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Cross-Phenotype GWAS Supports Shared Genetic Susceptibility to Systemic Sclerosis and Primary Biliary Cholangitis.
Luo, Yiming; Khan, Atlas; Liu, Lili; Lee, Cue Hyunkyu; Perreault, Gabriel J; Pomenti, Sydney F; Gourh, Pravitt; Kiryluk, Krzysztof; Bernstein, Elana J.
Afiliação
  • Luo Y; Division of Rheumatology, Department of Medicine, Columbia University Irving Medical Center, New York, NY.
  • Khan A; Division of Nephrology, Department of Medicine, Columbia University Irving Medical Center, New York, NY.
  • Liu L; Division of Nephrology, Department of Medicine, Columbia University Irving Medical Center, New York, NY.
  • Lee CH; Department of Biostatistics, Mailman School of Public Health, Columbia University Irving Medical Center, New York, NY.
  • Perreault GJ; Division of Digestive and Liver Diseases, Department of Medicine, Columbia University Irving Medical Center, New York, NY.
  • Pomenti SF; Division of Digestive and Liver Diseases, Department of Medicine, Columbia University Irving Medical Center, New York, NY.
  • Gourh P; Scleroderma Genomics and Health Disparities Unit, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, MD.
  • Kiryluk K; Division of Nephrology, Department of Medicine, Columbia University Irving Medical Center, New York, NY.
  • Bernstein EJ; Division of Rheumatology, Department of Medicine, Columbia University Irving Medical Center, New York, NY.
medRxiv ; 2024 Jul 03.
Article em En | MEDLINE | ID: mdl-39006426
ABSTRACT

Objective:

An increased risk of primary biliary cholangitis (PBC) has been reported in patients with systemic sclerosis (SSc). Our study aims to investigate the shared genetic susceptibility between the two disorders and to define candidate causal genes using cross-phenotype GWAS meta-analysis.

Methods:

We performed cross-phenotype GWAS meta-analysis and colocalization analysis for SSc and PBC. We performed both genome-wide and locus-based analysis, including tissue and pathway enrichment analyses, fine-mapping, colocalization analyses with expression quantitative trait loci (eQTL) and protein quantitative trait loci (pQTL) datasets, and phenome-wide association studies (PheWAS). Finally, we used an integrative approach to prioritize candidate causal genes from the novel loci.

Results:

We detected a strong genetic correlation between SSc and PBC (rg = 0.84, p = 1.7 × 10-6). In the cross-phenotype GWAS meta-analysis, we identified 44 non-HLA loci that reached genome-wide significance (p < 5 × 10-8). Evidence of shared causal variants between SSc and PBC was found for nine loci, five of which were novel. Integrating multiple sources of evidence, we prioritized CD40, ERAP1, PLD4, SPPL3, and CCDC113 as novel candidate causal genes. The CD40 risk locus colocalized with trans-pQTLs of multiple plasma proteins involved in B cell function.

Conclusion:

Our study supports a strong shared genetic susceptibility between SSc and PBC. Through cross-phenotype analyses, we have prioritized several novel candidate causal genes and pathways for these disorders.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article