Evidence map›Paper›PMID 42860521›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Structural Variants in the Human Genome Associated With Gut Microbiome and Blood Metabolic Traits With Potential Causal Links.

Qun Zhou, Keqing Wang, Junhong Chen, Haoyu Wang, Xinjiang Tan, Xuanlin Huang, Zhiyin Lin, Xun Xu, Xin Jin, Shaoqiao Zhang and 4 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 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

14 authors.

Qun Zhou *BGI Research, Wuhan, China.
Keqing Wang *State Key Laboratory of Genome and Multi-Omics Technologies, BGI Research, Shenzhen, China.
Junhong Chen *BGI Research, Wuhan, China.ORCID https://orcid.org/0000-0002-8313-8317
Haoyu Wang *State Key Laboratory of Genome and Multi-Omics Technologies, BGI Research, Shenzhen, China.ORCID https://orcid.org/0000-0001-8236-3187
Xinjiang TanState Key Laboratory of Genome and Multi-Omics Technologies, BGI Research, Shenzhen, China.ORCID https://orcid.org/0000-0001-6489-1816
Xuanlin HuangState Key Laboratory of Genome and Multi-Omics Technologies, BGI Research, Shenzhen, China.
Zhiyin LinState Key Laboratory of Genome and Multi-Omics Technologies, BGI Research, Shenzhen, China.ORCID https://orcid.org/0009-0005-5936-900X
Xun XuState Key Laboratory of Genome and Multi-Omics Technologies, BGI Research, Shenzhen, China.ORCID https://orcid.org/0000-0002-5338-5173
Xin JinState Key Laboratory of Genome and Multi-Omics Technologies, BGI Research, Shenzhen, China.
Shaoqiao ZhangBGI Research, Wuhan, China.
Liang XiaoState Key Laboratory of Genome and Multi-Omics Technologies, BGI Research, Shenzhen, China.
Yuanqiang ZouState Key Laboratory of Genome and Multi-Omics Technologies, BGI Research, Shenzhen, China.
Tao ZhangBGI Research, Wuhan, China.ORCID https://orcid.org/0000-0003-2765-2802
Xiaomin LiuSchool of Public Health and Emergency Management, School of Medicine, Southern University of Science and Technology, Shenzhen, China.ORCID https://orcid.org/0000-0003-2155-3627

Funding

National Key R&D Program of China 2023YFC2509400National Natural Science Foundation of China 32200548National Natural Science Foundation of China 32670077Youth S&T Talent Support Programme of Guangdong Provincial Association for Science and Technology
6 · The paper itself

Abstract

Research on genetic variants affecting the gut microbiome and blood metabolites has mainly focused on single nucleotide variants (SNPs), leaving structural variants (SVs) largely unexplored. Here, we analyzed high-coverage (∼42×) whole-genome sequencing data from 2002 individuals and constructed a catalog of 138 859 high-confidence SVs, including 44.3% variants not represented in public SV resources. Genome-wide association analyses of 22 519 common SVs identified 30 microbiome-associated and 48 metabolite-associated SV loci, including 19 study-wide significant associations. Notable signals included an Asian-specific 6.5k deletion at TENT2 associated with Coprobacillus sp. 29_1 abundance (β = 0.158, p = 2.5 × 10

Indexed as

blood metabolitesgenome‐wide association analysisgut microbiomehost‐microbe interactionsstructural variants

Identifiers

PMID42860521
PMCPMC13655246

What OpenQuestion 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 OpenQuestion graph.