Jonathan R. I. Coleman

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

This study uses polygenic risk scores for major depression to examine the continuous nature of depressive symptoms across a large UK Biobank sample.

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.

This study identifies cell types associated with brain complex traits using GWAS and single-cell transcriptomics, revealing novel roles for oligodendrocytes in Parkinson's disease.

The paper compares polygenic scores for education between adopted and non-adopted individuals in the UK Biobank to assess gene-environment interplay, finding stronger genetic prediction in non-adopted individuals.

The paper estimates genetic correlations between eating disorder and substance-use-related phenotypes using GWAS data, finding both positive and negative associations.

This study identifies genetic variants associated with self-reported childhood maltreatment and finds significant genetic correlations with depressive symptoms.

The paper examines phenotypic and genetic relationships between cannabis use, depression, and self-harm using UK Biobank and consortium data, finding associations and genetic correlations.

This study uses family-based genetic effects to estimate heritability of neuroticism and education in the UK Biobank, finding increased heritability and couple environmental influence on education.

This study identifies five novel genome-wide significant loci for anxiety disorders and finds significant genetic correlations with depression, insomnia, and coronary artery disease.

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 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.

The paper identifies and validates modifiable factors for depression prevention using UK Biobank data and Mendelian randomization.

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

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 paper investigates gene-environment correlation by showing that children's genetic predispositions to BMI influence parental feeding practices, with polygenic scores linked to restriction and pressure.

This study conducts the largest GWAS for PTSD, identifying 6 genome-wide significant loci in European and African ancestries and highlighting novel biological pathways.

The paper constructs a phenome map using genetic correlations from 465 GWAS to cluster human traits and identify pathway enrichments.

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

The paper tests the genetic p factor hypothesis by analyzing correlations across psychiatric disorders using multiple methods and finds strong support for a genetic p factor.

This paper conducts a GWAS on suicide attempt across psychiatric disorders, identifying genetic loci and showing polygenic risk for major depression predicts suicide attempt in multiple disorders.

This study identifies 206 new genomic loci and 1,041 genes associated with intelligence using a large GWAS meta-analysis of 279,930 individuals.

This study identifies 114 genome-wide significant loci for schizophrenia and bipolar disorder, with specific subphenotype associations and four genes distinguishing the disorders.

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.

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

The paper identifies brain cell types and genes associated with intelligence using GWAS and single-cell gene expression data from a large cohort.