Donald M. Lyall

This study identifies genetic risk factors for panic attacks and disorder through genome-wide meta-analysis and links them to multiple body systems and neuronal functions.

This paper conducts a genome-wide association study of happiness, identifying genetic loci and correlations with personality traits, and shows consistent genetic effects across age and ancestry.

The paper identifies metabolically distinct groups using genetic overlap between schizophrenia and cardiometabolic disease in two cohorts.

The paper investigates associations between APOE genotypes and blood biomarkers in UK Biobank, finding both expected and unexpected links to AD risk factors.

This study identifies 11 novel genome-wide significant loci for anhedonia, finds genetic correlations with major depressive disorder, schizophrenia, and bipolar disorder, and shows polygenic associations with brain structure.

This paper conducts a GWAS of mood instability in 363,705 UK Biobank participants, identifies 46 loci, and finds genetic correlations with psychiatric disorders and brain-specific gene expression.

This study investigates the genetic and environmental links between major depressive disorder and traumatic experiences using UK Biobank data, finding shared genetic factors and distinct patterns in trauma-exposed individuals.

This study examines associations between vascular risk factors and brain MRI indices in UK Biobank, finding that higher vascular risk is linked to poorer brain health across macro- and microstructural measures.

This paper identifies three novel genome-wide significant loci for suicidality using UK Biobank data and finds strong genetic correlations with depression and increased polygenic risk for completed suicide.

This study identifies genetic loci associated with circadian rhythmicity using UK Biobank data and finds polygenic associations with mood instability and major depressive disorder.

This study identifies genetic loci associated with risk-taking behavior and finds shared genetic risk with several psychiatric and physical disorders using UK Biobank data.

The paper examines the association between APOE e4 genotype and brain structural ageing phenotypes in UK Biobank, finding a significant link with white matter hyperintensity volumes but no age interaction.