SNP loci combination and application for molecular identification of 20 Tibetan sheep breeds based on XGBoost model

Abstract

The present invention belongs to the field of bioinformatics and livestock and poultry germplasm resource variety protection. The present invention provides a combination of SNP sites for molecular identification of 20 Tibetan sheep varieties based on the XGBoost model and its application. The SNP site combination provided by the present invention includes 1192 SNP sites. More specifically, in the present invention, the genotype of the whole genome SNP site combination of each Tibetan sheep individual is replaced by 0 for the wild genotype, 1 for the heterozygous genotype, and 2 for the mutant genotype, and is input into the trained XGBoost model to obtain the Tibetan sheep variety information of the individual to be detected. Based on the idea of ​​machine learning, the present invention fully combines the correlation between site genotype and variety, and has the remarkable effect of fast prediction speed and high prediction accuracy.

Description

Technical Field

[0001] The present invention relates to the fields of bioinformatics and livestock and poultry germplasm resource variety protection, and in particular to a SNP site combination and application for molecular identification of 20 Tibetan sheep varieties based on an XGBoost model. Background Art

[0002] Tibetan sheep live in the high-altitude Qinghai-Tibet Plateau. The harsh ecological environment has created the characteristics of Tibetan sheep such as strong adaptability, high immunity, and a wide range of feed. They are the main means of production and living for farmers and herdsmen in the Qinghai-Tibet Plateau. The Qinghai-Tibet Plateau is large in area, and historically traffic congestion, natural isolation barriers of high mountains and valleys, and cultural customs have formed a rich population of Tibetan sheep genetic resources. But at the same time, there are problems such as the lack of basic data on genetic resources in the Qinghai-Tibet Plateau, weak resource identification and excavation technology, and insufficient protection and development and utilization of excellent resources. Therefore, it is difficult to scientifically classify and accurately identify these Tibetan sheep groups based only on region, appearance characteristics, and production performance. Various different naming methods, rough division methods, and lack of genetic information will become obstacles to the promotion and variety selection of Tibetan sheep.

[0003] In recent years, machine learning algorithms have received widespread attention in the field of biology, and have a high accuracy in diagnosis, medical image recognition, and disease prognosis prediction. Machine learning is a way to study algorithms and statistical models and let computer systems use these algorithms and statistical models to perform specific tasks by relying on patterns and reasoning without using explicit instructions.

[0004] XGBoost (extremeGradient Boosting) is one of the most commonly used maximum likelihood algorithms. It is a high-performance gradient boosting tree model. Compared with the traditional GBDT (gradient boosting decision tree) algorithm, XGBoost adds a regularization term to control the complexity of the model, which helps prevent the model from overfitting and speeds up the convergence speed, thereby improving the generalization ability of the model.

[0005] Due to the development of sheep chip technology, many SNP sites have been obtained. However, using all chip SNP sites and traditional biological methods to distinguish multiple Tibetan sheep breeds is not only time-consuming and labor-intensive, but also relatively expensive. Based on the XGBoost algorithm, most of the SNP sites with low discrimination can be removed to obtain a specific SNP site combination. Using this SNP site combination, Tibetan sheep populations of different breeds can be accurately distinguished and identified. Summary of the invention

[0006] In order to solve the defects in the prior art, the present invention provides a SNP site combination and application for molecular identification of 20 Tibetan sheep breeds based on the XGBoost model.

[0007] In a first aspect, the present invention provides a Tibetan sheep whole genome SNP site combination, and the process of obtaining the Tibetan sheep whole genome SNP site combination is: obtaining DNA of Tibetan sheep breeds, using Affymetrix Ovine 600K chip to perform genotype determination, performing inter-population FST analysis after quality control of the obtained SNPs; sorting in descending order of FST values ​​to obtain candidate specific SNP sites;

[0008] Among the candidate specific SNP sites, the SNP sites existing in different breeds are deleted; the SNP sites without discrimination are deleted using the variance selection filtering method, and the SNP sites with discrimination are retained, that is, the SNP site combination of the whole genome of Tibetan sheep.

[0009] The present invention provides a whole-genome SNP site combination of Tibetan sheep, and the Tibetan sheep breeds are two or more of Awang sheep, Doma sheep, Gamba sheep, Horba sheep, Gyangze sheep, Langkazi sheep, Zuogong sheep, black Tibetan sheep, Qilian Tibetan sheep, Qinghai Oula sheep, valley-type Tibetan sheep, Zeku sheep, Ganga sheep, Gansu Oula sheep, Qiaoke sheep, Jianchuan sheep, Ninglang sheep, Gongga sheep, Jialuo sheep and Zhaxika sheep.

[0010] The Tibetan sheep whole genome SNP site combination provided by the present invention includes 1192 SNP sites; the physical positions of the 1192 SNP sites are determined based on the sheep whole genome Oar_v3.1 version, and the variation information of the SNP sites is represented in the form of (chromosome number_physical position reference genotype / allele type).

[0011] In a second aspect, the present invention provides an XGBoost model for molecular identification of Tibetan sheep breeds. For the genotype of the SNP site of each Tibetan sheep individual, the wild genotype is replaced by 0, the heterozygous genotype is replaced by 1, and the mutant genotype is replaced by 2 to obtain a data set; the data set is divided into a training set and a validation set, the training set is used to train the XGBoost model, and the validation set is used to evaluate the prediction accuracy of the trained XGBoost model; the XGBoost model for molecular identification of Tibetan sheep breeds is obtained.

[0012] In the XGBoost model for molecular identification of Tibetan sheep breeds provided by the present invention, the SNP site is the above-mentioned combination of SNP sites in the whole genome of Tibetan sheep; the XGBoost model is an integrated algorithm composed of multiple decision trees, and the training set data obtained in the above steps is used as an input sample, denoted as x, and the formula for classifying the input sample using the XGBoost model is as follows:

[0013]

[0014] Among them, k is the total number of trees, f k represents the kth tree, Represents the sample x i prediction results.

[0015] The XGBoost algorithm is an algorithm based on boosting trees. It uses negative gradients to simulate residuals and uses a tree to "fit" the residuals of the previous round. Each tree can be understood as a fitting function. For the first fitting function, the difference between the predicted value and the true value is the residual, which is used to fit the next fitting function until the entire model has a good prediction effect.

[0016] The present invention also provides the application of the above-mentioned Tibetan sheep whole genome SNP site combination in identifying Tibetan sheep breeds.

[0017] In a third aspect, the present invention provides a classification method for molecular identification of Tibetan sheep breeds based on an XGBoost model, wherein the whole genome SNP site combination information of the Tibetan sheep to be tested is preprocessed and then input into the XGBoost model to obtain the Tibetan sheep breed information of the individual to be tested;

[0018] The preprocessing is: replacing the wild genotype with 0, the heterozygous genotype with 1, and the mutant genotype with 2 for the genotype of each locus of the individual to obtain a data set; and filling the missing values ​​of the data set by using five-neighborhood missing value interpolation.

[0019] The five-neighborhood missing value interpolation is to fill the missing value position with the average value of the five values ​​before and after the missing value.

[0020] In the classification method provided by the present invention, the preprocessed sample genotype data is divided into a training set and a validation set, the training set is used to train the XGBoost model, and the validation set is used to evaluate the prediction accuracy of the trained XGBoost model.

[0021] In the classification method provided by the present invention, the prediction accuracy evaluation refers to: obtaining predictions in the process of using a validation set to evaluate the prediction accuracy of a trained XGBoost classifier model; using a mean operating characteristic (ROC) curve, accuracy, kappa value, and f1-score value to evaluate the prediction model in the validation data.

[0022] The present invention also provides the application of the above-mentioned Tibetan sheep whole genome SNP site combination or the above-mentioned XGBoost model for molecular identification of Tibetan sheep varieties or the above-mentioned classification method in marker-assisted major effect gene selection, backcross breeding and background selection, molecular-assisted breeding, whole genome breeding, whole genome association analysis, QTL analysis, species evolution analysis or germplasm resource identification.

[0023] Compared with the prior art, the beneficial effects achieved by the present invention are as follows:

[0024] (1) The present invention constructs a set of SNP loci containing 1192 loci. Compared with the population genomics method, it can greatly reduce the number of SNP loci, reduce the sequencing cost, and shorten the prediction time of the samples to be tested.

[0025] (2) The marker loci selected by the present invention are all loci with significant differences among varieties, and loci that exist in multiple varieties are deleted, thereby improving the accuracy of the markers.

[0026] (3) The present invention is based on the idea of ​​machine learning and fully understands the correlation between locus genotype and variety, and has the remarkable effect of fast prediction speed and high prediction accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0028] Figure 1 It is the ROC curve of the XGBoost classification model of the present invention. DETAILED DESCRIPTION

[0029] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be described clearly and completely below. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0030] Example 1

[0031] This embodiment provides a combination of SNP sites for molecular identification of local Tibetan sheep breeds in China based on the XGBoost model. It includes 1192 SNP sites, each of which contains two different base variation sites for detecting allele changes at the site. The physical positions of the 1192 SNP sites are determined based on the whole genome Oar_v3.1 version of sheep, and the variation information of the SNP sites is represented in the form of (chromosome number_physical position reference genotype / allele type). The 1192 SNP sites are shown in TS0001-1192.

[0032] TS0001:1_2836390G / A;TS0002:1_7594463G / A;TS0003:1_8522843G / A;TS0004:1_8540529G / A;TS0005:1_9312306A / G;TS0006:1_9831527C / T;TS0007:1_11757641T / C;TS0008:1_11849494C / T;TS0009:1_13732960T / C;TS0010:1_14446412T / G;TS0011:1_16945828G / T;TS0012:1_19278856C / T;TS0013:1_19721811T / C;TS0014:1_21522026A / G;TS0015:1_21768526T / G;TS0016:1_23057579C / T;TS0017:1_23252350C / T;TS0018:1_23542548C / A;TS0019:1_23549866T / C;TS0020:1_23608642T / C;TS0021:1_23809074T / C;TS0022:1_28234032A / G;TS0023:1_28239662A / G;TS0024:1_28714481C / A;TS0025:1_29583682C / T;TS0026:1_31155423C / A;TS0027:1_43311580T / G;TS0028:1_53053035A / G;TS0029:1_58511103A / G;TS0030:1_60770381C / T;TS0031:1_68170066A / G;TS0032:1_70672331T / G;TS0033:1_77167647T / C;TS0034:1_77455864C / A;TS0035:1_77617559G / A;TS0036:1_81693129T / C;TS0037:1_87154717A / G;TS0038:1_90367966C / T;TS0039:1_91854391G / A;TS0040:1_101183944C / T;TS0041:1_101190508A / G;TS0042:1_101213377G / T;TS0043:1_105195735A / C;TS0044:1_110730848C / T;TS0045:1_116624720G / A;TS0046:1_120402752T / C;TS0047:1_127088175T / C;TS0048:1_133659929G / A;TS0049:1_134487625G / T;TS0050:1_135019247C / T;TS0051:1_135049446G / A;

[0033] TS0052:1_135140067 G / A;TS0053:1_135140819 A / C;TS0054:1_135277041 T / C;

[0034] TS0055:1_135278957 A / C;TS0056:1_137875000 A / C;TS0057:1_138734639 T / C;

[0035] TS0058:1_140708385 A / G;TS0059:1_141619293 C / T;TS0060:1_143662195 G / A;

[0036] TS0061:1_144207940 T / C;TS0062:1_145702783 C / T;TS0063:1_146088721 T / C;

[0037] TS0064:1_155751670 C / T;TS0065:1_163869229 T / C;TS0066:1_171020895 A / G;

[0038] TS0067:1_175998134 C / A;TS0068:1_177656339 C / T;TS0069:1_181075102 G / A;

[0039] TS0070:1_198366741 A / G;TS0071:1_198410688 A / C;TS0072:1_201179654 T / C;

[0040] TS0073:1_201934378 T / C;TS0074:1_201974234 A / G;TS0075:1_201978953 C / T;

[0041] TS0076:1_201997288 G / A;TS0077:1_202350271 G / A;TS0078:1_204534824 C / A;

[0042] TS0079:1_204540018 T / C;TS0080:1_204542396 G / A;TS0081:1_205706470 A / G;

[0043] TS0082:1_205782536 C / T;TS0083:1_205933057 T / C;TS0084:1_207596163 C / T;

[0044] TS0085:1_212607975 A / G;TS0086:1_212608071 T / C;TS0087:1_213469193 G / A;

[0045] TS0088:1_214745520 T / C;TS0089:1_220090723 C / A;TS0090:1_224546637 T / C;

[0046] TS0091:1_226999811 T / C;TS0092:1_245571668 G / A;TS0093:1_246483820 G / A;

[0047] TS0094:1_246492698 G / A;TS0095:1_250014022 C / T;TS0096:1_251923332 G / T;

[0048] TS0097:1_253550181 G / A;TS0098:1_256962657 T / C;TS0099:1_259373595 G / A;

[0049] TS0100:1_260987074 T / C;TS0101:1_261037237 C / T;TS0102:1_261042186 A / G;

[0050] TS0103:1_265639990 C / A;TS0104:1_267512686 T / C;TS0105:2_2374059 G / T;

[0051] TS0106:2_2377346 G / A;TS0107:2_7184299 A / G;TS0108:2_11717668 T / C;

[0052] TS0109:2_14827411 T / C;TS0110:2_17313603 C / T;TS0111:2_21928040 A / G;

[0053] TS0112:2_23823422 C / A;TS0113:2_23834559 T / G;TS0114:2_23837463 A / G;

[0054] TS0115:2_25235707 A / C;TS0116:2_25386745 T / C;TS0117:2_32253546 C / T;

[0055] TS0118:2_32253609 C / T;TS0119:2_33565149 C / T;TS0120:2_33587361 T / C;

[0056] TS0121:2_35092913 C / T;TS0122:2_35094085 A / G;TS0123:2_35094860 T / C;

[0057] TS0124:2_35119040 T / G;TS0125:2_35133401 C / T;TS0126:2_35149537 C / T;

[0058] TS0127:2_35149627 G / A;TS0128:2_35306283 C / T;TS0129:2_35322583 C / T;

[0059] TS0130:2_36605441 C / T;TS0131:2_37408139 T / C;TS0132:2_41174065 A / G;

[0060] TS0133:2_42281710 C / T;TS0134:2_43436948 C / T;TS0135:2_43448504 T / C;

[0061] TS0136:2_46194224 C / T;TS0137:2_46818852 C / T;TS0138:2_51536570 G / A;

[0062] TS0139:2_51548028 A / G;TS0140:2_51551346 G / A;TS0141:2_51601355 G / A;

[0063] TS0142:2_52094802 A / G;TS0143:2_52404448 G / A;TS0144:2_52411391 A / G;

[0064] TS0145:2_52525954 C / T;TS0146:2_52588001 G / T;TS0147:2_52621262 C / T;

[0065] TS0148:2_52697939 T / C;TS0149:2_52716368 G / A;TS0150:2_52745546 A / G;

[0066] TS0151:2_52781125 T / C;TS0152:2_52837894 C / T;TS0153:2_52872172 C / T;

[0067] TS0154:2_52987794 A / G;TS0155:2_53033737 T / C;TS0156:2_53044188 T / C;

[0068] TS0157:2_53049414 G / T;TS0158:2_53071036 A / G;TS0159:2_53075348 T / C;

[0069] TS0160:2_53083217 C / T;TS0161:2_53084682 A / G;TS0162:2_53090964 A / G;

[0070] TS0163:2_53101054 G / A;TS0164:2_53106453 G / A;TS0165:2_53666473 G / A;

[0071] TS0166:2_55645724 T / G;TS0167:2_55743009 G / A;TS0168:2_59483043 A / G;

[0072] TS0169:2_59642894 C / T;TS0170:2_66013022 C / T;TS0171:2_66040087 G / A;

[0073] TS0172:2_66578942 C / T;TS0173:2_67811885 A / G;TS0174:2_68477115 C / T;

[0074] TS0175:2_75695367 A / G;TS0176:2_76799074 A / G;TS0177:2_84602398 G / A;

[0075] TS0178:2_93559661 A / G;TS0179:2_93948793 T / C;TS0180:2_95521288 G / A;

[0076] TS0181:2_97998479 T / C;TS0182:2_98845054 A / G;TS0183:2_99427585 T / C;

[0077] TS0184:2_103880970 G / A;TS0185:2_108235636 C / T;TS0186:2_117653227 T / C;

[0078] TS0187:2_124932035 C / T;TS0188:2_124945939 C / A;TS0189:2_132396510 G / A;

[0079] TS0190:2_132940252 G / T;TS0191:2_132968503 T / C;TS0192:2_132976143 T / C;

[0080] TS0193:2_132976443 T / C;TS0194:2_136296324 C / T;TS0195:2_137001786 T / C;

[0081] TS0196:2_137002500 C / T;TS0197:2_143418334 C / T;TS0198:2_143557270 T / C;

[0082] TS0199:2_143562450 A / G;TS0200:2_146633267 C / A;TS0201:2_157609061 G / A;

[0083] TS0202:2_158257517 C / T;TS0203:2_158988842 T / G;TS0204:2_165371423 C / T;

[0084] TS0205:2_165385190 A / G;TS0206:2_165397933 T / C;TS0207:2_166229901 A / G;

[0085] TS0208:2_185718743 C / T;TS0209:2_187934165 C / T;TS0210:2_193666226 T / G;

[0086] TS0211:2_194790420 T / G;TS0212:2_195311648 T / G;TS0213:2_204467125 A / G;

[0087] TS0214:2_204468589 C / T;TS0215:2_204539381 C / T;TS0216:2_204553865 C / T;

[0088] TS0217:2_204592610 C / T;TS0218:2_207744010 A / G;TS0219:2_210895353 A / G;

[0089] TS0220:2_218748057 C / A;TS0221:2_218776903 G / A;TS0222:2_221401502 T / C;

[0090] TS0223:2_222932104 T / C;TS0224:2_225851429 G / A;TS0225:2_230498938 T / C;

[0091] TS0226:2_231185546 C / T;TS0227:2_231187650 C / T;TS0228:2_232885096 A / G;

[0092] TS0229:2_233031304 A / G;TS0230:2_233689124 C / T;TS0231:2_233930053 G / A;

[0093] TS0232:2_238172051 G / T;TS0233:2_239908885 A / G;TS0234:2_239914860 C / T;

[0094] TS0235:2_241770451 T / G;TS0236:2_241786722 G / A;TS0237:2_242874499 T / C;

[0095] TS0238:2_242888232 G / A;TS0239:2_242903483 T / C;TS0240:2_243198318 C / T;

[0096] TS0241:2_243221701 A / G;TS0242:2_248161603 C / T;TS0243:3_3523587 C / T;

[0097] TS0244:3_4069244 A / C;TS0245:3_9424936 G / A;TS0246:3_9460145 T / C;

[0098] TS0247:3_9957281 G / A;TS0248:3_10039958 C / T;TS0249:3_10437411 C / T;

[0099] TS0250:3_10485348 G / A;TS0251:3_10494845 G / A;TS0252:3_10503486 G / A;

[0100] TS0253:3_11343749 G / A;TS0254:3_13253825 T / C;TS0255:3_15291915 G / A;

[0101] TS0256:3_15735480 A / G;TS0257:3_17891230 C / T;TS0258:3_21152596 A / G;

[0102] TS0259:3_22480041 T / C;TS0260:3_24404955 G / A;TS0261:3_25569005 C / T;

[0103] TS0262:3_26730402 A / G;TS0263:3_26736304 G / A;TS0264:3_26744295 G / A;

[0104] TS0265:3_26761394 G / T;TS0266:3_28128027 G / A;TS0267:3_28718577 C / A;

[0105] TS0268:3_29893135 C / T;TS0269:3_30774855 G / A;TS0270:3_31582358 A / C;

[0106] TS0271:3_31670192 A / G;TS0272:3_32521077 A / C;TS0273:3_32523829 A / C;

[0107] TS0274:3_34609120 G / A;TS0275:3_34629900 G / A;TS0276:3_34891686 A / G;

[0108] TS0277:3_34901981 A / G;TS0278:3_34919109 A / G;TS0279:3_34931901 A / C;

[0109] TS0280:3_34933557 A / G;TS0281:3_34942740 C / T;TS0282:3_34958758 A / G;

[0110] TS0283:3_38752459 C / T;TS0284:3_38753847 T / C;TS0285:3_39508109 A / C;

[0111] TS0286:3_40392380 C / T;TS0287:3_40490968 C / T;TS0288:3_40496764 T / C;

[0112] TS0289:3_40547228 T / C;TS0290:3_40894279 A / C;TS0291:3_41609765 G / A;

[0113] TS0292:3_41618010 G / A;TS0293:3_43696243 C / T;TS0294:3_44051186 A / G;

[0114] TS0295:3_44923472 G / A;TS0296:3_47929578 G / A;TS0297:3_48065301 A / C;

[0115] TS0298:3_51389472 C / T;TS0299:3_59362133 A / G;TS0300:3_62933555 G / A;

[0116] TS0301:3_62935376 C / A;TS0302:3_63874936 G / A;TS0303:3_65011350 G / A;

[0117] TS0304:3_65718570 A / C;TS0305:3_72705042 G / A;TS0306:3_73397767 A / C;

[0118] TS0307:3_74505663 G / A;TS0308:3_74525910 C / T;TS0309:3_75574940 G / A;

[0119] TS0310:3_75645210 T / G;TS0311:3_76226269 C / T;TS0312:3_77597725 T / C;

[0120] TS0313:3_77606951 T / C;TS0314:3_78987740 G / A;TS0315:3_79250128 A / G;

[0121] TS0316:3_80945526 C / T;TS0317:3_87632192 G / A;TS0318:3_87640132 C / A;

[0122] TS0319:3_87650669 A / G;TS0320:3_88709119 G / A;TS0321:3_93315918 T / C;

[0123] TS0322:3_94202264 G / A;TS0323:3_95377847 C / T;TS0324:3_95384224 T / G;

[0124] TS0325:3_95656208 T / C;TS0326:3_99246368 T / C;TS0327:3_100331684 T / C;

[0125] TS0328:3_100371604 A / G;TS0329:3_100379297 G / A;TS0330:3_103294708 G / A;

[0126] TS0331:3_103300619 G / A;TS0332:3_103300907 T / C;TS0333:3_117836161 A / G;

[0127] TS0334:3_119421709 T / C;TS0335:3_119442451 G / T;TS0336:3_119443021 G / A;

[0128] TS0337:3_123087078 A / G;TS0338:3_123271498 A / G;TS0339:3_123947032 C / A;

[0129] TS0340:3_124447652 C / A;TS0341:3_129760144 A / G;TS0342:3_129828873 C / T;

[0130] TS0343:3_131331499 A / C;TS0344:3_131779166 A / G;TS0345:3_131783426 T / C;

[0131] TS0346:3_131876955 A / G;TS0347:3_133693416 G / A;TS0348:3_133772445 C / A;

[0132] TS0349:3_143952764 A / G;TS0350:3_145098844 T / C;TS0351:3_145886613 A / G;

[0133] TS0352:3_145918762 C / A;TS0353:3_145984362 G / A;TS0354:3_146445847 G / T;

[0134] TS0355:3_146448716 T / C;TS0356:3_146555529 G / A;TS0357:3_148189989 G / A;

[0135] TS0358:3_151005501 G / A;TS0359:3_156957298 T / C;TS0360:3_163678722 A / G;

[0136] TS0361:3_163804047 C / T;TS0362:3_163834191 C / T;TS0363:3_165118795 T / C;

[0137] TS0364:3_167046651 C / T;TS0365:3_167997696 C / T;TS0366:3_169462595 T / C;

[0138] TS0367:3_173673644 G / A;TS0368:3_179203910 T / C;TS0369:3_190548880 C / A;

[0139] TS0370:3_197938332 C / T;TS0371:3_201968014 A / C;TS0372:3_203077585 T / C;

[0140] TS0373:3_203645096 A / G;TS0374:3_203649646 G / A;TS0375:3_206881723 C / A;

[0141] TS0376:3_209547893 G / A;TS0377:3_210984105 C / A;TS0378:3_211405973 T / C;

[0142] TS0379:3_212071221 C / T;TS0380:3_219405745 T / C;TS0381:3_220959316 T / C;

[0143] TS0382:3_221112592 G / A;TS0383:3_223182540 T / C;TS0384:4_4548536 C / T;

[0144] TS0385:4_5046387 T / C;TS0386:4_5650760 G / A;TS0387:4_9952573 G / A;

[0145] TS0388:4_9953142 T / C;TS0389:4_10062007 G / A;TS0390:4_10532668 A / G;

[0146] TS0391:4_10547760 T / C;TS0392:4_10935314 A / G;TS0393:4_14571969 A / G;

[0147] TS0394:4_23427767 G / T;TS0395:4_30516829 C / T;TS0396:4_30568409 C / T;

[0148] TS0397:4_31994779 C / T;TS0398:4_32201114 G / T;TS0399:4_34619799 C / T;

[0149] TS0400:4_35288996 C / T;TS0401:4_38023099 C / T;TS0402:4_40825846 G / T;

[0150] TS0403:4_54457654 A / G;TS0404:4_54609336 C / A;TS0405:4_55107166 C / T;

[0151] TS0406:4_61418483 C / A;TS0407:4_66059114 C / T;TS0408:4_68436107 G / A;

[0152] TS0409:4_71022623 G / C;TS0410:4_88995392 G / A;TS0411:4_89094415 T / G;

[0153] TS0412:4_91885579 G / A;TS0413:4_96685200 G / A;TS0414:4_96733515 T / C;

[0154] TS0415:4_97456713 T / C;TS0416:4_103224760 A / C;TS0417:4_103234797 C / T;

[0155] TS0418:4_104104136 G / A;TS0419:4_104118322 T / C;TS0420:4_104791828 G / A;

[0156] TS0421:4_110425332 T / C;TS0422:4_111487281 A / G;TS0423:4_111790574 C / T;

[0157] TS0424:4_111791594 C / G;TS0425:4_113185983 G / A;TS0426:4_117243502 C / T;

[0158] TS0427:4_117304523 C / T;TS0428:5_2369236 G / T;TS0429:5_3708215 G / A;

[0159] TS0430:5_5629789 C / T;TS0431:5_5998028 T / C;TS0432:5_6762801 A / G;

[0160] TS0433:5_8855228 A / G;TS0434:5_9409055 G / A;TS0435:5_9423404 G / A;

[0161] TS0436:5_12950796 T / C;TS0437:5_17843227 G / A;TS0438:5_17861464 G / A;

[0162] TS0439:5_21427478 C / T;TS0440:5_25975814 G / A;TS0441:5_26527483 C / T;

[0163] TS0442:5_26532335 C / T;TS0443:5_27242947 C / T;TS0444:5_28800862 C / A;

[0164] TS0445:5_29527358 G / A;TS0446:5_34032344 A / G;TS0447:5_34050503 G / A;

[0165] TS0448:5_34536988 G / A;TS0449:5_34546185 G / A;TS0450:5_34586851 G / A;

[0166] TS0451:5_34713899 T / C;TS0452:5_51782089 T / C;TS0453:5_51934194 A / C;

[0167] TS0454:5_55547243 C / A;TS0455:5_57624024 A / C;TS0456:5_63972310 C / T;

[0168] TS0457:5_74031736 A / C;TS0458:5_81094481 C / T;TS0459:5_81125366 G / T;

[0169] TS0460:5_82764143 C / T;TS0461:5_91049908 T / C;TS0462:5_91846131 T / C;

[0170] TS0463:5_92615724 C / T;TS0464:5_92829336 G / A;TS0465:5_96222371 C / T;

[0171] TS0466:5_97988284 T / C;TS0467:5_100901549 G / A;TS0468:5_104706428 T / C;

[0172] TS0469:6_3838707 C / T;TS0470:6_5620832 T / G;TS0471:6_6170619 C / T;

[0173] TS0472:6_6233337 T / C;TS0473:6_6264841 C / T;TS0474:6_9307950 C / A;

[0174] TS0475:6_13148465 C / T;TS0476:6_13310474 A / C;TS0477:6_13337133 C / T;

[0175] TS0478:6_18268162 C / T;TS0479:6_24709534 C / T;TS0480:6_24823871 G / A;

[0176] TS0481:6_32741565 A / G;TS0482:6_33257949 A / C;TS0483:6_42080844 C / T;

[0177] TS0484:6_42092805 G / A;TS0485:6_46172454 A / G;TS0486:6_46309786 A / C;

[0178] TS0487:6_48431336 C / T;TS0488:6_48456417 G / T;TS0489:6_48546620 T / C;

[0179] TS0490:6_53469003 C / T;TS0491:6_55062034 G / A;TS0492:6_55850936 G / A;

[0180] TS0493:6_58042371 T / C;TS0494:6_58241789 A / G;TS0495:6_62485597 A / G;

[0181] TS0496:6_62515962 C / T;TS0497:6_62528022 G / A;TS0498:6_64442953 C / T;

[0182] TS0499:6_68507189 G / A;TS0500:6_69160629 G / A;TS0501:6_69332134 C / T;

[0183] TS0502:6_69586893 T / C;TS0503:6_69989094 C / A;TS0504:6_70010727 G / A;

[0184] TS0505:6_71401759 A / C;TS0506:6_71577892 T / G;TS0507:6_88495617 G / A;

[0185] TS0508:6_88569491 C / A;TS0509:6_92040824 C / T;TS0510:6_92049985 A / G;

[0186] TS0511:6_93238391 A / G;TS0512:6_93555266 G / A;TS0513:6_94112314 C / T;

[0187] TS0514:6_94125722 T / C;TS0515:6_94998292 A / G;TS0516:6_98931950 G / A;

[0188] TS0517:6_99931927 A / G;TS0518:6_100235440 T / C;TS0519:6_100906402 G / A;

[0189] TS0520:6_104545987 C / T;TS0521:6_106191475 T / G;TS0522:6_109728303 G / A;

[0190] TS0523:6_109755562 A / G;TS0524:6_112887355 G / A;TS0525:6_113628246 G / A;

[0191] TS0526:6_113632761 T / C;TS0527:7_1359403 G / A;TS0528:7_3024961 G / A;

[0192] TS0529:7_4296848 C / A;TS0530:7_7383382 G / A;TS0531:7_10730857 G / A;

[0193] TS0532:7_11348980 A / G;TS0533:7_11366271 A / G;TS0534:7_11428926 G / A;

[0194] TS0535:7_13479484 T / C;TS0536:7_20885673 G / A;TS0537:7_30720444 C / A;

[0195] TS0538:7_32026755 T / C;TS0539:7_39015816 G / T;TS0540:7_42027860 G / A;

[0196] TS0541:7_45087539 T / C;TS0542:7_50177128 C / A;TS0543:7_50698366 A / G;

[0197] TS0544:7_50749782 G / A;TS0545:7_51236464 T / C;TS0546:7_56462325 C / T;

[0198] TS0547:7_56522615 C / T;TS0548:7_56789129 A / G;TS0549:7_57037059 T / C;

[0199] TS0550:7_62735885 G / A;TS0551:7_64228413 A / C;TS0552:7_66266244 C / T;

[0200] TS0553:7_67095162 T / C;TS0554:7_73952258 T / C;TS0555:7_75227617 G / A;

[0201] TS0556:7_77984215 G / T;TS0557:7_81718606 T / C;TS0558:7_81838953 A / G;

[0202] TS0559:7_84138032 G / A;TS0560:7_89152835 G / A;TS0561:7_89221794 G / A;

[0203] TS0562:7_89228504 G / T;TS0563:7_89302679 A / C;TS0564:7_89322529 T / C;

[0204] TS0565:7_89345811 A / G;TS0566:7_89346685 T / C;TS0567:7_89356647 A / G;

[0205] TS0568:7_89395172 T / C;TS0569:7_89418296 C / T;TS0570:7_89430525 A / G;

[0206] TS0571:7_89431097 G / C;TS0572:7_89435592 G / T;TS0573:7_91100398 G / T;

[0207] TS0574:7_92376084 C / T;TS0575:7_95765668 G / A;TS0576:8_3780826 C / A;

[0208] TS0577:8_6386581 A / G;TS0578:8_8970168 T / G;TS0579:8_9945664 A / C;

[0209] TS0580:8_9975938 T / G;TS0581:8_11658038 C / A;TS0582:8_15401400 A / C;

[0210] TS0583:8_20008354 C / T;TS0584:8_31133562 C / T;TS0585:8_31148326 C / T;

[0211] TS0586:8_33986546 G / T;TS0587:8_38057955 G / A;TS0588:8_46604155 G / A;

[0212] TS0589:8_49827260 A / G;TS0590:8_54655274 T / G;TS0591:8_69845340 T / C;

[0213] TS0592:8_69867483 T / C;TS0593:8_71224124 C / T;TS0594:8_72919022 T / G;

[0214] TS0595:8_78424209 A / G;TS0596:8_79745175 C / T;TS0597:8_83345369 G / A;

[0215] TS0598:8_87687516 G / A;TS0599:8_87735521 T / C;TS0600:8_87744180 G / A;

[0216] TS0601:8_88561673 A / G;TS0602:9_4540591 A / G;TS0603:9_9712968 A / G;

[0217] TS0604:9_13239418 A / G;TS0605:9_13250706 G / A;TS0606:9_14492326 A / G;

[0218] TS0607:9_14882990 T / C;TS0608:9_16861290 A / G;TS0609:9_22150773 G / A;

[0219] TS0610:9_25366139 G / A;TS0611:9_25843608 G / T;TS0612:9_27439865 T / C;

[0220] TS0613:9_29079733 C / T;TS0614:9_35955841 T / C;TS0615:9_36164331 T / C;

[0221] TS0616:9_36207512 G / A;TS0617:9_41048855 G / A;TS0618:9_41938605 A / G;

[0222] TS0619:9_43006183 G / A;TS0620:9_47978012 G / A;TS0621:9_53034715 C / T;

[0223] TS0622:9_53034877 T / C;TS0623:9_56727606 C / T;TS0624:9_57846614 G / T;

[0224] TS0625:9_58279402 G / A;TS0626:9_60216943 A / G;TS0627:9_64548432 C / T;

[0225] TS0628:9_71051235 T / C;TS0629:9_71067698 A / G;TS0630:9_71081272 T / C;

[0226] TS0631:9_71118833 A / G;TS0632:9_78738570 A / C;TS0633:9_78746219 T / C;

[0227] TS0634:9_78789670 G / A;TS0635:9_79796060 T / G;TS0636:9_82951673 G / A;

[0228] TS0637:9_84465191 G / T;TS0638:9_84700348 C / A;TS0639:9_93321862 G / A;

[0229] TS0640:10_2356671 A / G;TS0641:10_3197863 T / G;TS0642:10_12329980 T / C;

[0230] TS0643:10_12339027 T / G;TS0644:10_14889577 G / A;TS0645:10_29517383 C / T;

[0231] TS0646:10_29535013 G / A;TS0647:10_29568874 C / T;TS0648:10_29585412 G / T;

[0232] TS0649:10_29586896 T / C;TS0650:10_29602556 A / G;TS0651:10_29603575 A / G;

[0233] TS0652:10_29665112 C / T;TS0653:10_29688147 T / G;TS0654:10_30631166 A / G;

[0234] TS0655:10_30631928 T / C;TS0656:10_30632089 G / C;TS0657:10_31225122 G / A;

[0235] TS0658:10_31227233 A / G;TS0659:10_40872230 A / G;TS0660:10_41300950 G / A;

[0236] TS0661:10_49113830 T / C;TS0662:10_52576536 G / T;TS0663:10_53362398 C / T;

[0237] TS0664:10_58923826 C / T;TS0665:10_59289056 C / A;TS0666:10_62458932 T / C;

[0238] TS0667:10_67144486 T / C;TS0668:10_71302255 C / T;TS0669:10_74743223 A / G;

[0239] TS0670:10_76370816 C / A;TS0671:10_76376824 A / G;TS0672:10_76391662 C / T;

[0240] TS0673:10_76410079 G / A;TS0674:10_78765520 G / A;TS0675:10_81268704 G / T;

[0241] TS0676:10_82191924 G / A;TS0677:10_83284259 C / A;TS0678:10_84353868 A / G;

[0242] TS0679:10_84728362 G / A;TS0680:11_7516760 A / G;TS0681:11_15536587 G / A;

[0243] TS0682:11_19238334 T / C;TS0683:11_19250764 G / A;TS0684:11_20072226 T / C;

[0244] TS0685:11_25497694 A / G;TS0686:11_29511750 G / A;TS0687:11_34393329 C / T;

[0245] TS0688:11_35700327 C / T;TS0689:11_35700368 T / C;TS0690:11_36736674 A / G;

[0246] TS0691:11_40529515 C / T;TS0692:11_40539038 G / A;TS0693:11_40692441 C / T;

[0247] TS0694:11_41139966 C / T;TS0695:11_42565746 C / T;TS0696:11_42582268 C / T;

[0248] TS0697:11_42584286 T / C;TS0698:11_44521859 C / T;TS0699:11_48203139 C / T;

[0249] TS0700:11_57343593 G / T;TS0701:11_57501521 G / A;TS0702:11_60475588 C / T;

[0250] TS0703:11_62098212 T / C;TS0704:11_62117084 G / A;TS0705:11_62138002 C / T;

[0251] TS0706:12_645609 A / G;TS0707:12_1542514 G / A;TS0708:12_1563966 C / T;

[0252] TS0709:12_1587342 C / T;TS0710:12_2091041 G / A;TS0711:12_4016944 T / C;

[0253] TS0712:12_5160597 C / T;TS0713:12_8734321 G / A;TS0714:12_9725315 A / G;

[0254] TS0715:12_10320707 A / G;TS0716:12_10321550 T / C;TS0717:12_10364501 G / A;

[0255] TS0718:12_10384961 A / G;TS0719:12_10385234 A / G;TS0720:12_14185216 G / T;

[0256] TS0721:12_25871148 T / C;TS0722:12_27447015 T / C;TS0723:12_29647960 G / A;

[0257] TS0724:12_31691691 C / A;TS0725:12_36714526 T / C;TS0726:12_36716865 G / A;

[0258] TS0727:12_38065588 G / A;TS0728:12_39963178 C / G;TS0729:12_41849455 C / T;

[0259] TS0730:12_44031868 G / A;TS0731:12_45627339 C / T;TS0732:12_56584315 C / T;

[0260] TS0733:12_59135983 A / G;TS0734:12_59440692 G / T;TS0735:12_59457247 G / A;

[0261] TS0736:12_62801193 G / A;TS0737:12_71397821 G / A;TS0738:12_76708996 A / G;

[0262] TS0739:12_76740497 A / G;TS0740:12_78412601 C / G;TS0741:12_78419145 G / A;

[0263] TS0742:12_78424155 C / T;TS0743:12_78427631 T / C;TS0744:12_78427708 G / A;

[0264] TS0745:12_78433202 T / C;TS0746:13_5391359 T / C;TS0747:13_7603524 A / G;

[0265] TS0748:13_8801778 G / A;TS0749:13_14324927 A / G;TS0750:13_17954880 T / C;

[0266] TS0751:13_17954962 G / A;TS0752:13_24176920 G / A;TS0753:13_38483912 C / T;

[0267] TS0754:13_39781006 G / A;TS0755:13_42082869 T / G;TS0756:13_42083929 G / A;

[0268] TS0757:13_42094454 A / C;TS0758:13_42107849 C / T;TS0759:13_46786904 A / G;

[0269] TS0760:13_57421708 C / A;TS0761:13_58231835 G / A;TS0762:13_58829824 T / G;

[0270] TS0763:13_71551110 T / G;TS0764:13_78259248 C / T;TS0765:13_78321656 G / A;

[0271] TS0766:13_80818215 T / A;TS0767:14_3905653 T / C;TS0768:14_7057755 A / G;

[0272] TS0769:14_7974711 G / A;TS0770:14_10083956 A / G;TS0771:14_11425917 A / G;

[0273] TS0772:14_11650899 C / T;TS0773:14_11698309 C / T;TS0774:14_13866277 C / A;

[0274] TS0775:14_13891352 G / A;TS0776:14_13900688 G / A;TS0777:14_13912232 G / A;

[0275] TS0778:14_13955854 C / T;TS0779:14_13968934 C / A;TS0780:14_14251648 C / T;

