Ditte Demontis

The paper introduces an adversarial neural network to identify genetic resilience markers in Alzheimer's disease, finding five SNPs associated with resilience independent of polygenic risk scores.

This paper conducts a multi-ancestry GWAS of stimulant use disorder, identifies 19 genome-wide significant loci, and finds genetic correlations with other psychiatric and substance use disorders.

This study identifies 77 genetic loci associated with suicidality through genome-wide association analyses across multiple cohorts and provides biological insights into its genetic architecture.

The paper identifies rare missense variants in LAR that destabilize the extracellular domain, disrupt LAR:NGL-3 interactions, and impair synaptic adhesion and synaptogenesis.

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.

The paper identifies genetically distinct patient subgroups across diseases by analyzing polygenic risk and pathway convergence.

This study investigates genetic correlations and causal relationships between schizophrenia, cannabis use disorder, and tobacco smoking across African and European ancestries, identifying pleiotropic loci and convergent genetic effects.

This paper identifies shared genetic risk loci between ADHD, cannabis use disorder, and cannabis use, and predicts cannabis use disorder risk in ADHD using polygenic scores.

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 examines genetic liability for psychiatric disorders using disorder-specific and transdiagnostic frameworks, finding that depression PRS is associated with multiple disorders and uncovering four functional domains aligning with RDoC.

The paper uses brain cell-type-specific protein interactomes to interpret genetic data in schizophrenia and identifies enriched networks and genes associated with the disease.

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

A genome-wide association study of 69,369 schizophrenia cases and 236,642 controls identifies 270 risk loci, prioritizes 130 genes, and links common and rare risk variants to neuronal synaptic biology.

This study identifies sex-dependent genetic risk loci shared and specific to mood and psychotic disorders using genome-wide interaction analysis.

This study identifies genetic variants associated with antisocial behavior through a genome-wide association meta-analysis, finding significant links to FOXP2 and correlations with multiple health and behavioral traits.

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.

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 paper introduces quantitative genetic scoring (QGS) to create quantitative genetic variables from arbitrary regions, showing it can reduce genetic data by >98% while explaining phenotypic variance across different granularities.

The paper examines how a polygenic score for educational attainment predicts school performance in children with and without psychiatric disorders, finding reduced predictive power in ADHD but not ASD.

This study identifies nine new genetic loci associated with ADHD and shows shared genetic architecture between childhood and adult ADHD.

This study identifies ADHD risk genes by linking ID-related genes to ADHD through common variants and validates their role in Drosophila behavior.

This study uses Mendelian randomization to investigate bidirectional causal relationships between ADHD liability and substance use, finding evidence of causal effects in both directions for smoking and cannabis use.

This study identifies risk variants and characterizes the polygenic architecture of ADHD comorbid with disruptive behavior disorders through a large GWAS meta-analysis.

This study identifies three novel genes associated with ADHD by linking genetic variants to differential DNA methylation and gene expression in brain tissues.

The paper shows shared genetic risk alleles between ASD and ADHD that have opposite effects on educational attainment, suggesting pleiotropic mechanisms.

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.

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

This paper identifies a genome-wide significant risk locus for cannabis use disorder, implicating CHRNA2 and linking it to cognitive performance.