Mixed-model admixture mapping identifies smoking-dependent loci of lung function in African Americans.
Ontology highlight
ABSTRACT: Admixture mapping has led to the discovery of many genes associated with differential disease risk by ancestry, highlighting the importance of ancestry-based approaches to association studies. However, the potential of admixture mapping in deciphering the interplay between genes and environment exposures has been seldom explored. Here we performed a genome-wide screening of local ancestry-smoking interactions for five spirometric lung function phenotypes in 3300 African Americans from the COPDGene study. To account for population structure and outcome heterogeneity across exposure groups, we developed a multi-component linear mixed model for mapping gene-environment interactions and empirically showed its robustness and increased power. When applied to the COPDGene study, our approach iden
SUBMITTER: Ziyatdinov A
PROVIDER: S-EPMC7171162 | biostudies-literature | 2020 May
REPOSITORIES: biostudies-literature
ACCESS DATA