[0276] TS0781:14_14253692 T / C;TS0782:14_14262963 G / A;TS0783:14_14311055 G / A;

[0277] TS0784:14_14324053 C / T;TS0785:14_14324839 C / T;TS0786:14_14364338 C / T;

[0278] TS0787:14_14760268 T / C;TS0788:14_19665163 A / G;TS0789:14_26045391 G / T;

[0279] TS0790:14_26067822 G / T;TS0791:14_34177984 G / C;TS0792:14_34196495 T / C;

[0280] TS0793:14_34364681 C / T;TS0794:14_34654247 G / T;TS0795:14_36420654 C / A;

[0281] TS0796:14_37263655 G / A;TS0797:14_39457049 C / T;TS0798:14_43766532 T / C;

[0282] TS0799:14_45278898 G / A;TS0800:14_47616562 C / T;TS0801:14_52699940 T / C;

[0283] TS0802:14_56310348 T / C;TS0803:14_56339682 G / T;TS0804:14_56359331 C / A;

[0284] TS0805:14_56359896 A / G;TS0806:14_59007881 C / T;TS0807:14_59299370 T / C;

[0285] TS0808:14_60436458 C / T;TS0809:15_12920806 A / G;TS0810:15_13124913 T / C;

[0286] TS0811:15_13584957 A / G;TS0812:15_14590163 T / G;TS0813:15_18163563 T / C;

[0287] TS0814:15_19495500 A / G;TS0815:15_23304822 T / C;TS0816:15_26648287 C / T;

[0288] TS0817:15_26669547 C / T;TS0818:15_27830680 T / C;TS0819:15_27838258 A / G;

[0289] TS0820:15_27847632 T / C;TS0821:15_28180725 A / G;TS0822:15_33263720 G / T;

[0290] TS0823:15_37059286 C / T;TS0824:15_40319254 C / T;TS0825:15_45217868 A / C;

[0291] TS0826:15_46344639 A / C;TS0827:15_58008939 C / T;TS0828:15_61915452 G / A;

[0292] TS0829:15_63466260 T / C;TS0830:15_65697969 T / C;TS0831:15_66282904 T / C;

[0293] TS0832:15_66712084 T / C;TS0833:15_68690219 T / G;TS0834:15_71084393 G / A;

[0294] TS0835:15_71440047 A / G;TS0836:15_71657175 C / A;TS0837:15_75156802 G / A;

[0295] TS0838:16_1539187 T / C;TS0839:16_5037393 T / G;TS0840:16_5849519 A / G;

[0296] TS0841:16_12390086 G / T;TS0842:16_12632988 C / T;TS0843:16_15609722 C / T;

[0297] TS0844:16_15679575 G / T;TS0845:16_20328071 T / C;TS0846:16_21789199 T / C;

[0298] TS0847:16_23190297 T / C;TS0848:16_25107529 C / T;TS0849:16_29030329 C / T;

[0299] TS0850:16_29969293 A / G;TS0851:16_30008724 C / T;TS0852:16_30166808 C / T;

[0300] TS0853:16_32961390 G / A;TS0854:16_33882505 G / A;TS0855:16_34508401 T / G;

[0301] TS0856:16_34595605 T / C;TS0857:16_34633455 T / C;TS0858:16_38833257 C / T;

[0302] TS0859:16_38833786 A / C;TS0860:16_38833892 A / C;TS0861:16_38834123 T / C;

[0303] TS0862:16_45938047 C / A;TS0863:16_55256270 C / T;TS0864:16_59759328 A / G;

[0304] TS0865:16_59878419 T / C;TS0866:16_61836584 G / A;TS0867:16_62004338 T / G;

[0305] TS0868:16_67606042 T / C;TS0869:16_70292408 C / T;TS0870:16_70311218 T / C;

[0306] TS0871:16_70329939 C / T;TS0872:16_70349285 A / G;TS0873:17_1600267 A / G;

[0307] TS0874:17_3051777 C / T;TS0875:17_3644183 G / A;TS0876:17_4791038 C / T;

[0308] TS0877:17_5054743 T / G;TS0878:17_6457288 G / A;TS0879:17_9257955 G / A;

[0309] TS0880:17_10816834 G / A;TS0881:17_11978630 A / G;TS0882:17_15120313 C / T;

[0310] TS0883:17_16605096 G / A;TS0884:17_20738597 G / A;TS0885:17_33883204 T / C;

[0311] TS0886:17_33954083 C / T;TS0887:17_33954888 G / T;TS0888:17_41979952 C / T;

[0312] TS0889:17_47935043 G / A;TS0890:17_49589228 C / T;TS0891:17_59697223 G / T;

[0313] TS0892:17_59775926 G / A;TS0893:17_61720432 C / T;TS0894:17_68920176 G / C;

[0314] TS0895:18_5540849 G / A;TS0896:18_7028226 G / T;TS0897:18_7226119 G / A;

[0315] TS0898:18_12330297 A / G;TS0899:18_12949461 A / G;TS0900:18_14538392 G / A;

[0316] TS0901:18_14726075 C / T;TS0902:18_16198163 C / T;TS0903:18_18250743 C / T;

[0317] TS0904:18_18276597 G / A;TS0905:18_26240343 G / A;TS0906:18_33293729 T / C;

[0318] TS0907:18_37466640 A / G;TS0908:18_45283969 T / C;TS0909:18_46660968 T / C;

[0319] TS0910:18_51428259 T / C;TS0911:18_54794768 G / A;TS0912:18_61721200 A / G;

[0320] TS0913:18_61745254 A / C;TS0914:18_63287010 A / G;TS0915:19_962302 T / C;

[0321] TS0916:19_1111015 T / C;TS0917:19_1113863 G / A;TS0918:19_1124393 G / A;

[0322] TS0919:19_2172638 C / A;TS0920:19_6319365 T / C;TS0921:19_6543618 G / A;

[0323] TS0922:19_6834456 G / A;TS0923:19_9900454 A / G;TS0924:19_9901077 G / A;

[0324] TS0925:19_9918498 G / A;TS0926:19_9936297 T / G;TS0927:19_9947337 G / T;

[0325] TS0928:19_9956420 T / C;TS0929:19_11052503 C / T;TS0930:19_11119515 A / G;

[0326] TS0931:19_11236748 G / A;TS0932:19_12156965 G / T;TS0933:19_18039590 C / T;

[0327] TS0934:19_18058746 A / C;TS0935:19_18092584 C / T;TS0936:19_21724552 A / C;

[0328] TS0937:19_27677264 C / T;TS0938:19_27687485 A / C;TS0939:19_27692567 G / A;

[0329] TS0940:19_28396516 C / T;TS0941:19_32392617 C / T;TS0942:19_34503296 C / T;

[0330] TS0943:19_34525615 G / A;TS0944:19_34533957 A / G;TS0945:19_34645665 C / T;

[0331] TS0946:19_34661288 C / T;TS0947:19_36574545 G / A;TS0948:19_36584288 T / G;

[0332] TS0949:19_36601152 C / T;TS0950:19_36601204 A / G;TS0951:19_36611457 G / A;

[0333] TS0952:19_36626482 A / G;TS0953:19_36647421 C / T;TS0954:19_36740191 G / A;

[0334] TS0955:19_38035834 C / T;TS0956:19_38038097 T / C;TS0957:19_39334161 C / T;

[0335] TS0958:19_44342269 G / A;TS0959:19_44439658 C / T;TS0960:19_44757384 A / G;

[0336] TS0961:19_44781859 G / A;TS0962:19_44786609 A / G;TS0963:19_44794236 T / C;

[0337] TS0964:19_49267019 G / A;TS0965:19_50780496 T / C;TS0966:19_50958765 C / T;

[0338] TS0967:19_51378971 G / A;TS0968:19_59149792 T / G;TS0969:20_1867466 G / A;

[0339] TS0970:20_5308675 T / G;TS0971:20_8291125 C / A;TS0972:20_8344884 A / G;

[0340] TS0973:20_8402577 G / A;TS0974:20_8421594 T / G;TS0975:20_17343409 T / G;

[0341] TS0976:20_18719494 A / C;TS0977:20_21495651 A / G;TS0978:20_24246441 C / T;

[0342] TS0979:20_25625945 G / A;TS0980:20_26539292 T / C;TS0981:20_26539825 T / G;

[0343] TS0982:20_26793642 C / T;TS0983:20_26942208 T / C;TS0984:20_27460785 C / T;

[0344] TS0985:20_27490772 C / A;TS0986:20_27855773 G / C;TS0987:20_27871674 G / T;

[0345] TS0988:20_30941957 T / C;TS0989:20_34506135 A / G;TS0990:20_38214443 G / A;

[0346] TS0991:20_38737168 G / C;TS0992:20_40604710 C / T;TS0993:20_41354682 C / T;

[0347] TS0994:20_43082940 T / C;TS0995:20_43969910 T / C;TS0996:20_47411033 G / A;

[0348] TS0997:20_47466169 C / T;TS0998:20_48010132 T / C;TS0999:20_50315944 G / A;

[0349] TS1000:20_50323113 C / T;TS1001:20_50349355 T / C;TS1002:20_50363061 A / C;

[0350] TS1003:20_50368788 C / T;TS1004:20_50381162 T / C;TS1005:20_50381997 T / C;

[0351] TS1006:20_50424219 C / T;TS1007:20_50429755 G / A;TS1008:20_50603635 C / T;

[0352] TS1009:20_50617623 C / T;TS1010:20_50619563 G / A;TS1011:20_50641406 C / A;

[0353] TS1012:20_50649611 A / C;TS1013:20_50651797 T / C;TS1014:20_50654197 G / A;

[0354] TS1015:20_50662155 C / T;TS1016:20_50665034 A / C;TS1017:20_50667674 A / G;

[0355] TS1018:20_50673937 G / A;TS1019:21_2178911 C / T;TS1020:21_8613484 C / T;

[0356] TS1021:21_11011945 C / T;TS1022:21_14916178 T / C;TS1023:21_23032451 C / T;

[0357] TS1024:21_25590893 C / T;TS1025:21_27643036 A / G;TS1026:21_27655074 G / A;

[0358] TS1027:21_30328224 C / A;TS1028:21_35547897 G / A;TS1029:21_35924990 G / A;

[0359] TS1030:21_39871580 C / T;TS1031:21_42300786 G / A;TS1032:21_42684315 C / T;

[0360] TS1033:21_43072458 G / A;TS1034:21_46403390 A / G;TS1035:21_46631317 G / A;

[0361] TS1036:22_4482479 G / A;TS1037:22_5517135 A / G;TS1038:22_5593433 C / A;

[0362] TS1039:22_8859266 T / C;TS1040:22_9111615 G / A;TS1041:22_9121048 G / A;

[0363] TS1042:22_9138608 G / A;TS1043:22_9145991 C / T;TS1044:22_9152652 C / T;

[0364] TS1045:22_9176314 T / G;TS1046:22_9196832 A / C;TS1047:22_9787726 T / C;

[0365] TS1048:22_10893029 G / A;TS1049:22_10893603 G / A;TS1050:22_10938291 T / C;

[0366] TS1051:22_11117061 G / A;TS1052:22_11121180 A / G;TS1053:22_11320551 C / T;

[0367] TS1054:22_13310892 C / A;TS1055:22_13329440 G / A;TS1056:22_13420695 A / G;

[0368] TS1057:22_13453318 T / C;TS1058:22_19647845 A / G;TS1059:22_23245344 C / T;

[0369] TS1060:22_27957357 A / C;TS1061:22_30174894 G / A;TS1062:22_36528045 T / C;

[0370] TS1063:22_37206582 G / T;TS1064:22_39473321 T / C;TS1065:22_43348653 T / C;

[0371] TS1066:22_46447446 G / T;TS1067:22_49612555 G / T;TS1068:23_6788116 T / C;

[0372] TS1069:23_8075390 C / T;TS1070:23_17122849 G / A;TS1071:23_18678914 T / G;

[0373] TS1072:23_18954109 C / T;TS1073:23_19364274 C / A;TS1074:23_23610654 G / A;

[0374] TS1075:23_23632866 G / A;TS1076:23_23727240 C / T;TS1077:23_23727484 G / A;

[0375] TS1078:23_24376139 C / T;TS1079:23_24728951 A / G;TS1080:23_25166030 A / G;

[0376] TS1081:23_26404783 T / G;TS1082:23_26595640 C / T;TS1083:23_26981910 T / C;

[0377] TS1084:23_27487856 G / A;TS1085:23_28057939 A / G;TS1086:23_29222431 A / G;

[0378] TS1087:23_34458484 G / A;TS1088:23_38611738 A / C;TS1089:23_38678063 A / G;

[0379] TS1090:23_43914622 T / C;TS1091:23_45534367 G / T;TS1092:23_45553397 G / A;

[0380] TS1093:23_46249711 A / G;TS1094:23_46444806 G / A;TS1095:23_54122047 G / A;

[0381] TS1096:23_59245718 G / A;TS1097:24_1819183 C / T;TS1098:24_2420662 C / T;

[0382] TS1099:24_2532451 G / T;TS1100:24_7580153 A / G;TS1101:24_9073512 G / A;

[0383] TS1102:24_9076208 C / T;TS1103:24_11044054 G / A;TS1104:24_11914284 A / G;

[0384] TS1105:24_12213093 C / T;TS1106:24_13489899 A / G;TS1107:24_14388363 G / A;

[0385] TS1108:24_14697743 C / T;TS1109:24_15356871 G / A;TS1110:24_15924777 C / T;

[0386] TS1111:24_21765394 A / G;TS1112:24_22738324 G / A;TS1113:24_22752069 C / T;

[0387] TS1114:24_23257582 C / T;TS1115:24_23539495 G / A;TS1116:24_24587659 C / T;

[0388] TS1117:24_24685322 C / T;TS1118:24_24693988 A / G;TS1119:24_24722999 C / T;

[0389] TS1120:24_24732390 G / A;TS1121:24_24877894 A / G;TS1122:24_25859891 G / A;

[0390] TS1123:24_31518741 G / A;TS1124:24_34778228 C / T;TS1125:24_34852873 T / C;

[0391] TS1126:24_39447901 C / T;TS1127:24_39802430 T / C;TS1128:24_39821650 G / A;

[0392] TS1129:25_6270296 A / G;TS1130:25_6484120 G / A;TS1131:25_6874585 T / G;TS1132:25_7546053G / A;TS1133:25_9294349G / A;TS1134:25_10042103G / A;TS1135:25_20029912C / T;TS1136:25_21589989T / C;TS1137:25_22566801A / C;TS1138:25_27530824G / A;TS1139:25_29413140T / C;TS1140:25_29808565A / G;TS1141:25_33231328G / A;TS1142:25_33255807C / T;TS1143:25_33256877C / A;TS1144:25_33260402T / C;TS1145:25_38115382T / G;TS1146:25_39045563A / G;TS1147:25_39796706G / A;TS1148:25_41072190A / G;TS1149:25_42649523T / C;TS1150:26_1161526G / A;TS1151:26_1175021G / A;TS1152:26_2357851A / G;TS1153:26_5654737G / A;TS1154:26_5789350G / A;TS1155:26_13091020A / G;TS1156:26_14175646G / A;TS1157:26_15179049A / G;TS1158:26_15357426T / C;TS1159:26_16205967C / T;TS1160:26_16216445A / G;TS1161:26_16289474T / C;TS1162:26_18223536A / G;TS1163:26_18580652C / T;TS1164:26_23973599C / T;TS1165:26_30481236A / G;TS1166:26_30904036C / T;TS1167:26_31112861A / C;TS1168:26_34856152C / T;TS1169:26_35876853C / T;TS1170:26_39806264A / G;TS1171:26_39813010T / C;TS1172:27_1430999G / A;TS1173:27_1980996T / C;TS1174:27_6023061C / T; TS1175:27_6083949A / G; TS1176:27_6405242G / A; TS1177:27_6577124T / C; TS1178:27_6585520A / C; TS1179:27_16274131A / C; TS1180:27_18995265A / G; TS1181:27_22450331C / T; TS1182:27_33154142A / C; TS1183:27_5198 9046G / A; TS1184:27_53892822A / G; TS1185:27_69220244G / A; TS1186:27_70093274T / G; TS1187:27_70958319G / A; TS1188:2 7_75993593C / T; TS1189:27_87153648C / T; TS1190:27_92033245C / T; TS1191:27_100709966A / G; TS1192:27_135301398T / C. ;

[0393] In this embodiment, the Tibetan sheep breed identification SNP marker site combination (i.e., 1192 SNP sites) is derived from 384 Affymetrix Ovine 600K chip sites of 20 different Tibetan sheep breeds, and the method for obtaining the combination comprises the following steps:

[0394] 1) Sample collection and acquisition: 384 Tibetan sheep individuals of 20 breeds, the individuals in the group came from different families of multiple farmers' farms, and the individuals in each group were half male and half female. Ear tissue samples or blood samples were collected and brought back to the laboratory and stored at -80℃ for future use. The number of samples collected for each breed is shown in Table 1.

[0395] Table 1 Sample collection information

[0396]

[0397]

[0398] 2) SNP detection: DNA from blood and ear tissue samples was extracted using the Promega genomic DNA extraction kit, and genotypes were determined using the Affymetrix Ovine 600K chip. The obtained SNPs were quality controlled using Plink software to obtain high-quality SNPs.

[0399] 3) Inter-population FST analysis: Inter-population FST analysis was performed on the obtained SNP marker sites. Specifically, each Tibetan sheep breed was regarded as the experimental group, and the other breeds were regarded as the control group. FST analysis was performed for a total of 20 times. The FST value of each SNP marker site was calculated in the whole genome using vcftools_0.1.13 software.

[0400] 4) Acquisition of 1192 loci: For the FST results of each variety in 3), sort them in order of FST value (from large to small), and extract the SNP loci with the top 200 FST values ​​as candidate specific loci. A total of 20 extractions were performed, totaling 4000 specific SNP loci. Subsequently, SNP loci that existed in different varieties (≥2 varieties) were deleted, and 3816 unique SNP loci in different populations were obtained. Finally, the variance selection filtering method was used to delete loci with very small variance and no discrimination, and 1192 loci with discrimination were retained.

[0401] 5) Construction of training set: 384 Tibetan sheep individuals were randomly divided according to the ratio of 7:3 between the number of training sets and the number of validation sets, of which 268 Tibetan sheep individuals were divided into training sets and 116 Tibetan sheep individuals were divided into test sets. For the individuals in the training set, the genotypes of the loci in S4 were extracted to construct a data set. For the genotypes of each locus of each individual, the wild genotype was replaced by 0, the heterozygous genotype was replaced by 1, and the mutant genotype was replaced by 2. The processed data set was traversed to fill in the missing values, and the five-neighborhood missing value interpolation was used, that is, the average of the five values ​​before and after the missing value was filled into the missing value position.

[0402] 6) Construction of XGBoost model: The XGBoost model is an integrated algorithm composed of multiple decision trees. The training set data obtained in the above steps is used as an input sample, denoted as x. The formula for classifying the input sample using the XGBoost model is as follows:

[0403]

[0404] Among them, k is the total number of trees, f k represents the kth tree, Represents the sample x i prediction results.

[0405] Example 2

[0406] An application of a combination of SNP loci in the whole genome of Tibetan sheep in molecular identification of local Tibetan sheep breeds in China includes the following steps:

[0407] 1) Genotype detection: Based on the 1192 SNP sites obtained in Example 1, the genotype data of the 1192 SNP sites were extracted from genome sequencing data such as chips and whole genome resequencing using Plink software.

[0408] 2) Construction of the test set: 384 Tibetan sheep individuals were randomly divided according to the ratio of the number of training sets to the number of validation sets of 7:3, of which 268 Tibetan sheep individuals were divided into the training set and 116 Tibetan sheep individuals were divided into the test set. For the genotype of each locus of the test set individuals, 0 was used to replace the wild genotype, 1 was used to replace the heterozygous genotype, and 2 was used to replace the mutant genotype. The processed data set was traversed to fill the missing values, and the five-neighborhood missing value interpolation was used, that is, the average of the five values ​​before and after the missing value was filled into the missing value position.

[0409] 3) Model evaluation and prediction: Construct an evaluation mechanism to evaluate the performance of the obtained classifier model. In this example, the average operating characteristic (ROC) curve is used, see Figure 1 , accuracy, kappa value and f1-score value to evaluate the performance of the classification model. The model evaluation index score is the most intuitive expression of the model performance. The scores of each evaluation index of the model in this example are shown in Table 2, which shows that the SNP site combination based on the XGBoost model proposed in this example has a high accuracy.

[0410] Table 2 Model evaluation index scores

[0411]

[0412] The test set data is input into the trained XGBoost classification model to achieve high-precision prediction of the Tibetan sheep breed of each individual in the test set.

[0413] Example 3: Using the trained XGBoost classification model to distinguish Tibetan sheep breeds

[0414] In order to verify that the 1192 SNP sites and XGBoost classification model provided by the present invention can accurately distinguish Tibetan sheep breeds. In this embodiment, 6 valley-type Tibetan sheep were randomly selected as the individuals to be tested, the site genotypes of the SNP combination were obtained, and the XGBoost classification model was used to distinguish the breeds. The results showed that the accuracy rate was 83%, which is equivalent to the accuracy rate of the model evaluated in Example 2, proving that the method of the present invention is reliable. It can provide a certain reference value for the construction of molecular tags within the breed. The specific prediction results are shown in Table 3:

[0415] Table 3 Blind test results of 6 valley-type Tibetan sheep

[0416]

