Bioinformatic insights into five Chinese population substructures inferred from the East Asian-specific AISNP panel
These panels can differentiate ethnolinguistic Chinese populations into five subgroups based on geographical divisions or linguistic affiliations, achieving a high average accuracy rate in machine learning models. This work not only developed a robust ancestry inference panel and new tools for predicting the ancestry of ethnolinguistic Chinese populations but also created a comprehensive reference dataset and machine learning model applicable to population and forensic uses globally.
Authors
- Yuguo Huang (ORCID: https://orcid.org/0000-0003-4523-2289)
- Mengge Wang (ORCID: https://orcid.org/0000-0002-3673-1855)
- Guanglin He (ORCID: https://orcid.org/0000-0002-6614-5267)
- Jiangwei Yan
- Jing Chen (ORCID: https://orcid.org/0000-0002-6227-7393)
- Jie Zhong (ORCID: https://orcid.org/0009-0005-8575-9351)
Institutions
- Shanxi Medical University (CN)
- Sichuan University (CN)
- West China Hospital of Sichuan University (CN)
- Jinzhong University (CN)
- Institute of Forensic Science (CN)
Publication Details
- Journal
- BMC Genomics
- Published
- 2025-08-18
- DOI
- https://doi.org/10.1186/s12864-025-11947-6
- Citations
- 2
- Primary Topic
- Genetic Associations and Epidemiology
- Type
- article
- Field-Weighted Citation Impact
- 3.63
Funders
- National Natural Science Foundation of China
- Sichuan University
- Ministry of Public Security of the People's Republic of China
- Serbian Academy of Sciences and Arts
- National Social Science Fund of China
- Division of Graduate Education