Kernel-based genetic association analysis for microbiome phenotypes identifies host genetic drivers of beta-diversity.

ABSTRACT:

Background

Understanding human genetic influences on the gut microbiota helps elucidate the mechanisms by which genetics may influence health outcomes. Typical microbiome genome-wide association studies (GWAS) marginally assess the association between individual genetic variants and individual microbial taxa. We propose a novel approach, the covariate-adjusted kernel RV (KRV) framework, to map genetic variants associated with microbiome beta-diversity, which focuses on overall shifts in the microbiota. The KRV framework evaluates the association between genetics and microbes by comparing similarity in genetic profiles, based on groups of variants at the gene level, to similarity in microbiome profiles, based on the overall microbiome composition, across all pairs of individuals. By

SUBMITTER: Liu H 

PROVIDER: S-EPMC10116795 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature