Evidence map›Paper›PMID 39289776›Full record

ArticleHuman genomics2024

Genetic history and biological adaptive landscape of the Tujia people inferred from shared haplotypes and alleles.

Jing Chen, Mengge Wang, Shuhan Duan, Qingxin Yang, Yan Liu, Mengyang Zhao, Qiuxia Sun, Xiangping Li, Yuntao Sun, Haoran Su and 7 more

Abstract read
In one paragraph

Article in Human genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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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

Who cites it

1 citing paper in PubMed.

  1. Article
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

17 authors.

Jing Chen *School of Forensic Medicine, Shanxi Medical University, Jinzhong, 030600, China.
Mengge Wang *Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China. Menggewang2021@163.com.
Shuhan DuanInstitute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China.
Qingxin YangInstitute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China.
Yan LiuInstitute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China.
Mengyang ZhaoSchool of Forensic Medicine, Shanxi Medical University, Jinzhong, 030600, China.
Qiuxia SunInstitute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China.
Xiangping LiInstitute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China.
Yuntao SunInstitute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China.
Haoran SuInstitute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China.
Zhiyong WangInstitute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China.
Yuguo HuangInstitute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China.
Jie ZhongInstitute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China.
Yuhang FengInstitute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China.
Xiaomeng ZhangSchool of Forensic Medicine, Shanxi Medical University, Jinzhong, 030600, China.
Guanglin HeInstitute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China. guanglinhescu@163.com.
Jiangwei YanSchool of Forensic Medicine, Shanxi Medical University, Jinzhong, 030600, China. yanjw@sxmu.edu.cn.

Funding

City-school Science and Technology Strategic Cooperation Projects 22SXQT0351the National Natural Science Foundation of China 82030058the National Natural Science Foundation of China 82202078the Shanxi Province Graduate Education Innovation Program Project 2023KY369
6 · The paper itself

Abstract

backgroundHigh-quality genomic datasets from under-representative populations are essential for population genetic analysis and medical relevance. Although the Tujia are the most populous ethnic minority in southwestern China, previous genetic studies have been fragmented and only partially reveal their genetic diversity landscape. The understanding of their fine-scale genetic structure and potentially differentiated biological adaptive features remains nascent.

objectivesThis study aims to explore the demographic history and genetic architecture related to the natural selection of the Tujia people, focusing on a meta-Tujia population from the central regions of the Yangtze River Basin.

resultsPopulation genetic analyses conducted on the meta-Tujia people indicate that they occupy an intermediate position in the East Asian North-South genetic cline. A close genetic affinity was identified between the Tujia people and neighboring Sinitic-speaking populations. Admixture models suggest that the Tujia can be modeled as a mixture of northern and southern ancestries. Estimates of f

conclusionsThe study unveils significant population movements and genetic admixture among the Tujia and other ethno-linguistically diverse East Asian groups, elucidating the differentiated adaptation processes across geographically diverse populations from the current genetic landscape.

Indexed as

AllelesGenetics, PopulationSelection, GeneticAdaptation, BiologicalChinaEast Asian PeopleEthnicityGenetic VariationHaplotypesHumansPolymorphism, Single NucleotideBiological adaptationDemographic historyGenetic admixtureGenetic structureTujia

Identifiers

PMID39289776
PMCPMC11409738

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.