Identifying causal genes for migraine by integrating the proteome and transcriptome.

ABSTRACT:

Background

While previous genome-wide association studies (GWAS) have identified multiple risk variants for migraine, there is a lack of evidence about how these variants contribute to the development of migraine. We employed an integrative pipeline to efficiently transform genetic associations to identify causal genes for migraine.

Methods

We conducted a proteome-wide association study (PWAS) by combining data from the migraine GWAS data with proteomic data from the human brain and plasma to identify proteins that may play a role in the risk of developing migraine. We also combined data from GWAS of migraine with a novel joint-tissue imputation (JTI) prediction model of 17 migraine-related human tissues to conduct transcriptome-wide association studies (TWAS) together with

SUBMITTER: Li SJ 

PROVIDER: S-EPMC10433568 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature