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Dataset Information

Pathway analysis of a genome-wide gene by air pollution interaction study in asthmatic children.


ABSTRACT:

Objectives

We aimed to investigate the role of genetics in the respiratory response of asthmatic children to air pollution, with a genome-wide level analysis of gene by nitrogen dioxide (NO2) and carbon monoxide (CO) interaction on lung function and to identify biological pathways involved.

Methods

We used a two-step method for fast linear mixed model computations for genome-wide association studies, exploring whether variants modify the longitudinal relationship between 4-month average pollution and post-bronchodilator FEV1 in 522 Caucasian and 88 African-American asthmatic children. Top hits were confirmed with classic linear mixed-effect models. We used the improved gene set enrichment analysis for GWAS (i-GSEA4GWAS) to identify plausible pathways.

SUBMITTER: Ierodiakonou D 

PROVIDER: S-EPMC10730425 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature