Multi-trait and cross-population genome-wide association studies across autoimmune and allergic diseases identify shared and distinct genetic component

Yuya Shirai(The University of Osaka), Yoshimitsu Nakanishi(The University of Osaka), Akari Suzuki(RIKEN Center for Integrative Medical Sciences), Hachirou Konaka, Rika Nishikawa(Kobe University), Kyuto Sonehara(The University of Osaka), Shinichi Namba(The University of Osaka), Hiroaki Tanaka(University of Occupational and Environmental Health Japan), Tatsuo Masuda(The University of Osaka), Moto Yaga(The University of Osaka), Shingo Satoh(The University of Osaka), Mayuko Izumi(The University of Osaka), Yumiko Mizuno(The University of Osaka), Tatsunori Jo(The University of Osaka), Yuichi Maeda(The University of Osaka), Takuro Nii(Toneyama National Hospital), Eri Oguro-Igashira(The University of Osaka), Takayuki Morisaki(University of Tokyo Hospital), Yoichiro Kamatani(The University of Tokyo), Shingo Nakayamada(University of Occupational and Environmental Health Japan), Chikako Nishigori(Kobe University), Yoshiya Tanaka(University of Occupational and Environmental Health Japan), Yoshito Takeda(The University of Osaka), Kazuhiko Yamamoto(RIKEN Center for Integrative Medical Sciences), Atsushi Kumanogoh(The University of Osaka), Yukinori Okada(The Institute of Statistical Mathematics)
Annals of the Rheumatic Diseases
June 26, 2022
Cited by 71Open Access
Full Text

Abstract

<h3>Objectives</h3> Autoimmune and allergic diseases are outcomes of the dysregulation of the immune system. Our study aimed to elucidate differences or shared components in genetic backgrounds between autoimmune and allergic diseases. <h3>Methods</h3> We estimated genetic correlation and performed multi-trait and cross-population genome-wide association study (GWAS) meta-analysis of six immune-related diseases: rheumatoid arthritis, Graves’ disease, type 1 diabetes for autoimmune diseases and asthma, atopic dermatitis and pollinosis for allergic diseases. By integrating large-scale biobank resources (Biobank Japan and UK biobank), our study included 105 721 cases and 433 663 controls. Newly identified variants were evaluated in 21 778 cases and 712 767 controls for two additional autoimmune diseases: psoriasis and systemic lupus erythematosus. We performed enrichment analyses of cell types and biological pathways to highlight shared and distinct perspectives. <h3>Results</h3> Autoimmune and allergic diseases were not only mutually classified based on genetic backgrounds but also they had multiple positive genetic correlations beyond the classifications. Multi-trait GWAS meta-analysis newly identified six allergic disease-associated loci. We identified four loci shared between the six autoimmune and allergic diseases (rs10803431 at <i>PRDM2</i>, OR=1.07, p=2.3×10<sup>−8</sup>, rs2053062 at <i>G3BP1</i>, OR=0.90, p=2.9×10<sup>−8</sup>, rs2210366 at <i>HBS1L</i>, OR=1.07, p=2.5×10<sup>−8</sup> in Japanese and rs4529910 at <i>POU2AF1</i>, OR=0.96, p=1.9×10<sup>−10</sup> across ancestries). Associations of rs10803431 and rs4529910 were confirmed at the two additional autoimmune diseases. Enrichment analysis demonstrated link to T cells, natural killer cells and various cytokine signals, including innate immune pathways. <h3>Conclusion</h3> Our multi-trait and cross-population study should elucidate complex pathogenesis shared components across autoimmune and allergic diseases.


Related Papers

No related papers found

Powered by citation graph analysis