A novel approach to identify optimal metabotypes of elongase and desaturase activities in prevention of acute coronary syndrome.

ABSTRACT: Both metabolomic and genomic approaches are valuable for risk analysis, however typical approaches evaluating differences in means do not model the changes well. Gene polymorphisms that alter function would appear as distinct populations, or metabotypes, from the predominant one, in which case risk is revealed as changed mixing proportions between control and case samples. Here we validate a model accounting for mixed populations using biomarkers of fatty acid metabolism derived from a case/control study of acute coronary syndrome subjects in which both metabolomic and genomic approaches have been used previously. We first used simulated data to show improved power and sensitivity in the approach compared to classic approaches. We then used the metabolic biomarkers to test for evidence of

SUBMITTER: Tintle NL 

PROVIDER: S-EPMC11706515 | biostudies-literature | 2015 Oct

REPOSITORIES: biostudies-literature