Meng Hsuan Lin

This study evaluates polygenic score prediction accuracy and cross-ancestry portability across 3,994 PGSs in diverse populations, identifying factors affecting their performance and equity.

This study models the genomic architecture of adiposity and anthropometrics across the lifespan, identifying shared and distinct genetic factors and their associations with health outcomes.

This paper develops a pipeline for translating type 1 diabetes polygenic risk scores into clinical use, showing they can distinguish type 1 from type 2 diabetes and identify high-risk individuals.

This paper improves GWAS performance in underrepresented groups by reassigning ambiguous ethnicity codes, using ancestry-matched imputation panels, and incorporating environmental covariates.

The paper describes the CCPM Biobank, a dual-purpose genomic resource linking health records and genomic data to support research and clinical applications.

This study shows that using admixed populations in GWAS increases statistical power and improves cross-population polygenic score accuracy compared to single-ancestry populations.

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.

The paper shows that lack of Polynesian representation in genetic reference panels hinders discovery of population-specific variants, but accurate imputation is possible with a small number of Polynesian references.

The paper shows that skin pigmentation in African populations, particularly the KhoeSan, is highly heritable and polygenic, with many new genetic loci identified beyond previously known ones.