An integrative multi-omics network-based approach identifies key regulators for breast cancer.

ABSTRACT: Although genome-wide association studies (GWASs) have successfully identified thousands of risk variants for human complex diseases, understanding the biological function and molecular mechanisms of the associated SNPs involved in complex diseases is challenging. Here we developed a framework named integrative multi-omics network-based approach (IMNA), aiming to identify potential key genes in regulatory networks by integrating molecular interactions across multiple biological scales, including GWAS signals, gene expression-based signatures, chromatin interactions and protein interactions from the network topology. We applied this approach to breast cancer, and prioritized key genes involved in regulatory networks. We also developed an abnormal gene expression score (AGES) signature based

SUBMITTER: Chen YX 

PROVIDER: S-EPMC7585874 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature