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.
Manhattan++: displaying genome-wide association summary statistics with multiple annotation layers.
Grace C. et al, (2019), BMC Bioinformatics, 20
Associations of autozygosity with a broad range of human phenotypes.
Clark DW. et al, (2019), Nat Commun, 10
A key role for the novel coronary artery disease gene JCAD in atherosclerosis via shear stress mechanotransduction.
Douglas G. et al, (2019), Cardiovasc Res
Identifying small-effect genetic associations overlooked by the conventional fixed-effect model in a large-scale meta-analysis of coronary artery disease.
Magosi LE. et al, (2019), Bioinformatics
Multiancestry Genome-Wide Association Study of Lipid Levels Incorporating Gene-Alcohol Interactions.
de Vries PS. et al, (2019), Am J Epidemiol, 188, 1033 - 1054