[0417] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. Application of Tibetan sheep whole genome SNP locus combination in identifying Tibetan sheep breeds, It is characterized in that It includes 1192 SNP sites, the physical positions of which are determined based on the whole genome of sheep Oar_v3.1 version; the variation information of the SNP sites is expressed in the form of chromosome number_physical position reference genotype / allele type: TS0001:1_2836390G / A;TS0002:1_7594463G / A;TS0003:1_8522843G / A;TS0004:1_8540529G / A;TS0005:1_9312306A / G;TS0006:1_9831527C / T;TS0007:1_11757641T / C;TS0008:1_11849494C / T;TS0009:1_13732960T / C;TS0010:1_14446412T / G;TS0011:1_16945828G / T;TS0012:1_19278856C / T;TS0013:1_19721811T / C;TS0014:1_21522026A / G;TS0015:1_21768526T / G;TS0016:1_23057579C / T;TS0017:1_23252350C / T;TS0018:1_23542548C / A;TS0019:1_23549866T / C;TS0020:1_23608642T / C;TS0021:1_23809074T / C;TS0022:1_28234032A / G;TS0023:1_28239662A / G;TS0024:1_28714481C / A;TS0025:1_29583682C / T;TS0026:1_31155423C / A;TS0027:1_43311580T / G;TS0028:1_53053035A / G;TS0029:1_58511103A / G;TS0030:1_60770381C / T;TS0031:1_68170066A / G;TS0032:1_70672331T / G;TS0033:1_77167647T / C;TS0034:1_77455864C / A;TS0035:1_77617559G / A;TS0036:1_81693129T / C;TS0037:1_87154717A / G;TS0038:1_90367966C / T;TS0039:1_91854391G / A;TS0040:1_101183944C / T;TS0041:1_101190508A / G;TS0042:1_101213377G / T;TS0043:1_105195735A / C;TS0044:1_110730848C / T;TS0045:1_116624720G / A;TS0046:1_120402752T / C;TS0047:1_127088175T / C;TS0048:1_133659929G / A;TS0049:1_134487625G / T;TS0050:1_135019247C / T;TS0051:1_135049446G / A;TS0052:1_135140067G / A;TS0053:1_135140819A / C;TS0054:1_135277041T / C;TS0055:1_135278957A / C;TS0056:1_137875000A / C;TS0057:1_138734639T / C;TS0058:1_140708385A / G;TS 0059:1_141619293C / T;TS0060:1_143662195G / A;TS0061:1_144207940T / C;TS0062:1_145702783C / T;TS0063:1_146088721T / C;TS0064:1_155751670C / T;TS0065:1_163869229T / C;TS0066:1_171020895A / G;TS0067:1_175998134C / A;TS0068:1_177656339C / T;TS0069:1_181075102G / A;TS0070:1_198366741A / G;TS0071:1_198410688A / C;TS0072:1_201179654T / C;TS0073:1_201934378T / C;TS0074:1_201974234A / G;TS0075:1_201978953C / T;TS0076:1_201997288G / A;TS0077:1_202350271G / A;TS0078:1_204534824 C / A;TS0079:1_204540018 T / C;TS0080:1_204542396G / A;TS0081:1_205706470 A / G;TS0082:1_205782536 C / T;TS0083:1_205933057 T / C;TS0084:1_207596163 C / T;TS0085:1_212607975 A / G;TS0086:1_212608071 T / C;TS0087:1_213469193 G / A;TS0088:1_214745520 T / C;TS0089:1_220090723 C / A;TS0090:1_224546637 T / C;TS0091:1_226999811 T / C;TS0092:1_245571668 G / A;TS0093:1_246483820 G / A;TS0094:1_246492698 G / A;TS0095:1_250014022 C / T;TS0096:1_251923332 G / T;TS0097:1_253550181 G / A;TS0098:1_256962657 T / C;TS0099:1_259373595G / A;TS0100:1_260987074 T / C;TS0101:1_261037237 C / T;TS0102:1_261042186A / G;TS0103:1_265639990 C / A;TS0104:1_267512686 T / C;TS0105:2_2374059 G / T;TS0106:2_2377346 G / A;TS0107:2_7184299 A / G;TS0108:2_11717668 T / C;TS0109:2_14827411 T / C;TS0110:2_17313603 C / T;TS0111:2_21928040 A / G;TS0112:2_23823422C / A;TS0113:2_23834559 T / G;TS0114:2_23837463 A / G;TS0115:2_25235707 A / C;TS0116:2_25386745 T / C;TS0117:2_32253546 C / T;TS0118:2_32253609 C / T;TS0119:2_33565149 C / T;TS0120:2_33587361 T / C;TS0121:2_35092913 C / T;TS0122:2_35094085 A / G;TS0123:2_35094860 T / C;TS0124:2_35119040 T / G;TS0125:2_35133401 C / T;TS0126:2_35149537 C / T;TS0127:2_35149627 G / A;TS0128:2_35306283 C / T;TS0129:2_35322583 C / T;TS0130:2_36605441 C / T;TS0131:2_37408139 T / C;TS0132:2_41174065 A / G;TS0133:2_42281710 C / T;TS0134:2_43436948 C / T;TS0135:2_43448504T / C;TS0136:2_46194224 C / T;TS0137:2_46818852 C / T;TS0138:2_51536570 G / A;TS0139:2_51548028 A / G;TS0140:2_51551346 G / A;TS0141:2_51601355 G / A;TS0142:2_52094802 A / G;TS0143:2_52404448 G / A;TS0144:2_52411391 A / G;TS0145:2_52525954 C / T;TS0146:2_52588001 G / T;TS0147:2_52621262 C / T;TS0148:2_52697939 T / C;TS0149:2_52716368 G / A;TS0150:2_52745546 A / G;TS0151:2_52781125 T / C;TS0152:2_52837894 C / T;TS0153:2_52872172 C / T;TS0154:2_52987794 A / G;TS0155:2_53033737 T / C;TS0156:2_53044188 T / C;TS0157:2_53049414 G / T;TS0158:2_53071036 A / G;TS0159:2_53075348 T / C;TS0160:2_53083217 C / T;TS0161:2_53084682 A / G;TS0162:2_53090964 A / G;TS0163:2_53101054 G / A;TS0164:2_53106453 G / A;TS0165:2_53666473 G / A;TS0166:2_55645724 T / G;TS0167:2_55743009 G / A;TS0168:2_59483043 A / G;TS0169:2_59642894 C / T;TS0170:2_66013022 C / T;TS0171:2_66040087 G / A;TS0172:2_66578942 C / T;TS0173:2_67811885 A / G;TS0174:2_68477115 C / T;TS0175:2_75695367 A / G;TS0176:2_76799074 A / G;TS0177:2_84602398 G / A;TS0178:2_93559661 A / G;TS0179:2_93948793 T / C;TS0180:2_95521288 G / A;TS0181:2_97998479 T / C;TS0182:2_98845054 A / G;TS0183:2_99427585 T / C;TS0184:2_103880970 G / A;TS0185:2_108235636 C / T;TS0186:2_117653227 T / C;TS0187:2_124932035C / T;TS0188:2_124945939 C / A;TS0189:2_132396510 G / A;TS0190:2_132940252 G / T;TS0191:2_132968503 T / C;TS0192:2_132976143 T / C;TS0193:2_132976443 T / C;TS 0194:2_136296324 C / T;TS0195:2_137001786 T / C;TS0196:2_137002500 C / T;TS0197:2_143418334 C / T;TS0198:2_143557270 T / C;TS0199:2_143562450 A / G;TS0200:2_146633267 C / A;TS0201:2_157609061 G / A;TS0202:2_158257517 C / T;TS0203:2_158988842 T / G;TS0204:2_165371423 C / T;TS0205:2_165385190 A / G;TS0206:2_165397933 T / C;TS0207:2_166229901 A / G;TS0208:2_185718743 C / T;TS0209:2_187934165C / T;TS0210:2_193666226T / G;TS0211:2_194790420 T / G;TS0212:2_195311648 T / G;TS0213:2_204467125 A / G;TS0214:2_204468589 C / T;TS0215:2_204539381 C / T;TS 0216:2_204553865 C / T;TS0217:2_204592610 C / T;TS0218:2_207744010 A / G;TS0219:2_210895353 A / G;TS0220:2_218748057 C / A;TS0221:2_218776903 G / A;TS0222:2_221401502 T / C;TS0223:2_222932104 T / C;TS0224:2_225851429 G / A;TS0225:2_230498938 T / C;TS0226:2_231185546 C / T;TS0227:2_231187650 C / T;TS0228:2_232885096 A / G;TS0229:2_233031304 A / G;TS0230:2_233689124 C / T;TS0231:2_233930053G / A;TS0232:2_238172051G / T;TS0233:2_239908885 A / G;TS0234:2_239914860 C / T;TS0235:2_241770451 T / G;TS0236:2_241786722 G / A;TS0237:2_242874499 T / C;TS0238:2_242888232 G / A;TS0239:2_242903483 T / C;TS0240:2_243198318 C / T;TS0241:2_243221701 A / G;TS0242:2_248161603 C / T;TS0243:3_3523587 C / T;TS0244:3_4069244 A / C;TS0245:3_9424936 G / A;TS0246:3_9460145 T / C;TS0247:3_9957281 G / A;TS0248:3_10039958 C / T;TS0249:3_10437411 C / T;TS0250:3_10485348 G / A;TS 0251:3_10494845 G / A;TS0252:3_10503486G / A;TS0253:3_11343749 G / A;TS0254:3_13253825 T / C;TS0255:3_15291915 G / A;TS0256:3_15735480 A / G;TS0257:3_17891230 C / T;TS0258:3_21152596 A / G;TS0259:3_22480041T / C;TS0260:3_24404955 G / A;TS0261:3_25569005 C / T;TS0262:3_26730402 A / G;TS0263:3_26736304 G / A;TS0264:3_26744295 G / A;TS0265:3_26761394 G / T;TS0266:3_28128027G / A;TS0267:3_28718577 C / A;TS0268:3_29893135 C / T;TS0269:3_30774855 G / A;TS0270:3_31582358 A / C;TS0271:3_31670192 A / G;TS0272:3_32521077 A / C;TS0273:3_32523829A / C;TS0274:3_34609120 G / A;TS0275:3_34629900 G / A;TS0276:3_34891686 A / G;TS0277:3_34901981 A / G;TS0278:3_34919109 A / G;TS0279:3_34931901 A / C;TS0280:3_34933557 A / G;TS0281:3_34942740 C / T;TS0282:3_34958758 A / G;TS0283:3_38752459 C / T;TS0284:3_38753847 T / C;TS0285:3_39508109 A / C;TS0286:3_40392380 C / T;TS0287:3_40490968 C / T;TS0288:3_40496764 T / C;TS0289:3_40547228 T / C;TS0290:3_40894279 A / C;TS0291:3_41609765 G / A;TS0292:3_41618010 G / A;TS0293:3_43696243 C / T;TS0294:3_44051186 A / G;TS0295:3_44923472 G / A;TS0296:3_47929578 G / A;TS0297:3_48065301 A / C;TS0298:3_51389472 C / T;TS0299:3_59362133 A / G;TS0300:3_62933555 G / A;TS0301:3_62935376 C / A;TS0302:3_63874936 G / A;TS0303:3_65011350 G / A;TS0304:3_65718570 A / C;TS0305:3_72705042 G / A;TS0306:3_73397767 A / C;TS0307:3_74505663 G / A;TS0308:3_74525910 C / T;TS0309:3_75574940 G / A;TS0310:3_75645210 T / G;TS0311:3_76226269 C / T;TS0312:3_77597725 T / C;TS0313:3_77606951 T / C;TS0314:3_78987740 G / A;TS0315:3_79250128 A / G;TS0316:3_80945526 C / T;TS0317:3_87632192 G / A;TS0318:3_87640132 C / A;TS0319:3_87650669 A / G;TS0320:3_88709119 G / A;TS0321:3_93315918 T / C;TS0322:3_94202264 G / A;TS0323:3_95377847 C / T;TS0324:3_95384224 T / G;TS0325:3_95656208 T / C;TS0326:3_99246368 T / C;TS0327:3_100331684 T / C;TS0328:3_100371604 A / G;TS0329:3_100379297 G / A;TS0330:3_103294708 G / A;TS0331:3_103300619 G / A;TS0332:3_103300907 T / C;TS0333:3_117836161 A / G;TS0334:3_119421709 T / C;TS0335:3_119442451 G / T;TS0336:3_119443021 G / A;TS0337:3_123087078 A / G;TS0338:3_123271498 A / G;TS0339:3_123947032 C / A;TS0340:3_124447652 C / A;TS0341:3_129760144A / G;TS0342:3_129828873 C / T;TS0343:3_131331499 A / C;TS0344:3_131779166A / G;TS0345:3_131783426 T / C;TS0346:3_131876955 A / G;TS0347:3_133693416 G / A;TS0348:3_133772445 C / A;TS0349:3_143952764 A / G;TS0350:3_145098844 T / C;TS0351:3_145886613 A / G;TS0352:3_145918762 C / A;TS0353:3_145984362 G / A;TS0354:3_146445847 G / T;TS0355:3_146448716 T / C;TS0356:3_146555529 G / A;TS0357:3_148189989 G / A;TS0358:3_151005501 G / A;TS0359:3_156957298 T / C;TS0360:3_163678722 A / G;TS0361:3_163804047 C / T;TS0362:3_163834191 C / T;TS0363:3_165118795 T / C;TS0364:3_167046651 C / T;TS0365:3_167997696 C / T;TS0366:3_169462595 T / C;TS0367:3_173673644 G / A;TS0368:3_179203910 T / C;TS0369:3_190548880 C / A;TS0370:3_197938332 C / T;TS0371:3_201968014 A / C;TS0372:3_203077585 T / C;TS0373:3_203645096 A / G;TS0374:3_203649646 G / A;TS0375:3_206881723 C / A;TS0376:3_209547893 G / A;TS0377:3_210984105 C / A;TS0378:3_211405973 T / C;TS0379:3_212071221 C / T;TS0380:3_219405745 T / C;TS0381:3_220959316 T / C;TS0382:3_221112592 G / A;TS0383:3_223182540 T / C;TS0384:4_4548536C / T;TS0385:4_5046387 T / C;TS0386:4_5650760 G / A;TS0387:4_9952573 G / A;TS0388:4_9953142 T / C;TS0389:4_10062007 G / A;TS0390:4_10532668 A / G;TS0391:4_10547760 T / C;TS0392:4_10935314 A / G;TS0393:4_14571969 A / G;TS0394:4_23427767 G / T;TS0395:4_30516829C / T;TS0396:4_30568409 C / T;TS0397:4_31994779 C / T;TS0398:4_32201114 G / T;TS 0399:4_34619799 C / T;TS0400:4_35288996 C / T;TS0401:4_38023099 C / T;TS0402:4_40825846 G / T;TS0403:4_54457654 A / G;TS0404:4_54609336 C / A;TS0405:4_55107166C / T;TS0406:4_61418483 C / A;TS0407:4_66059114 C / T;TS0408:4_68436107 G / A;TS0409:4_71022623 G / C;TS0410:4_88995392 G / A;TS0411:4_89094415 T / G;TS0412:4_91885579G / A;TS0413:4_96685200 G / A;TS0414:4_96733515 T / C;TS0415:4_97456713 T / C;TS0416:4_103224760 A / C;TS0417:4_103234797 C / T;TS0418:4_104104136 G / A;TS0419:4_104118322 T / C;TS0420:4_104791828 G / A;TS0421:4_110425332T / C;TS0422:4_111487281A / G;TS0423:4_111790574 C / T;TS0424:4_111791594 C / G;TS0425:4_113185983 G / A;TS0426:4_117243502 C / T;TS0427:4_117304523 C / T;TS0428:5_2369236 G / T;TS0429:5_3708215 G / A;TS0430:5_5629789 C / T;TS0431:5_5998028 T / C;TS0432:5_6762801 A / G;TS0433:5_8855228 A / G;TS0434:5_9409055G / A;TS0435:5_9423404 G / A;TS0436:5_12950796 T / C;TS0437:5_17843227 G / A;TS 0438:5_17861464 G / A;TS0439:5_21427478C / T;TS0440:5_25975814 G / A;TS0441:5_26527483 C / T;TS0442:5_26532335 C / T;TS0443:5_27242947 C / T;TS0444:5_28800862 C / A;TS0445:5_29527358 G / A;TS0446:5_34032344A / G;TS0447:5_34050503 G / A;TS0448:5_34536988 G / A;TS0449:5_34546185 G / A;TS0450:5_34586851 G / A;TS0451:5_34713899 T / C;TS0452:5_51782089 T / C;TS0453:5_51934194A / C;TS0454:5_55547243 C / A;TS0455:5_57624024 A / C;TS0456:5_63972310 C / T;TS0457:5_74031736 A / C;TS0458:5_81094481 C / T;TS0459:5_81125366 G / T;TS0460:5_82764143C / T;TS0461:5_91049908 T / C;TS0462:5_91846131 T / C;TS0463:5_92615724 C / T;TS0464:5_92829336 G / A;TS0465:5_96222371 C / T;TS0466:5_97988284 T / C;TS0467:5_100901549G / A;TS0468:5_104706428 T / C;TS0469:6_3838707 C / T;TS0470:6_5620832T / G;TS0471:6_6170619 C / T;TS0472:6_6233337 T / C;TS0473:6_6264841 C / T;TS0474:6_9307950 C / A;TS0475:6_13148465 C / T;TS0476:6_13310474 A / C;TS0477:6_13337133 C / T;TS0478:6_18268162 C / T;TS0479:6_24709534 C / T;TS0480:6_24823871G / A;TS0481:6_32741565 A / G;TS0482:6_33257949 A / C;TS0483:6_42080844 C / T;TS0484:6_42092805 G / A;TS0485:6_46172454 A / G;TS0486:6_46309786 A / C;TS0487:6_48431336 C / T;TS0488:6_48456417 G / T;TS0489:6_48546620 T / C;TS0490:6_53469003 C / T;TS0491:6_55062034 G / A;TS0492:6_55850936 G / A;TS0493:6_58042371 T / C;TS0494:6_58241789 A / G;TS0495:6_62485597 A / G;TS0496:6_62515962 C / T;TS 0497:6_62528022 G / A;TS0498:6_64442953 C / T;TS0499:6_68507189 G / A;TS0500:6_69160629 G / A;TS0501:6_69332134 C / T;TS0502:6_69586893T / C;TS0503:6_69989094 C / A;TS0504:6_70010727 G / A;TS0505:6_71401759 A / C;TS0506:6_71577892 T / G;TS0507:6_88495617 G / A;TS0508:6_88569491 C / A;TS0509:6_92040824C / T;TS0510:6_92049985 A / G;TS0511:6_93238391 A / G;TS0512:6_93555266 G / A;TS0513:6_94112314 C / T;TS0514:6_94125722 T / C;TS0515:6_94998292 A / G;TS0516:6_98931950G / A;TS0517:6_99931927 A / G;TS0518:6_100235440 T / C;TS0519:6_100906402G / A;TS0520:6_104545987 C / T;TS0521:6_106191475 T / G;TS0522:6_109728303 G / A;TS0523:6_109755562 A / G;TS0524:6_112887355 G / A;TS0525:6_113628246 G / A;TS0526:6_113632761 T / C;TS0527:7_1359403 G / A;TS0528:7_3024961 G / A;TS0529:7_4296848 C / A;TS0530:7_7383382 G / A;TS0531:7_10730857 G / A;TS0532:7_11348980 A / G;TS0533:7_11366271 A / G;TS0534:7_11428926 G / A;TS0535:7_13479484 T / C;TS0536:7_20885673 G / A;TS0537:7_30720444 C / A;TS0538:7_32026755 T / C;TS0539:7_39015816 G / T;TS0540:7_42027860 G / A;TS0541:7_45087539 T / C;TS0542:7_50177128 C / A;TS0543:7_50698366 A / G;TS0544:7_50749782 G / A;TS0545:7_51236464T / C;TS0546:7_56462325 C / T;TS0547:7_56522615 C / T;TS0548:7_56789129 A / G;TS0549:7_57037059 T / C;TS0550:7_62735885 G / A;TS0551:7_64228413 A / C;TS0552:7_66266244 C / T;TS0553:7_67095162 T / C;TS0554:7_73952258 T / C;TS0555:7_75227617 G / A;TS0556:7_77984215 G / T;TS0557:7_81718606 T / C;TS0558:7_81838953 A / G;TS0559:7_84138032 G / A;TS0560:7_89152835 G / A;TS0561:7_89221794 G / A;TS 0562:7_89228504 G / T;TS0563:7_89302679 A / C;TS0564:7_89322529T / C;TS0565:7_89345811 A / G;TS0566:7_89346685 T / C;TS0567:7_89356647 A / G;TS0568:7_89395172 T / C;TS0569:7_89418296 C / T;TS0570:7_89430525 A / G;TS0571:7_89431097G / C;TS0572:7_89435592 G / T;TS0573:7_91100398 G / T;TS0574:7_92376084 C / T;TS0575:7_95765668 G / A;TS0576:8_3780826 C / A;TS0577:8_6386581 A / G;TS0578:8_8970168 T / G;TS0579:8_9945664 A / C;TS0580:8_9975938 T / G;TS0581:8_11658038 C / A;TS0582:8_15401400 A / C;TS0583:8_20008354 C / T;TS0584:8_31133562 C / T;TS0585:8_31148326 C / T;TS0586:8_33986546 G / T;TS0587:8_38057955 G / A;TS0588:8_46604155 G / A;TS0589:8_49827260 A / G;TS0590:8_54655274 T / G;TS0591:8_69845340T / C;TS0592:8_69867483 T / C;TS0593:8_71224124 C / T;TS0594:8_72919022 T / G;TS0595:8_78424209 A / G;TS0596:8_79745175 C / T;TS0597:8_83345369 G / A;TS0598:8_87687516 G / A;TS0599:8_87735521 T / C;TS0600:8_87744180 G / A;TS0601:8_88561673 A / G;TS0602:9_4540591 A / G;TS0603:9_9712968 A / G;TS0604:9_13239418 A / G;TS0605:9_13250706 G / A;TS0606:9_14492326 A / G;TS0607:9_14882990 T / C;TS0608:9_16861290 A / G;TS0609:9_22150773 G / A;TS0610:9_25366139 G / A;TS0611:9_25843608 G / T;TS0612:9_27439865 T / C;TS0613:9_29079733 C / T;TS0614:9_35955841 T / C;TS0615:9_36164331 T / C;TS0616:9_36207512 G / A;TS0617:9_41048855 G / A;TS0618:9_41938605 A / G;TS0619:9_43006183 G / A;TS0620:9_47978012 G / A;TS0621:9_53034715 C / T;TS0622:9_53034877 T / C;TS0623:9_56727606 C / T;TS0624:9_57846614 G / T;TS0625:9_58279402 G / A;TS0626:9_60216943 A / G;TS0627:9_64548432C / T;TS0628:9_71051235 T / C;TS0629:9_71067698 A / G;TS0630:9_71081272 T / C;TS0631:9_71118833 A / G;TS0632:9_78738570 A / C;TS0633:9_78746219 T / C;TS0634:9_78789670 G / A;TS0635:9_79796060 T / G;TS0636:9_82951673 G / A;TS0637:9_84465191 G / T;TS0638:9_84700348 C / A;TS0639:9_93321862 G / A;TS0640:10_2356671A / G;TS0641:10_3197863 T / G;TS0642:10_12329980 T / C;TS0643:10_12339027 T / G;TS0644:10_14889577 G / A;TS0645:10_29517383 C / T;TS0646:10_29535013 G / A;TS 0647:10_29568874 C / T;TS0648:10_29585412 G / T;TS0649:10_29586896 T / C;TS0650:10_29602556 A / G;TS0651:10_29603575 A / G;TS0652:10_29665112 C / T;TS0653:10_29688147 T / G;TS0654:10_30631166A / G;TS0655:10_30631928 T / C;TS0656:10_30632089 G / C;TS0657:10_31225122 G / A;TS0658:10_31227233 A / G;TS0659:10_40872230 A / G;TS0660:10_41300950 G / A;TS0661:10_49113830 T / C;TS0662:10_52576536 G / T;TS0663:10_53362398 C / T;TS0664:10_58923826 C / T;TS0665:10_59289056 C / A;TS0666:10_62458932 T / C;TS0667:10_67144486T / C;TS0668:10_71302255 C / T;TS0669:10_74743223 A / G;TS0670:10_76370816 C / A;TS0671:10_76376824 A / G;TS 0672:10_76391662 C / T;TS0673:10_76410079 G / A;TS0674:10_78765520 G / A;TS0675:10_81268704 G / T;TS0676:10_82191924 G / A;TS0677:10_83284259 C / A;TS0678:10_84353868 A / G;TS0679:10_84728362 G / A;TS0680:11_7516760A / G;TS0681:11_15536587 G / A;TS0682:11_19238334 T / C;TS0683:11_19250764 G / A;TS0684:11_20072226 T / C;TS0685:11_25497694 A / G;TS0686:11_29511750 G / A;TS0687:11_34393329C / T;TS0688:11_35700327 C / T;TS0689:11_35700368 T / C;TS0690:11_36736674 A / G;TS0691:11_40529515 C / T;TS0692:11_40539038 G / A;TS0693:11_40692441C / T;TS0694:11_41139966 C / T;TS0695:11_42565746 C / T;TS0696:11_42582268 C / T;TS0697:11_42584286 T / C;TS0698:11_44521859 C / T;TS0699:11_48203139 C / T;TS0700:11_57343593 G / T;TS0701:11_57501521 G / A;TS0702:11_60475588 C / T;TS0703:11_62098212 T / C;TS0704:11_62117084 G / A;TS0705:11_62138002 C / T;TS0706:12_645609A / G;TS0707:12_1542514 G / A;TS0708:12_1563966 C / T;TS0709:12_1587342 C / T;TS0710:12_2091041 G / A;TS0711:12_4016944 T / C;TS0712:12_5160597 C / T;TS0713:12_8734321G / A;TS0714:12_9725315 A / G;TS0715:12_10320707 A / G;TS0716:12_10321550 T / C;TS0717:12_10364501 G / A;TS0718:12_10384961 A / G;TS0719:12_10385234 A / G;TS0720:12_14185216 G / T;TS0721:12_25871148 T / C;TS0722:12_27447015 T / C;TS0723:12_29647960 G / A;TS0724:12_31691691 C / A;TS0725:12_36714526T / C;TS0726:12_36716865G / A;TS0727:12_38065588 G / A;TS0728:12_39963178 C / G;TS0729:12_41849455 C / T;TS0730:12_44031868 G / A;TS0731:12_45627339 C / T;TS0732:12_56584315 C / T;TS0733:12_59135983 A / G;TS0734:12_59440692 G / T;TS0735:12_59457247 G / A;TS0736:12_62801193 G / A;TS0737:12_71397821 G / A;TS0738:12_76708996 A / G;TS0739:12_76740497A / G;TS0740:12_78412601 C / G;TS0741:12_78419145 G / A;TS0742:12_78424155 C / T;TS0743:12_78427631 T / C;TS0744:12_78427708 G / A;TS0745:12_78433202 T / C;TS0746:13_5391359 T / C;TS0747:13_7603524A / G;TS0748:13_8801778 G / A;TS0749:13_14324927A / G;TS0750:13_17954880 T / C;TS0751:13_17954962 G / A;TS0752:13_24176920 G / A;TS0753:13_38483912 C / T;TS 0754:13_39781006 G / A;TS0755:13_42082869 T / G;TS0756:13_42083929 G / A;TS0757:13_42094454 A / C;TS0758:13_42107849 C / T;TS0759:13_46786904 A / G;TS0760:13_57421708 C / A;TS0761:13_58231835 G / A;TS0762:13_58829824T / G;TS0763:13_71551110 T / G;TS0764:13_78259248 C / T;TS0765:13_78321656 G / A;TS0766:13_80818215 T / A;TS0767:14_3905653 T / C;TS0768:14_7057755 A / G;TS0769:14_7974711 G / A;TS0770:14_10083956 A / G;TS0771:14_11425917 A / G;TS0772:14_11650899C / T;TS0773:14_11698309 C / T;TS0774:14_13866277 C / A;TS0775:14_13891352 G / A;TS0776:14_13900688 G / A;TS0777:14_13912232 G / A;TS0778:14_13955854 C / T;TS0779:14_13968934 C / A;TS0780:14_14251648 C / T;TS0781:14_14253692 T / C;TS0782:14_14262963 G / A;TS0783:14_14311055 G / A;TS0784:14_14324053 C / T;TS0785:14_14324839C / T;TS0786:14_14364338 C / T;TS0787:14_14760268 T / C;TS0788:14_19665163 A / G;TS0789:14_26045391 G / T;TS0790:14_26067822 G / T;TS0791:14_34177984 G / C;TS0792:14_34196495 T / C;TS0793:14_34364681 C / T;TS0794:14_34654247 G / T;TS0795:14_36420654 C / A;TS0796:14_37263655 G / A;TS0797:14_39457049 C / T;TS0798:14_43766532T / C;TS0799:14_45278898 G / A;TS0800:14_47616562 C / T;TS0801:14_52699940 T / C;TS0802:14_56310348 T / C;TS0803:14_56339682 G / T;TS0804:14_56359331 C / A;TS0805:14_56359896 A / G;TS0806:14_59007881 C / T;TS0807:14_59299370 T / C;TS0808:14_60436458 C / T;TS0809:15_12920806 A / G;TS0810:15_13124913 T / C;TS0811:15_13584957A / G;TS0812:15_14590163 T / G;TS0813:15_18163563T / C;TS0814:15_19495500 A / G;TS0815:15_23304822 T / C;TS0816:15_26648287 C / T;TS0817:15_26669547 C / T;TS0818:15_27830680 T / C;TS0819:15_27838258 A / G;TS 0820:15_27847632 T / C;TS0821:15_28180725 A / G;TS0822:15_33263720 G / T;TS0823:15_37059286 C / T;TS0824:15_40319254C / T;TS0825:15_45217868 A / C;TS0826:15_46344639 A / C;TS0827:15_58008939 C / T;TS0828:15_61915452 G / A;TS0829:15_63466260 T / C;TS0830:15_65697969 T / C;TS0831:15_66282904 T / C;TS0832:15_66712084 T / C;TS0833:15_68690219 T / G;TS0834:15_71084393 G / A;TS0835:15_71440047A / G;TS0836:15_71657175 C / A;TS0837:15_75156802G / A;TS0838:16_1539187 T / C;TS0839:16_5037393 T / G;TS0840:16_5849519 A / G;TS0841:16_12390086 G / T;TS0842:16_12632988 C / T;TS0843:16_15609722 C / T;TS0844:16_15679575 G / T;TS0845:16_20328071 T / C;TS0846:16_21789199 T / C;TS0847:16_23190297T / C;TS0848:16_25107529 C / T;TS0849:16_29030329 C / T;TS0850:16_29969293 A / G;TS0851:16_30008724 C / T;TS0852:16_30166808 C / T;TS0853:16_32961390 G / A;TS0854:16_33882505G / A;TS0855:16_34508401 T / G;TS0856:16_34595605 T / C;TS0857:16_34633455 T / C;TS0858:16_38833257 C / T;TS0859:16_38833786 A / C;TS0860:16_38833892A / C;TS0861:16_38834123 T / C;TS0862:16_45938047 C / A;TS0863:16_55256270 C / T;TS0864:16_59759328 A / G;TS0865:16_59878419 T / C;TS0866:16_61836584 G / A;TS0867:16_62004338 T / G;TS0868:16_67606042 T / C;TS0869:16_70292408 C / T;TS0870:16_70311218 T / C;TS0871:16_70329939 C / T;TS0872:16_70349285 A / G;TS0873:17_1600267A / G;TS0874:17_3051777 C / T;TS0875:17_3644183 G / A;TS0876:17_4791038 C / T;TS0877:17_5054743 T / G;TS0878:17_6457288 G / A;TS0879:17_9257955 G / A;TS 0880:17_10816834 G / A;TS0881:17_11978630 A / G;TS0882:17_15120313 C / T;TS0883:17_16605096G / A;TS0884:17_20738597 G / A;TS0885:17_33883204 T / C;TS0886:17_33954083 C / T;TS0887:17_33954888 G / T;TS0888:17_41979952 C / T;TS0889:17_47935043 G / A;TS0890:17_49589228 C / T;TS0891:17_59697223 G / T;TS0892:17_59775926 G / A;TS0893:17_61720432 C / T;TS0894:17_68920176 G / C;TS0895:18_5540849G / A;TS0896:18_7028226 G / T;TS0897:18_7226119 G / A;TS0898:18_12330297 A / G;TS0899:18_12949461 A / G;TS0900:18_14538392 G / A;TS0901:18_14726075 C / T;TS 0902:18_16198163 C / T;TS0903:18_18250743 C / T;TS0904:18_18276597 G / A;TS0905:18_26240343 G / A;TS0906:18_33293729T / C;TS0907:18_37466640 A / G;TS0908:18_45283969 T / C;TS0909:18_46660968 T / C;TS0910:18_51428259 T / C;TS0911:18_54794768 G / A;TS0912:18_61721200 A / G;TS0913:18_61745254 A / C;TS0914:18_63287010 A / G;TS0915:19_962302 T / C;TS0916:19_1111015T / C;TS0917:19_1113863 G / A;TS0918:19_1124393 G / A;TS0919:19_2172638 C / A;TS0920:19_6319365 T / C;TS0921:19_6543618 G / A;TS0922:19_6834456 G / A;TS0923:19_9900454A / G;TS0924:19_9901077 G / A;TS0925:19_9918498 G / A;TS0926:19_9936297 T / G;TS0927:19_9947337G / T;TS0928:19_9956420 T / C;TS0929:19_11052503 C / T;TS0930:19_11119515A / G;TS0931:19_11236748 G / A;TS0932:19_12156965 G / T;TS0933:19_18039590 C / T;TS0934:19_18058746 A / C;TS0935:19_18092584 C / T;TS0936:19_21724552 A / C;TS0937:19_27677264 C / T;TS0938:19_27687485 A / C;TS0939:19_27692567 G / A;TS0940:19_28396516C / T;TS0941:19_32392617 C / T;TS0942:19_34503296 C / T;TS0943:19_34525615 G / A;TS0944:19_34533957 A / G;TS0945:19_34645665 C / T;TS0946:19_34661288 C / T;TS0947:19_36574545 G / A;TS0948:19_36584288 T / G;TS0949:19_36601152C / T;TS0950:19_36601204 A / G;TS0951:19_36611457 G / A;TS0952:19_36626482 A / G;TS0953:19_36647421C / T;TS0954:19_36740191 G / A;TS0955:19_38035834 C / T;TS0956:19_38038097 T / C;TS0957:19_39334161 C / T;TS0958:19_44342269 G / A;TS0959:19_44439658 C / T;TS0960:19_44757384 A / G;TS0961:19_44781859 G / A;TS0962:19_44786609 A / G;TS0963:19_44794236 T / C;TS0964:19_49267019 G / A;TS0965:19_50780496 T / C;TS0966:19_50958765C / T;TS0967:19_51378971 G / A;TS0968:19_59149792 T / G;TS0969:20_1867466 G / A;TS0970:20_5308675 T / G;TS0971:20_8291125C / A;TS0972:20_8344884 A / G;TS0973:20_8402577 G / A;TS0974:20_8421594 T / G;TS0975:20_17343409 T / G;TS0976:20_18719494A / C;TS0977:20_21495651 A / G;TS0978:20_24246441 C / T;TS0979:20_25625945 G / A;TS0980:20_26539292 T / C;TS0981:20_26539825 T / G;TS0982:20_26793642 C / T;TS0983:20_26942208 T / C;TS0984:20_27460785 C / T;TS0985:20_27490772 C / A;TS0986:20_27855773 G / C;TS0987:20_27871674 G / T;TS0988:20_30941957 T / C;TS0989:20_34506135A / G;TS0990:20_38214443 G / A;TS0991:20_38737168 G / C;TS0992:20_40604710 C / T;TS0993:20_41354682 C / T;TS0994:20_43082940 T / C;TS0995:20_43969910 T / C;TS0996:20_47411033 G / A;TS0997:20_47466169 C / T;TS0998:20_48010132 T / C;TS0999:20_50315944 G / A;TS1000:20_50323113 C / T;TS1001:20_50349355 T / C;TS1002:20_50363061A / C;TS1003:20_50368788 C / T;TS1004:20_50381162 T / C;TS1005:20_50381997 T / C;TS1006:20_50424219 C / T;TS1007:20_50429755 G / A;TS1008:20_50603635 C / T;TS1009:20_50617623 C / T;TS1010:20_50619563 G / A;TS1011:20_50641406 C / A;TS1012:20_50649611 A / C;TS1013:20_50651797 T / C;TS1014:20_50654197 G / A;TS1015:20_50662155C / T;TS1016:20_50665034 A / C;TS1017:20_50667674 A / G;TS1018:20_50673937 G / A;TS1019:21_2178911 C / T;TS1020:21_8613484 C / T;TS1021:21_11011945 C / T;TS1022:21_14916178 T / C;TS1023:21_23032451 C / T;TS1024:21_25590893 C / T;TS1025:21_27643036A / G;TS1026:21_27655074 G / A;TS1027:21_30328224 C / A;TS1028:21_35547897 G / A;TS1029:21_35924990 G / A;TS1030:21_39871580 C / T;TS1031:21_42300786 G / A;TS1032:21_42684315 C / T;TS1033:21_43072458 G / A;TS1034:21_46403390 A / G;TS1035:21_46631317 G / A;TS1036:22_4482479 G / A;TS1037:22_5517135 A / G;TS1038:22_5593433 C / A;TS1039:22_8859266 T / C;TS1040:22_9111615 G / A;TS1041:22_9121048 G / A;TS1042:22_9138608 G / A;TS1043:22_9145991 C / T;TS1044:22_9152652 C / T;TS1045:22_9176314T / G;TS1046:22_9196832 A / C;TS1047:22_9787726 T / C;TS1048:22_10893029 G / A;TS1049:22_10893603 G / A;TS1050:22_10938291T / C;TS1051:22_11117061 G / A;TS1052:22_11121180 A / G;TS1053:22_11320551 C / T;TS1054:22_13310892 C / A;TS1055:22_13329440 G / A;TS1056:22_13420695 A / G;TS1057:22_13453318 T / C;TS1058:22_19647845A / G;TS1059:22_23245344 C / T;TS1060:22_27957357 A / C;TS1061:22_30174894 G / A;TS1062:22_36528045 T / C;TS1063:22_37206582 G / T;TS1064:22_39473321 T / C;TS1065:22_43348653 T / C;TS1066:22_46447446 G / T;TS1067:22_49612555 G / T;TS1068:23_6788116 T / C;TS1069:23_8075390 C / T;TS1070:23_17122849 G / A;TS1071:23_18678914T / G;TS1072:23_18954109C / T;TS1073:23_19364274 C / A;TS1074:23_23610654 G / A;TS1075:23_23632866 G / A;TS1076:23_23727240 C / T;TS1077:23_23727484 G / A;TS1078:23_24376139 C / T;TS1079:23_24728951 A / G;TS1080:23_25166030 A / G;TS1081:23_26404783 T / G;TS 1082:23_26595640 C / T;TS1083:23_26981910 T / C;TS1084:23_27487856 G / A;TS1085:23_28057939 A / G;TS1086:23_29222431 A / G;TS1087:23_34458484G / A;TS1088:23_38611738 A / C;TS1089:23_38678063 A / G;TS1090:23_43914622 T / C;TS1091:23_45534367 G / T;TS1092:23_45553397 G / A;TS1093:23_46249711 A / G;TS1094:23_46444806 G / A;TS1095:23_54122047 G / A;TS1096:23_59245718 G / A;TS1097:24_1819183C / T;TS1098:24_2420662 C / T;TS1099:24_2532451 G / T;TS1100:24_7580153 A / G;TS1101:24_9073512 G / A;TS1102:24_9076208 C / T;TS1103:24_11044054 G / A;TS1104:24_11914284 A / G;TS1105:24_12213093 C / T;TS1106:24_13489899 A / G;TS1107:24_14388363G / A;TS1108:24_14697743 C / T;TS1109:24_15356871 G / A;TS1110:24_15924777 C / T;TS1111:24_21765394 A / G;TS1112:24_22738324 G / A;TS1113:24_22752069 C / T;TS1114:24_23257582 C / T;TS1115:24_23539495 G / A;TS1116:24_24587659C / T;TS1117:24_24685322 C / T;TS1118:24_24693988 A / G;TS1119:24_24722999 C / T;TS1120:24_24732390G / A;TS1121:24_24877894 A / G;TS1122:24_25859891 G / A;TS1123:24_31518741 G / A;TS1124:24_34778228 C / T;TS1125:24_34852873 T / C;TS1126:24_39447901 C / T;TS1127:24_39802430 T / C;TS1128:24_39821650 G / A;TS1129:25_6270296 A / G;TS1130:25_6484120 G / A;TS1131:25_6874585 T / G;TS1132:25_7546053 G / A;TS1133:25_9294349 G / A;TS1134:25_10042103 G / A;TS1135:25_20029912C / T;TS1136:25_21589989 T / C;TS1137:25_22566801 A / C;TS1138:25_27530824 G / A;TS1139:25_29413140 T / C;TS1140:25_29808565 A / G;TS1141:25_33231328 G / A;TS 1142:25_33255807 C / T;TS1143:25_33256877 C / A;TS1144:25_33260402 T / C;TS1145:25_38115382 T / G;TS1146:25_39045563A / G;TS1147:25_39796706 G / A;TS1148:25_41072190 A / G;TS1149:25_42649523 T / C;TS1150:26_1161526 G / A;TS1151:26_1175021 G / A;TS1152:26_2357851 A / G;TS1153:26_5654737 G / A;TS1154:26_5789350 G / A;TS1155:26_13091020 A / G;TS1156:26_14175646G / A;TS1157:26_15179049 A / G;TS1158:26_15357426 T / C;TS1159:26_16205967 C / T;TS1160:26_16216445 A / G;TS1161:26_16289474 T / C;TS1162:26_18223536 A / G;TS1163:26_18580652 C / T;TS1164:26_23973599 C / T;TS1165:26_30481236 A / G;TS1166:26_30904036 C / T;TS1167:26_31112861 A / C;TS1168:26_34856152 C / T;TS1169:26_35876853C / T;TS1170:26_39806264 A / G;TS1171:26_39813010 T / C;TS1172:27_1430999 G / A;TS1173:27_1980996T / C;TS1174:27_6023061 C / T;TS1175:27_6083949 A / G;TS1176:27_6405242 G / A;TS1177:27_6577124 T / C;TS1178:27_6585520 A / C;TS1179:27_16274131 A / C;TS1180:27_18995265 A / G;TS1181:27_22450331 C / T;TS1182:27_33154142 A / C;TS1183:27_51989046 G / A;TS1184:27_53892822 A / G;TS1185:27_69220244 G / A;TS1186:27_70093274 T / G;TS1187:27_70958319 G / A;TS1188:27_75993593 C / T;TS1189:27_87153648C / T;TS1190:27_92033245C / T;TS1191:27_100709966A / G;TS1192:27_135301398T / C。; 2. An XGBoost model training method for molecular identification of Tibetan sheep breeds, It is characterized in that For the genotype of each Tibetan sheep individual SNP site, the wild genotype is replaced by 0, the heterozygous genotype is replaced by 1, and the mutant genotype is replaced by 2 to obtain a data set; the data set is divided into a training set and a validation set, the training set is used to train the XGBoost model, and the validation set is used to evaluate the prediction accuracy of the trained XGBoost model; the XGBoost model for molecular identification of Tibetan sheep breeds is obtained; the SNP site is the Tibetan sheep whole genome SNP site combination described in claim 1.

