a1x0+b1
For women group data, applied statistics software returns the sample telomere length of subject with corresponding subject age Return analysis, obtain following formula:
TRF0=a0x0+b0
3) a telomere length detection, was respectively carried out at subject t years old, t+k years old, the telomere length of corresponding sample is respectively TRF(t)、TRF(t+k), and sequentially execute following sub-step:
A, the Cell Age of sample is calculated
Cell Age CA at subject t+k years old(t+k)Are as follows:
B, the telomere length annual variation degree of sample is calculated
Subject is in t years old to t+k years old period telomere length annual variation degree Δt,kAre as follows:
C, the foundation of telomere information code
Note Gaussian function be Gauss (x)=be no more than x maximum integer;
Then m5It is no less than 0, the integer no more than 35;
Remember in min (x, y)=x and y compared with decimal;
Then m4It is no less than 0, the integer no more than 35;
Calculate m5And m4, then by m5And m4Numerical value be converted to three hexadecimal notations according to three hexadecimals, and press m5m4It is suitable Sequence is stitched together, then obtains two character strings, which is telomere information code.
2. a kind of identity information encoding model based on telomere length according to claim 1, it is characterised in that: it is described 1) In step, the length for calculating the sample telomere of subject includes following sub-step:
A, it extracts 3~5ml of peripheral blood and is placed in 0.5mol/L EDTAK2In -20 DEG C of freezen protectives in anticoagulant centrifuge tube;
B, peripheral white blood cells genomic DNA is extracted using saturation phenol-chloroform method, choose OD260/OD280 value between 1.8~ It is used as laboratory sample between 2.0, the integrality of viewed under ultraviolet radiation DNA after 0.8% agarose gel electrophoresis;
C, using Roche Holding Ag telomere length detection kit Telo TAGGG Telomere Length Assay, genome DNA will be coagulated after 0.8% Ago-Gel 5V/cm electrophoresis 4h using restriction enzyme Hinf I, Rsa I Double digestion 2h Glue denaturation neutralizes, and DNA is transferred on positively charged nylon membrane with siphon blotting, 120 DEG C of baking 20min;42 DEG C of prehybridizations After 1h, the telomere probe hybridization 3h of digoxigenin labeled is added;Chemiluminescence development is carried out after washing film, gained X-ray film is through optical density Scanning imagery is analyzed using Telomere length assay software Telomeric1.2, calculates this telomere of various kinds according to following equation Length:
Wherein LiFor i point marker length;
ODiFor the OD value of i point.
3. a kind of identity information encoding model based on telomere length according to claim 1, it is characterised in that: the state Other code is two, quotes ISO 3166-1;Languages code is two, quotes ISO 693-1.
4. a kind of identity information encoding model based on telomere length according to claim 1 or 2 or 3, it is characterised in that: Man face image acquiring sequence code acquisition process includes following sub-step:
(1), time when subject acquires facial image, including time, month, five part of date, clock and minute are obtained;Often Partial units must be mended with 0 into double figures to the left;
(2), four figures will be obtained after 2000 being subtracted in the time, the digit such as the four figures is insufficient, need to mend with 0 into four figures in left side; The four figures and month, date, clock and minute are arranged by former sequence;
(3), double figures serial number is filled into, so that 14 bit digitals be collectively formed with the tactic number of (2) sub-step;Serial number Depending on acquiring the precedence and its gender of image within same minute according to subject;Specifically, subject is if male, Then serial number last bit is odd number, and deficiency is double-digit to mend with 0 into double figures in left side;Subject is if women, then serial number is last Position is even number, and deficiency is double-digit to mend with 0 into double figures in left side;
(4), 14 bit digitals in (3) sub-step are subjected to three hexadecimal conversions, form nine man face image acquiring sequences Code, mending with 0 into nine in left side less than nine.
5. a kind of identity information encoding model based on telomere length according to claim 4, it is characterised in that: the letter It is one with code, healthy code is one, and forming step is as follows:
When subject's credit is divided into Cre and credit score full marks are Cremax;Subject's health is divided into Hea and health divides the full marks to be HeamaxWhen;
Note Gaussian function is the maximum integer of Gauss (x)=be no more than x, according to the following formula m out3
Again by m3Three hexadecimal notations are converted to according to three hexadecimals to get corresponding credit code;
And go out m according to the following formula2
Again by m2Three hexadecimal notations are converted to according to three hexadecimals to get corresponding healthy code.
6. a kind of identity information encoding model based on telomere length according to claim 4, it is characterised in that: this model It further include whether having been inputed by mistake for detecting quiet code with dynamic code after the quiet code and dynamic code sequentially arranged from left to right Check code accidentally;The acquisition process of check code is as follows:
When dynamic code is all known with quiet code, it is set as
M18M17M16M15M14M13M12M11M10M9M8M7M6M5M4M3M2
Wherein MjRepresent character, 2≤j≤18;
Step1: according to three hexadecimal character conversion tables by MjReverse conversion is number mj
Step2: it is directed to each mj, weight ω is calculated as followsj:
ωj=mod (2j-1,37)
Wherein, mod (x, 37) indicates that integer x removes resulting remainder by 37;
Step3: m is calculated as follows1:
Step4: according to three hexadecimal character conversion tables by digital m1Be converted to character M1, the M1As check code.
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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110334260A (en) * 2019-06-03 2019-10-15 平安科技(深圳)有限公司 Data analysing method, device, computer equipment and storage medium
CN110408684A (en) * 2019-08-22 2019-11-05 陕西九州医学检验有限公司 A kind of telomere length detection kit and method and biological age evaluation method
CN110974177A (en) * 2019-12-23 2020-04-10 南昌五元生物科技有限公司 Biological age calculation method and system based on telomere length

Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1306266A (en) * 2001-02-26 2001-08-01 华西医科大学法医学院 Gene identity card and its preparing process
CN102592158A (en) * 2011-01-11 2012-07-18 郝明学 Identity card coding method for global pets and other artificial fed animals
CN102618633A (en) * 2012-02-03 2012-08-01 常州亚当生物技术有限公司 Method for detecting length of the shortest telomere in cells by using improved STELA method
CN103233071A (en) * 2013-04-27 2013-08-07 南京优而生物科技发展有限公司 Method for measuring telomere absolute length
CN103412854A (en) * 2013-08-01 2013-11-27 汪风珍 Chinese identity card number coding system
CN103413221A (en) * 2012-07-01 2013-11-27 宾劲松 Member coding method with identity feature identification and application thereof
CN104694641A (en) * 2015-02-13 2015-06-10 冯文峰 Method for predicating gene age and disease susceptibility and kit
CN104769134A (en) * 2012-09-11 2015-07-08 赛拉诺斯股份有限公司 Information management systems and methods using a biological signature
CN104899521A (en) * 2015-06-08 2015-09-09 深圳市华傲数据技术有限公司 Methods for bleaching and reverse bleaching of 18-bits identity card number
CN105184083A (en) * 2015-09-14 2015-12-23 南京延长科技有限公司 Digital identity code used for medical instrument whole-process quality tracing and coding method thereof
CN106548435A (en) * 2015-09-22 2017-03-29 联邦应用基因股份有限公司 Cell Age analytical integration system
CN106755429A (en) * 2016-12-27 2017-05-31 上海三誉生物科技有限公司 A kind of method of accurate measurement crowd telomere length
CN107058591A (en) * 2017-06-16 2017-08-18 张晓� Telomere length detection method and kit

Patent Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1306266A (en) * 2001-02-26 2001-08-01 华西医科大学法医学院 Gene identity card and its preparing process
CN102592158A (en) * 2011-01-11 2012-07-18 郝明学 Identity card coding method for global pets and other artificial fed animals
CN102618633A (en) * 2012-02-03 2012-08-01 常州亚当生物技术有限公司 Method for detecting length of the shortest telomere in cells by using improved STELA method
CN103413221A (en) * 2012-07-01 2013-11-27 宾劲松 Member coding method with identity feature identification and application thereof
CN104769134A (en) * 2012-09-11 2015-07-08 赛拉诺斯股份有限公司 Information management systems and methods using a biological signature
CN103233071A (en) * 2013-04-27 2013-08-07 南京优而生物科技发展有限公司 Method for measuring telomere absolute length
CN103412854A (en) * 2013-08-01 2013-11-27 汪风珍 Chinese identity card number coding system
CN104694641A (en) * 2015-02-13 2015-06-10 冯文峰 Method for predicating gene age and disease susceptibility and kit
CN104899521A (en) * 2015-06-08 2015-09-09 深圳市华傲数据技术有限公司 Methods for bleaching and reverse bleaching of 18-bits identity card number
CN105184083A (en) * 2015-09-14 2015-12-23 南京延长科技有限公司 Digital identity code used for medical instrument whole-process quality tracing and coding method thereof
CN106548435A (en) * 2015-09-22 2017-03-29 联邦应用基因股份有限公司 Cell Age analytical integration system
CN106755429A (en) * 2016-12-27 2017-05-31 上海三誉生物科技有限公司 A kind of method of accurate measurement crowd telomere length
CN107058591A (en) * 2017-06-16 2017-08-18 张晓� Telomere length detection method and kit

Non-Patent Citations (5)

* Cited by examiner, † Cited by third party
Title
FU REN 等: ""Estimation of Human Age According to Telomere Shortening in Peripheral Blood Leukocytes of Tibetan"", 《RESEARCHGATE》 *
LELE-KELE: ""Telo TAGGG Telomere Length Assay"", 《豆丁网》 *
NURUL FATIHAH MOHAMAD NASIR 等: ""The relationship between telomere length and beekeeping among Malaysians"", 《SPRINGER》 *
任甫 等: ""人外周血白细胞端粒DNA长度与年龄的定量关系"", 《中国法医学杂志》 *
薄云峰: ""人外周血白细胞端粒DNA长度与年龄相关性的法医学应用研究"", 《万方数据知识服务平台》 *

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110334260A (en) * 2019-06-03 2019-10-15 平安科技(深圳)有限公司 Data analysing method, device, computer equipment and storage medium
CN110334260B (en) * 2019-06-03 2024-05-07 平安科技(深圳)有限公司 Data analysis method, device, computer equipment and storage medium
CN110408684A (en) * 2019-08-22 2019-11-05 陕西九州医学检验有限公司 A kind of telomere length detection kit and method and biological age evaluation method
CN110974177A (en) * 2019-12-23 2020-04-10 南昌五元生物科技有限公司 Biological age calculation method and system based on telomere length
CN110974177B (en) * 2019-12-23 2022-09-09 南昌五元生物科技有限公司 Biological age calculation method and system based on telomere length

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