Evidence map›Paper›PMID 41507789›Full record

ArticleBMC genomics2026

Genetic diversity and differentiated adaptive strategies for underrepresented populations at the crossroad of Southeast and East Asia.

Xiangping Li, Liping Hu, Shuhan Duan, Qian Zhou, Yifei Zeng, Chao Liu, Shengjie Nie, Mengge Wang, Guanglin He

Abstract read
In one paragraph

Article in BMC genomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Xiangping Li *School of Forensic Medicine, Kunming Medical University, Kunming, 650500, China.
Liping Hu *School of Forensic Medicine, Kunming Medical University, Kunming, 650500, China. ping772150@163.com.
Shuhan DuanInstitute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China.
Qian ZhouSchool of Forensic Medicine, Kunming Medical University, Kunming, 650500, China.
Yifei ZengSchool of Forensic Medicine, Kunming Medical University, Kunming, 650500, China.
Chao LiuAnti-Drug Technology Center of Guangdong Province, Guangzhou, 510230, China.
Shengjie NieSchool of Forensic Medicine, Kunming Medical University, Kunming, 650500, China. nieshengjie@kmmu.edu.cn.
Mengge WangDepartment of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing, 400331, China. Menggewang2021@163.com.
Guanglin HeInstitute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China. guanglinhescu@163.com.

Funding

1‧3‧5 Project for Disciplines of Excellence, West China Hospital, Sichuan University ZYJC20002National Natural Science Foundation of China 82202078National Natural Science Foundation of China 82402203the Center for Archaeological Science of Sichuan University 23SASA01the Major Project of the National Social Science Foundation of China 23&ZD203the National Key Research and Development Program of China 2022YFC3341001the Open Project of Shanghai Key Laboratory of Forensic Medicine KF202309the Open Project of the Key Laboratory of Forensic Genetics of the Ministry of Public Security 2022FGKFKT05
6 · The paper itself

Abstract

The underrepresentation of populations and limited genomic diversity in Southwest China have hindered understanding of human genetic origins and the evolutionary history of health and disease. Yunnan, a biodiversity hotspot at the intersection of Southeast Asia, the Yunnan-Guizhou Plateau, and the Tibetan Plateau, is home to 25 ethnic groups, 15 of which are unique to the region. The absence of genomic data from Yunnan has constrained insights into demographic histories and biological adaptations, posing challenges to precision medicine and health equity. To fill this gap, we conducted genomic analyses of 13 ethnic groups across five language families and nine regions, integrating these data with modern and ancient Eurasian populations to create a comprehensive dataset of Yunnan populations. Our results revealed significant genetic diversity and language-associated substructures within Yunnan populations. Demographic modeling indicated recent and complex ancient admixture events among ethnolinguistically diverse Yunnan populations. Both recent admixture and culturally specific marriage customs have jointly shaped their genetic composition, with distinct marital practices contributing to the unique genetic architectures of the Miao and Lahu. We also uncovered distinct adaptive patterns across Yunnan populations, including positive selection in lipid-metabolism genes in the Miao, immune-related adaptations in the Hani and Austroasiatic groups, and bitter-taste-perception adaptations in the Wa and Blang populations, driven by cultural preferences for bitter foods. This study deepens understanding of the evolutionary history and biological adaptations of Yunnan populations, while contributing to the development of regional precision medicine approaches and to enhancing health equity in underrepresented communities.

Indexed as

Adaptation, PhysiologicalEast Asian PeopleEthnicityGenetics, PopulationGenetic VariationSoutheast Asian PeopleAsia, EasternAsia, SoutheasternChinaHumansDemographic historyDifferentiated adaptationGenetic diversityYunnan populations

Identifiers

PMID41507789
PMCPMC12874802

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.