CN101838686A - Genetic relationship identification device and method - Google Patents

Genetic relationship identification device and method Download PDF

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Publication number
CN101838686A
CN101838686A CN200910241903A CN200910241903A CN101838686A CN 101838686 A CN101838686 A CN 101838686A CN 200910241903 A CN200910241903 A CN 200910241903A CN 200910241903 A CN200910241903 A CN 200910241903A CN 101838686 A CN101838686 A CN 101838686A
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data
sibship
database table
module
individualities
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CN101838686B (en
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郭燕霞
李万水
陈松
康艳荣
张国臣
刘开会
郝金萍
郭红玲
裴黎
刘路
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Institute of Forensic Science Ministry of Public Security PRC
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Institute of Forensic Science Ministry of Public Security PRC
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Abstract

The embodiment of the invention discloses a genetic relationship identification device and a method. The genetic relationship identification device comprises a data reading module, a database table, a data analysis module and a result inquiry module, wherein the data reading module is used for reading data required to carry out genetic relationship analysis; the database table is used for storing data read by the data reading module; the data analysis module is used for calculating the parentage index of the genetic relationship of two bodies according to the data stored by the database table and storing the calculation result into the database table; and the result inquiry module is used for inquiring the calculation result stored in the database table by the data analysis module. The invention can solve the problem of complex calculation by a manual mode in the prior art and can greatly improve data reliability and accuracy.

