Manuel Mattheisen

This paper uses GWAS in dogs and humans to identify a gene network linked to compulsive disorders, revealing biological pathways not detectable in human studies alone.

This paper identifies SORCS3 as a novel genetic locus associated with panic disorder through a genome-wide association study in the FinnGen study and validates it in independent samples.

The paper identifies five genomic factors explaining most genetic variance across 14 psychiatric disorders and finds shared and disorder-specific genetic signals with distinct biological functions.

This study evaluates the predictive accuracy of polygenic scores for psychiatric disorders in an Indian population using European GWAS data, finding moderate-to-high accuracy for bipolar disorder but lower for OCD and externalizing traits.

This study conducts a large-scale GWAS of OCD, identifying 15 new genome-wide significant loci and linking OCD to multiple cortical regions and cell types.

This study identifies 64 new risk loci for major depression, refines its genetic architecture, and shows strong genetic overlap with other psychiatric disorders and educational attainment.

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

This paper conducts a GWAS of subclinical obsessive-compulsive symptoms (OCS) in 33,943 individuals, finding polygenic risk and genetic overlap with OCD.

This study identifies four genetic factors underlying 11 psychiatric disorders and finds limited evidence for a single dimension of genetic risk across them.

The paper validates polygenic risk scores for schizophrenia, bipolar disorder, and depression using VA EHR data and shows their association with disease risk and hospitalization.

This study identifies a genome-wide significant variant for OC traits and shows shared genetic risk between OC traits and OCD.

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

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.

This study performs a cross-disorder GWAS meta-analysis of ADHD, ASD, OCD, and TS, identifying 297 genome-wide significant variants and 21 genes associated with shared genetic risk.

RICOPILI is a Perl-based pipeline for efficient GWAS analysis, including quality control, imputation, and meta-analysis, with automated parallelization for rapid data processing.

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

The paper identifies genetic correlations between ADHD and brain volumes, finding negative associations with intracranial volume and specific brain regions.

This study identifies five genome-wide significant loci and seven shared with other traits in a large ASD GWAS, highlighting polygenic heterogeneity and the value of large-scale GWAS in ASD.

Cross-disorder meta-analysis of eight psychiatric GWAS (232,964 cases, 494,162 controls) reports 109 loci shared by two or more disorders and three groups of correlated disorders.

The paper investigates polygenic associations between ADHD and literacy/language abilities, finding that genetic confounding with educational attainment masks ADHD-specific reading impairments.

Genome-wide association meta-analysis of 20,183 ADHD cases and 35,191 controls finds 12 significant loci; signal concentrates in conserved regions, constrained genes, and CNS regulatory elements.

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

The paper describes the methods and recruitment strategies of the Anorexia Nervosa Genetics Initiative (ANGI), which successfully enrolled 13,364 individuals with AN and controls for genetic research.