SNP (Single Nucleotide Polymorphism) marker combination, construction method and product for deducing population biogeographic source

Abstract

The invention provides an SNP (Single Nucleotide Polymorphism) marker combination, a construction method and a product for inferring a population biological geographic source, and belongs to the technical field of forensic medicine. The SNP marker combination provided by the invention comprises at least 50 SNP loci, the SNP marker combination has relatively high differentiation in people of northern Han nationality, southern Han nationality, Miao Yao language family, Tibetan Mian language family and Zhuang Dong language family in China, the five major people can be distinguished based on relatively few loci, and locus information is provided for preparation of a kit. Meanwhile, efficiency evaluation is carried out based on principal component analysis and an ADMIXTURE method, an artificial intelligence model is constructed by utilizing a random forest method, and the model not only can distinguish samples in five crowds, but also can carry out crowd identification on unknown individuals. The invention provides SNP loci for preparation of biological geographical source kits for five major populations in China, provides a method for construction of an artificial intelligence model, and provides more valuable information for forensic medicine and population genetics research.

Description

Technical Field

[0001] The present invention belongs to the field of forensic medicine technology, and specifically relates to a SNP marker combination, a construction method and a product for inferring the biogeographical origin of a population. Background Art

[0002] In forensic judicial practice, all work revolves around personal identification, paternity testing and traceability. However, in actual forensic work, the incidence of difficult samples at the crime scene, such as trace samples and degraded samples, is extremely high, and the current reference database has a limited range of data. The application of the traditional STR typing system cannot meet all the needs of the work. Therefore, single nucleotide polymorphisms in di-allelic genetic markers have gradually appeared at the forefront of research or actual combat. Single nucleotide polymorphism (SNP) refers to DNA sequence polymorphism caused by changes in a single base sequence at a specific site in the genome. SNPs are widely present in the coding and non-coding regions of the human genome. They have higher polymorphism than STR, lower mutation rate than STR, and higher stability. They are also easy to high-throughput and automated typing, making them more suitable for the analysis of highly degraded samples. Ancestry informative markers (AIM) are distributed throughout the human genome and have significant allele frequency differences in different ethnic groups. The use of AIM sets to reconstruct population history and genetic relationships has attracted attention in the field of forensic medicine. In the field of forensic medicine, scholars refer to the technology of fine genetic localization of crime scene biological samples based on AIM genetic variation information and then predicting their geographical ancestral origin as forensic ancestry inference. Professor Kidd of Yale University first proposed this concept, and at the same time screened a large number of AIMs and built a global reference database with high coverage. However, due to the lack of population reference data and incomplete verification of newly developed or commercial AIM sets, subpopulation ancestry inference in East Asia is still in its infancy.

[0003] One of the important tasks of forensic analysis is to clarify the group origin and population source of an individual, thereby effectively narrowing the scope of the investigation. Determining biogeographic ancestry through AIMs helps identify missing persons and human remains in large-scale disasters. With the development of bioinformatics and next-generation sequencing technology, forensic-specific SNP genetic markers have been discovered and widely used. Although early research on the inference of population ancestry information has been carried out in the fields of medical genetics and forensic genetics, there are differences in specific target research groups and a lack of high-coverage reference data sets for the Chinese population between different studies. Based on the detailed population genetic background, relevant population-specific ancestry inference systems are developed, and after a high-coverage reference comparison database is established, ancestry inference can be cited in judicial practice. Therefore, it is urgent to establish a more effective ancestry inference system with both global resolution and high differentiation of East Asian internal populations, and to establish a reference database of the Chinese population with significant differences in Chinese genetic structure.

[0004] China is a vast country with a high degree of linguistic diversity, ethnic diversity and genetic diversity. In terms of linguistic diversity, there are as many as 10 different language families in China and its surrounding areas: including Mongolian, Tungusic, Turkic, Japanese and Korean in northern China, collectively named Pan-Eurasian languages; the Sino-Tibetan language family with the largest population base is distributed in the central region of China, including the Chinese and Tibeto-Burman language families; the Miao-Yao language family and the Zhuang-Dong language family are widely distributed in southern China, as well as the Austronesian language family distributed in the southeastern coastal areas of China and the South Asian language family in the southwest inland areas. The Pan-Asian SNP Project found that the genetic structure of East Asia has a strong correspondence with language classification and geographical division, and most people contain multiple genetic components. Early studies have found that people with close geographical locations and the same language family have relatively closer genetic affinity and more similar genetic ancestral components.

[0005] Therefore, we grouped the study population by language family and geographical location, and used the differences in allele frequencies among different populations to measure the information value (informativeness for assignment, I n ) and other parameters are used to evaluate the effectiveness of SNP genotypes in distinguishing different groups, screen SNP sites that can be used to infer the ancestry of the Chinese sub-continental population, namely ancestry informative SNP (AISNP), and conduct performance evaluation and construction of random forest models, which has good application prospects. Summary of the invention

[0006] In view of the above-mentioned deficiencies, the present invention provides a combination of SNP markers, a construction method and a product for inferring the biogeographical origin of a population. The SNP marker combination provided by the present invention includes at least 50 SNP sites, and the SNP marker combination has a high differentiation in the populations of the northern Han Chinese, the southern Han Chinese, the Miao-Yao language family, the Tibeto-Burman language family and the Zhuang-Dong language family in China, and can distinguish the five major populations based on fewer sites, providing site information for the preparation of the kit. At the same time, performance evaluation was performed based on principal component analysis and ADMIXTURE methods, and an artificial intelligence model was constructed using the random forest method. The model can not only distinguish samples from the five major populations, but also identify unknown individuals from the population. The present invention provides SNP sites for the preparation of a kit for inferring the biogeographical origins of the five major populations in China, provides a method for constructing an artificial intelligence model, and provides more valuable information for forensic medicine and population genetics research.

[0007] To achieve the above purpose, the technical solution adopted by the present invention is as follows:

[0008] In a first aspect, the present invention provides a SNP marker combination, wherein the SNP marker combination includes the SNP sites described in Table 1.

[0009] Specifically, the SNP marker combination includes: SNP marker combination 1, SNP marker combination 2, SNP marker combination 3, SNP marker combination 4, SNP marker combination 5 or SNP marker combination 6.

[0010] Preferably, the SNP marker combination 1 includes the SNP sites numbered 1 to 50 in Table 1.

[0011] Preferably, the SNP marker combination 2 includes the SNP sites numbered 1 to 100 in Table 1.

[0012] Preferably, the SNP marker combination 3 includes the SNP sites numbered 1 to 250 in Table 1.

[0013] Preferably, the SNP marker combination 4 includes the SNP sites numbered 1 to 500 in Table 1.

[0014] Preferably, the SNP marker combination 5 includes the SNP sites numbered 1 to 1000 in Table 1.

[0015] Preferably, the SNP marker combination 6 includes the SNP sites numbered 1 to 2000 in Table 1.

[0016] In a second aspect, the present invention provides a method for constructing the above-mentioned SNP marker combination, the construction method comprising the following steps: S1, calculating the allele frequency of each subpopulation; S2, calculating the square correlation coefficient r of the overall linkage disequilibrium value. 2; S3, configuration file; S4, run AIM-generator, select I n The SNP sites with high values ​​were combined.

[0017] Specifically, the step S1 includes: based on PLINK software, using the following code to calculate the allele frequency: plink--bfile pop--double-id--snps-only--freq--make-bed--keep-allele-order--out pop.

[0018] Specifically, the step S2 comprises: based on PLINK software, using the following code to calculate the square correlation coefficient r of the overall linkage disequilibrium value: 2 :plink --vcf 5pop.vcf.gz --double-id --snps-only --r2 --ld-window-kb 2000 --ld-window 99999999 --ld-window-r2 0.2 --make-bed --out5pop.

[0019] Specifically, the configuration file parameters in step S3 are set as follows: ldthresh=0.2, hetthresh=0.01, distances=1000000, nraims=50 / 100 / 250 / 500 / 1000 / 2000.

[0020] In a third aspect, the present invention provides the use of the above-mentioned SNP marker combination in preparing a model or a kit for inferring the biogeographical origin of a population.

[0021] In a fourth aspect, the present invention provides a model for inferring the biogeographical origin of a population, wherein the model comprises a SNP marker combination according to any one of claims 1-2, and an artificial intelligence model is constructed based on a random forest method.

[0022] Specifically, the random forest method includes: randomly selecting 70% of the samples as training sets and 30% of the samples as test sets, using the PC1-PC10 data of the principal component analysis results and the Q file of the ADMIXTURE optimal K as input data, and applying the five-fold crossover method of the random forest method in machine learning to construct an artificial intelligence model.

[0023] In a fifth aspect, the present invention provides a kit for inferring the biogeographical origin of a population, the kit comprising primers or gene chips of the SNP marker combination according to any one of claims 1-2.