Description

Genetic relationship identification device and method
Technical field
The present invention relates to the DNA inspection technology, be specifically related to a kind of genetic relationship identification device and method.
Background technology
Individual recognition has very important effect in forensic medical examination.In daily check case,,, be one of vital task of forensic medical examination according to the sibship between DNA assay judgement individuality based on mendelian inheritance.But, in some cases, may exist party concerned's father and mother to die or its father and mother situation that can not participate in checking for a certain reason, in this case, the party concerned can require to carry out the evaluation with the intercellular sibship; Perhaps, when in some case, a large amount of suspects and evidence at the scene being investigated comparison, when having got rid of the single amphilepsis of direct identification and concern, need utilize the DNA check further analyze deduction its with the intercellular sibship, further to investigate comparison.At present method medical circles are theoretical basis with the ITO method usually, utilize euchromosome (STR) locus somatotype is carried out evaluation with the intercellular sibship.In the prior art, generally adopt manual type to utilize formula to calculate one by one to each locus.But manual type is calculated numerous and diverse, wastes time and energy, and can not guarantee the reliability and the tolerance range of data.
Summary of the invention
In view of this, embodiments of the invention have proposed a kind of genetic relationship identification device and method, calculate numerous and diverse and can not guarantee the reliability of data and the problem of tolerance range to solve the available technology adopting manual type.
Embodiments of the invention have proposed a kind of genetic relationship identification device, comprise data read module, database table, data analysis module and result queries module;
Described data read module is used to read the data that need carry out the sibship analysis;
Described database table is used to preserve the data that described data read module reads;
Described data analysis module is used for the paternity index according to sibship between data computation two individualities of described database table preservation, and calculation result is saved in the described database table;
Described result queries module is used for described data analysis module is kept at the calculation result of database table and inquires about.
Embodiments of the invention have also proposed a kind of sibship authentication method, comprise
Read and to carry out the data that sibship is analyzed;
Paternity index according to sibship between described data computation two individualities;
Inquiry calculation result.。
From technique scheme as can be seen, utilize genetic relationship identification device that the embodiment of the invention provides and method can calculate sibship chance between two individualities, numerous and diverse sibship is calculated become simple data processing, improved the reliability and the tolerance range of data greatly.
Description of drawings
In order to be illustrated more clearly in the embodiment of the invention or technical scheme of the prior art, will simply introduce the accompanying drawing of required use in embodiment or the description of the Prior Art below.Apparently, the accompanying drawing in describing below only is some embodiments of the present invention, for those of ordinary skills, under the prerequisite of not paying creative work, can also obtain other accompanying drawing according to these accompanying drawings.
Fig. 1 is the genetic relationship identification device of one embodiment of the invention;
Fig. 2 is the sibship authentication method of one embodiment of the invention.
Embodiment
For making the purpose, technical solutions and advantages of the present invention express clearlyer,, the technical scheme of the embodiment of the invention is clearly and completely described below in conjunction with accompanying drawing.Obviously, described embodiment only is the present invention's part embodiment, rather than whole embodiment.The present invention can also show as different forms, therefore the embodiment that is not limited in this explanation.Based on embodiments of the invention, all other embodiment that those of ordinary skills are obtained under the prerequisite of not making creative work belong to the scope of protection of the invention.
Fig. 1 is the genetic relationship identification device of one embodiment of the invention.As shown in Figure 1, this genetic relationship identification device 10 comprises: data read module 11, database table 12, data analysis module 13 and result queries module 14.
Data read module 11 is used to read the data that need carry out the sibship analysis.Described data can be the data that data read module 11 reads from the file of the DAT form of genetic analysis instrument automatically, also can be that the user that data read module 11 reads passes through the manually data of input of inputting interface.Wherein, the file of DAT form is formed by detecting the resultant result of sample to be analyzed by the genetic analysis instrument.
Database table 12 is used to preserve the data that data read module 11 reads.Data read module 11 further can be used for the data that are saved in the database table 12 are made amendment and deletion action, also the data that newly read can be added in the database table 12.
The paternity index of sibship between data computation two individualities that data analysis module 13 is used for preserving according to database table 12.In the present embodiment, described sibship is meant sibship.Particularly, this data analysis module 13 calculates principle at PCR-STR somatotype result according to EssenMoller, uses the ITO algorithm, sibship indices P I between any two individualities in the table 12 of data calculated storehouse FS, and according to formula W FS=PI FS/ (PI FS+ 1) calculates the sibship probability, add up gene number total between two individualities, promptly two contrast the individual mutually homoallelic numbers that had, and analyze complete different, the half-phase of the individual same locus allelotrope of per two contrasts with complete identical situation, and analytical results is saved in the database table.
In addition, in order to improve precision of analysis, present embodiment adopts the thinking of " entirely than ", promptly, new each data of adding of 13 pairs of data read modules of data analysis module 11 all with database table 12 in all data carry out calculation of correlation, and calculation result is saved in the database table.
