Gazal S

ORCID: 0000-0003-4510-5730 · 2 papers in corpus

2023

A scalable variational approach to characterize pleiotropic components across thousands of human diseases and complex traits using GWAS summary statistics

·doi:10.1101/2023.03.27.23287801

Genome-wide association studies (GWAS) across thousands of traits have revealed the pervasive pleiotropy of trait-associated genetic variants. While methods have been proposed to characterize pleiotropic components across groups of phenotyp…

2020

Large-scale genome-wide association study in a Japanese population identifies novel susceptibility loci across different diseases.

Nature genetics ·doi:10.1038/s41588-020-0640-3

The overwhelming majority of participants in current genetic studies are of European ancestry. To elucidate disease biology in the East Asian population, we conducted a genome-wide association study (GWAS) with 212,453 Japanese individuals …