3. The XGBoost model training method for molecular identification of Tibetan sheep breeds according to claim 2, It is characterized in that The XGBoost model is an integrated algorithm composed of multiple decision trees. The data of the training set is taken as an input sample, denoted as x. The formula for classifying the input sample using the XGBoost model is as follows: Among them, k is the total number of trees, f k represents the kth tree, Represents the sample x i prediction results.

4. A classification method for molecular identification of Tibetan sheep breeds based on the XGBoost model. It is characterized in that After preprocessing the Tibetan sheep whole genome SNP site combination described in claim 1, the combination is input into the XGBoost model to obtain the Tibetan sheep breed information of the individual to be tested; The preprocessing is: replacing the wild genotype with 0, the heterozygous genotype with 1, and the mutant genotype with 2 for the genotype of each locus of each individual to obtain a data set; and filling the missing values ​​of the data set by using five-neighborhood missing value interpolation.

5. The classification method according to claim 4, It is characterized in that The preprocessed sample genotype data was divided into a training set and a validation set. The training set was used to train the XGBoost model, and the validation set was used to evaluate the prediction accuracy of the trained XGBoost model.

6. The classification method according to claim 5, It is characterized in that The prediction accuracy evaluation refers to: obtaining predictions during the process of using the validation set to evaluate the prediction accuracy of the trained XGBoost classifier model; using the average operating characteristic curve, accuracy, kappa value and f1-score value to evaluate the prediction model in the validation data.

7. Application of the Tibetan sheep whole genome SNP site combination described in claim 1, the XGBoost model training method for molecular identification of Tibetan sheep varieties described in any one of claims 2-3, or the classification method described in any one of claims 4-6 in marker-assisted major gene selection, backcross breeding and background selection, molecular-assisted breeding, whole genome breeding, whole genome association analysis, QTL analysis, species evolution analysis or germplasm resource identification.

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