Bryan L. Dinh

This study conducts a GWAS of Native Hawaiians and Polynesian-ancestry populations to identify population-enriched genetic associations for cardiometabolic traits, confirming some variants and highlighting the need for larger cohorts.

This paper introduces a likelihood-based framework called gLike to infer demographic history from genealogical trees, showing improved accuracy in estimating population parameters compared to existing methods.

This paper introduces a QTL mapping method using expected local genetic relatedness matrices derived from ancestral recombination graphs, improving detection of QTLs in populations with limited imputation resources.

The paper constructs population-specific recombination maps for Native Hawaiians to improve the accuracy of genomic scans for positive selection.

This study investigates the association between Polynesian genetic ancestry and cardiometabolic traits in Native Hawaiians, finding increased risks for diabetes, heart failure, and BMI, but limited replication of a T2D-associated chr6 variant.