[0024] In a sixth aspect, the present invention provides the use of the above-mentioned SNP marker combination, model, and kit in inferring the biogeographical origin of a population.

[0025] Preferably, the population includes northern Chinese Han, southern Chinese Han, Miao-Yao, Tibeto-Burman and / or Zhuang-Dong language groups.

[0026] The beneficial effects of the present invention are:

[0027] The SNP marker combination provided by the present invention includes at least 50 SNP sites. The SNP marker combination has high differentiation in the populations of northern Han Chinese, southern Han Chinese, Miao-Yao language family, Tibeto-Burman language family and Zhuang-Dong language family in China, and can distinguish the five major populations based on fewer sites, providing site information for the preparation of the kit. At the same time, performance evaluation is performed based on principal component analysis and ADMIXTURE methods, and an artificial intelligence model is constructed using the random forest method. The model can not only distinguish samples from the five major populations, but also identify unknown individuals. The present invention provides SNP sites for the preparation of a kit for inferring the biogeographical origins of the five major populations in China, provides a method for constructing an artificial intelligence model, and provides more valuable information for forensic medicine and population genetics research. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 This is the sample distribution map of China's five major populations.

[0029] Figure 2 AISNPs distribution on 22 chromosomes.

[0030] Figure 3 This is the density map of the distribution of AISNPs on 22 chromosomes.

[0031] Figure 4 The UMAP analysis diagram of 6 groups of AIMs in 5 populations.

[0032] Figure 5 Combination diagrams of principal component analysis and ADMIXTURE of 50AIMs group, 100AIMs group and 250AIMs group; A in the figure is principal component analysis of 50AIMs group, B is principal component analysis of 100AIMs group, C is principal component analysis of 250AIMs group; D is ADMIXTURE analysis of 50AIMs group; E is ADMIXTURE analysis of 100AIMs group; F is ADMIXTURE analysis of 250AIMs group.

[0033] Figure 6Combination diagram of principal component analysis and ADMIXTURE of 500AIMs group, 1000AIMs group and 2000AIMs group; A in the figure is principal component analysis of 500AIMs group, B is principal component analysis of 1000AIMs group, C is principal component analysis of 2000AIMs group; D is ADMIXTURE analysis of 500AIMs group; E is ADMIXTURE analysis of 1000AIMs group; F is ADMIXTURE analysis of 2000AIMs group.

[0034] Figure 7 It is the ROC curve diagram.

[0035] Figure 8 This is a curve chart showing the average classification accuracy and the number of SNPs. DETAILED DESCRIPTION

[0036] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments; based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0037] Example 1 SNP sites and combinations used for inferring the biogeographical origins of the five major populations in China

[0038] 1. Data Collection

[0039] The present invention compiled a whole genome SNP data set, consisting of 434,143 filtered SNP sites (for the Illumina platform, only SNPs with dbSNP reference ID numbers were selected in the present invention), and a total of 2,772 samples from the five major populations in China were collected, including 1097 samples from the Han nationality in northern China (Han_North), 898 samples from the Han nationality in southern China (Han_South), 365 samples from the Hmong-Mien language family (HM), 154 samples from the Tibeto-Burman language family (TB), and 258 samples from the Tai-Kadai language family (TK), for screening ancestral information SNP sites. 2,772 samples from the five major populations in China were tested by whole genome chip, and individuals with kinship within three generations were excluded using KING software, and data were merged using PLINK software.

[0040] 2. Data quality control

[0041] The merged data were quality controlled with the following code: “--mind 0.1,--geno 0.1,--hwe 0.001,and--maf 0.01”.

[0042] The sites were filtered and the sites that met the following conditions were retained: missing rate less than 0.1 (--mind 0.1), Hardy-Weinberg equilibrium p value greater than >0.001 (--hwe 0.001), and the minimum allele frequency greater than 0.01 (--maf0.01);

[0043] The samples were filtered and those that met the following conditions were retained: the missing rate was less than 0.1 (--geno 0.1), and finally 434,143 SNP sites were retained.

[0044] 3. Screening for ancestral information genetic loci that can distinguish the five major populations in China

[0045] 3.1 The screening principles are as follows:

[0046] ① The site is located in the intron region; ② The selected sites are located on different chromosomes or more than 1Mb apart on the same chromosome to reduce the mutual influence between SNPs; ③ There is a high genetic distribution difference between the paired populations (Fst, I n );④It conforms to Hardy-Weinberg equilibrium (HWE) in the studied population.

[0047] 3.2 The specific steps of screening are as follows:

[0048] 3.2.1 Calculate the allele frequency for each subpopulation

[0049] Based on PLINK software, the allele frequencies were calculated using the following code: “plink --bfile pop --double-id --snps-only --freq --make-bed --keep-allele-order --out pop”.

[0050] 3.2.2 Calculate the square correlation coefficient (r 2 )

[0051] Based on PLINK software, use the following code: "plink --vcf 5pop.vcf.gz --double-id --snps-only --r2 --ld-window-kb 2000 --ld-window 99999999 --ld-window-r2 0.2

[0052] --make-bed--out 5pop", calculate the square correlation coefficient of the overall linkage disequilibrium value (r 2 ).

[0053] 3.2.3Configure the file and run AIM-generator

[0054] The I between groups was calculated using the AIM-generator package n Value, according to I n The site selection was performed based on the value of the site, and the sites with reference ID numbers in the dbSNP database were selected. The configuration file parameters were set as follows: ldthresh = 0.2, hetthresh = 0.01, distances = 1000000, nraims = 50 / 100 / 250 / 500 / 1000 / 2000. n The values ​​will sort the screened sites and filter I n The SNP sites with the top 50, 100, 250, 500, 1000, and 2000 values ​​are shown in Table 1.

[0055] Table 1 The top 50, 100, 250, 500, 1000, and 2000 SNP sites

[0056]

[0057]

[0058]

[0059]

[0060]

[0061]

[0062]

[0063]

[0064]

[0065]

[0066]

[0067]

[0068]

[0069]

[0070]

[0071]

[0072]

[0073]

[0074]

[0075]

[0076]

[0077]

[0078]

[0079]

[0080] Note: In the table, serial numbers 1 to 2000 represent rankings 1 to 2000; for example, serial numbers 1 to 50 represent the top 50 SNP sites, serial numbers 1 to 100 represent the top 100 SNP sites; serial numbers 1 to 250 represent the top 250 SNP sites; serial numbers 1 to 500 represent the top 500 SNP sites; serial numbers 1 to 1000 represent the top 1000 SNP sites; serial numbers 1 to 2000 represent the top 2000 SNP sites.

[0081] The above SNP sites are divided into 6 groups, namely:

[0082] 50AIMs group: consists of SNP sites numbered 1 to 50, a total of 50 SNP sites.

[0083] 100AIMs group: consists of SNP sites numbered 1 to 100, a total of 100 SNP sites.

[0084] 250AIMs group: consists of SNP sites numbered 1 to 250, a total of 250 SNP sites.

[0085] 500AIMs group: consists of SNP sites numbered 1 to 500, a total of 500 SNP sites.

[0086] 1000AIMs group: consists of SNP sites numbered 1 to 1000, a total of 1000 SNP sites.

[0087] 2000AIMs group: consists of SNP sites numbered 1 to 2000, a total of 2000 SNP sites.

[0088] The SNP bar graphs of the 50AIMs group, 100AIMs group, 250AIMs group, 500AIMs group, 1000AIMs group, and 2000AIMs group are shown in Figure 2 , SNP density map see Figure 3 The results of UMAP (Uniform Manifold Approximation and Projection) are shown in Figure 4 .

[0089] 4. AIM performance verification

[0090] Principal component analysis: The smartPCA program in the EIGENSOFT package was used to perform dimensionality reduction data analysis on the AISNPs combinations selected above. The first two components of the data results, PC1 and PC2, were graphically represented in a two-dimensional scatter plot using R software, and all modern populations were classified by color according to different language families.

[0091] ADMIXTURE was used to evaluate the ancestry proportions of the selected AIMs set, and R software was used for graphical representation.

[0092] The UMAP analysis graphs of the 50AIMs group, 100AIMs group, 250AIMs group, 500AIMs group, 1000AIMs group, and 2000AIMs group are shown in Figure 4 The principal component analysis and ADMIXTURE combination diagrams of the 50AIMs group, 100AIMs group, and 250AIMs group are shown in Figure 5 ; The principal component analysis and ADMIXTURE combination diagram of the 500AIMs group, 1000AIMs group, and 2000AIMs group are shown in Figure 6 .

[0093] Example 2 SNP sites and combinations used for inferring the biogeographical origins of the five major populations in China

[0094] 70% of the samples were randomly selected as training sets and 30% of the samples were used as test sets. The PC1-PC10 data of the principal component analysis results and the Q file of the optimal K of ADMIXTURE were used as input data. The five-fold crossover method of the random forest method in machine learning was applied to evaluate the performance of the selected AISNPs combination (50AIMs group, 100AIMs group, 250AIMs group, 500AIMs group, 1000AIMs group, 2000AIMs group). The average classification accuracy (Average accuracy, AAC) of the five groups was detected, and the sensitivity, specificity, negative predictive value and positive predictive value of each group of AISNPs for each population were systematically evaluated. At the same time, based on the "randomForest" package in R software, random forest models of five different populations were constructed and verified.

[0095] The calculation formulas for the sensitivity, specificity, negative predictive value and positive predictive value are as follows:

[0096]

[0097]

[0098]

[0099]

[0100] In the above calculation formula, TP stands for true positive, which means the positive sample is successfully predicted as positive; TN stands for true negative, which means the negative sample is successfully predicted as negative; FN stands for false negative, which means the positive sample is incorrectly predicted as negative; FP stands for false positive, which means the negative sample is incorrectly predicted as positive.

[0101] The ROC curve of the random forest model evaluation of the AISNPs combination is shown in Figure 7 ; The combined graph of average classification accuracy and SNP number change curve is shown in Figure 8 The accuracy of population inference is shown in Table 2; the sensitivity, specificity, negative predictive value and positive predictive value are shown in Table 3.

[0102] Table 2. Accuracy of crowd inference

[0103]

[0104]

[0105] Table 3 Sensitivity, specificity, negative predictive value and positive predictive value

[0106]

[0107]

[0108] The present invention screens SNP marker combinations with high information resolution from massive genomic data to form a reference system that can be used to distinguish between northern Chinese Han, southern Chinese Han, Miao-Yao, Tibeto-Burman and Zhuang-Dong populations. The average classification accuracy (AAC) of reference systems of different sizes can reach 89.18%, 90.99%, 94.59%, 95.43%, 97.36% and 98.44%, respectively.

[0109] The present invention uses principal component analysis and ADMIXTURE methods to evaluate the performance of several groups of ancestral information sites screened, and finds that when the number of sites is 1,000, the discrimination performance of about 430,000 sites can be achieved. At the same time, 30% of random samples are used as a validation set to verify the constructed random forest model. The results show that the screened AISNPs marker combination can effectively distinguish and infer the ancestral origin of the five major populations in China, and can meet the needs of forensic and medical genetic analysis. The AISNP sites and constructed models provided by the present invention can not only distinguish samples from five populations, but also identify groups of individuals of unknown origin.

[0110] The above detailed description is a specific description of one of the feasible embodiments of the present invention, and the embodiment is not intended to limit the scope of the present invention. It should be pointed out that any equivalent implementation or change that does not deviate from the present invention should be included in the scope of the technical solution of the present invention. Therefore, the protection scope of the patent of the present invention shall be based on the attached requirements.

