Associate Professor of Cardiovascular Genetics
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
GWAS of random glucose in 476,326 individuals provide insights into diabetes pathophysiology, complications and treatment stratification.
Lagou V. et al, (2023), Nature genetics, 55, 1448 - 1461
Author Correction: The power of genetic diversity in genome-wide association studies of lipids.
Graham SE. et al, (2023), Nature
Genetic Determinants of the Interventricular Septum Are Linked to Ventricular Septal Defects and Hypertrophic Cardiomyopathy
Yu M. et al, (2023), Circulation: Genomic and Precision Medicine