Genetics of human metabolism: an update.
Ontology highlight
ABSTRACT: Genome-wide association studies with metabolomics (mGWAS) identify genetically influenced metabotypes (GIMs), their ensemble defining the heritable part of every human's metabolic individuality. Knowledge of genetic variation in metabolism has many applications of biomedical and pharmaceutical interests, including the functional understanding of genetic associations with clinical end points, design of strategies to correct dysregulations in metabolic disorders and the identification of genetic effect modifiers of metabolic disease biomarkers. Furthermore, it has been shown that GIMs provide testable hypotheses for functional genomics and metabolomics and for the identification of novel gene functions and metabolite identities. mGWAS with growing sample sizes and increasingly complex metabo
SUBMITTER: Kastenmuller G
PROVIDER: S-EPMC4572003 | biostudies-literature | 2015 Oct
REPOSITORIES: biostudies-literature
ACCESS DATA