Evidence map›Paper›PMID 42801564›Full record

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

Integrating Genetics With Epidemiological Measurements Identifies Burden QTLs of Inflammatory Bowel Disease across 20 Countries.

Chen Sun, Siyu Wei, Junxian Tao, Haiyan Chen, Chi Yan, Jiacheng Wang, Jing Xu, Lian Duan, Yuanbo Zhan, Yuping Zou and 18 more

Abstract read
PubMed Full text at PMC Publisher
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

28 authors.

Chen Sun *College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Siyu Wei *College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Junxian Tao *College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Haiyan Chen *College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Chi YanCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Jiacheng WangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Jing XuFaculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China.
Lian DuanCentral Laboratory, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Yuanbo ZhanDepartment of Periodontology and Oral Mucosa, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Yuping ZouCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Ruilin LiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Linna YuanCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Wei SheCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Songlin LuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Ning WangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Qinduo RenCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Yan GuoCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Yuan XuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Chang WangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Hongsheng TianCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Chen ZhangHarbin Medical University, Harbin, China.
Yu DongHarbin Medical University, Harbin, China.
Guoping TangThe Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, China.
Zhenwei ShangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Yongshuai JiangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.ORCID https://orcid.org/0000-0002-7163-6554
Wenhua LvCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Mingming ZhangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Hongchao LyuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.

Funding

Excellent Youth Support Plan of the Education Department of Heilongjiang Province YQJH2023036Marshal Initiative Funding HMUMIF-22010National Natural Science Foundation of China 31970651 92046018XingLian Outstanding Talent Support Program 2024Zhejiang Provincial Natural Science Foundation of China ZCLMS25H0402
6 · The paper itself

Abstract

It remains unclear whether the observed heterogeneity in the burden of inflammatory bowel disease (IBD) across countries is associated with differences in population genetic structure. To address this problem, we performed a burden quantitative trait locus (bQTL) analysis, integrating epidemiological data (1990-2021) from the Global Burden of Disease (GBD) study with genotypes of 2 621 978 SNPs from 2414 unrelated individuals in the 1000 Genomes Project across 20 matched countries. We identified 1074 bQTLs of IBD, of which 384 were significantly associated with both the age-standardized prevalence rate and age-standardized incidence rate. rs7633471 (chr3:30698616:C>A) showed the strongest effect: each increase in centi-allele frequency (CAF) of the allele C was associated with a 10.00 decrease in age-standardized prevalence rate and a 1.02 decrease in age-standardized incidence rate. Pathway analysis revealed that bQTLs were primarily enriched in synaptic membrane, voltage-gated potassium channel complex, and potassium channel complex. Through fine-mapping, we further identified 800 putative causal variants for IBD, with significant findings located within genes related to the immune system (IGSF21 and CSMD2), inflammatory response (SMPDL3B and AOAH), and intestinal cancers (FHIT and CSMD2). Our study provides the first comprehensive characterization of the genetic architecture underlying the global burden of IBD.

Indexed as

burden quantitative trait locusepidemiologicalgeneticsinflammatory bowel disease

Identifiers

PMID42801564
PMCPMC13616370

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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.