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Meta-analysis of 208370 East Asians identifies 113 susceptibility loci for systemic lupus erythematosus

  • Japanese Research Committee on Idiopathic Osteonecrosis of the Femoral Head
  • Anhui Medical University
  • Inflammation and Immune Mediated Diseases Laboratory of Anhui Province
  • China-Japan Friendship Hospital
  • University of Michigan, Ann Arbor
  • Kyung Hee University
  • RIKEN
  • Kyushu University
  • Hanyang University
  • The University of Tokyo
  • Koga Hospital 21
  • Keio University
  • Cincinnati Children's Hospital Medical Center
  • The University of Osaka
  • Korea National Institute of Health
  • Sapporo City General Hospital
  • Harvard University
  • Department of Molecular Biology
  • Dong-A University
  • Hokkaido University
  • Chonnam National University
  • Chungnam National University
  • National Hospital Organization Kyushu Medical Center
  • Kyungpook National University
  • Chiba University
  • Ajou University
  • Shanghai Jiao Tong University
  • Yonsei University
  • Niigata University
  • Catholic University of Daegu
  • Peking University
  • Kumamoto University

Research output: Contribution to journalArticlepeer-review

135 Scopus citations

Abstract

Objective Systemic lupus erythematosus (SLE), an autoimmune disorder, has been associated withnearly 100 susceptibility loci. Nevertheless, these loci only partially explain SLE heritability and their putative causal variants are rarely prioritised, which make challenging to elucidate disease biology. To detect new SLE loci and causal variants, we performed the largest genome-wide meta-analysis for SLE in East Asian populations. Methods We newly genotyped 10 029 SLE cases and 180 167 controls and subsequently meta-analysed them jointly with 3348 SLE cases and 14 826 controls from published studies in East Asians. We further applied a Bayesian statistical approach to localise the putative causal variants for SLE associations. Results We identified 113 genetic regions including 46 novel loci at genome-wide significance (p<5×10 -8). Conditional analysis detected 233 association signals within these loci, which suggest widespread allelic heterogeneity. We detected genome-wide associations at six new missense variants. Bayesian statistical fine-mapping analysis prioritised the putative causal variants to a small set of variants (95% credible set size ≤10) for 28 association signals. We identified 110 putative causal variants with posterior probabilities ≥0.1 for 57 SLE loci, among which we prioritised 10 most likely putative causal variants (posterior probability ≥0.8). Linkage disequilibrium score regression detected genetic correlations for SLE with albumin/globulin ratio (r g =-0.242) and non-albumin protein (r g =0.238). Conclusion Thisstudy reiterates the power of large-scale genome-wide meta-analysis for novel genetic discovery. These findings shed light on genetic and biological understandings of SLE.

Original languageEnglish
Pages (from-to)632-640
Number of pages9
JournalAnnals of the Rheumatic Diseases
Volume80
Issue number5
DOIs
StatePublished - 1 May 2021

Keywords

  • epidemiology
  • genetic
  • lupus erythematosus
  • polymorphism
  • systemic

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