Evidence map›Paper›PMID 38448908›Full record

ArticleBMC biology2024

Differentiated adaptative genetic architecture and language-related demographical history in South China inferred from 619 genomes from 56 populations.

Qiuxia Sun, Mengge Wang, Tao Lu, Shuhan Duan, Yan Liu, Jing Chen, Zhiyong Wang, Yuntao Sun, Xiangping Li, Shaomei Wang and 12 more

Open access · goldAbstract read
In one paragraph

Article in BMC biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
6.0field-weighted citation impact, top 3% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

10 citing papers in PubMed, 19 citations in OpenAlex.

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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

22 authors at 10 institutions in 1 country.

Qiuxia Sun *Department of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing, 400331, China.
Mengge Wang *Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China. Menggewang2021@163.com.
Tao Lu *Department of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing, 400331, China.
Shuhan DuanInstitute 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.
Jing ChenInstitute 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.
Yuntao 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.
Shaomei WangInstitute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China.
Liuyi LuInstitute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China.
Liping HuSchool of Forensic Medicine, Kunming Medical University, Kunming, 650500, China.
Libing YunWest China School of Basic Science & Forensic Medicine, Sichuan University, Chengdu, 610041, China.
Junbao YangSchool of Clinical Medical Sciences, North Sichuan Medical College, Nanchong, 637100, China.
Jiangwei YanSchool of Forensic Medicine, Shanxi Medical University, Jinzhong, 030001, China.
Shengjie NieSchool of Forensic Medicine, Kunming Medical University, Kunming, 650500, China.
Yanfeng ZhuDepartment of Public Health, Chengdu Medical College, Chengdu, 610500, China.
Gang ChenHunan Key Lab of Bioinformatics, School of Computer Science and Engineering, Central South University, Changsha, 410075, China.
Chuan-Chao WangState Key Laboratory of Cellular Stress Biology, National Institute for Data Science in Health and Medicine, School of Life Sciences, Xiamen University, Xiamen, 361005, Fujian, China.
Chao LiuFaculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, 510275, China.
Guanglin He *Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China. guanglinhescu@163.com.ORCID http://orcid.org/0000-0002-6614-5267
Renkuan TangDepartment of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing, 400331, China. renktang2012@163.com.
Sichuan University · CNNorth Sichuan Medical University · CNChengdu Medical College · CNChongqing Medical University · CNKunming Medical University · CNShanxi Medical University · CNCentral South University · CNSun Yat-sen University · CNWest China Medical Center of Sichuan University · CNXiamen University · CN

Funding

National Natural Science Foundation of China 82202078
6 · The paper itself

Abstract

backgroundThe underrepresentation of human genomic resources from Southern Chinese populations limited their health equality in the precision medicine era and complete understanding of their genetic formation, admixture, and adaptive features. Besides, linguistical and genetic evidence supported the controversial hypothesis of their origin processes. One hotspot case was from the Chinese Guangxi Pinghua Han people (GPH), whose language was significantly similar to Southern Chinese dialects but whose uniparental gene pool was phylogenetically associated with the indigenous Tai-Kadai (TK) people. Here, we analyzed genome-wide SNP data in 619 people from four language families and 56 geographically different populations, in which 261 people from 21 geographically distinct populations were first reported here.

resultsWe identified significant population stratification among ethnolinguistically diverse Guangxi populations, suggesting their differentiated genetic origin and admixture processes. GPH shared more alleles related to Zhuang than Southern Han Chinese but received more northern ancestry relative to Zhuang. Admixture models and estimates of genetic distances showed that GPH had a close genetic relationship with geographically close TK compared to Northern Han Chinese, supporting their admixture origin hypothesis. Further admixture time and demographic history reconstruction supported GPH was formed via admixture between Northern Han Chinese and Southern TK people. We identified robust signatures associated with lipid metabolisms, such as fatty acid desaturases (FADS) and medically relevant loci associated with Mendelian disorder (GJB2) and complex diseases. We also explored the shared and unique selection signatures of ethnically different but linguistically related Guangxi lineages and found some shared signals related to immune and malaria resistance.

conclusionsOur genetic analysis illuminated the language-related fine-scale genetic structure and provided robust genetic evidence to support the admixture hypothesis that can explain the pattern of observed genetic diversity and formation of GPH. This work presented one comprehensive analysis focused on the population history and demographical adaptative process, which provided genetic evidence for personal health management and disease risk prediction models from Guangxi people. Further large-scale whole-genome sequencing projects would provide the entire landscape of southern Chinese genomic diversity and their contributions to human health and disease traits.

Indexed as

AcclimatizationGenomicsAllelesChinaHumansLanguageBiological adaptationDemographical historyGenetic structureGenomic diversityHan Chinese

Identifiers

PMID38448908
PMCPMC10918984
OpenAlexW4392506712

What Socratic holds

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LicenceCC BY
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Registered trials

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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.