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.
Multiancestry Genome-Wide Association Study of Lipid Levels Incorporating Gene-Alcohol Interactions.
de Vries PS. et al, (2019), Am J Epidemiol, 188, 1033 - 1054
Multi-ancestry genome-wide gene-smoking interaction study of 387,272 individuals identifies new loci associated with serum lipids.
Bentley AR. et al, (2019), Nat Genet, 51, 636 - 648
Publisher Correction: Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits.
Evangelou E. et al, (2018), Nat Genet, 50
Differential Gene Expression in Macrophages From Human Atherosclerotic Plaques Shows Convergence on Pathways Implicated by Genome-Wide Association Study Risk Variants.
Chai JT. et al, (2018), Arterioscler Thromb Vasc Biol, 38, 2718 - 2730
Neonatal Micro-RNA Profile Determines Endothelial Function in Offspring of Hypertensive Pregnancies.
Yu GZ. et al, (2018), Hypertension, 72, 937 - 945