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

Authors :
Yeon-Kyung Lee
Kohei Karino
Dae Jin Park
Xiaoting Chen
Xiaodong Zheng
Dong-Qing Ye
So-Young Bang
Leilei Wen
Tae-Hwan Kim
Takuaki Yamamoto
Yukinori Okada
Young Mo Kang
Sreeja Parameswaran
Xuejun Zhang
Cheng-Xu Li
Eunji Ha
Sang Cheol Bae
Hiroyuki Suetsugu
Koichi Amano
Tsutomu Takeuchi
Takayuki Sumida
Ken Yamaji
Hye-Soon Lee
Yuanjia Tang
Seung-Cheol Shim
Viktoryia Laurynenka
Sen Yang
Wanling Yang
Yujun Sheng
Xianyong Yin
Koichi Matsuda
Keitaro Matsuo
Akari Suzuki
Chang-Hee Suh
Weiran Li
Kwangwoo Kim
Lu Liu
Kyungheon Yoon
Bong-Jo Kim
Mi Yeong Hwang
Takeshi Kuroda
Shruti Eswar
Koichiro Ohmura
Keke Li
Tomoya Miyamura
Shiro Ikegawa
Hanan Salim
Yuta Kochi
Chikashi Terao
Won Tae Chung
Sungsin Jo
Changbing Shen
Kazuhiko Yamamoto
Daisuke Takahashi
Mengwei Wang
Masaya Mukai
Minglong Cai
Matthew T. Weirauch
Nao Otomo
Kazuyoshi Ishigaki
Yuma Sakamoto
Nan Shen
Hiroaki Niiro
Takashi Atsumi
Yong-Fei Wang
Junichi Nakamura
Young-Chang Kwon
Leah C. Kottyan
Yong Cui
John B. Harley
Goro Motomura
Masato Shimizu
Yasushi Kawaguchi
Nobuhiko Sugano
Rui-Xue Leng
Jung-Yoon Choe
Takeshi Miyamoto
Yong Beom Park
Jung-Min Shin
Masaru Koido
G.Y. Ahn
Huihua Ding
Wen-Min Fei
Shin-Seok Lee
Young-Ho Park
He Huang
Yoshifumi Tada
Source :
Annals of the Rheumatic Diseases
Publication Year :
2020
Publisher :
BMJ, 2020.

Abstract

ObjectiveSystemic lupus erythematosus (SLE), an autoimmune disorder, has been associated with nearly 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.MethodsWe 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.ResultsWe identified 113 genetic regions including 46 novel loci at genome-wide significance (p−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 (rg=−0.242) and non-albumin protein (rg=0.238).ConclusionThis study 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.

Details

ISSN :
14682060 and 00034967
Volume :
80
Database :
OpenAIRE
Journal :
Annals of the Rheumatic Diseases
Accession number :
edsair.doi.dedup.....c1df8536416d1f595b9d0eb715661c09
Full Text :
https://doi.org/10.1136/annrheumdis-2020-219209