Heritability enrichment in context-specific regulatory networks improves phenotype-relevant tissue identification.

ABSTRACT: Systems genetics holds the promise to decipher complex traits by interpreting their associated SNPs through gene regulatory networks derived from comprehensive multi-omics data of cell types, tissues, and organs. Here, we propose SpecVar to integrate paired chromatin accessibility and gene expression data into context-specific regulatory network atlas and regulatory categories, conduct heritability enrichment analysis with genome-wide association studies (GWAS) summary statistics, identify relevant tissues, and estimate relevance correlation to depict common genetic factors acting in the shared regulatory networks between traits. Our method improves power upon existing approaches by associating SNPs with context-specific regulatory elements to assess heritability enrichments and by explici

SUBMITTER: Feng Z 

PROVIDER: S-EPMC9810332 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature