Hung‐Hsin Chen

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

The paper develops population-specific polygenic risk scores for Han Chinese using genomic and electronic health record data, showing strong predictive performance for multiple diseases.

The Taiwan Precision Medicine Initiative (TPMI) recruits a large cohort for genetic and electronic medical record studies to advance precision medicine.

The paper identifies genes associated with obesity risk loci by integrating genetic and transcriptomic data from blood and brain tissues.

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 evaluates the clinical impact of pharmacogenetic risk variants in a large Han Chinese cohort, finding that while most carry risk variants, the excess risk of adverse events is small and most patients do not experience adverse outcomes.

This study identifies 22 novel gene-sleep duration interaction loci for blood pressure traits across 811,405 individuals, highlighting distinct genetic influences of short and long sleep on cardiovascular health.

The paper analyzes 292 disease-relevant deleterious variants in 486,956 participants to assess their risk differences, finding most have minimal impact.

This study identifies 17 genetic loci associated with sleep duration and lipid levels, offering potential druggable targets for dyslipidemia in individuals with sleep disturbances.

This paper develops a method to identify undiagnosed carriers of a rare Mendelian disease variant by detecting distant familial relatedness in biobanks.

This study identifies novel genetic loci for BMI, height, and WHRadjBMI in Hispanic/Latino populations and shows the benefits of ancestral diversity in GWAS.

This study identifies genetic loci associated with SARS-CoV-2 susceptibility and disease severity using GWAS and colocalization, and links them to eQTLs in various tissues.