Area of research
Genetics · Endocrinology, Diabetes and Metabolism
Research interest
Research interests include Genetic Associations and Epidemiology, Diabetes, Cardiovascular Risks, and Lipoproteins, Lipoproteins and Cardiovascular Health, and Genetic Mapping and Diversity in Plants and Animals.
CXCL12 drives natural variation in coronary artery anatomy across diverse populations
Polygenic risk score for type 2 diabetes shows context-dependent effects across populations
Multi-Ancestry Polygenic Risk Score for Coronary Heart Disease Based on an Ancestrally Diverse Genome-Wide Association Study and Population-Specific Optimization
Rare variant contribution to the heritability of coronary artery disease
Abstract 1106: A Plasma Proteomic Signature For Atherosclerotic Cardiovascular Disease Risk Prediction In The UK Biobank
Abstract 4113475: Association of Age at Diabetes Diagnosis and All-cause and Cardiovascular Mortality among 600,000 US Adults
PLASMA PROTEOMICS AND VISCERAL ADIPOSE TISSUE VOLUME: A MACHINE LEARNING ANALYSIS OF INTERACTION BETWEEN BIOMARKERS, SOCIO-BEHAVIORAL, AND FITNESS FACTORS IN UK BIOBANK
7515 Plasma proteomic signatures for type 2 diabetes mellitus and related traits in the UK Biobank
A multi-ancestry polygenic risk score improves risk prediction for coronary artery disease
A genetically supported drug repurposing pipeline for diabetes treatment using electronic health records
Whole-genome sequencing uncovers two loci for coronary artery calcification and identifies ARSE as a regulator of vascular calcification
Author Correction: The power of genetic diversity in genome-wide association studies of lipids
A Multi-Ancestry Polygenic Risk Score for Coronary Heart Disease Based on an Ancestrally Diverse Genome-Wide Association Study and Population-Specific Optimization
Polygenic score informed by genome-wide association studies of multiple ancestries and related traits improves risk prediction for coronary artery disease
Large-scale genome-wide association study of coronary artery disease in genetically diverse populations
Mendelian randomization supports bidirectional causality between telomere length and clonal hematopoiesis of indeterminate potential
Confounders mediate AI prediction of demographics in medical imaging
Using Mendelian randomisation to identify opportunities for type 2 diabetes prevention by repurposing medications used for lipid management
Abstract 14453: Deep Learning Enabled Measurement of Cardiac Sphericity Predicts Disease Risk Among Subjects With Normal Left Ventricular Size and Function
The power of genetic diversity in genome-wide association studies of lipids
Abstract 13771: Combining Clinical and Polygenic Risk Improves Stroke Prediction Among Individuals With Atrial Fibrillation