Sanjay Kumar Prasad

This paper creates a detailed heart atlas using multimodal data to identify cell states and disease-associated genetic variants in specific heart regions.

This study evaluates polygenic scores for hypertrophic cardiomyopathy (HCM) in the general population and clinical settings, showing increased risk with higher scores and potential for clinical application.

This study identifies 80 genetic loci and 61 effector genes associated with dilated cardiomyopathy through GWAS and integrates transcriptomic data to uncover biological pathways and cellular states involved in the disease.

This paper estimates the penetrance of rare variants in cardiomyopathy genes using cross-sectional data from genetic testing, finding substantial penetrance for dominant cardiomyopathies and variant-specific differences.

This study examines the clinical impact of rare variants in HCM-associated genes in the UK Biobank, finding that pathogenic variants are linked to increased cardiovascular risk and subclinical phenotypes, while non-pathogenic variants show minimal effect.

This study identifies genetic overlaps and distinct variant classes in LVNC compared to DCM and HCM, revealing both shared and unique genetic mechanisms.

This study performs a large GWAS on dilated cardiomyopathy, identifying two new loci and confirming two existing ones, with potential therapeutic implications.

The paper identifies genetic associations with myocardial trabecular complexity using UK Biobank data and shows a causal link to ventricular function and electrical activity.

CardioClassifier is a decision-support tool for inherited cardiac conditions that improves variant interpretation by integrating disease-specific annotations and case data.