Jonathan R. I. Coleman

This study investigates rare copy number variants in PTSD using whole-genome sequencing and biobank data, finding significant associations in specific ancestry groups and gene-sets.

The paper examines genetic contributions to educational attainment and occupational status in Estonia during and after the Soviet era using the Estonian Biobank, finding increased genetic influence in education but not occupation.

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 performs a trans-ancestry GWAS of SSRI response in depression, finding suggestive associations and enrichment in serotonergic pathways but no genome-wide significant variants.

This study conducts a genome-wide association analysis of generalised anxiety symptom severity, identifying 80 significant variants and showing genetic correlations with other mental and physical health traits.

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.

This paper conducts a multi-ancestry GWAS of sleep duration, identifying 234 genome-wide significant loci and showing distinct genetic architecture from other sleep and psychiatric traits.

LDSC++ improves heritability and genetic correlation estimation in multivariate GWAS by enhancing LD score regression with segmented regression and better handling of shared genetic variants and imputation quality.

This study identifies 30 genome-wide significant loci for obsessive-compulsive disorder (OCD) using a large GWAS, linking risk to specific brain cell types and shared genetic risk with other psychiatric and non-psychiatric traits.

This study investigates the genetic relationship between depression symptoms and Alzheimer's disease using GWAS and finds significant genetic correlations but no causal link, suggesting proxy cases may drive the overlap.

This study uses genomic PCA to identify shared genetic architecture between brain morphometry, ageing, and cognitive ability using UK Biobank data.

This study identifies genetic overlaps between psychiatric disorders, language ability, and creativity through a GWAS of school grades.

This paper conducts a multi-ancestry GWAS of major depression, identifying 190 loci and 354 genes, with findings showing increased fine-mapping power and bidirectional BMI relationship in European ancestry samples.

This paper conducts a multi-ancestry GWAS meta-analysis of suicide attempt, identifying 12 genome-wide significant loci and finding shared genetic risks with ADHD, smoking, and risk tolerance.

The paper assesses the feasibility of using polygenic scores to analyze cellular morphology in human iPSCs and finds an association between cross-psychiatric disorder risk and cell area.

The paper investigates gene-environment interactions for depressive symptoms using UK Biobank data, finding limited polygenic-environment interactions but significant residual-environment interactions.

This study investigates how genetic and early environmental factors influence retrospective self-reports of childhood trauma and their association with psychopathology risk.

This paper uses genetic data to support cardiorespiratory fitness (CRF) as a clinical vital sign and advocates for routine physical activity prescription in healthcare.

The paper investigates genome-wide interactions between stressful life events and depression using a case-cohort study, identifying three genome-wide significant loci but lacking replication in an independent sample.

This study identifies genetic loci associated with suicide attempts and shows shared genetic architecture with psychiatric disorders and non-psychiatric risk factors.

This study investigates how genetic factors vary with different components of major depressive disorder using UK Biobank data, finding that symptom count and duration significantly affect heritability.

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 study evaluates polygenic scoring methods in a reference-standardized framework, finding that LDPred2, lassosum, and PRScs provide the best predictive performance.

The paper compares ten polygenic score methods for psychiatric disorders across multiple cohorts, finding that some methods significantly improve prediction statistics over the baseline PC+T method.

This study evaluates gene expression risk scores (GeRS) for predicting neuropsychiatric and anthropometric traits, finding they improve prediction when combined with polygenic risk scores (PRS).

This study uses multiple depression measures to improve the validity of Major Depressive Disorder cases in the UK Biobank, finding increased genetic contribution with more measures.

The paper examines sex-differentiated genetic effects across neuropsychiatric and behavioral traits using GWAS summary statistics and finds small, polygenic sex differences with enriched neuron-related genes.

This study investigates how polygenic scores and environmental factors jointly predict educational achievement, finding significant gene-environment correlation but no overall gene-environment interaction.

This study finds that depression with atypical neurovegetative symptoms has distinct genetic links to immune-metabolic traits and alcohol consumption.