title: Metabolomics platforms for genome wide association studies--linking the genome to the metabolome.
abstract: Genome-wide association studies (GWAS) reveal links between genetic variance and predisposition to disease. With the advent of modern 'omics-technologies', GWAS can now identify the genetic factors that influence intermediate traits on pathways to disease, such as blood concentrations of carbohydrates, lipids, amino acids, and secondary metabolites, hormones and signal molecules. At the example of recent GWAS with metabolic traits (mGWAS) we review the high-throughput screening approaches that are available to further advance the field.
authors.affiliation: Institute of Experimental Genetics, Genome Analysis Center, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany. adamski@helmholtz-muenchen.de
authors.forename: Jerzy
authors.initials: J
authors.lastname: Adamski
authors.forename: Karsten
authors.initials: K
authors.lastname: Suhre
mesh_terms: D015331:Cohort Studies; D004777:Environment; D016678:Genome / Q000235:genetics*; D055106:Genome-Wide Association Study / Q000379:methods*; D006801:Humans; D053858:Metabolic Networks and Pathways / Q000235:genetics; D055442:Metabolome / Q000235:genetics*; D055432:Metabolomics / Q000379:methods*; D010641:Phenotype