Anika Misra

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.

ALADYNOULLI integrates longitudinal health records and genetic data to model disease progression, identifying interpretable disease signatures with cross-population consistency and improving clinical prediction.