1. Identification of novel drug targets for multiple sclerosis by integrating plasma genetics and proteomes
- Author
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Yi Liu, Qian Wang, Yuhui Zhao, Liu Liu, Jingxi Hu, Yao Qiao, Jinyi Chen, and Chao Qin
- Subjects
Multiple sclerosis ,Proteome-wide association studies ,Bayesian colocalization ,Mendelian randomization ,Genome-wide association studies ,Medicine ,Biology (General) ,QH301-705.5 - Abstract
Background: Genome-wide association studies (GWAS) have revealed numerous loci associated with multiple sclerosis (MS). However, the challenge lies in deciphering the mechanisms by which these loci influence the target traits. Here, we employed an integrative analytical pipeline to efficiently transform genetic associations to identify novel proteins for MS. Methods: We systematically integrated MS GWAS data (N = 115,803) with human plasma proteome data (N = 7213) and conducted proteome-wide association studies (PWAS) to identify MS-associated pathogenic proteins. Following this, we employed Mendelian randomization and Bayesian colocalization analyses to verify the causal relationship between these significant plasma proteins and MS. Lastly, we utilized the Drug-Gene Interaction Database (DGIdb) to identify potential drug targets for MS. Results: The PWAS identified 25 statistically significant cis-regulated plasma proteins associated with MS at a false discovery rate of P
- Published
- 2024
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