Evidence map›Paper›PMID 42700258›Full record

ArticleInflammation research : official journal of the European Histamine Research Society ... [et al.]2026

The impact for causal associations between common diseases and inflammatory bowel disease: a disease-wide bidirectional Mendelian randomization study.

Yuxuan Sun, Zixin Liang, Zehua Ou, Lei Gao, Yong-Fei Wang, Jinqiu Yuan, Guangjun Yu, Rui Sun

Abstract read
In one paragraph

Article in Inflammation research : official journal of the European Histamine Research Society ... [et al.], 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

8 authors.

Yuxuan SunClinical Big Data Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, 518107, People's Republic of China.
Zixin LiangClinical Big Data Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, 518107, People's Republic of China.
Zehua OuSchool of Public Health, Sun Yat-sen University, Shenzhen, 518107, People's Republic of China.
Lei GaoSchool of Public Health, Sun Yat-sen University, Shenzhen, 518107, People's Republic of China.
Yong-Fei WangSchool of Medicine, The Chinese University of Hong Kong, Shenzhen, 518172, Guangdong, People's Republic of China.
Jinqiu YuanClinical Big Data Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, 518107, People's Republic of China.
Guangjun YuSchool of Medicine, The Chinese University of Hong Kong, Shenzhen, 518172, Guangdong, People's Republic of China. guangjunyu@cuhk.edu.cn.
Rui SunSchool of Medicine, The Chinese University of Hong Kong, Shenzhen, 518172, Guangdong, People's Republic of China. sunrui@cuhk.edu.cn.

Funding

1+1+1 CUHK-CUHK(SZ)-GDSTC Joint Collaboration Fund GRDP2025-056Technology Program and 1+1+1 CUHK-CUHK(SZ)-GDSTC Joint Collaboration Fund GRDP2025-056the Warshel Institute for Computational Biology funding from Shenzhen City and Longgang District LGKCSDPT2025001
6 · The paper itself

Abstract

objectivesObservational studies on associations between various diseases and inflammatory bowel disease (IBD) are often limited by confounding and reverse causation. We aimed to assess potential causal relationships between a wide range of diseases and IBD, including Crohn's disease (CD) and ulcerative colitis (UC).

methodsWe performed a comprehensive bidirectional Mendelian randomization (MR) analysis of 104 common diseases and IBD traits using the generalized summary-data-based MR (GSMR) approach. Genome-wide association study (GWAS) summary statistics for diseases were obtained from the MRC Integrative Epidemiology Unit, and IBD data from the International IBD Genetics Consortium. Summary-data-based MR (SMR) integrating GWAS and expression quantitative trait locus data was applied to identify pleiotropic genes associated with IBD.

resultsMR analyses identified 38, 34, and 52 exposures significantly associated with IBD, UC, and CD, respectively. Childhood- and adult-onset asthma showed distinct causal effects on UC and CD. Reverse MR indicated associations between IBD traits and 15 diseases, including multiple sclerosis. SMR identified RGS14 and CARD9 as pleiotropic genes linked to IBD, suggesting shared genetic mechanisms with asthma and multiple sclerosis.

conclusionsThese findings provide evidence for causal links and shared immune-related genetic mechanisms underlying IBD, highlighting potential targets for future research.

Indexed as

Colitis, UlcerativeCrohn DiseaseInflammatory Bowel DiseasesAsthmaCARD Signaling Adaptor ProteinsGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMendelian Randomization AnalysisMultiple SclerosisPolymorphism, Single NucleotideQuantitative Trait LociCARD9 protein, humanCARD Signaling Adaptor ProteinsGWAS summary dataInflammatory bowel diseaseMendelian randomization

Identifiers

PMID42700258
PMCPMC13546168

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.