Evidence map›Paper›PMID 41351031›Full record

ArticleHereditas2025

Performance of a self-developed panel for biogeographic ancestry inference and dissection of the genetic background of three Tibetan groups.

Yifeng Lin, Xi Yuan, Xi Wang, Shuanglin Li, Hongbin Yao, Bonan Dong, Bofeng Zhu

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Article in Hereditas, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

7 authors.

Yifeng LinGuangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, Guangdong, China.
Xi YuanGuangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, Guangdong, China.
Xi WangGuangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, Guangdong, China.
Shuanglin LiDepartment of Anatomy and Histology, School of Basic Medical Sciences, Shenzhen University, Shenzhen, China.
Hongbin YaoBelt and Road Research Center for Forensic Molecular Anthropology, Key Laboratory of Evidence Science of Gansu Province, Gansu University of Political Science and Law, Lanzhou, Gansu, China.
Bonan DongGuangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, Guangdong, China.
Bofeng ZhuGuangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, Guangdong, China. zhubofeng7372@126.com.

Funding

Guangdong Provincial Science and Technology Program No. 2024A1111120006National Natural Science Foundation of China No. 82293652
6 · The paper itself

Abstract

backgroundIn this study, we used a panel consisting of 56 autosomal ancestry-informative insertion/deletions (AIM-InDels) for biogeographic ancestry inference, three Y-InDels, and one Amelogenin gene, and verified its performance in Gannan Tibetan, Qinghai Tibetan, and Tibet Tibetan groups. Meanwhile, we analyzed the genetic structures of these three Tibetan groups.

resultsThe results showed that 56 AIM-InDels performed better at classifying African and East Asian individuals without noisy labels compared with other intercontinental populations. By the addition of noisy labels, the SVM model was robust when the proportion of noisy labels was small. Furthermore, the African and East Asian populations showed better performance than the other three intercontinental populations. And the 56 AIM-InDels could be used for individual identification and full sibling identification of three Tibetan groups. Population genetic analysis of three Tibetan groups showed that their genetic structures were similar to East Asian populations.

conclusionsThis panel can not only be effectively used for biogeographic ancestry inference in African and East Asian populations but also provide insights into the genetic structures of three Tibetan groups.

Indexed as

EthnicityGenetics, PopulationAfrican PeopleBlack PeopleEast Asian PeopleHumansINDEL MutationPhylogeographyTibetBiogeographic ancestry inferenceGenetic structureInsertion/deletion polymorphismMachine learningTibetan group

Identifiers

PMID41351031
PMCPMC12797779

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