Anders Dupont Børglum

This paper introduces a framework to enhance polygenic prediction by combining multiple polygenic scores, showing significant accuracy improvements for psychiatric disorders and other traits.

This study investigates the association between mitochondrial DNA haplogroups and hydrocephalus using a nested case-cohort design, finding no significant association.

This study identifies 81 genetic loci associated with different hernia types using genome-wide association analysis in the UK Biobank.

This study identifies genetic correlates of phenotypic heterogeneity in autism by analyzing common and de novo variants across core features and co-occurring disabilities.

The paper investigates the female protective effect against autism spectrum disorder by analyzing genetic risk in siblings and parents of ASD cases, finding evidence of sex differences in inherited genetic risk.

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

Exomes of 24,248 schizophrenia cases and 97,322 controls implicate ultra-rare damaging variants in 10 genes, including GRIN2A and GRIA3, with odds ratios of 3 to 50.

This paper introduces LT-FH++, a method that improves GWAS power by incorporating age-of-onset and family history, showing increased significant associations in psychiatric disorders and mortality data.

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 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.

This study identifies seven new genetic loci associated with febrile seizures, linking them to fever response and neuronal excitability genes, and suggests potential clinical applications of polygenic risk scores.

This study compares methods for combining GWAS summary statistics and individual-level data to improve polygenic prediction, finding that Meta-PRS is often more accurate than Meta-GWAS.

The paper identifies sex-differential participation bias in genetic studies by performing GWAS on sex in 3.3 million individuals, finding 158 loci associated with sex and highlighting traits like BMI that may influence participation.

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 a bidirectional association between autoimmune and mental disorders using Danish population data and finds HLA loci linked to autoimmune diseases but not mental disorders.

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 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 performs a meta-analysis of Scandinavian schizophrenia exomes, identifying three genes associated with the disorder and highlighting shared genetic architecture with high-functioning autism.

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

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.

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.

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

This study investigates whether social and non-social autism symptom domains are genetically distinct by analyzing genetic correlations between systemizing and autism traits.

This study uses Mendelian Randomization to investigate the causal relationship between body fat, non-fat mass, height, and depression, finding that fat mass and short stature increase depression risk while non-fat mass does not.