Alexandra C. Gillett

This study uses MR-Clust to identify three MDD genetic clusters with opposing effects on T2D and cardiometabolic risk, linking them to distinct biological pathways and depression subtypes.

LDSC++ improves heritability and genetic correlation estimation in multivariate GWAS by enhancing LD score regression with segmented regression and better handling of shared genetic variants and imputation quality.

UPDOG improves trans-ancestral polygenic score prediction by considering genetic architecture of both discovery and test cohorts, showing improvements in two-thirds of cases across four ancestries and six phenotypes.

The paper investigates gene-environment interactions for depressive symptoms using UK Biobank data, finding limited polygenic-environment interactions but significant residual-environment interactions.

This paper introduces a method to convert polygenic scores to an absolute scale using summary statistics, validated on UK Biobank data, and provides web tools for implementation.