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Dai X, Zhu Q, Wang C, Rukeye A, Cao Z, Shan T, Wang Y, Zhang J. F ST estimates of 94 populations in China based on STR markers. Forensic Sci Int Genet 2023; 64:102854. [PMID: 36893618 DOI: 10.1016/j.fsigen.2023.102854] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 02/14/2023] [Accepted: 03/02/2023] [Indexed: 03/06/2023]
Abstract
The proper assessment of DNA evidence in cases of personal identification is a recurring theme in forensics. It is common practice to evaluate the strength of DNA evidence using the likelihood ratio (LR). The accurate use of population allele frequencies is a crucial problem in LR calculation. Allele frequency differences among different populations could be estimated by the FST values. Thus, FST would also affect LR values by correcting the allele frequencies. In this study, Chinese population allele frequency data were selected from population reports published in Chinese and English journals. The population-specific FST values of each population, the overall FST values of each province, each region, and the whole country, and the locus-specific FST values of different loci were calculated. The LRs using different allele frequencies and different FST values were compared based on the combination of simulated genotypes. As a result, the FST values of 94 populations, 19 provinces, 7 regions, and the whole country were obtained. The LR was overestimated using allele frequencies of the combined population containing multiple populations rather than using allele frequencies of a population, and the LRs after FST correction were lower than those without correction. Conclusively, the correction in conjunction with corresponding FST values can make the LRs more accurate and reasonable.
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Affiliation(s)
- Xuan Dai
- West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu 610041, Sichuan, China
| | - Qiang Zhu
- West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu 610041, Sichuan, China
| | - Chu Wang
- West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu 610041, Sichuan, China
| | - Aosiman Rukeye
- West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu 610041, Sichuan, China
| | - Ze Cao
- West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu 610041, Sichuan, China
| | - Tiantian Shan
- West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu 610041, Sichuan, China
| | - Yufang Wang
- West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu 610041, Sichuan, China.
| | - Ji Zhang
- West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu 610041, Sichuan, China.
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Zhang X, Li J, Wen J. Genetic diversity of 15 STR loci in Yunnan Va ethnic minority and the phylogenetic relationships with 26 other populations. Ann Hum Biol 2022; 49:348-353. [PMID: 36326532 DOI: 10.1080/03014460.2022.2141854] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
BACKGROUND The Va (also called "Wa") people are an ethnic minority living mainly in the southwest of Yunnan Province. AIM This study was conducted to obtain the genetic information and forensic statistical parameters of 15 autosomal short tandem repeat (STR) loci included in the AmpFlSTR®Identifiler™ kit (Applied Biosystems, Foster City, CA) in the Yunnan Va population, with a view to enriching the genetic databases of the Chinese Va population. SUBJECTS AND METHODS A total of 508 unrelated Chinese Va individuals were genotyped with this 15 STR kit, the genetic polymorphisms and associated forensic parameters were calculated. The genetic relationships between Chinese Va and 26 other Chinese populations were also evaluated. RESULTS All of the STR loci reached the Hardy-Weinberg equilibrium after Bonferroni correction. A total of 159 alleles were observed with allele frequencies ranging from 0.000984 to 0.606299. The combined discrimination power (CDP) and the cumulative probability of excluding (CPE) of the 15 STR loci were 0.999 999 999 999 999 988 126 and 0.999 995 734, respectively. Our results indicated that the geographically adjacent or ethnically close populations showed a higher genetic affinity. CONCLUSIONS The results of this study will enrich the forensic databases of the Chinese Va population and could be applied in forensic analysis.
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Affiliation(s)
- Xiufeng Zhang
- Shanghai Key Lab of Forensic Medicine, Key Lab of Forensic Science, Ministry of Justice, Academy of Forensic Science, Shanghai, China.,School of Forensic Medicine, Kunming Medical University, Kunming, China.,Judicial Expertise Center, Kunming Medical University, Kunming, China
| | - Jing Li
- Pu'er Public Security Bureau, Pu'er, China
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Zhang X, Li J, Wen J. Genetic variation of 17 autosomal STR loci in the Lahu population from Yunnan and phylogenetic structure exploration among 28 populations. Leg Med (Tokyo) 2022; 56:102050. [DOI: 10.1016/j.legalmed.2022.102050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Revised: 02/09/2022] [Accepted: 02/23/2022] [Indexed: 11/15/2022]
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Population data and phylogenetic structure of 19 STR loci in Chinese Hui ethnic group residing in Yunnan province of China. Leg Med (Tokyo) 2022; 56:102044. [DOI: 10.1016/j.legalmed.2022.102044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Revised: 02/02/2022] [Accepted: 02/09/2022] [Indexed: 11/30/2022]
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Mawan A, Prakhun N, Muisuk K, Srithawong S, Srikummool M, Kampuansai J, Shoocongdej R, Inta A, Ruangchai S, Kutanan W. Autosomal Microsatellite Investigation Reveals Multiple Genetic Components of the Highlanders from Thailand. Genes (Basel) 2021; 12:383. [PMID: 33800398 PMCID: PMC8000784 DOI: 10.3390/genes12030383] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Revised: 03/02/2021] [Accepted: 03/03/2021] [Indexed: 11/18/2022] Open
Abstract
The hill tribes of northern Thailand comprise nine officially recognized groups: the Austroasiatic-speaking (AA) Khmu, Htin and Lawa; the Hmong-Mien-speaking (HM) IuMien and Hmong; and the Sino-Tibetan-speaking (ST) Akha, Karen, Lahu and Lisu. Except the Lawa, the rest of the hill tribes migrated into their present habitats only very recently. The Thai hill tribes were of much interest to research groups focusing on study of cultural and genetic variation because of their unique languages and cultures. So far, there have been several genetic studies of the Thai hill tribes. However, complete forensic microsatellite database of the Thai hill tribes is still lacking. To construct such database, we newly generated 654 genotypes of 15 microsatellites commonly used in forensic investigation that belong to all the nine hill tribes and also non-hill tribe highlanders from northern Thailand. We also combined 329 genotypes from previous studies of northern Thai populations bringing to a total of 983 genotypes, which were then subjected to genetic structure and population relationships analyses. Our overall results indicated homogenous genetic structure within the HM- and Tai-Kadai (TK)-speaking groups, large genetic divergence of the HM-speaking Hmong but not IuMien from the other Thai groups, and genetic heterogeneity within the ST- and AA-speaking groups, reflecting different population interactions and admixtures. In addition to establishing genetic relationships within and among these populations, our finding, which provides a more complete picture of the forensic microsatellite database of the multiple Thai highland dwellers, would not only serve to expand and strengthen forensic investigation in Thailand, but would also benefit its neighboring countries of Laos and Myanmar, from which many of the Thai hill tribes originated and where large populations of these ethnic groups still reside.
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Affiliation(s)
- Aornpriya Mawan
- Department of Biology, Faculty of Science, Khon Kaen University, Khon Kaen 40002, Thailand; (A.M.); (N.P.); (S.S.)
| | - Nonglak Prakhun
- Department of Biology, Faculty of Science, Khon Kaen University, Khon Kaen 40002, Thailand; (A.M.); (N.P.); (S.S.)
| | - Kanha Muisuk
- Department of Forensic Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen 40002, Thailand;
| | - Suparat Srithawong
- Department of Biology, Faculty of Science, Khon Kaen University, Khon Kaen 40002, Thailand; (A.M.); (N.P.); (S.S.)
| | - Metawee Srikummool
- Department of Biochemistry, Faculty of Medical Science, Naresuan University, Phitsanulok 65000, Thailand;
| | - Jatupol Kampuansai
- Department of Biology, Faculty of Science, Chiang Mai University, Chiang Mai 50202, Thailand; (J.K.); (A.I.)
- Research Center in Bioresources for Agriculture, Industry and Medicine, Chiang Mai University, Chiang Mai 50202, Thailand
| | - Rasmi Shoocongdej
- Department of Archaeology, Faculty of Archaeology, Silpakorn University, Bangkok 10200, Thailand;
| | - Angkhana Inta
- Department of Biology, Faculty of Science, Chiang Mai University, Chiang Mai 50202, Thailand; (J.K.); (A.I.)
