medRxivGenetic & Genomic MedicinePreprint
Trans-ancestry genome-wide association study identifies novel genetic mechanisms in rheumatoid arthritis
Kazuyoshi IshigakiiD, Saori SakaueiD, Chikashi C. TeraoiD, Yang LuoiD, Kyuto SoneharaiD, Kensuke YamaguchiiD, Tiffany AmariutaiD, Chun Lai TooiD, Vincent A. LauferiD, Ian C. ScottiD, Sébastien ViatteiD, Meiko TakahashiiD, Koichiro OhmuraiD, Akira Murasawa, Motomu HashimotoiD, Hiromu ItoiD, Mohammed HammoudehiD, Samar Al EmadiiD, Basel K. MasriiD, Hussein Mohammed HalabiiD, Humeria Badsha, Imad W. UthmaniD, Xin WuiD, Lin LiiD, Ting Chun LiniD, , Soumya RaychaudhuriiD
Abstract
Trans-ancestry genetic research promises to improve power to detect genetic signals, fine-mapping resolution, and performances of polygenic risk score (PRS). We here present a large-scale genome-wide association study (GWAS) of rheumatoid arthritis (RA) which includes 276,020 samples of five ancestral groups. We conducted a trans-ancestry meta-analysis and identified 124 loci (P < 5 x 10-8), of which 34 were novel. Candidate genes at the novel loci suggested essential roles of the immune system (e.g., TNIP2 and TNFRSF11A) and joint tissues (e.g., WISP1) in RA etiology. Trans-ancestry fine mapping identified putatively causal variants with biological insights (e.g., LEF1). Moreover, PRS based on trans-ancestry GWAS outperformed PRS based on single-ancestry GWAS and had comparable performance between European and East Asian populations. Our study provides multiple insights into the etiology of RA and improves genetic predictability of RA.
- organism: human
- assay: GWAS summary statistics
- research focus: GWAS / association mapping
- research focus: fine-mapping
- approach: statistical model
- Citations
- 13
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