Evidence map›Paper›PMID 38665582›Full record

ArticleHeliyon2024

Malaria resistance-related biological adaptation and complex evolutionary footprints inferred from one integrative Tai-Kadai-related genomic resource.

Shuhan Duan, Mengge Wang, Zhiyong Wang, Yan Liu, Xiucheng Jiang, Haoran Su, Yan Cai, Qiuxia Sun, Yuntao Sun, Xiangping Li and 11 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.9field-weighted citation impact, top 7% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
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  4. 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

21 authors at 7 institutions in 1 country.

Shuhan DuanInstitute of Basic Medicine and Forensic Medicine, North Sichuan Medical College and Center for Genetics and Prenatal Diagnosis, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, 637007, China.
Mengge WangInstitute 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.
Yan LiuInstitute of Basic Medicine and Forensic Medicine, North Sichuan Medical College and Center for Genetics and Prenatal Diagnosis, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, 637007, China.
Xiucheng JiangInstitute of Basic Medicine and Forensic Medicine, North Sichuan Medical College and Center for Genetics and Prenatal Diagnosis, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, 637007, China.
Haoran SuInstitute of Basic Medicine and Forensic Medicine, North Sichuan Medical College and Center for Genetics and Prenatal Diagnosis, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, 637007, China.
Yan CaiInstitute of Basic Medicine and Forensic Medicine, North Sichuan Medical College and Center for Genetics and Prenatal Diagnosis, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, 637007, China.
Qiuxia SunInstitute 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.
Jing ChenInstitute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China.
Yijiu ZhangInstitute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China.
Jiangwei YanSchool of Forensic Medicine, Shanxi Medical University, Jinzhong, 030001, China.
Shengjie NieSchool of Forensic Medicine, Kunming Medical University, Kunming, 650500, China.
Liping HuSchool of Forensic Medicine, Kunming Medical University, Kunming, 650500, China.
Renkuan TangDepartment of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing, 400331, China.
Libing YunWest China School of Basic Science & Forensic Medicine, Sichuan University, Chengdu, 610041, 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 LiuAnti-Drug Technology Center of Guangdong Province, Guangzhou, 510230, China.
Junbao YangInstitute of Basic Medicine and Forensic Medicine, North Sichuan Medical College and Center for Genetics and Prenatal Diagnosis, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, 637007, China.
Guanglin HeInstitute of Basic Medicine and Forensic Medicine, North Sichuan Medical College and Center for Genetics and Prenatal Diagnosis, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, 637007, China.
Sichuan University · CNNorth Sichuan Medical University · CNKunming Medical University · CNShanxi Medical University · CNChongqing Medical University · CNWest China Medical Center of Sichuan University · CNXiamen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pathogen‒host adaptative interactions and complex population demographical processes, including admixture, drift, and Darwen selection, have considerably shaped the Neolithic-to-Modern Western Eurasian population structure and genetic susceptibility to modern human diseases. However, the genetic footprints of evolutionary events in East Asia remain unknown due to the underrepresentation of genomic diversity and the design of large-scale population studies. We reported one aggregated database of genome-wide SNP variations from 796 Tai-Kadai (TK) genomes, including that of Bouyei first reported here, to explore the genetic history, population structure, and biological adaptative features of TK people from southern China and Southeast Asia. We found geography-related population substructure among TK people using the state-of-the-art population genetic structure reconstruction techniques based on the allele frequency spectrum and haplotype-resolved phased fragments. We found that the northern TK people from Guizhou harbored one TK-dominant ancestry maximized in the Bouyei people, and the southern TK people from Thailand were more influenced by Southeast Asians and indigenous people. We reconstructed fitted admixture models and demographic graphs, which showed that TK people received gene flow from ancient southern rice farmer-related lineages related to the Hmong-Mien and Austroasiatic people and from northern millet farmers associated with the Sino-Tibetan people. Biological adaptation focused on our identified unique TK lineages related to Bouyei, which showed many adaptive signatures conferring Malaria resistance and low-rate lipid metabolism. Further gene enrichment, the allele frequency distribution of derived alleles, and their correlation with the incidence of Malaria further confirmed that

Indexed as

Biological adaptationGenetic admixtureMalaria resistancePopulation historyTai-Kadai people

Identifiers

PMID38665582
PMCPMC11043949
OpenAlexW4394611067

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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 OpenQuestion graph.