RT Journal Article
SR Electronic
T1 Identification of 38 novel loci for systemic lupus erythematosus and genetic heterogeneity that may underly population disparities in this disease
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 2020.04.12.037622
DO 10.1101/2020.04.12.037622
A1 Yong-Fei Wang
A1 Yan Zhang
A1 Zhiming Lin
A1 Huoru Zhang
A1 Ting-You Wang
A1 Yujie Cao
A1 David L. Morris
A1 Yujun Sheng
A1 Xianyong Yin
A1 Shi-Long Zhong
A1 Xiaoqiong Gu
A1 Yao Lei
A1 Jing He
A1 Qi Wu
A1 Jiangshan Jane Shen
A1 Jing Yang
A1 Tai-Hing Lam
A1 Jia-Huang Lin
A1 Zhi-Ming Mai
A1 Mengbiao Guo
A1 Yuanjia Tang
A1 Yanhui Chen
A1 Qin Song
A1 Bo Ban
A1 Chi Chiu Mok
A1 Yong Cui
A1 Liangjing Lu
A1 Nan Shen
A1 Pak C. Sham
A1 Chak Sing Lau
A1 David K. Smith
A1 Timothy J. Vyse
A1 Xuejun Zhang
A1 Yu Lung Lau
A1 Wanling Yang
YR 2020
UL http://biorxiv.org/content/early/2020/04/12/2020.04.12.037622.abstract
AB Systemic lupus erythematosus (SLE), a worldwide autoimmune disease with high heritability, shows differences in prevalence, severity and age of onset among different ancestral groups. Previous genetic studies have focused more on European populations, which appear to be the least affected. Consequently, the genetic variations that underly the commonalities, differences and treatment options in SLE among ancestral groups have not been well elucidated. To address this, we undertook a genome-wide association study, increasing the sample size of Chinese populations to the level of existing European studies. Thirty-eight novel SLE-associated loci and incomplete sharing of genetic architecture were identified. Nine disease loci showed clear ancestral group heterogeneity and implicated antibody production as a potential mechanism for differences in disease manifestation. Polygenic risk scores performed significantly better when trained on matched ancestral data sets. These analyses help to reveal the genetic bases for disparities in SLE among ancestral groups.Competing Interest StatementThe authors have declared no competing interest.