Aragam, Krishna G.

Genome-wide polygenic scores for common diseases identify individuals with risk equivalent to monogenic mutations

Khera, A. V., Chaffin, M., Aragam, K. G., Haas, M. E., Roselli, C., Choi, S. H., Natarajan, P., Lander, E. S., Lubitz, S. A., Ellinor, P. T., et al. (2018) · Nature Genetics

Genetic Associations and EpidemiologyGenetic and phenotypic traits in livestock

Cited by 2,953

Polygenic Prediction of Weight and Obesity Trajectories from Birth to Adulthood

Khera, A. V., Chaffin, M., Wade, K. H., Zahid, S., Brancale, J., Xia, R., Distefano, M., Senol-Cosar, O., Haas, M. E., Bick, A., et al. (2019) · Cell

Genetic Associations and EpidemiologyGenetics and Physical Performance

Cited by 789

Analysis of cardiac magnetic resonance imaging in 36,000 individuals yields genetic insights into dilated cardiomyopathy

Pirruccello, J. P., Bick, A., Wang, M., Chaffin, M., Friedman, S., Yao, J., Guo, X., Venkatesh, B. A., Taylor, K. D., Post, W. S., et al. (2020) · Nature Communications

Cardiomyopathy and Myosin StudiesGenetic Associations and Epidemiology

Cited by 267

“Road Map” to Improving Enrollment in Cardiac Rehabilitation: Identifying Barriers and Evaluating Alternatives

Pirruccello, J. P., Traynor, K., & Aragam, K. G. (2017) · Journal of the American Heart Association

Cardiac Health and Mental HealthMedical Practices and Rehabilitation

Cited by 12