Claims

1. A SNP marker combination, characterized in that: The described SNP marker combination includes: rs28895016, rs118175675, rs118167662, rs199950179, rs4246215, rs114727280, rs10018155, rs12606223, rs61737471, rs186506615, rs8030528, rs453755, rs8086803, rs17059735, rs2003155, rs142783462, rs1801133, rs1943674, rs7334180, rs17038632, rs17822931, rs12567990, rs80238849, rs8011928, rs2731763, rs10492574, rs1979556, rs6117562, rs2497587, rs13433503, rs117116959, rs2735028, rs17770564, rs117150960, rs11217099, rs2186739, rs2419549, rs3855655, rs6103022, rs4323025, rs6569926, rs1597353, rs143556588, rs6851685, rs9406475, rs2856997, rs11039176, rs3782886, rs3818003, rs2296651, rs6919856, rs6843813, rs17109031, rs146429634, rs6939589, rs2451356, rs16928562, rs3096337, rs7925813, rs185749461, rs12137204, rs6774290, rs9585909, rs146862844, rs7514452, rs12646519, rs224278, rs77625230, rs260019, rs12449858, rs73427738, rs35976142, rs72641442, rs6033553, rs9769826, rs932376, rs4589832, rs10414065, rs72850041, rs12450604, rs35593086, rs12045977, rs1536064, rs6504983, rs41070, rs76240322, rs11782884, rs4733581, rs2304401, rs28889583, rs2287037, rs17695937, 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088295、rs79876377、rs1028343、rs665035、rs7103530、rs7855043、rs62263369、rs117941022、rs7077832、rs1150635、rs74658899、rs12763161、rs12219747、rs117110358、rs960145、rs75784062、rs1938523、rs11961283、rs1218927、rs7215223、rs1800414、rs4676258、rs17761864、rs6534152、rs75706735、rs3087882、rs1425664、rs3805322、rs191503015、rs2252523、rs330613、rs529648、rs10779022、rs470097、rs11951174、rs552747、rs694979、rs4664076、rs2004640、rs732964、rs3731619、rs118013552、rs1153312、rs9851482、rs4388529、rs76097649、rs36054791、rs7646841、rs12902516、rs4868489、rs1547384、rs10118031、rs1481532、rs79286931、rs117973996、rs702874、rs189773872、rs12343502、rs650643、rs78838732、rs4819880、rs1539400、rs4606378、rs75641656、rs59124406、rs12467509、rs7031579、rs75640933、rs34907273、rs34622615、rs6963146、rs59318859、rs112278203、rs192275649、rs11151774、rs10481740、rs9315851、rs4811746、rs184018630、rs7199618、rs7908745、rs67084543、rs117606234、rs7213207、rs12477073、rs12216275、rs76179470、rs9858096、rs10748948、rs11038047、rs73347189、rs707570、rs79375035、rs1916636、rs155430、rs190475463、rs6414812、rs9319324、rs7324378、rs61635519、rs142500102、rs7464769、rs78325192、rs6564894、rs16872628、rs11737099、rs248375、rs4128764、rs11711432、rs13321156、rs114201943、rs2246092、rs146215929、rs142050208、rs4573036、rs4848147、rs17168814、rs1363959、rs1235183、rs827943、rs79725250、rs67951720、rs10461161、rs77253331、rs529443、rs10764238、rs16962840、rs1519252、rs701035、rs26807、rs375341258、rs2229437、rs1226900、rs2178658、rs10074392、rs2313635、rs1518651、rs1272513、rs13101861、rs7108930、rs1394322、rs17182867、rs1359082、rs189006806、rs4905972、rs4859259、rs8100623、rs78944830、rs3861081、rs9859653、rs6682862、rs17801274、rs75825481、rs10789496、rs11184238、rs10738433、rs9375427、rs332882、rs80120375、rs73760095、rs3205525、rs4265096、rs6449020、rs56303640、rs12149371、rs2633640、rs4077788、rs12041834、rs17837880、rs1541907、rs12684747、rs74325411、rs79735904、rs6124298、rs145581256、rs10907175、rs822602、rs7022922、rs3820508、rs6771286、rs548282337、rs6603821、rs972514、rs4749009、rs7780254、rs2182760、rs150231433、rs9868510、rs76864445、rs10057227、rs2670277、rs11665521、rs9920254、rs10507873、rs77890925、rs72632294、rs11785202、rs73076259、rs73208859、rs6554679、rs1048687、rs7241961、rs3844582、rs12955955、rs7216064、rs6434006、rs10021833、rs76269467、rs171248、rs2772215、rs7531806、rs4928080、rs73442789、rs66634112、rs2290741、rs10497873、rs6746296、rs56167623、rs150927421、rs11114932、rs4808554、rs3759348、rs2826382、rs11712165、rs16870120、rs1380263、rs2355990、rs602052、rs6061194、rs1567675、rs143764885、rs11809542、rs77258944、rs6508610、rs2233334、rs77764699、rs12623569、rs11080557、rs192617897、rs10091038、rs9572551、rs7757002、rs114876190、rs9321156、rs10735536、rs78613593、rs6669773、rs2399596、rs6554337、rs7701255、rs1840662、rs9894902、rs150879578、rs1398205、rs12714456、rs59894615、rs2258974、rs57932506、rs75624581、rs11097533、rs4804410、rs143829220、rs111711334、rs190893539、rs6951072、rs12599436、rs562032554、rs141985564、rs11028、rs57361682、rs28522973、rs4630564、rs4112305、rs299412、rs13179463、rs75429994、rs522737、rs891971、rs3798734、rs1283703、rs736666、rs500063、rs191913215、rs16893890、rs1862147、rs4852032、rs2075982、rs9354070、rs940746、rs7026444、rs11993705、rs1989806、rs78305131、rs147881435、rs12337458、rs13205612、rs74546023、rs876302、rs1860781、rs56247310、rs3785901、rs494818、rs4483821、rs149633080、rs5884118、rs872570、rs145141178、rs117121165、rs78139751、rs2968122、rs4933484、rs11889675、rs2147673、rs6745226、rs76330352、rs267238、rs80228310、rs16856807、rs1870340、rs6509510、rs7303111、rs3751972、rs7525571、rs78830621、rs573320、rs2192838、rs7320723、rs118080773、rs369655、rs3088093、rs735936、rs16974824、rs10197806、rs57505558、rs2363821、rs7173120、rs77301984、rs7938677、rs2286219、rs28579719、rs2614170、rs113332649、rs2351938、rs10804678、rs7555626、rs11022350、rs2295590、rs12582831、rs2835539、rs1338935、rs7025924、rs75193889、rs831750、rs11058957、rs17134506、rs79637342、rs13261217、rs11693564、rs2200522、rs1892001、rs79097140、rs117950610、rs72986566、rs11923975、rs6831283、rs9823517、rs4743335、rs7896345、rs9647128、rs186462828、rs2305649、rs1227012、rs776768、rs2827525、rs72681614、rs139845381、rs7784748、rs75455748、rs34733654、rs12546380、rs6813540、rs76199938、rs6995955、rs181850411、rs368825656、rs12871441、rs11622031、rs12188862、rs798017、rs17793362、rs76750785、rs75998368、rs10425081、rs12220770、rs6454815、rs4998924、rs12406284、rs12026084、rs61497694、rs4489930、rs4859721、rs10025242、rs4654899、rs12486275、rs139562677、rs1480749、rs150356800、rs55905780、rs117660352、rs6012893、rs6013471、rs34169189、rs13060241、rs2144208、rs116468624、rs55740449、rs61054943、rs77223599、rs10487384、rs1972583、rs10763995、rs993283、rs658501、rs113964080、rs79936638、rs10138228、rs10078261、rs74625131、rs10927977、rs61746541、rs6935372、rs2584737、rs11245954、rs10030915、rs831831、rs838512、rs80153537、rs13141532、rs2950483、rs11188876、rs966514、rs17082409、rs1166907、rs4285416、rs17233815、rs6690236、rs80320673、rs4838391、rs2749601、rs9810292、rs842634、rs4269383、rs143147326、rs12578007、rs141079451、rs9509528、rs34379709、rs80206678、rs41522、rs1925608、rs17152313、rs4964600、rs7930676、rs75287803、rs4876254、rs7968509、rs71239017、rs73757878、rs73181371、rs6709794、rs10793036、rs352284、rs4801093、rs4014450、rs7738643、rs699038、rs7003874、rs1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style=";text-align:left;direction:ltr">rs12035328, rs76636118, rs11124137, rs10800102, rs76237779, rs7539739, rs1783235, rs384971, rs4626871, rs4970768, rs75279641, rs7959715 rs9917028、rs2462010、rs8074350、rs9851674、rs4848323、rs17764512、r s61819727、rs9848910、rs16834927、rs10967234、rs116684343、rs1493976 35, rs77640068, rs79541777, rs11821487, rs117202434, rs17230634, rs9342199, rs66474244, rs6576023, rs4960967, rs56739123, rs76526393, rs1 88489424, rs7905657, rs61903085, rs13155233, rs11877439, rs9346470, rs615743, rs6720452, rs55904450, rs6991079, rs2177642, rs7830, rs7516 9243、rs7595886、rs188384922、rs12874422、rs12536871、rs1080394、rs1 458562、rs279779、rs11699916、rs6754489、rs1441641、rs79922046、rs124 49394、rs35113423、rs4419072、rs11682175、rs74531740、rs873233、rs10 754192、rs1405334、rs117823842、rs10128931、rs7292279、rs6814036、rs1 943024, rs76863441, rs13164092, rs7983695, rs1409818, rs4690032, rs9398513, rs147493031, rs118023327, rs146047831, rs17024939, rs1233230 9, rs188028, rs10839793, rs192928234, rs7974914, rs6756597, rs277037, rs1178562, rs75848967, rs12693892, rs6696888, rs7496993, rs75465628rs76429449、rs2244113、rs1537418、rs639370、rs1159109、rs11830296、rs10144686、rs62318106、rs2242698、rs12443207、rs192797983、rs80084617、rs7193541、rs2078693、rs61586589、rs73343417、rs11013878、rs34407744、rs1870167、rs10242720、rs9436812、rs74160895、rs7505089、rs10255742、rs16891829、rs76986979、rs9627236、rs2166840、rs12699673、rs12083740、rs7997733、rs11741307、rs9598117、rs10495457、rs11768394、rs2269911、rs74714742、rs390619、rs2392139、rs3771437、rs2298982、rs554733、rs116141391、rs35460115、rs75370178、rs13239353、rs6545712、rs16902229、rs1052161、rs3179887、rs72733819、rs17126675、rs1991988、rs10914671、rs112517557、rs7668382、rs185132290、rs1077446、rs5082、rs10985354、rs12651470、rs28663308、rs4130586、rs7330470、rs4672775、rs4485965、rs13088277、rs145877065、rs2795108、rs9346371、rs116210998、rs62513431、rs1989647、rs7843870、rs4622329、rs1608882、rs4964110、rs10741723、rs79353214、rs6772072、rs8093141、rs191887205、rs29415、rs2254182、rs149284717、rs67538593、rs10401110、rs12276244、rs3923051、rs116919510、rs2815206、rs9332884、rs10869935、rs13241169、rs200272453、rs425181、rs10942871、rs17781222、rs12885663、rs13214367、rs6490820、rs11052300、rs2015461、rs75120837、rs1944338、rs1513115、rs117026326、rs16833890、rs1938746、rs16983199、rs193230708、rs11132409、rs1080440、rs55816508、rs1996720、rs75088361、rs139316539、rs184300427、rs146032053、rs4904855、rs74705646、rs114508878、rs558380807、rs73329288、rs17588477、rs1012367、rs141371520、rs10994920、rs62144301、rs4339259、rs78156947、rs112499595、rs12509071、rs146644150、rs9302752、rs145994658、rs3976244、rs75619216、rs1070487、rs116867152、rs12989658、rs11013153、rs2323162、rs10043191、rs10743476、rs11266022、rs186610321、rs7278127、rs7636853、rs7008972、rs145566534、rs2014149、rs7230825、rs116918844、rs1385467、rs2060892、rs4737547、rs28491654、rs1227919、rs1323530、rs11006517、rs12663869、rs4688376、rs2469109、rs78719372、rs6826969、rs1679489、rs17787432、rs1422853、rs3796977、rs4908760、rs6695728、rs11663779、rs12648093、rs7338289、rs4610096、rs2474755、rs7418163、rs115107288、rs76403112、rs11038514、rs6480804、rs2002675、rs11715526、rs76846186、rs3782583、rs59154197、rs138582968、rs9399559、rs28586986、rs1615094、rs72826128、rs2324570、rs145129558、rs74362723、rs2240311、rs490022、rs72782825、rs11773845、rs8188603、rs1506127、rs62477619、rs4509055、rs11700219、rs11591211、rs12535452、rs10784493、rs2635199、rs7208747、rs10875943、rs7773268、rs147770438、rs2117999、rs10867884、rs17769799、rs7792760、rs10804105、rs6997530、rs117580325、rs35938160、rs7694381、rs144441031、rs7816300、rs9879078、rs76985422、rs11180116、rs2384732、rs11768707、rs118082143、rs1578867、rs11210407、rs12150592、rs12337176、rs9288114、rs74918286、rs79958005、rs7701656、rs497277、rs190493975、rs2251082、rs10499084、rs1477656、rs9466857、rs2076118、rs34283437、rs4619191、rs77238475、rs6923237、rs6718596、rs11235833、rs6431231、rs7707639、rs1461616、rs367750306、rs75331747、rs11217617、rs1410271、rs3103350、rs4858257、rs2278144、rs12705960、rs141288643、rs71379971、rs4377239、rs35174522、rs28501173、rs11779394、rs7016160、rs12239044、rs9568319、rs10902869、rs35579242、rs9568981、rs6825286、rs12525940、rs76324086、rs258401、rs1793072、rs643584、rs2733735、rs6476022、rs4681290、rs77249479、rs7871649、rs16937239、rs8017030、rs1565350、rs12642133、rs7459881、rs117899993、rs112372939、rs118165144、rs907476、rs12706319、rs3795837、rs10033527、rs139249497、rs79378378、rs1538634、rs73713651、rs9941383、rs1455815、rs1449624、rs9830434、rs142526870、rs75185097、rs13359820、rs7337711、rs17393209、rs7244365、rs28532286、rs12741800、rs75199265、rs1914037、rs4649284、rs3863110、rs4690912、rs117567692、rs78685363、rs7265115、rs189165130、rs117929819、rs75168607、rs17116269、rs7227719、rs11159133、rs80332454、rs183009949、rs7519838、rs716314、rs10840096、rs1861537、rs7072145、rs17165882、rs72754179、rs148097929、rs6799683、rs142432389、rs71558717、rs17142462、rs840691、rs141971516、rs2228972、rs118000038、rs6538508、rs6829773、rs142407243、rs927657、rs184473257、rs116942152、rs4936094、rs4646823、rs188901763、rs7834729、rs7944067、rs1209175、rs10141058、rs138824813、rs77510936、rs11839631、rs9853121、rs6124941、rs141113870、rs13354054、rs134145、rs35797675、rs117549026、rs12638472、rs1422350、rs1130146、rs17587202、rs11857585、rs2090383、rs933042、rs2288680、rs77851007、rs2677424、rs9525317、rs882464、rs12456839、rs62652532、rs138000390、rs748404、rs11087163、rs34922637、rs190745126、rs10874095、rs59179632、rs2418539、rs112790000、rs41346150、rs9831271、rs4235108、rs116886140、rs79378723、rs7802078、rs4437531、rs79324648、rs76669795、rs446310、rs140144956、rs55755526、rs10103501、rs11205700、rs79668085、rs926578、rs11726519、rs12782822、rs4723552、rs7633390、rs1034576、rs2601701、rs177083、rs13261147、rs1146973、rs4700537、rs16829575、rs142926764、rs74312734、rs234092、rs35869320、rs3818222、rs192181915、rs117092501、rs1441264、rs7910507、rs78333883、rs59523126、rs138773884、rs6510000、rs143159703、rs6431153、rs145709016、rs10520805、rs814661、rs6449334、rs12466830、rs185744853、rs138359280、rs75197903、rs10515118、rs10414598、rs76919217、rs2289495、rs75296814、rs7950479、rs754814、rs6097837、rs139201940、rs59775162、rs2102219、rs28393413、rs185406463、rs76783762、rs41476050、rs11156673、rs2474339、rs75738255、rs11657407、rs11075463、rs12438902、rs117344247、rs11259950、rs7992988、rs11736662、rs140414031、rs7403002、rs3019244、rs117876244、rs652008、rs7963716、rs10178695、rs4902502、rs1429244、rs117864909、rs13153796、rs148815647、rs150755473、rs10887363、rs17001003、rs9301747、rs147122353、rs12563427、rs117507539、rs57859638、rs79229406、rs7819482、rs17119479、rs1519589、rs117886791、rs75955529、rs8107274、rs79166445、rs79354140、rs118036427、rs1057920、rs2034114、rs28773546、rs1878735、rs117338970、rs10506652、rs3850699、rs13298660、rs13299557、rs10253237、rs2048277、rs7129131、rs242065、rs298981、rs12697585、rs7643184、rs77177934、rs4656889、rs12439639、rs7821631、rs142903036、rs4732078、rs12445870、rs1470623、rs9979708、rs11202472、rs180989626、rs11226034、rs28818515、rs10934011、rs4542481、rs4147983、rs529731197、rs117535791、rs9594242、rs142780953、rs11810413、rs148520850、rs16985542、rs79996514、rs13278392、rs2002543、rs2801270、rs4242024、rs80202889、rs80001046、rs148259660、rs11056378、rs150087029、rs7779633、rs28495639、rs139755536、rs147009077、rs234058、rs151142341、rs3784928、rs10212874、rs78975270、rs8036154、rs113195802、rs7797141、rs7015958、rs75275469、rs28612642、At least 50 SNPs among rs151177618, rs7014624, rs73242075, rs6932814, rs4875051, rs138067855, rs144675390, rs142467644, rs60691325, rs12135103, rs2459585, rs117976461, rs1243188, rs2390378, rs299522, rs61733124, rs1206028, or rs74734807.

2. The SNP marker combination according to claim 1, characterized in that The SNP marker combination includes: SNP marker combination 1: rs28895016, rs118175675, rs118167662, rs199950179, rs4246215, rs114727280, rs10018155, rs12606223, rs61737471, rs186506615, rs8030528, rs453755, rs8086803, rs17059735, rs2003155, rs142783462, rs1801133, rs1943674, rs7334180, rs17038632, rs17822931, rs12567990, rs80238849, rs8011928 s2731763, rs10492574, rs1979556, rs6117562, rs2497587, rs13433503, rs1171 16959, rs2735028, rs17770564, rs117150960, rs11217099, rs2186739, rs241954 9, rs3855655, rs6103022, rs4323025, rs6569926, rs1597353, rs143556588, rs6851685, rs9406475, rs2856997, rs11039176, rs3782886, rs3818003, and rs2296651; Or SNP marker combination 2: rs28895016, rs118175675, rs118167662, rs199950179, rs4246215, rs114727280, rs10018155, rs12606223, rs61737471, rs186506615, rs8030528, rs453755, rs8086803, rs17059735, rs2003155, rs142783462, rs1801133, rs1943674, rs7334180, rs17038632, rs17822931, rs12567990, rs80238849, rs8011928, rs2731763, rs10492574, rs1979556, rs6117562, rs2497587, rs13433503, rs117116959, rs2735028, rs17770564, rs117150960, rs11217099, rs2186739, rs2419549, rs3855655, rs6103022, rs4323025, rs6569926, rs1597353, rs143556588, rs6851685, rs9406475, rs2856997, rs11039176, rs3782886, rs3818003, rs2296651, rs6919856, rs6843813, rs17109031, rs146429634, rs6939589, rs2451356, rs16928562, rs3096337, rs7925813, rs185749461, rs12137204, rs6774290, rs9585909, rs146862844, rs7514452, rs12646519, rs224278, rs77625230, rs260019, rs12449858, rs73427738, rs35976142, rs72641442, rs6033553, rs9769826, rs932376, rs4589832, rs10414065, rs72850041, rs12450604, rs35593086, rs12045977, rs1536064, rs6504983, rs41070, rs76240322, rs11782884, rs4733581, rs2304401, rs28889583, rs2287037, rs17695937, rs2987741, rs3913163rs4415346, rs10950250, rs1476482, rs33915638, rs10511677 and rs12272874; Or SNP marker combination 3: rs28895016, rs118175675, rs118167662, rs199950179, rs4246215, rs114727280, rs10018155, rs12606223, rs61737471, rs186506615, rs8030528, rs453755, rs8086803, rs17059735, rs2003155, rs142783462, rs1801133, rs1943674, rs7334180, rs17038632, rs17822931, rs12567990, rs80238849, rs8011928, rs2731763, rs10492574, rs1979556, rs6117562, rs2497587, rs13433503, rs117116959, rs2735028, rs17770564, rs117150960, rs11217099, rs2186739, rs2419549, rs3855655, rs6103022, rs4323025, rs6569926, rs1597353, rs143556588, rs6851685, rs9406475, rs2856997, rs11039176, rs3782886, rs3818003, rs2296651, rs6919856, rs6843813, rs17109031, rs146429634, rs6939589, rs2451356, rs16928562, rs3096337, rs7925813, rs185749461, rs12137204, rs6774290, rs9585909, rs146862844, rs7514452, rs12646519, rs224278, rs77625230, rs260019, rs12449858, rs73427738, rs35976142, rs72641442, rs6033553, rs9769826, rs932376, rs4589832, rs10414065, rs72850041, rs12450604, rs35593086, rs12045977, rs1536064, rs6504983, rs41070, rs76240322, rs11782884, rs4733581, rs2304401, rs28889583, rs2287037, rs17695937, rs2987741, rs3913163rs4415346、rs10950250、rs1476482、rs33915638、rs10511677、rs12272874、rs2070040、rs2451241、rs6062521、rs6832151、rs4689805、rs9475806、rs74593311、rs72620727、rs75495236、rs2179367、rs78123269、rs17672397、rs2266928、rs8188311、rs12485909、rs10067393、rs7316486、rs4789182、rs10861562、rs2179308、rs1125434、rs12505900、rs11169493、rs601389、rs4705952、rs112998422、rs4393213、rs16260、rs838142、rs1113928、rs7742824、rs79607311、rs6022299、rs12681964、rs10056443、rs72643737、rs11930453、rs117802130、rs1709621、rs10160716、rs4962362、rs9881690、rs7851829、rs9423689、rs1798192、rs6462817、rs7202552、rs2477582、rs9402997、rs75258372、rs1233578、rs12719733、rs3803684、rs62040171、rs368188028、rs1704405、rs12446895、rs7900176、rs180926219、rs7172526、rs72628322、rs11878665、rs647598、rs75692009、rs187249828、rs4456935、rs2176823、rs424620、rs12749754、rs78989101、rs2228570、rs11118346、rs62204235、rs2967870、rs6801459、rs7077151、rs4944042、rs58711285、rs12592820、rs1473688、rs1322189、rs7834527、rs6591555、rs1339248、rs35776737、rs79947948、rs7151961、rs7149242、rs12002478、rs9362414、rs935996, rs112833185, rs62321892, rs79764646, rs114860644, rs8001340, rs13204333, rs11140666, rs17340373, rs186699574, rs16997893, rs147009646, rs7696872, rs148202444, rs57100697, rs73217909, rs2171319, rs11257428, rs78173001, rs1795669, rs74912710, rs7977871, rs28607014, rs146697390, rs187233267, rs12728989, rs3747556, rs10515645, rs13262033, rs12098223, rs10837923, rs4236375, rs2431607, rs6006152, rs4889543, rs3094754, rs13181561, rs10410631, rs9628167, rs1814139, rs9838393, rs6118730, rs10514299, rs1527452, rs4678878, rs1885431, rs4376443, rs697259, rs7082117, rs36106922, rs72986922, rs9395504, rs16864145, rs28773026, rs10505545, rs12975617, rs871285, rs186865153, rs11008360 and rs1025077; Or SNP marker combination 4: rs28895016, rs118175675, rs118167662, rs199950179, rs4246215, rs114727280, rs10018155, rs12606223, rs61737471, rs186506615, rs8030528, rs453755, rs8086803, rs17059735, rs2003155, rs142783462, rs1801133, rs1943674, rs7334180, rs17038632, rs17822931, rs12567990, rs80238849, rs8011928, rs2731763, rs10492574, rs1979556, rs6117562, rs2497587, rs13433503, rs117116959, rs2735028, rs17770564, rs117150960, rs11217099, rs2186739, rs2419549, rs3855655, rs6103022, rs4323025, rs6569926, rs1597353, rs143556588, rs6851685, rs9406475, rs2856997, rs11039176, rs3782886, rs3818003, rs2296651, rs6919856, rs6843813, rs17109031, rs146429634, rs6939589, rs2451356, rs16928562, rs3096337, rs7925813, rs185749461, rs12137204, rs6774290, rs9585909, rs146862844, rs7514452, rs12646519, rs224278, rs77625230, rs260019, rs12449858, rs73427738, rs35976142, rs72641442, rs6033553, rs9769826, rs932376, rs4589832, rs10414065, rs72850041, rs12450604, rs35593086, rs12045977, rs1536064, rs6504983, rs41070, rs76240322, rs11782884, rs4733581, rs2304401, rs28889583, rs2287037, rs17695937, rs2987741, rs3913163rs4415346、rs10950250、rs1476482、rs33915638、rs10511677、rs12272874、rs2070040、rs2451241、rs6062521、rs6832151、rs4689805、rs9475806、rs74593311、rs72620727、rs75495236、rs2179367、rs78123269、rs17672397、rs2266928、rs8188311、rs12485909、rs10067393、rs7316486、rs4789182、rs10861562、rs2179308、rs1125434、rs12505900、rs11169493、rs601389、rs4705952、rs112998422、rs4393213、rs16260、rs838142、rs1113928、rs7742824、rs79607311、rs6022299、rs12681964、rs10056443、rs72643737、rs11930453、rs117802130、rs1709621、rs10160716、rs4962362、rs9881690、rs7851829、rs9423689、rs1798192、rs6462817、rs7202552、rs2477582、rs9402997、rs75258372、rs1233578、rs12719733、rs3803684、rs62040171、rs368188028、rs1704405、rs12446895、rs7900176、rs180926219、rs7172526、rs72628322、rs11878665、rs647598、rs75692009、rs187249828、rs4456935、rs2176823、rs424620、rs12749754、rs78989101、rs2228570、rs11118346、rs62204235、rs2967870、rs6801459、rs7077151、rs4944042、rs58711285、rs12592820、rs1473688、rs1322189、rs7834527、rs6591555、rs1339248、rs35776737、rs79947948、rs7151961、rs7149242、rs12002478、rs9362414、rs935996、rs112833185、rs62321892、rs79764646、rs114860644、rs8001340、rs13204333、rs11140666、rs17340373、rs186699574、rs16997893、rs147009646、rs7696872、rs148202444、rs57100697、rs73217909、rs2171319、rs11257428、rs78173001、rs1795669、rs74912710、rs7977871、rs28607014、rs146697390、rs187233267、rs12728989、rs3747556、rs10515645、rs13262033、rs12098223、rs10837923、rs4236375、rs2431607、rs6006152、rs4889543、rs3094754、rs13181561、rs10410631、rs9628167、rs1814139、rs9838393、rs6118730、rs10514299、rs1527452、rs4678878、rs1885431、rs4376443、rs697259、rs7082117、rs36106922、rs72986922、rs9395504、rs16864145、rs28773026、rs10505545、rs12975617、rs871285、rs186865153、rs11008360、rs1025077、rs60436973、rs62177263、rs72809096、rs1874355、rs10513807、rs4867853、rs9524879、rs2194979、rs12581077、rs6565866、rs16855115、rs3783785、rs78193725、rs7388211、rs4801655、rs1118866、rs76134976、rs847784、rs7770330、rs6751484、rs140510441、rs17608059、rs3755724、rs11001345、rs2163349、rs6139713、rs6739772、rs80266172、rs2232326、rs1296281、rs10057542、rs80309419、rs2611209、rs2842643、rs1044246、rs58109250、rs4697435、rs60775007、rs12404563、rs146755234、rs12740417、rs150666797、rs954410、rs1385253、rs1260333、rs547056、rs73758578、rs73033513、rs3849295、rs7690085、rs13416901、rs13260909、rs76774202、rs7714111、rs1486200、rs77329186、rs215088、rs12589408、rs149427、rs34053484、rs4728771、rs17678072、rs12461519、rs143379234、rs74619500、rs189733998、rs7130631、rs6545163、rs12422361、rs76678111、rs117630970、rs12902688、rs72984131、rs72760214、rs751800、rs11552708、rs10784253、rs2879130、rs73823621、rs11820322、rs187679444、rs17659323、rs138442084、rs16883215、rs6817183、rs6714830、rs7727580、rs147494762、rs11072147、rs1288367、rs7101739、rs12550518、rs572273、rs11579379、rs2297545、rs4794848、rs62318558、rs77636362、rs308076、rs13389867、rs34055506、rs117552746、rs6682884、rs12232580、rs563531、rs719251、rs10062423、rs1806096、rs4806152、rs36003876、rs1945887、rs6765138、rs12731372、rs11754683、rs1557591、rs143327027、rs58658674、rs10797432、rs1427864、rs117736201、rs6448417、rs9519422、rs754868、rs736253、rs77819106、rs7813157、rs952484、rs9448732、rs117976048、rs11186600、rs145383783、rs11019615、rs911478、rs498976、rs4578651、rs2723716、rs12432203、rs72736498、rs56020716、rs934109、rs8115953、rs1107065、rs895924、rs34095989、rs4591529、rs12119170、rs11192724、rs11110532、rs11253734、rs205356、rs74006230、rs8068528、rs945501、rs7787329、rs4744167、rs12305634、rs1375128、rs56756028、rs76369550、rs17151852、rs7983420、rs13217719、rs1443903、rs117614970、rs11045776、rs1250551、rs4965584、rs7635612、rs2953818、rs6950498、rs29910、rs2183230、rs8105994、rs73269513、rs138070301、rs943957、rs8015273、rs116985439、rs11195048、rs56821597、rs79071870、rs670410、rs16829088、rs6925392、rs7110993、rs80008574、rs9947160、rs494379、rs78696654、rs1599217、rs6567356、rs10073517、rs60137128、rs17251791、rs41271330、rs440000、rs4512640、rs8133874、rs4861773、rs7349444、rs77391939、rs6735011、rs60214466、rs10489751、rs1551336、rs10795491、rs10790857、rs7108278、rs79204107、rs10066011、rs76815064、rs12225958、rs144172229、rs1255885、rs10896710、rs79390366、rs11703954、rs79504109、rs1199183、rs80137946、rs12406406、rs2764082、rs1994244、rs16958069、rs4457311、rs72775105、rs7303938、rs2922037、rs2660843、rs62008724、rs79559622、rs17601584、rs7241227、rs3827788、rs1725806、rs12803642、rs55775785、rs117632376、rs549386285、rs12546956、rs16493、rs13119788、rs2387750、rs975074、rs2252996、rs11154915、rs148803680、rs71426294、rs16917653、rs149243885;、 Or SNP marker combination 5: rs28895016, rs118175675, rs118167662, rs199950179, rs4246215, rs114727280, rs10018155, rs12606223, rs61737471, rs186506615, rs8030528, rs453755, rs8086803, rs17059735, rs2003155, rs142783462, rs1801133, rs1943674, rs7334180, rs17038632, rs17822931, rs12567990, rs80238849, rs8011928, rs2731763, rs10492574, rs1979556, rs6117562, rs2497587, rs13433503, rs117116959, rs2735028, rs17770564, rs117150960, rs11217099, rs2186739, rs2419549, rs3855655, rs6103022, rs4323025, rs6569926, rs1597353, rs143556588, rs6851685, rs9406475, rs2856997, rs11039176, rs3782886, rs3818003, rs2296651, rs6919856, rs6843813, rs17109031, rs146429634, rs6939589, rs2451356, rs16928562, rs3096337, rs7925813, rs185749461, rs12137204, rs6774290, rs9585909, rs146862844, rs7514452, rs12646519, rs224278, rs77625230, rs260019, rs12449858, rs73427738, rs35976142, rs72641442, rs6033553, rs9769826, rs932376, rs4589832, rs10414065, rs72850041, rs12450604, rs35593086, rs12045977, rs1536064, rs6504983, rs41070, rs76240322, rs11782884, rs4733581, rs2304401, rs28889583, rs2287037, rs17695937, rs2987741, rs3913163rs4415346、rs10950250、rs1476482、rs33915638、rs10511677、rs12272874、rs2070040、rs2451241、rs6062521、rs6832151、rs4689805、rs9475806、rs74593311、rs72620727、rs75495236、rs2179367、rs78123269、rs17672397、rs2266928、rs8188311、rs12485909、rs10067393、rs7316486、rs4789182、rs10861562、rs2179308、rs1125434、rs12505900、rs11169493、rs601389、rs4705952、rs112998422、rs4393213、rs16260、rs838142、rs1113928、rs7742824、rs79607311、rs6022299、rs12681964、rs10056443、rs72643737、rs11930453、rs117802130、rs1709621、rs10160716、rs4962362、rs9881690、rs7851829、rs9423689、rs1798192、rs6462817、rs7202552、rs2477582、rs9402997、rs75258372、rs1233578、rs12719733、rs3803684、rs62040171、rs368188028、rs1704405、rs12446895、rs7900176、rs180926219、rs7172526、rs72628322、rs11878665、rs647598、rs75692009、rs187249828、rs4456935、rs2176823、rs424620、rs12749754、rs78989101、rs2228570、rs11118346、rs62204235、rs2967870、rs6801459、rs7077151、rs4944042、rs58711285、rs12592820、rs1473688、rs1322189、rs7834527、rs6591555、rs1339248、rs35776737、rs79947948、rs7151961、rs7149242、rs12002478、rs9362414、rs935996、rs112833185、rs62321892、rs79764646、rs114860644、rs8001340、rs13204333、rs11140666、rs17340373、rs186699574、rs16997893、rs147009646、rs7696872、rs148202444、rs57100697、rs73217909、rs2171319、rs11257428、rs78173001、rs1795669、rs74912710、rs7977871、rs28607014、rs146697390、rs187233267、rs12728989、rs3747556、rs10515645、rs13262033、rs12098223、rs10837923、rs4236375、rs2431607、rs6006152、rs4889543、rs3094754、rs13181561、rs10410631、rs9628167、rs1814139、rs9838393、rs6118730、rs10514299、rs1527452、rs4678878、rs1885431、rs4376443、rs697259、rs7082117、rs36106922、rs72986922、rs9395504、rs16864145、rs28773026、rs10505545、rs12975617、rs871285、rs186865153、rs11008360、rs1025077、rs60436973、rs62177263、rs72809096、rs1874355、rs10513807、rs4867853、rs9524879、rs2194979、rs12581077、rs6565866、rs16855115、rs3783785、rs78193725、rs7388211、rs4801655、rs1118866、rs76134976、rs847784、rs7770330、rs6751484、rs140510441、rs17608059、rs3755724、rs11001345、rs2163349、rs6139713、rs6739772、rs80266172、rs2232326、rs1296281、rs10057542、rs80309419、rs2611209、rs2842643、rs1044246、rs58109250、rs4697435、rs60775007、rs12404563、rs146755234、rs12740417、rs150666797、rs954410、rs1385253、rs1260333、rs547056、rs73758578、rs73033513、rs3849295、rs7690085、rs13416901、rs13260909、rs76774202、rs7714111、rs1486200、rs77329186、rs215088、rs12589408、rs149427、rs34053484、rs4728771、rs17678072、rs12461519、rs143379234、rs74619500、rs189733998、rs7130631、rs6545163、rs12422361、rs76678111、rs117630970、rs12902688、rs72984131、rs72760214、rs751800、rs11552708、rs10784253、rs2879130、rs73823621、rs11820322、rs187679444、rs17659323、rs138442084、rs16883215、rs6817183、rs6714830、rs7727580、rs147494762、rs11072147、rs1288367、rs7101739、rs12550518、rs572273、rs11579379、rs2297545、rs4794848、rs62318558、rs77636362、rs308076、rs13389867、rs34055506、rs117552746、rs6682884、rs12232580、rs563531、rs719251、rs10062423、rs1806096、rs4806152、rs36003876、rs1945887、rs6765138、rs12731372、rs11754683、rs1557591、rs143327027、rs58658674、rs10797432、rs1427864、rs117736201、rs6448417、rs9519422、rs754868、rs736253、rs77819106、rs7813157、rs952484、rs9448732、rs117976048、rs11186600、rs145383783、rs11019615、rs911478、rs498976、rs4578651、rs2723716、rs12432203、rs72736498、rs56020716、rs934109、rs8115953、rs1107065、rs895924、rs34095989、rs4591529、rs12119170、rs11192724、rs11110532、rs11253734、rs205356、rs74006230、rs8068528、rs945501、rs7787329、rs4744167、rs12305634、rs1375128、rs56756028、rs76369550、rs17151852、rs7983420、rs13217719、rs1443903、rs117614970、rs11045776、rs1250551、rs4965584、rs7635612、rs2953818、rs6950498、rs29910、rs2183230、rs8105994、rs73269513、rs138070301、rs943957、rs8015273、rs116985439、rs11195048、rs56821597、rs79071870、rs670410、rs16829088、rs6925392、rs7110993、rs80008574、rs9947160、rs494379、rs78696654、rs1599217、rs6567356、rs10073517、rs60137128、rs17251791、rs41271330、rs440000、rs4512640、rs8133874、rs4861773、rs7349444、rs77391939、rs6735011、rs60214466、rs10489751、rs1551336、rs10795491、rs10790857、rs7108278、rs79204107、rs10066011、rs76815064、rs12225958、rs144172229、rs1255885、rs10896710、rs79390366、rs11703954、rs79504109、rs1199183、rs80137946、rs12406406、rs2764082、rs1994244、rs16958069、rs4457311、rs72775105、rs7303938、rs2922037、rs2660843、rs62008724、rs79559622、rs17601584、rs7241227、rs3827788、rs1725806、rs12803642、rs55775785、rs117632376、rs549386285、rs12546956、rs16493、rs13119788、rs2387750、rs975074、rs2252996、rs11154915、rs148803680、rs71426294、rs16917653、rs149243885、rs12607917、rs117653580、rs73225241、rs6660778、rs1822353、rs7416743、rs613229、rs10868691、rs10774053、rs141995027、rs115821935、rs6440971、rs9434482、rs6824656、rs7835557、rs6989526、rs7935771、rs149537614、rs78752139、rs1030371、rs6700692、rs34512295、rs11816315、rs241706、rs77632710、rs72898216、rs137943852、rs9514705、rs2914228、rs636877、rs62170788、rs11609438、rs1526780、rs4843885、rs7469903、rs2120390、rs16968497、rs11661022、rs222974、rs41285067、rs16970460、rs7330327、rs960909、rs4481145、rs56411893、rs5764467、rs7089714、rs2033175、rs16950474、rs6008993、rs8084545、rs115607392、rs4240326、rs77597656、rs12626676、rs1443340、rs9683047、rs11132225、rs4729597、rs4986144、rs7208709、rs2254884、rs16830921、rs79569343、rs6675067、rs17353278、rs2180611、rs11077417、rs149088295、rs79876377、rs1028343、rs665035、rs7103530、rs7855043、rs62263369、rs117941022、rs7077832、rs1150635、rs74658899、rs12763161、rs12219747、rs117110358、rs960145、rs75784062、rs1938523、rs11961283、rs1218927、rs7215223、rs1800414、rs4676258、rs17761864、rs6534152、rs75706735、rs3087882、rs1425664、rs3805322、rs191503015、rs2252523、rs330613、rs529648、rs10779022、rs470097、rs11951174、rs552747、rs694979、rs4664076、rs2004640、rs732964、rs3731619、rs118013552、rs1153312、rs9851482、rs4388529、rs76097649、rs36054791、rs7646841、rs12902516、rs4868489、rs1547384、rs10118031、rs1481532、rs79286931、rs117973996、rs702874、rs189773872、rs12343502、rs650643、rs78838732、rs4819880、rs1539400、rs4606378、rs75641656、rs59124406、rs12467509、rs7031579、rs75640933、rs34907273、rs34622615、rs6963146、rs59318859、rs112278203、rs192275649、rs11151774、rs10481740、rs9315851、rs4811746、rs184018630、rs7199618、rs7908745、rs67084543、rs117606234、rs7213207、rs12477073、rs12216275、rs76179470、rs9858096、rs10748948、rs11038047、rs73347189、rs707570、rs79375035、rs1916636、rs155430、rs190475463、rs6414812、rs9319324、rs7324378、rs61635519、rs142500102、rs7464769、rs78325192、rs6564894、rs16872628、rs11737099、rs248375、rs4128764、rs11711432、rs13321156、rs114201943、rs2246092、rs146215929、rs142050208、rs4573036、rs4848147、rs17168814、rs1363959、rs1235183、rs827943、rs79725250、rs67951720、rs10461161、rs77253331、rs529443、rs10764238、rs16962840、rs1519252、rs701035、rs26807、rs375341258、rs2229437、rs1226900、rs2178658、rs10074392、rs2313635、rs1518651、rs1272513、rs13101861、rs7108930、rs1394322、rs17182867、rs1359082、rs189006806、rs4905972、rs4859259、rs8100623、rs78944830、rs3861081、rs9859653、rs6682862、rs17801274、rs75825481、rs10789496、rs11184238、rs10738433、rs9375427、rs332882、rs80120375、rs73760095、rs3205525、rs4265096、rs6449020、rs56303640、rs12149371、rs2633640、rs4077788、rs12041834、rs17837880、rs1541907、rs12684747、rs74325411、rs79735904、rs6124298、rs145581256、rs10907175、rs822602、rs7022922、rs3820508、rs6771286、rs548282337、rs6603821、rs972514、rs4749009、rs7780254、rs2182760、rs150231433、rs9868510、rs76864445、rs10057227、rs2670277、rs11665521、rs9920254、rs10507873、rs77890925、rs72632294、rs11785202、rs73076259、rs73208859、rs6554679、rs1048687、rs7241961、rs3844582、rs12955955、rs7216064、rs6434006、rs10021833、rs76269467、rs171248、rs2772215、rs7531806、rs4928080、rs73442789、rs66634112、rs2290741、rs10497873、rs6746296、rs56167623、rs150927421、rs11114932、rs4808554、rs3759348、rs2826382、rs11712165、rs16870120、rs1380263、rs2355990、rs602052、rs6061194、rs1567675、rs143764885、rs11809542、rs77258944、rs6508610、rs2233334、rs77764699、rs12623569、rs11080557、rs192617897、rs10091038、rs9572551、rs7757002、rs114876190、rs9321156、rs10735536、rs78613593、rs6669773、rs2399596、rs6554337、rs7701255、rs1840662、rs9894902、rs150879578、rs1398205、rs12714456、rs59894615、rs2258974、rs57932506、rs75624581、rs11097533、rs4804410、rs143829220、rs111711334、rs190893539、rs6951072、rs12599436、rs562032554、rs141985564、rs11028、rs57361682、rs28522973、rs4630564、rs4112305、rs299412、rs13179463、rs75429994、rs522737、rs891971、rs3798734、rs1283703、rs736666、rs500063、rs191913215、rs16893890、rs1862147、rs4852032、rs2075982、rs9354070、rs940746、rs7026444、rs11993705、rs1989806、rs78305131、rs147881435、rs12337458、rs13205612、rs74546023、rs876302、rs1860781、rs56247310、rs3785901、rs494818、rs4483821、rs149633080、rs5884118、rs872570、rs145141178、rs117121165、rs78139751、rs2968122、rs4933484、rs11889675、rs2147673、rs6745226、rs76330352、rs267238、rs80228310、rs16856807、rs1870340、rs6509510、rs7303111、rs3751972、rs7525571、rs78830621、rs573320、rs2192838、rs7320723、rs118080773、rs369655、rs3088093、rs735936、rs16974824、rs10197806、rs57505558、rs2363821、rs7173120、rs77301984、rs7938677、rs2286219、rs28579719、rs2614170、rs113332649、rs2351938、rs10804678、rs7555626、rs11022350、rs2295590、rs12582831、rs2835539、rs1338935、rs7025924、rs75193889、rs831750、rs11058957、rs17134506、rs79637342、rs13261217、rs11693564、rs2200522、rs1892001、rs79097140、rs117950610、rs72986566、rs11923975、rs6831283、rs9823517、rs4743335、rs7896345、rs9647128、rs186462828、rs2305649、rs1227012、rs776768、rs2827525、rs72681614、rs139845381、rs7784748、rs75455748、rs34733654、rs12546380、rs6813540、rs76199938, rs6995955, rs181850411, rs368825656, rs12871441, rs11622031, rs12188862, rs798017, rs17793362, rs76750785, rs75998368, rs10425081, rs12220770, rs6454815, rs4998924, rs12406284, rs12026084, rs61497694, rs4489930, rs4859721, rs10025242, rs4654899, rs12486275, rs139562677, rs1480749, rs150356800, rs55905780, rs117660352, rs6012893, rs6013471, rs34169189, rs13060241, rs2144208, rs116468624, rs55740449, rs61054943, rs77223599, rs10487384, rs1972583, rs10763995, rs993283, rs658501, rs113964080, rs79936638, rs10138228, rs10078261, rs74625131, rs10927977, rs61746541, rs6935372 and rs2584737; Or SNP marker combination 6: rs28895016, rs118175675, rs118167662, rs199950179, rs4246215, rs114727280, rs10018155, rs12606223, rs61737471, rs186506615, rs8030528, rs453755, rs8086803, rs17059735, rs2003155, rs142783462, rs1801133, rs1943674, rs7334180, rs17038632, rs17822931, rs12567990, rs80238849, rs8011928, rs2731763, rs10492574, rs1979556, rs6117562, rs2497587, rs13433503, rs117116959, rs2735028, 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rs7014624, rs73242075, rs6932814, rs4875051, rs138067855, rs144675390, rs142467644, rs60691325, rs12135103, rs2459585, rs117976461, rs1243188, rs2390378, rs299522, rs61733124, rs1206028, and rs74734807.

3. The method for constructing the SNP marker combination according to any one of claims 1 to 2, characterized in that: The construction method comprises the following steps: S1, calculating the allele frequency of each subpopulation; S2, calculating the square correlation coefficient r of the overall linkage disequilibrium value. 2 ; S3, configuration file; S4, run AIM-generator, select I n The SNP sites with high values ​​were combined.

4. The construction method according to claim 3, characterized in that: The step S1 comprises: calculating the allele frequency based on PLINK software using the following code: plink --bfile pop --double-id --snps-only --freq --make-bed --keep-allele-order --out pop; The step S2 comprises: based on PLINK software, using the following code to calculate the square correlation coefficient r of the overall linkage disequilibrium value: 2 :plink--vcf 5pop.vcf.gz--double-id--snps-only--r2--ld-window-kb 2000--ld-window 99999999--ld-window-r2 0.2--make-bed--out5pop; The configuration file parameters described in step S3 are set as follows: ldthresh=0.2, hetthresh=0.01, distances=1000000, nraims=50 / 100 / 250 / 500 / 1000 / 2000.

5. Use of the SNP marker combination according to any one of claims 1 to 2 in preparing a model or a kit for inferring the biogeographical origin of a population.

6. A model for inferring the biogeographical origins of a population, characterized in that: The model comprises the SNP marker combination according to any one of claims 1-2, and an artificial intelligence model is constructed based on a random forest method.

7. The model according to claim 6, characterized in that The random forest method includes: randomly selecting 70% of the samples as training sets and 30% of the samples as test sets, using the PC1-PC10 data of the principal component analysis results and the Q file of the ADMIXTURE optimal K as input data, and applying the five-fold crossover method of the random forest method in machine learning to build an artificial intelligence model.

8. A kit for inferring the biogeographical origin of a population, characterized in that: The kit comprises the primers or gene chip of the SNP marker combination according to any one of claims 1-2.

9. Use of the SNP marker combination according to any one of claims 1 to 2, the model according to any one of claims 6 to 7, and the kit according to claim 8 in inferring the biogeographical origin of a population.

10. The use according to claim 9, characterized in that: The population includes northern Chinese Han, southern Chinese Han, Miao-Yao, Tibeto-Burman and / or Zhuang-Dong language families.

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