Ken Benjamin Hanscombe

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 uses genetic data to support cardiorespiratory fitness (CRF) as a clinical vital sign and advocates for routine physical activity prescription in healthcare.

This study uses multiple depression measures to improve the validity of Major Depressive Disorder cases in the UK Biobank, finding increased genetic contribution with more measures.

This study identifies cell types associated with brain complex traits using GWAS and single-cell transcriptomics, revealing novel roles for oligodendrocytes in Parkinson's disease.

The paper estimates genetic correlations between eating disorder and substance-use-related phenotypes using GWAS data, finding both positive and negative associations.

This study investigates whether genetic variation in the Major Histocompatibility Complex (MHC) is associated with depression risk, finding no significant associations at a conservative threshold.

This study identifies common genetic variants associated with pulmonary arterial hypertension risk and survival, focusing on HLA-DPA1/DPB1 and a SOX17 enhancer locus.

The paper constructs a phenome map using genetic correlations from 465 GWAS to cluster human traits and identify pathway enrichments.