Evidence map›Paper›PMID 40040643›Full record

ArticleNational science review2024

Ancestral origins and post-admixture adaptive evolution of highland Tajiks.

Jia Wen, Jiaojiao Liu, Qidi Feng, Yan Lu, Kai Yuan, Xiaoxi Zhang, Chao Zhang, Yang Gao, Xiaoji Wang, Dolikun Mamatyusupu and 1 more

Abstract read
In one paragraph

Article in National science review, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

7 citing papers in PubMed.

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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

11 authors.

Jia WenState Key Laboratory of Genetic Engineering, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Center for Evolutionary Biology, School of Life Sciences, Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Jiaojiao LiuState Key Laboratory of Genetic Engineering, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Center for Evolutionary Biology, School of Life Sciences, Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Qidi FengKey Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China.
Yan LuState Key Laboratory of Genetic Engineering, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Center for Evolutionary Biology, School of Life Sciences, Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai 200032, China.ORCID https://orcid.org/0000-0001-6907-0443
Kai YuanKey Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China.
Xiaoxi ZhangSchool of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China.
Chao ZhangKey Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China.
Yang GaoState Key Laboratory of Genetic Engineering, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Center for Evolutionary Biology, School of Life Sciences, Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Xiaoji WangKey Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China.
Dolikun MamatyusupuCollege of the Life Sciences and Technology, Xinjiang University, Urumqi 830046, China.
Shuhua XuState Key Laboratory of Genetic Engineering, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Center for Evolutionary Biology, School of Life Sciences, Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai 200032, China.ORCID https://orcid.org/0000-0002-1975-1002

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It remains debatable how many genes and how various the mechanisms are behind human adaptation to extreme environments, such as high altitudes. Despite extensive studies on Tibetans, Andeans and Ethiopians, new insights are expected to be provided with careful analysis of underrepresented highlanders living in a different geographical region, such as the Tajiks, who reside on the Pamir Plateau at an average altitude exceeding 4000 meters. Moreover, genetic admixture, as we observed in the current whole-genome deep-sequencing study of Xinjiang Tajiks (XJT), offers a unique opportunity to explore how admixture may facilitate adaptation to high-altitude environments. Compared with other extensively studied highlanders, XJT showed pronounced admixture patterns: most of their ancestry are derived from West Eurasians (34.5%-48.3%) and South Asians (21.4%-40.0%), and some minor ancestry from East Asians and Siberians (3.62%-17.5%). The greater genetic diversity in XJT than in their ancestral source populations provides a genetic basis for their adaptation to high-altitude environments. The admixture gain of functional adaptive components from ancestral populations could facilitate adaptation to high-altitude environments. Specifically, admixture-facilitated adaptation was strongly associated with skin-related candidate genes that respond to UV radiation (e.g.

Indexed as

cardiovascular systemepidermis protectiongenetic admixturehighlandlocal adaptationpopulation structureTajiks

Identifiers

PMID40040643
PMCPMC11879426

What Socratic holds

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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.