Ontology highlight
ABSTRACT:
SUBMITTER: Moore R
PROVIDER: S-EPMC6354905 | biostudies-literature | 2019 Jan
REPOSITORIES: biostudies-literature
Nature genetics 20181126 1
Different exposures, including diet, physical activity, or external conditions can contribute to genotype-environment interactions (G×E). Although high-dimensional environmental data are increasingly available and multiple exposures have been implicated with G×E at the same loci, multi-environment tests for G×E are not established. Here, we propose the structured linear mixed model (StructLMM), a computationally efficient method to identify and characterize loci that interact with one or more en ...[more]