Discovering metabolite quantitative trait loci in asthma using an isolated population.

ABSTRACT:

Background

Integration of metabolomics with genetics may advance understanding of disease pathogenesis but has been underused in asthma genetic studies.

Objective

We sought to discover new genetic effects in asthma and to characterize the molecular consequences of asthma genetic risk through integration with the metabolome in a homogeneous population.

Methods

From fasting serum samples collected on 348 Tangier Island residents, we quantified 2612 compounds using untargeted metabolomics. Genotyping was performed using Illumina's MEGA array imputed to the TOPMed reference panel. To prioritize metabolites for genome-wide association analysis, we performed a metabolome-wide association study with asthma, selecting asthma-associated metabolites with heritability q value le

SUBMITTER: Johnson RK 

PROVIDER: S-EPMC9081120 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature