Evidence map›Paper›PMID 41162548›Full record

ArticleScientific reports2025

Pathogenic genes associated with immune-related genes in graves' disease: a multi-omics Mendelian randomization analysis.

Qianfei Ji, Hong Xu, Haiyan Chen, Xiangfang Chen, Suijun Wang, Junjie Zou

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In one paragraph

Article in Scientific reports, 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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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Qianfei Ji *Department of Endocrinology, The Second Affiliated Hospital (Changzheng Hospital), Naval Medical University, Shanghai, 200003, China.
Hong Xu *General Practice Department, Quyang Street Community Health Service Center of Hongkou District, Shanghai, 200080, China.
Haiyan ChenDepartment of Endocrinology, The Second Affiliated Hospital (Changzheng Hospital), Naval Medical University, Shanghai, 200003, China.
Xiangfang ChenDepartment of Endocrinology, The Second Affiliated Hospital (Changzheng Hospital), Naval Medical University, Shanghai, 200003, China.
Suijun WangDepartment of Endocrinology, Shidong Hospital, Yangpu District, Shidong Hospital Affiliated to University of Shanghai for Science and Technology, Shanghai, 200438, China. wsj801@163.com.
Junjie ZouDepartment of Endocrinology, The Second Affiliated Hospital (Changzheng Hospital), Naval Medical University, Shanghai, 200003, China. zjj1688@163.com.

Funding

Changzheng Hospital Grant 2023YJBF-PY12
6 · The paper itself

Abstract

Immune-related genes (IRGs) have been implicated in autoimmune diseases, but their causal role in GD remains unclear. We conducted a multi-omics Mendelian randomization (MR) analysis integrating genome-wide association study (GWAS) data from GD patients with blood-based methylation quantitative trait loci(mQTLs), expression QTLs(eQTLs), and protein QTLs(pQTLs). SMR analysis was performed to assess the causal associations between IRGs and GD, followed by HEIDI tests to screen for pleiotropy. Colocalization analysis identified shared genetic determinants. We further validated the findings in Finngen R10 and GWAS catalog dataset and explored the regulatory associations between mQTLs, eQTLs, and pQTLs. Through SMR analysis (P-SMR-multi < 0.05, P-SMR < 0.05, P-HEIDI > 0.01), we identified 301 mQTLs, 27 eQTLs, and 11 pQTLs associated with the risk of GD in our discovery cohort. The validation cohort and colocalization analysis (PP.H4 > 0.5) confirmed 79 mQTLs, 5 eQTLs, and 1 pQTL (MMP9). Integrating mQTL and eQTL data, we identified 6 genes with potential causal associations (TNFRSF4, HLA-H, BACH2, TSHR, IL32, MMP9). Integrating eQTL and pQTL data, we identified FGFRL1. Crucially, a functional enrichment analysis of our candidate genes revealed significant enrichment in key immune pathways, providing strong biological support for our findings. IRGs, particularly FGFRL1, play a causal role in the pathogenesis of GD, providing insights into the molecular mechanisms of GD and potential therapeutic targets for future research.

Indexed as

Genetic Predisposition to DiseaseGraves DiseaseMendelian Randomization AnalysisGenome-Wide Association StudyHumansMultiomicsPolymorphism, Single NucleotideQuantitative Trait LociGenetic associationGraves’ diseaseImmune-related genesMendelian randomizationMulti-omics

Identifiers

PMID41162548
PMCPMC12572219

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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.