{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Swain-Lenz D"],"funding":["NIGMS NIH HHS"],"pagination":["2199-2206"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC5560816"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["206(4)"],"pubmed_abstract":["An ongoing challenge in biology is to predict the phenotypes of individuals from their genotypes. Genetic variants that cause disease often change an individual's total metabolite profile, or metabolome. In light of our extensive knowledge of metabolic pathways, genetic variants that alter the metabolome may help predict novel phenotypes. To link genetic variants to changes in the metabolome, we studied natural variation in the yeast <i>Saccharomyces cerevisiae</i> We used an untargeted mass spectrometry method to identify dozens of metabolite Quantitative Trait Loci (mQTL), genomic regions containing genetic variation that control differences in metabolite levels between individuals. We mapped differences in urea cycle metabolites to genetic variation in specific genes known to regulate a"],"journal":["Genetics"],"pubmed_title":["Causal Genetic Variation Underlying Metabolome Differences."],"pmcid":["PMC5560816"],"funding_grant_id":["R01 GM092910"],"pubmed_authors":["Nikolskiy I","Nayler D","Cohen BA","Sudarsanam P","Swain-Lenz D","Cheng J","Staller MV"],"additional_accession":[]},"is_claimable":false,"name":"Causal Genetic Variation Underlying Metabolome Differences.","description":"An ongoing challenge in biology is to predict the phenotypes of individuals from their genotypes. Genetic variants that cause disease often change an individual's total metabolite profile, or metabolome. In light of our extensive knowledge of metabolic pathways, genetic variants that alter the metabolome may help predict novel phenotypes. To link genetic variants to changes in the metabolome, we studied natural variation in the yeast <i>Saccharomyces cerevisiae</i> We used an untargeted mass spectrometry method to identify dozens of metabolite Quantitative Trait Loci (mQTL), genomic regions containing genetic variation that control differences in metabolite levels between individuals. We mapped differences in urea cycle metabolites to genetic variation in specific genes known to regulate a","dates":{"release":"2017-01-01T00:00:00Z","publication":"2017 Aug","modification":"2025-04-19T14:09:17.119Z","creation":"2019-03-26T23:48:42Z"},"accession":"S-EPMC5560816","cross_references":{"pubmed":["28652377"],"doi":["10.1534/genetics.117.203752"]}}