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Polygenic Risk Estimation and Validation to ENhance Treatment - Coronary Heart Disease (PREVENT)

As part of the PRIMED consortium, the Mayo team (Iftikhar Kullo, contact PI and Daniel Schaid, multiple PI) will generate PRSs for populations of diverse ancestry using existing and new datasets with genotype and phenotype data for CHD and its risk factors. They will develop statistical methods to account for admixture and ‘local’ ancestry when estimating PRSs in admixed individuals and investigate whether weighting variants by function improves risk prediction. They will integrate PRSs with clinical information to compute absolute risk estimates for individuals from diverse ancestry groups. 

Contact PI
Program Officer
  • Iman Martin (NIH,  National Institutes of Health)