Toni‐Kim Clarke

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

This study identifies local-scale soil factors, such as depth to gleying and exchangeable Fe, as predictors of acute oak decline symptoms, suggesting a feedback loop between tree health and soil conditions.

The paper identifies genetic variants influencing DNA methylation in blood and shows their associations with complex traits and diseases, but finds limited direct causality.

Meta-analysis of 41,917 European-ancestry bipolar disorder cases versus 371,549 controls yields 64 risk loci (33 novel), neuronal and synaptic gene enrichment, and 15 eQTL-prioritized genes.

This paper conducts a multivariate GWAS of AUDIT items to correct biases and identify novel genetic associations between alcohol consumption, misuse, and health outcomes.

This study identifies 29 risk variants for problematic alcohol use through a large meta-analysis and explores its genetic relationships with other traits.

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 identifies a conserved enhancer variant in the GAL gene associated with male anxiety and ethanol intake using human data and CRISPR mouse models.

The paper associates eQTL-derived gene expression scores with white matter microstructure in UK Biobank, identifying 8 significant genetic proxies linked to structural connectivity traits.

The paper identifies DNA methylation signatures associated with dementia risk factors in blood samples from individuals without Alzheimer's disease.

The paper examines brain age trajectories in young individuals with and without familial risk of mood disorder, finding decelerated brain maturation in those who later develop the disorder.

The paper examines genetic and shared couple environmental factors influencing smoking and alcohol use in the UK population using family and couple data.

This paper conducts GWAS on two epigenetic age acceleration measures, identifying genetic variants and genes associated with each, and highlighting differences in their genetic architectures.

The paper examines common genetic variants' contribution to bipolar disorder risk in multiplex families and finds higher polygenic risk scores in affected individuals compared to controls and unaffected family members.

This paper shows that GWAS using minimal phenotyping for depression identifies non-specific genetic factors shared with other psychiatric conditions, not specific to major depressive disorder.

This study identifies 73 genome-wide significant loci for mood disorders, revealing shared and distinct genetic factors between major depressive disorder and bipolar disorder.

The paper identifies a genetic subgroup within depression linked to age of natural menopause using UK Biobank data, but finds no replication in other cohorts.

This study uses multivariable Mendelian randomization to evaluate the independent effects of alcohol and tobacco use on cardiovascular disease risk factors and events.

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.

The paper identifies a neurobiological distinction in MDD subtypes based on SCZ polygenic risk, showing varying RACC thickness differences between MDD cases and controls.

The paper identifies genetic loci associated with email contact and mental health survey participation in two cohorts, finding genetic correlations with education, health, and psychological distress.

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 identifies 30 genome-wide significant loci associated with bipolar disorder, including novel genes involved in ion channels, neurotransmitters, and synaptic components.

This study uses Mendelian randomization to find a causal link between major depression and alcohol dependence using large genetic datasets.

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

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 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.

This study conducts a trans-ancestral GWAS of alcohol dependence, identifying genetic variants and correlations with psychiatric disorders.

This study identifies 46 novel genetic loci associated with alcohol consumption and suggests shared genetic mechanisms with neuropsychiatric disorders using GWAS and functional analyses.