Donald J. MacIntyre

This study identifies genetic risk loci and factors underlying clinical subtypes of bipolar disorder using GWAS and meta-analysis.

This study identifies traits associated with polygenic risk for depression using UK Biobank data and finds causal links between depression risk and brain structure, as well as environmental interactions.

The paper examines how genetic and environmental factors influence DNA methylation at variably methylated regions in neonatal blood, finding that combined effects best explain methylation variability.

This study performs genome-wide association studies and genome-wide by environment interaction studies of depressive symptoms and stress in UK Biobank and Generation Scotland, identifying genetic and gene-environment interactions associated with depression.

This study validates the diathesis-stress model for depression by showing gene-environment interaction effects, particularly in women, using data from Generation Scotland.

The paper applies polygenic risk scoring to a large family with bipolar and depressive disorders to study genetic risk patterns and anticipation.

Genome-wide association meta-analysis of 130,664 major depression cases and 330,470 controls identifies 44 independent risk loci enriched in cortical neurons, conserved mammalian regions, splicing networks, and antidepressant targets.