Daniel J. Smıth

This study identifies genetic differences between fear-based anxiety disorders and generalised anxiety disorder using GWAS, finding partial genetic distinction and shared liability to internalising psychopathology.

This study identifies shared genetic loci between chronic pain and depression using genome-wide association data, revealing potential molecular mechanisms underlying their comorbidity.

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

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.

Undergraduate students model human phenotypes in C. elegans to explore its utility as a model organism for human disease and development.

This study identifies correlates of risk for disinhibited behaviors in veterans using polygenic scores and electronic health records, finding strong associations with substance use disorders and related health outcomes.

This study conducts a sex-stratified genome-wide association study of multisite chronic pain in UK Biobank, identifying sex-specific genetic loci and highlighting sex differences in chronic pain mechanisms.

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 study identifies 11 novel SNPs associated with chronic pain and MDD using cFDR analysis, finding pleiotropy involving LRFN5 and other genes.

This study conducts a genome-wide association study of Multisite Chronic Pain in UK Biobank, identifying genetic variants and pathways associated with chronic pain.

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 uses GWAS data to decompose the genetic basis of depression and neuroticism, finding shared and unique genetic factors associated with different traits.

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.

A meta-analysis of 807,553 people from 23andMe, UK Biobank and PGC finds 102 depression variants. 87 of them replicate in 1,306,354 individuals, and heritability is enriched in prefrontal brain regions.

This study evaluates polygenic risk scores for MDD and neuroticism as predictors of antidepressant response across three cohorts, finding no significant prediction but consistent directional effects.

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 conducts a GWAS on depression phenotypes in UK Biobank, identifying genetic variants enriched in excitatory synaptic pathways.

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.

This study finds reduced white matter integrity in individuals with major depressive disorder using UK Biobank imaging data, but no significant subcortical volume differences.