Penny Gordon‐Larsen

This paper develops and validates multi-ancestry polygenic risk scores for type 2 diabetes prediction and complications across diverse populations.

The paper identifies ancestry-specific eQTL effects in Hispanic/Latino and African American populations, showing how local ancestry influences gene expression and disease risk.

This study integrates metabolomic and genetic data from the CARDIA study to identify novel variants associated with metabolite levels across diverse populations.

This study identifies novel genetic signals associated with severe obesity through GWAS and shows strong genetic overlap with BMI, highlighting shared comorbidities and lifestyle interactions.

The paper identifies urinary metabolite signatures predictive of calorie restriction-mediated weight loss in obese mice, with sex-specific differences observed.

This paper improves genetic scores for adiposity traits in East Asian populations by using trans-ancestry meta-analysis, increasing variance explained compared to European-derived scores.

This study identifies DNA methylation sites associated with central adiposity traits in adults and adolescents using methylome-wide association analyses across multiple cohorts.

This paper identifies 56 new type 2 diabetes loci in 433,540 East Asian individuals through a meta-analysis of GWAS data.