Evidence map›Paper›PMID 41060594›Full record

ArticleClinical rheumatology2025

The interactions between HLA alleles and immune indicators were associated with the risk of rheumatoid arthritis.

Xiao Liu, Peng-Yang Yuan, Gao-Hang Zhang, Ling-Huan Bu, Jin-Li Hou, Fei-Yan Deng, Hai-Ying Wu, Shu-Feng Lei

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Article in Clinical rheumatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Xiao LiuDepartment of Endocrinology, Genetics and Metabolism, School of Public Health, Children's Hospital of Soochow University, Suzhou Medical College of Soochow University, Suzhou, Jiangsu, P. R. China.
Peng-Yang YuanCenter for Genetic Epidemiology and Genomics, School of Public Health, Suzhou Medical College of Soochow University, Suzhou, Jiangsu, P. R. China.
Gao-Hang ZhangCenter for Genetic Epidemiology and Genomics, School of Public Health, Suzhou Medical College of Soochow University, Suzhou, Jiangsu, P. R. China.
Ling-Huan BuCenter for Genetic Epidemiology and Genomics, School of Public Health, Suzhou Medical College of Soochow University, Suzhou, Jiangsu, P. R. China.
Jin-Li HouCenter for Genetic Epidemiology and Genomics, School of Public Health, Suzhou Medical College of Soochow University, Suzhou, Jiangsu, P. R. China.
Fei-Yan DengCenter for Genetic Epidemiology and Genomics, School of Public Health, Suzhou Medical College of Soochow University, Suzhou, Jiangsu, P. R. China.
Hai-Ying WuDepartment of Endocrinology, Genetics and Metabolism, Children's Hospital of Soochow University, Suzhou, Jiangsu, P. R. China.
Shu-Feng LeiDepartment of Endocrinology, Genetics and Metabolism, School of Public Health, Children's Hospital of Soochow University, Suzhou Medical College of Soochow University, Suzhou, Jiangsu, P. R. China. leisf@suda.edu.cn.ORCID http://orcid.org/0000-0002-5525-0336

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveRheumatoid arthritis (RA) is a chronic, systemic autoimmune disorder characterized by persistent inflammation and joint pain. However, the pathogenesis of RA remains incompletely understood. The aim of this study was to investigate the interaction between HLA alleles and immune factors in relation to the risk of RA.

methodsLinear regression model was used to assess the association between 133 HLA alleles (with gene frequencies > 1%) and RA. Additionally, we evaluated the potential effects of interactions between HLA alleles and 26 simple immune indicators, as well as four composite immune indicators, on the risk of RA. All analyses were grouped by gender to further explore the potential impact of gender on HLA alleles and immune indicators in RA risk.

resultsThe results showed 37 HLA alleles significantly associated with RA. In the subgroups, 17 and 29 HLA alleles were significantly associated with RA in males and in females, respectively. We identified 44 significant interactions between human leukocyte antigen (HLA) alleles and immune indicators on RA. Further, sex-stratified analyses identified 37 and 45 associations between HLA alleles × immune indicators and RA in males and in females, respectively.

conclusionThis study identified interactions between various HLA alleles and immune indicators that may increase or decrease the risk of RA. These findings may further advance the study of immune genetic factors in RA and contribute to the clinical assessment of RA by HLA alleles and various immune indicators. Key points • Associations between HLA alleles and RA were analyzed. • The interactions between HLA alleles and immune indicators in RA risk were explored.

Indexed as

Arthritis, RheumatoidHLA AntigensAdultAgedAllelesFemaleGene FrequencyGenetic Predisposition to DiseaseHumansMaleMiddle AgedRisk FactorsSex FactorsHLA AntigensHLA allelesImmune factorsRheumatoid arthritis

Identifiers

PMID41060594

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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.