Result queries module 14 is used for data analysis module 13 is kept at the calculation result of database table 12 and inquires about.Particularly, result queries module 14 can be inquired about the relative chance of patriarchy (RCP) between any two samples, parental right relational index data such as (PI) in the database table; Also can screen the data such as RCP, PI that satisfy the preset threshold value condition, for example, can the Query Database table in the calculation result of RCP>0.999.
In the present embodiment, data analysis module 13 also can be used to calculate the prediction error rate under the different dividing values further, is promptly begun to calculate by the dividing value that produces minimum prediction error rate, calculates different W FSError rate under the dividing value surpasses 1% until error rate and ends.
According to above-mentioned genetic relationship identification device, the embodiment of the invention has also proposed a kind of sibship authentication method, as shown in Figure 2.This sibship authentication method may further comprise the steps:
Step 21: read and to carry out the data that sibship is analyzed.Described data can be the data that read automatically from the file of the DAT form of genetic analysis instrument, also can be that the user passes through the manually data of input of inputting interface.Wherein, the file of DAT form is formed by detecting the resultant result of sample to be analyzed by the genetic analysis instrument.The data that read are stored in the database table that sets in advance.
In the present embodiment, can also make amendment and deletion action, also the data that newly read can be added in the database table the data that are saved in the database table.
Step 22: according to the paternity index of sibship between data computation two individualities of preserving in the database table.In the present embodiment, described sibship is meant sibship.Particularly, this step comprises: at PCR-STR somatotype result, calculate principle according to EssenMoller, use the ITO algorithm, sibship indices P I between any two individualities in the table 12 of data calculated storehouse FS, and according to formula W FS=PI FS/ (PI FS+ 1) calculates the sibship probability, add up gene number total between two individualities, promptly two contrast the individual mutually homoallelic numbers that have, and analyze complete different, the half-phase of the individual same locus allelotrope of per two contrasts with complete identical situation, and analytical results is saved in the database table.
In addition, in order to improve precision of analysis, present embodiment can also to the data of each new interpolation all with database table in all data carry out calculation of correlation, and calculation result is saved in the database table.
Step 23: inquiry calculation result.Particularly, can inquire about the data such as RCP, PI between any two samples in the database table; Also can screen the data such as RCP, PI that satisfy certain threshold condition, for example, can the Query Database table in the calculation result of RCP>0.999.
With Identifiler system commonly used in the daily inspection case 151 pairs of compatriot's individualities and 31224 pairs of irrelevant individual euchromosome (STR) locus are carried out the somatotype detection below, and calculate PI value and W with the apparatus and method that the embodiment of the invention is described FSThe present invention is further described for example.
In this specific embodiment, the W that data analysis module 13 calculates FSIndividuality born of the same parents greater than 99.999% accounts for 39.07%, irrelevant individual W FSGreater than 99.999% account for 0%.Two groups of data have significant difference, can infer between two individualities to have sibship thus.W when data analysis module 13 calculating FSLess than 1% o'clock, can infer do not have sibship between two individualities.W when data analysis module 13 calculating FSIn the time of in 1% to 99.999% scope, individuality born of the same parents and irrelevant individuality overlap, and in this specific embodiment, individuality born of the same parents accounts for 60.93%, and irrelevant individuality accounts for 21.3%, and both have certain difference.For W FSSibship in this scope is identified, can detect the str locus seat by increasing, and adds in conjunction with actual merit and be Y-STR, mtDNA and detect, and makes its W FSNo longer overlapping or how valuable information is provided, to infer whether have sibship between two individualities.
In the present embodiment, difference, half-phase are as shown in table 1 with the result that complete identical situation is analyzed together entirely for the individual same locus allelotrope of 13 pairs of per two contrasts of data analysis module.
Figure G2009102419038D00051
Since between individuality allelic match condition with whether have sibship and have certain getting in touch, when promptly complete identical the or complete different number of two individual allelotrope reached a certain dividing value, it was individual or irrelevant individual to prompt for the compatriot.In the present embodiment, begin to calculate, calculate the error rate under the different dividing values, surpass 1% up to error rate and end by the dividing value that produces minimum prediction error rate.So, detect 15 str locus seats of Identifiler system, when two individual full similar numbers more than or equal to 5 the time, or complete different number is less than or equal at 1 o'clock, it is individual to prompt for the compatriot; When two individual complete different numbers more than or equal to 6 the time, or full similar number is less than or equal at 1 o'clock, prompts for irrelevant individually, as shown in table 2, this dividing value can be used for prediction and whether has sibship.
Figure G2009102419038D00061
Genetic relationship identification device and the method for utilizing this embodiment to provide can be calculated the sibship chance between two individualities, as determining whether two individualities are sibship.These apparatus and method make numerous and diverse sibship calculating become simple data processing, have improved the reliability and the tolerance range of data greatly.
It should be understood that the above only is part embodiment of the present invention, the present invention is not limited thereto.Based on the embodiment among the present invention, those of ordinary skills belong to the scope of protection of the invention not making under the creative work prerequisite by revising, be equal to, substituting the every other embodiment that is obtained.

