Aniruddh P. Patel

This study evaluates polygenic risk scores for cardiovascular diseases in predicting carotid stenosis, finding that PAD and CAD PRSs show significant associations and improved discrimination over traditional risk factors.

This study examines associations between leukocyte telomere length and genomic, phenomic, and geographic factors in diverse U.S. populations, identifying novel loci and genes.

The paper evaluates the instability of polygenic risk scores (PRS) across different publications and introduces an integrative scoring framework to improve classification consistency.

This paper develops a polygenic score for peripheral artery disease (PAD) that improves risk prediction across diverse populations and identifies high-risk individuals for adverse limb events.

Admix-kit provides tools for genetic analysis of admixed populations, enabling simulation, association testing, and polygenic scoring.

This paper integrates monogenic, polygenic, and clinical risk factors to predict disease risk for carriers of rare variants, identifying elevated risk in 18.22% of UK Biobank participants for breast cancer, familial hypercholesterolemia, and colorectal cancer.

The paper examines how polygenic risk modifies the penetrance of monogenic variants in coronary artery disease, breast cancer, and colorectal cancer across multiple cohorts.