David Y. Zhang

The paper introduces ARCHER-LD, a GPU-accelerated method to compute long-range linkage disequilibrium at biobank scale, achieving significant speedups over existing tools.

This paper uses GWAS and mediation analysis on CT-derived phenotypes to show genetic variants influence disease through intermediate imaging traits.

The paper identifies rare protein-coding variants associated with multi-organ MRI traits using exome-wide association analysis in the UK Biobank.

This paper investigates the role of PPP1R3B in hepatic metabolism, finding it acts as a switch that promotes glycogen storage over lipid accumulation, with implications for metabolic diseases.

The paper identifies pleiotropic loci across 1,167 traits using GWAS meta-analysis and shows they are enriched for functional annotations and improve polygenic score predictions.

This study identifies 91 risk loci for gallstone disease through a trans-ancestry GWAS, including 37 novel loci, and links them to metabolic and liver-related traits.

The paper performs whole genome sequence analysis of plasma lipid levels in 66,329 individuals, identifying new lipid-associated alleles, including rare non-coding variants.

This study performs multi-trait GWAS on atherosclerosis-related traits to identify novel pleiotropic loci and their potential biological mechanisms.

This study identifies 35 genes associated with circulating lipid levels using rare coding variants from 170,000 exomes across multiple ancestries.

This study evaluates the efficacy of obesity polygenic risk scores in autistic versus non-autistic populations, finding that genetic variants associated with obesity in non-autistic populations are less representative in autistic individuals.