Claims (12)

1. a genetic relationship identification device is characterized in that, comprises data read module, database table, data analysis module and result queries module;
Described data read module is used to read the data that need carry out the sibship analysis;
Described database table is used to preserve the data that described data read module reads;
Described data analysis module is used for the paternity index according to sibship between data computation two individualities of described database table preservation, and calculation result is saved in the described database table;
Described result queries module is used for described data analysis module is kept at the calculation result of database table and inquires about.
2. genetic relationship identification device according to claim 1 is characterized in that, described data read module is used for from the automatic reading of data of the file of the DAT form of genetic analysis instrument, or is used to read the data that the user manually imports by inputting interface.
3. relationship identification apparatus according to claim 1 and 2, it is characterized in that, described data read module is further used for the data that are saved in the described database table are made amendment and deletion action, also the data that newly read can be added in the described database table.
4. genetic relationship identification device according to claim 1 is characterized in that, described data analysis module is used for calculating sibship indices P I between any two individualities of described database table FS, and according to formula W FS=PI FS/ (PI FS+ 1) calculates the sibship probability.
5. genetic relationship identification device according to claim 4, it is characterized in that, described data analysis module is further used for adding up the mutually homoallelic number that two individualities are had, and the same locus allelotrope of analyzing per two individualities is different entirely, half-phase is same and complete identical situation, and analytical results is saved in the described database table.
6. genetic relationship identification device according to claim 4 is characterized in that, described data analysis module is further used for by the W that produces minimum prediction error rate FSDividing value begins to calculate, and calculates different W FSError rate under the dividing value surpasses 1% until error rate.
7. genetic relationship identification device according to claim 1 is characterized in that, described result queries mould is used for relative chance of patriarchy (RCP) between any two samples of database table and parental right relational index (PI) etc. are inquired about; Or the RCP and the PI data that satisfy the preset threshold value condition are screened.
8. a sibship authentication method is characterized in that, comprises
Read and to carry out the data that sibship is analyzed;
Paternity index according to sibship between described data computation two individualities;
Inquiry calculation result.
9. sibship authentication method according to claim 8, it is characterized in that, the described data that need carry out the sibship analysis that read comprise: read the data in the file of DAT form of genetic analysis instrument automatically, or read the user by the manual data of input of inputting interface.
10. sibship authentication method according to claim 8 is characterized in that, described paternity index according to sibship between described data computation two individualities comprises: calculate sibship indices P I between any two individualities FS, and according to formula W FS=PI FS/ (PI FS+ 1) calculates the sibship probability.
11. sibship authentication method according to claim 10 is characterized in that, further comprises:
Add up the mutually homoallelic number that two individualities are had, and analyze that the same locus allelotrope of per two individualities is complete different, half-phase with complete identical situation, and preserve analytical results.
12. sibship authentication method according to claim 8, it is characterized in that, described inquiry calculation result comprises: relative chance of patriarchy (RCP) between any two samples and parental right relational index (PI) are inquired about, or the RCP and the PI data that satisfy the preset threshold value condition are screened.
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Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103544234A (en) * 2013-10-07 2014-01-29 宁波芝立软件有限公司 Genetic relationship mutuality derivation method
CN104112023A (en) * 2014-07-30 2014-10-22 谭笑丹 Computer database system based paternity identification search method
CN105608304A (en) * 2015-07-31 2016-05-25 南京酷派软件技术有限公司 Information processing method and information processing device
CN107633160A (en) * 2017-08-14 2018-01-26 广州市圣鑫生物科技有限公司 Triplet paternity test method, system, computer equipment and readable storage medium storing program for executing
CN107832586A (en) * 2017-11-08 2018-03-23 中山大学 The individual combination Relationship iden- tification method and device of one kind three
CN109273046A (en) * 2018-10-19 2019-01-25 上海晶准生物医药有限公司 A kind of biology full sibs identification method based on probability statistics model
CN111883207A (en) * 2020-07-31 2020-11-03 武汉蓝沙医学检验实验室有限公司 Identification method of biological genetic relationship
CN115712603A (en) * 2023-01-09 2023-02-24 北京大学第三医院(北京大学第三临床医学院) Tool for rapidly comparing genetic relationship of samples and comparison method thereof

Family Cites Families (1)

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CN100578517C (en) * 2007-12-05 2010-01-06 中国水产科学研究院黑龙江水产研究所 Fish germ plasma resource genetic analyzing device

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103544234A (en) * 2013-10-07 2014-01-29 宁波芝立软件有限公司 Genetic relationship mutuality derivation method
CN104112023A (en) * 2014-07-30 2014-10-22 谭笑丹 Computer database system based paternity identification search method
CN105608304A (en) * 2015-07-31 2016-05-25 南京酷派软件技术有限公司 Information processing method and information processing device
CN107633160A (en) * 2017-08-14 2018-01-26 广州市圣鑫生物科技有限公司 Triplet paternity test method, system, computer equipment and readable storage medium storing program for executing
CN107633160B (en) * 2017-08-14 2019-11-05 广州金域司法鉴定技术有限公司 Triplet paternity test method, system, computer equipment and readable storage medium storing program for executing
CN107832586A (en) * 2017-11-08 2018-03-23 中山大学 The individual combination Relationship iden- tification method and device of one kind three
CN109273046A (en) * 2018-10-19 2019-01-25 上海晶准生物医药有限公司 A kind of biology full sibs identification method based on probability statistics model
CN109273046B (en) * 2018-10-19 2022-04-22 江苏东南证据科学研究院有限公司 Biological whole sibling identification method based on probability statistical model
CN111883207A (en) * 2020-07-31 2020-11-03 武汉蓝沙医学检验实验室有限公司 Identification method of biological genetic relationship
CN115712603A (en) * 2023-01-09 2023-02-24 北京大学第三医院(北京大学第三临床医学院) Tool for rapidly comparing genetic relationship of samples and comparison method thereof

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