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

Author:

Yin XianyongORCID,Kim KwangwooORCID,Suetsugu Hiroyuki,Bang So-Young,Wen Leilei,Koido Masaru,Ha Eunji,Liu Lu,Sakamoto Yuma,Jo Sungsin,Leng Rui-XueORCID,Otomo Nao,Laurynenka Viktoryia,Kwon Young-Chang,Sheng Yujun,Sugano NobuhikoORCID,Hwang Mi Yeong,Li Weiran,Mukai Masaya,Yoon Kyungheon,Cai Minglong,Ishigaki Kazuyoshi,Chung Won Tae,Huang He,Takahashi Daisuke,Lee Shin-Seok,Wang Mengwei,Karino Kohei,Shim Seung-Cheol,Zheng Xiaodong,Miyamura Tomoya,Kang Young Mo,Ye DongqingORCID,Nakamura Junichi,Suh Chang-Hee,Tang Yuanjia,Motomura Goro,Park Yong-Beom,Ding Huihua,Kuroda Takeshi,Choe Jung-Yoon,Li Chengxu,Niiro Hiroaki,Park Youngho,Shen Changbing,Miyamoto Takeshi,Ahn Ga-Young,Fei Wenmin,Takeuchi Tsutomu,Shin Jung-Min,Li Keke,Kawaguchi Yasushi,Lee Yeon-Kyung,Wang YongfeiORCID,Amano Koichi,Park Dae Jin,Yang WanlingORCID,Tada Yoshifumi,Yamaji Ken,Shimizu Masato,Atsumi Takashi,Suzuki Akari,Sumida Takayuki,Okada YukinoriORCID,Matsuda Koichi,Matsuo Keitaro,Kochi Yuta,Kottyan Leah CORCID,Weirauch Matthew T,Parameswaran Sreeja,Eswar Shruti,Salim Hanan,Chen Xiaoting,Yamamoto KazuhikoORCID,Harley John B,Ohmura Koichiro,Kim Tae-HwanORCID,Yang Sen,Yamamoto Takuaki,Kim Bong-Jo,Shen NanORCID,Ikegawa Shiro,Lee Hye-Soon,Zhang Xuejun,Terao ChikashiORCID,Cui Yong,Bae Sang-CheolORCID,

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<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 (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.

Funder

National Natural Science Foundation of China

Provincial Natural Science Foundation of Anhui

RIKEN

Korea National Institute of Health

National BioBank of Korea

Traumatology Research Foundation, lnc

Ministry of Education, Culture, Sports, Sciences and Technology of the Japanese Government and AMED

National Research Foundation of Korea

Cincinnati Children’s Hospital

US Department of Veterans Affairs

Science Foundation of Ministry of Education of China

University of Ministry of Education of China

National Program on Key Basic Research Project of China

US NIH

China National Key R&D Program

Publisher

BMJ

Subject

General Biochemistry, Genetics and Molecular Biology,Immunology,Immunology and Allergy,Rheumatology

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