Evidence map›Paper›PMID 38704596›Full record

ArticleJournal of translational medicine2024

Genetic association and causal relationship between multiple modifiable risk factors and autoimmune liver disease: a two-sample mendelian randomization study.

Weize Gao, Chong Peng, Zhan Wang, Yongxin Li, Mingjun Liu

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Article in Journal of translational medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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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

8 citing papers in PubMed.

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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

5 authors.

Weize Gao *Department of Clinical Laboratory, Key Laboratory of Laboratory Medicine, The Affiliated Hospital of Qingdao University, Qingdao, 266003, China.
Chong Peng *Department of Clinical Laboratory, Key Laboratory of Laboratory Medicine, The Affiliated Hospital of Qingdao University, Qingdao, 266003, China.
Zhan WangDepartment of Clinical Laboratory, Key Laboratory of Laboratory Medicine, The Affiliated Hospital of Qingdao University, Qingdao, 266003, China.
Yongxin LiDepartment of Clinical Laboratory, Key Laboratory of Laboratory Medicine, The Affiliated Hospital of Qingdao University, Qingdao, 266003, China.
Mingjun LiuDepartment of Clinical Laboratory, Key Laboratory of Laboratory Medicine, The Affiliated Hospital of Qingdao University, Qingdao, 266003, China. jocklmj@qdu.edu.cn.ORCID 0009-0006-2826-7462

Funding

National Natural Science Foundation of China 81971997
6 · The paper itself

Abstract

backgroundThe intricate etiology of autoimmune liver disease (AILD) involves genetic, environmental, and other factors that yet to be completely elucidated. This study comprehensively assessed the causal association between genetically predicted modifiable risk factors and AILD by employing Mendelian randomization.

methodsGenetic variants associated with 29 exposure factors were obtained from genome-wide association studies (GWAS). Genetic association data with autoimmune hepatitis (AIH), primary biliary cholangitis (PBC) and primary sclerosing cholangitis (PSC) were also obtained from publicly available GWAS. Univariate and multivariate Mendelian randomization analyses were performed to identify potential risk factors for AILD.

resultsGenetically predicted rheumatoid arthritis (RA) (OR = 1.620, 95%CI 1.423-1.843, P = 2.506 × 10

conclusionsEvidence on the causal relationship between 29 genetically predicted modifiable risk factors and the risk of AIH, PBC, and PSC is provided by this study. These findings provide fresh perspectives on the management and prevention strategies for AILD.

Indexed as

Genetic Predisposition to DiseaseGenome-Wide Association StudyMendelian Randomization AnalysisAutoimmune DiseasesCausalityHepatitis, AutoimmuneHumansLiver Cirrhosis, BiliaryLiver DiseasesPolymorphism, Single NucleotideRisk FactorsAutoimmune hepatitisAutoimmune liver diseaseMendelian randomizationModifiable risk factorsPrimary biliary cholangitisPrimary sclerosing cholangitis

Identifiers

PMID38704596
PMCPMC11070123

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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.