Dirk H. M. Pelt

This study uses multivariate twin analysis to show that wellbeing has distinct genetic components across its subscales and moderate to high genetic overlap with other wellbeing measures, but no single common genetic factor.

This study uses multi-omics data from 2,320 participants to identify latent factors capturing shared variation across genomic, epigenomic, and transcriptomic layers, finding one factor associated with wellbeing, though its significance diminishes after covariate correction.

This study investigates the link between blood metabolites and wellbeing in adults using a large sample from the Netherlands Twin Register, finding no significant associations but suggesting a potential role for lipid metabolism.

This study uses GWAS-by-subtraction to identify genetic variants specific to happiness and meaning in life independent of depressive symptoms in the UK Biobank.