MOSTWAS: Multi-Omic Strategies for Transcriptome-Wide Association Studies.

ABSTRACT: Traditional predictive models for transcriptome-wide association studies (TWAS) consider only single nucleotide polymorphisms (SNPs) local to genes of interest and perform parameter shrinkage with a regularization process. These approaches ignore the effect of distal-SNPs or other molecular effects underlying the SNP-gene association. Here, we outline multi-omics strategies for transcriptome imputation from germline genetics to allow more powerful testing of gene-trait associations by prioritizing distal-SNPs to the gene of interest. In one extension, we identify mediating biomarkers (CpG sites, microRNAs, and transcription factors) highly associated with gene expression and train predictive models for these mediators using their local SNPs. Imputed values for mediators are then incorporat

SUBMITTER: Bhattacharya A 

PROVIDER: S-EPMC7971899 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature