Evidence map›Paper›PMID 39953635›Full record

ArticleHereditas2025

Investigating the shared genetic structure between rheumatoid arthritis and stroke.

Qian Qin, Yong'An Jiang, Hengyi Fan, Raorao Yuan, Bo Zhong, Yichen Zhang, Zile Zhang, Xin Lei, Jianhui Cai, Shiqi Cheng

Abstract read
In one paragraph

Article in Hereditas, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Stroke in autoimmune rheumatic diseases.Rheumatology international · 2026
    Review
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

10 authors.

Qian Qin *Department of Neurosurgery, the Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, Jiangxi, P. R. China.
Yong'An Jiang *Department of Neurosurgery, the Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, Jiangxi, P. R. China.
Hengyi FanDepartment of Neurosurgery, the Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, Jiangxi, P. R. China.
Raorao YuanDepartment of Critical Care Medicine, Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, Jiangxi, China.
Bo ZhongDepartment of Neurosurgery, the Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, Jiangxi, P. R. China.
Yichen ZhangDepartment of Neurosurgery, the Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, Jiangxi, P. R. China.
Zile ZhangDepartment of Neurosurgery, the Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, Jiangxi, P. R. China.
Xin LeiDepartment of Neurosurgery, the Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, Jiangxi, P. R. China.
Jianhui CaiDepartment of Neurosurgery, Nanchang County People's Hospital, Nanchang, 330200, Jiangxi, P. R. China. 3407973680@qq.com.
Shiqi ChengDepartment of Neurosurgery, the Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, Jiangxi, P. R. China. doctorchengshiqi@outlook.com.

Funding

the Key project of Jiangxi Provincial Department of Education No,GJJ210118
6 · The paper itself

Abstract

backgroundRheumatoid arthritis (RA) increases the risk of stroke. However, the relationship between RA and stroke remains unclear. This study aimed to explore the shared genetics architecture (i.e., common genetic basis between different traits, diseases, or phenotypes) of RA and stroke, aiming to improve the intervention and management of patients with RA and stroke.

methodsPooled statistics from publicly available genome-wide association studies for RA (8,255 cases and 409,001 controls) and stroke (43,132 cases and 43,132 controls) were used. A genome-wide positive association was conducted to (examine the comprehensive effects of genetic variants on a particular trait, disease, or phenotype at the genome-wide scale). Local genetic correlation studies used linkage disequilibrium score regression and super genetic covariance analyzer. Single nucleotide polymorphisms (SNPs) at risk were identified using genome-wide association study multiple trait analysis and PLINK software (P

resultsA genome-wide significant positive correlation was evident between RA and stroke (genetic correlation = 0.3756). Among the localized genomic regions, the correlation between RA and stroke in the region of chr2:201572564-202,829,668 was the most significant (p = 0.0015). We identified 179 significant SNPs and five common risk genes for RA and stroke (IRF5, RNASET2, ZNF438, UBE2LS, and SYNGR1). These genes are involved in the immune-inflammatory pathway.

conclusionsThe findings suggest a shared genetic structure between RA and stroke. These findings may provide new insights into RA and stroke pathogenesis, and contribute to the development of new diagnostic markers and therapeutic targeted drugs to improve the clinical outcomes of patients with RA and stroke.

Indexed as

Arthritis, RheumatoidGenetic Predisposition to DiseaseStrokeCase-Control StudiesGenome-Wide Association StudyHumansLinkage DisequilibriumPhenotypePolymorphism, Single NucleotideGenome-wide association studiesMulti-trait association analysisRheumatoid arthritisShared genetic structureStroke

Identifiers

PMID39953635
PMCPMC11827134

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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.