My research interests are focused on using existing tools to do genome wide association analysis, devise ways to handle large datasets, build databases and make the results easily accessible to our collaborators.
I am currently involved in next generation exome sequencing data analysis to discover susceptibility genes for cardiovascular disease.
A comprehensive 1000 Genomes–based genome-wide association meta-analysis of coronary artery disease
(2015), Nature Genetics, 47, 1121 - 1130
Genome-Wide Analysis of Left Ventricular Maximum Wall Thickness in the UK Biobank Cohort Reveals a Shared Genetic Background With Hypertrophic Cardiomyopathy
Aung N. et al, (2023), Circulation: Genomic and Precision Medicine
Discovery and systematic characterization of risk variants and genes for coronary artery disease in over a million participants.
Aragam KG. et al, (2022), Nat Genet
Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis.
Kanoni S. et al, (2022), Genome biology, 23