Applications
A common research challenge today is to make genomics actionable: our ability to identify genomic variation greatly exceeds the field’s ability to tie that variation to functional biology and disease. Detecting genomically-driven variation in metabolite and lipid profiles has been the key to unlock disease drivers in cases such as mutant IDH1/2 in leukemia, or PCSK9 for hyperlipidemia.
Genomically characterized populations can benefit from the full suite of GMet tools for metabolomics and metabolomics analysis software, often starting with more focused inquiry around known enzymatic or regulatory elements associated with a particular genomic variant.
