Unknown

Dataset Information

Integrative Transcriptome-Wide Analyses Uncover Novel Risk-Associated MicroRNAs in Hormone-Dependent Cancers.


ABSTRACT:

Background

Hormone-dependent cancers (HDC) are among the leading causes of death worldwide among both men and women. Some of the established risk factors of HDC include unhealthy lifestyles, environmental factors, and genetic influences. Numerous studies have been conducted to understand gene-cancer associations. Transcriptome-wide association studies (TWAS) integrate data from genome-wide association studies (GWAS) and gene expression (expression quantitative trait loci - eQTL) to yield meaningful information on biological pathways associated with complex traits/diseases. Recently, TWAS have enabled the identification of novel associations between HDC risk and protein-coding genes.

Methods

In the present study, we performed a TWAS analysis using the summary data-based Mende

SUBMITTER: Jayarathna DK 

PROVIDER: S-EPMC8427606 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature