Novel insight into the aetiology of rheumatoid arthritis gained by a cross-tissue transcriptome-wide association study.
Jing NiPeng WangKang-Jia YinXiao-Ke YangHan CenCong SuiGuo-Cui WuHai-Feng PanPublished in: RMD open (2023)
Our study unveils 13 new candidate genes whose predicted expression is associated with risk of RA, providing new insights into the underlying genetic architecture of RA.