Evidence map›Paper›PMID 41705104›Full record

ArticleNational science review2026

Admixture-driven structural variation diversity and its functional implications.

Haiyi Lou, Yimin Wang, Yu Chai, Zhilin Ning, Ruiqing Fu, Yan Lu, Bo Xie, Sen Ma, Yuwen Pan, Yang Gao and 5 more

Abstract read
In one paragraph

Article in National science review, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

15 authors.

Haiyi LouState Key Laboratory of Genetics and Development of Complex Phenotypes, Center for Evolutionary Biology, School of Life Sciences, Fudan University, Shanghai 200438, China.
Yimin WangShanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China.
Yu ChaiState Key Laboratory of Genetics and Development of Complex Phenotypes, Center for Evolutionary Biology, School of Life Sciences, Fudan University, Shanghai 200438, China.
Zhilin NingShanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China.
Ruiqing FuShanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China.
Yan LuState Key Laboratory of Genetics and Development of Complex Phenotypes, Center for Evolutionary Biology, School of Life Sciences, Fudan University, Shanghai 200438, China.ORCID https://orcid.org/0000-0001-6907-0443
Bo XieShanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China.
Sen MaShanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China.
Yuwen PanShanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China.
Yang GaoState Key Laboratory of Genetics and Development of Complex Phenotypes, Center for Evolutionary Biology, School of Life Sciences, Fudan University, Shanghai 200438, China.
Dongsheng LuState Key Laboratory of Genetics and Development of Complex Phenotypes, Center for Evolutionary Biology, School of Life Sciences, Fudan University, Shanghai 200438, China.
Xinyue BaiShanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China.
Yajun YangMinistry of Education Key Laboratory of Contemporary Anthropology, Fudan University, Shanghai 201203, China.
Dolikun MamatyusupuCollege of Life Sciences and Technology, Xinjiang University, Urumqi 830046, China.
Shuhua XuState Key Laboratory of Genetics and Development of Complex Phenotypes, Center for Evolutionary Biology, School of Life Sciences, Fudan University, Shanghai 200438, China.ORCID https://orcid.org/0000-0002-1975-1002

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Population admixture is a potent evolutionary force shaping genomic diversity, yet its influence on the dynamics and functional consequences of structural variation (SV) remains poorly understood. Here, we present a comprehensive whole-genome sequencing analysis of SVs in the Uyghurs, a model admixed Eurasian population with distinct Western and Eastern ancestral contributions. We identified 9965 high-confidence SVs, revealing that Uyghurs exhibit 32% novel SVs and 1.19-fold greater SV-transcription diversity compared to their ancestral source populations. Crucially, SV diversity follows a non-linear parabolic relationship with ancestry proportions (r = 0.94), peaking when Western/Eastern ancestry contributions are balanced. Admixture-induced recombination at ancestry junctions creates SV hotspots via non-allelic homologous recombination (NAHR), with 60% of post-admixture SVs flanked by homologous repeats. Ancestry-divergent SVs disproportionately regulate gene expression, while admixed variant combinations (e.g.

Indexed as

ancestry biasevolutionary dynamicslocal adaptationnon-allelic homologous recombination (NAHR)population admixturestructural variation (SV)Uyghur

Identifiers

PMID41705104
PMCPMC12908926

What Socratic holds

Textmetadata
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.