Martin Pollard

This study evaluates very low depth whole genome sequencing for complex trait association studies, showing it can efficiently discover association signals comparable to imputed GWAS chip designs.

The paper performs deep whole genome sequencing on 1,457 individuals to investigate rare variant contributions to cardiometabolic traits, identifying new regulatory variants and gene-trait associations.