Evidence map›Paper›PMID 42904016›Full record

ArticlehLife2024

Evolutionary history and biological adaptation of Han Chinese people on the Mongolian Plateau.

Xiangping Li, Mengge Wang, Haoran Su, Shuhan Duan, Yuntao Sun, Hongyu Chen, Zhiyong Wang, Qiuxia Sun, Qingxin Yang, Jing Chen and 13 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in hLife, 2024. 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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0cells of the map it votes in
0citing papers in PubMed
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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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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

23 authors.

Xiangping LiSchool of Forensic Medicine, Kunming Medical University, Yunnan, China.
Mengge WangCenter for Archaeological Science, Sichuan University, Sichuan, China.
Haoran SuInstitute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Sichuan, China.
Shuhan DuanInstitute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Sichuan, China.
Yuntao SunInstitute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Sichuan, China.
Hongyu ChenDepartment of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing, China.
Zhiyong WangSchool of Forensic Medicine, Kunming Medical University, Yunnan, China.
Qiuxia SunInstitute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Sichuan, China.
Qingxin YangSchool of Forensic Medicine, Kunming Medical University, Yunnan, China.
Jing ChenInstitute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Sichuan, China.
Ting YangSchool of Forensic Medicine, Kunming Medical University, Yunnan, China.
Yuguo HuangInstitute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Sichuan, China.
Jie ZhongInstitute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Sichuan, China.
Xiucheng JiangInstitute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Sichuan, China.
Jinyue MaInstitute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Sichuan, China.
Shijia ChenDepartment of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing, China.
Yunhui LiuInstitute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Sichuan, China.
Lintao LuoInstitute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Sichuan, China.
Xinyu LinInstitute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Sichuan, China.
Shengjie NieSchool of Forensic Medicine, Kunming Medical University, Yunnan, China.
Chao LiuAnti-Drug Technology Center of Guangdong Province, Guangdong, China.
Liping HuSchool of Forensic Medicine, Kunming Medical University, Yunnan, China.
Guanglin HeCenter for Archaeological Science, Sichuan University, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Complex demographic processes and natural selection pressures are critical to resolving patterns of the molecular genetic basis of adaptive traits or complex diseases. Recent ancient genome data allow us to trace how key traits evolved in different human populations over time, connecting ancient population history with disease susceptibility in western Eurasians. To fill this gap in eastern Eurasians and provide deep insights into the evolutionary history of the population-specific genetic basis of complex biological traits, we explored the evolutionary basis of adaptive traits in one integrative modern and ancient genomic database, including 225 out of 5583 genomes first reported here. We comprehensively characterized the demographic history and biological adaptation of Han Chinese individuals on the Mongolian Plateau based on the allele frequency spectrum and haplotype-resolved fragments. We found strong genetic homogeneity among geographically different Han populations from Inner Mongolia (IMH). We reconstructed their admixture models and demographic events, revealing that IMH had a close genetic relationship with ancient millet farmers and obtained additional gene flow from Altaic-speaking populations. The enrichment of selected candidate genes suggested that essential metabolism-related genes promoted the rapid adaptation of eastern Eurasians to ancient environmental shifts and dietary changes during agricultural innovations. Evolutionary trajectory reconstruction of metabolism-related genes of methylenetetrahydrofolate reductase (

Indexed as

biological adaptationdemographic historymetabolic fitnesspolygenicity and pleiotropy

Identifiers

PMID42904016
PMCPMC13681629

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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 OpenQuestion graph.