Integrative genomics analysis of various omics data and networks identify risk genes and variants vulnerable to childhood-onset asthma.

ABSTRACT:

Background

Childhood-onset asthma is highly affected by genetic components. In recent years, many genome-wide association studies (GWAS) have reported a large group of genetic variants and susceptible genes associated with asthma-related phenotypes including childhood-onset asthma. However, the regulatory mechanisms of these genetic variants for childhood-onset asthma susceptibility remain largely unknown.

Methods

In the current investigation, we conducted a two-stage designed Sherlock-based integrative genomics analysis to explore the cis- and/or trans-regulatory effects of genome-wide SNPs on gene expression as well as childhood-onset asthma risk through incorporating a large-scale GWAS data (N = 314,633) and two independent expression quantitative trait loci (eQTL) datase

SUBMITTER: Ma X 

PROVIDER: S-EPMC7457797 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature