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Lipidomic Risk Score Independently And Cost-Effectively Predicts Risk Of Future Type 2 Diabetes: Results From Diverse Cohorts, Manju Mamtani, Hemant Kulkarni, Gerard Wong, Jacquelyn M. Weir, Christopher K. Barlow, Thomas D. Dyer, Laura Almasy, Michael C. Mahaney, Anthony G. Comuzzie, David C. Glahn, Sarah Williams-Blangero, Ravindranath Duggirala, John Blangero, Joanne E. Curran
Lipidomic Risk Score Independently And Cost-Effectively Predicts Risk Of Future Type 2 Diabetes: Results From Diverse Cohorts, Manju Mamtani, Hemant Kulkarni, Gerard Wong, Jacquelyn M. Weir, Christopher K. Barlow, Thomas D. Dyer, Laura Almasy, Michael C. Mahaney, Anthony G. Comuzzie, David C. Glahn, Sarah Williams-Blangero, Ravindranath Duggirala, John Blangero, Joanne E. Curran
School of Medicine Publications and Presentations
Background: Detection of type 2 diabetes (T2D) is routinely based on the presence of dysglycemia. Although disturbed lipid metabolism is a hallmark of T2D, the potential of plasma lipidomics as a biomarker of future T2D is unknown. Our objective was to develop and validate a plasma lipidomic risk score (LRS) as a biomarker of future type 2 diabetes and to evaluate its cost-effectiveness for T2D screening.
Methods: Plasma LRS, based on significantly associated lipid species from an array of 319 lipid species, was developed in a cohort of initially T2D-free individuals from the San Antonio Family Heart Study (SAFHS). The …