Area of research
Genetics · Complementary and alternative medicine
Research interest
Research interests include Genetic Associations and Epidemiology, Cardiovascular and exercise physiology, Nutrition, Genetics, and Disease, and Obesity, Physical Activity, Diet.
Multi-ancestry genome-wide association analyses incorporating SNP-by-psychosocial interactions identify novel loci for serum lipids
A Large-Scale Genome-Wide Gene-Sleep Interaction Study in 732,564 Participants Identifies Lipid Loci Explaining Sleep-Associated Lipid Disturbances
Genome-wide association study and functional characterization identifies candidate genes for insulin-stimulated glucose uptake
Gene-educational attainment interactions in a multi-population genome-wide meta-analysis identify novel lipid loci
Exercise, diet, and cognition in a 4-year randomized controlled trial: Dose-Responses to Exercise Training (DR’s EXTRA)
Multi-ancestry genome-wide gene–sleep interactions identify novel loci for blood pressure
Multi-ancestry genome-wide association study accounting for gene-psychosocial factor interactions identifies novel loci for blood pressure traits
Multi-ancestry genome-wide gene-sleep interactions identify novel loci for blood pressure
Multi-ancestry genome-wide gene–smoking interaction study of 387,272 individuals identifies new loci associated with serum lipids
Multiancestry Genome-Wide Association Study of Lipid Levels Incorporating Gene-Alcohol Interactions
Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity
Multi-ancestry sleep-by-SNP interaction analysis in 126,926 individuals reveals lipid loci stratified by sleep duration
Cardiorespiratory Fitness and Cognition: Longitudinal Associations in the FINGER Study
A multi-ancestry genome-wide study incorporating gene–smoking interactions identifies multiple new loci for pulse pressure and mean arterial pressure
Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries
Genome-wide meta-analysis of 241,258 adults accounting for smoking behaviour identifies novel loci for obesity traits
Trans-Ethnic Fine-Mapping of Lipid Loci Identifies Population-Specific Signals and Allelic Heterogeneity That Increases the Trait Variance Explained