- Research Center in Bioresources for Agriculture, Industry and Medicine, Chiang Mai University, Chiang Mai 50202, Thailand
| | - Sukhum Ruangchai
- Department of Physics, Faculty of Science, Khon Kaen University, Khon Kaen 40002, Thailand;
| | - Wibhu Kutanan
- Department of Biology, Faculty of Science, Khon Kaen University, Khon Kaen 40002, Thailand; (A.M.); (N.P.); (S.S.)
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Guo F. Genetic polymorphism of 17 autosomal STR loci in the Lahu ethnic minority from Yunnan Province, Southwest China. Forensic Sci Int Genet 2017; 31:e52-e53. [DOI: 10.1016/j.fsigen.2017.08.002] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2017] [Revised: 07/31/2017] [Accepted: 08/04/2017] [Indexed: 10/19/2022]
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Allele frequencies of 17 autosomal STR loci in the Va ethnic minority from Yunnan Province, Southwest China. Int J Legal Med 2017; 131:1251-1252. [PMID: 28589260 DOI: 10.1007/s00414-017-1620-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2017] [Accepted: 05/30/2017] [Indexed: 10/19/2022]
Abstract
Allele frequencies and forensic parameters for 17 autosomal short tandem repeat (STR) loci were investigated from 1542 individuals of Va ethnic minority in Yunnan Province in the southwest of China. Also, genetic distances between Va and 13 published populations were compared, and a neighbor-joining (NJ) phylogenetic tree was developed and visualized using averaged F ST matrix. Results demonstrate that these loci are highly polymorphic in the Va population and can be applied in forensic, population genetic, and linguistic fields.
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Genetic variation of 17 autosomal STR loci in the Zhuang ethnic minority from Guangxi Zhuang Autonomous Region in the south of China. Forensic Sci Int Genet 2017; 28:e51-e52. [DOI: 10.1016/j.fsigen.2017.03.015] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2016] [Revised: 02/08/2017] [Accepted: 03/12/2017] [Indexed: 11/21/2022]
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Li J, Guo F, He W, Zhai D, Chen X, Ou J, Zeng F, Cheng B. Allele frequencies of 15 autosomal STR loci in the Yi ethnic minority from Yunnan Province in the far southwest of China. Forensic Sci Int Genet 2016; 26:e23-e24. [PMID: 28029587 DOI: 10.1016/j.fsigen.2016.10.013] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2016] [Revised: 10/03/2016] [Accepted: 10/23/2016] [Indexed: 10/20/2022]
Affiliation(s)
- Jun Li
- Department of Forensic Medicine, National Police University of China, No. 83, Tawan Street, Huanggu District, Shenyang, Liaoning 110854, China
| | - Fei Guo
- Department of Forensic Medicine, National Police University of China, No. 83, Tawan Street, Huanggu District, Shenyang, Liaoning 110854, China.
| | - Wei He
- Criminal Investigation Department of Yunnan Province, No. 656, Guangfu Road, Xishan District, Kunming, Yunnan 650228, China
| | - Dian Zhai
- Criminal Investigation Department of Yunnan Province, No. 656, Guangfu Road, Xishan District, Kunming, Yunnan 650228, China
| | - Xueyun Chen
- Criminal Investigation Department of Yunnan Province, No. 656, Guangfu Road, Xishan District, Kunming, Yunnan 650228, China
| | - Junxing Ou
- Criminal Investigation Department of Yunnan Province, No. 656, Guangfu Road, Xishan District, Kunming, Yunnan 650228, China
| | - Faming Zeng
- Criminal Investigation Department of Yunnan Province, No. 656, Guangfu Road, Xishan District, Kunming, Yunnan 650228, China
| | - Baowen Cheng
- Criminal Investigation Department of Yunnan Province, No. 656, Guangfu Road, Xishan District, Kunming, Yunnan 650228, China
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