Anders Dupont Børglum

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.

This study identifies four novel genetic loci associated with multiple psychiatric disorders, implicating fetal neurodevelopment as a key mediator of shared genetic risk.

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.

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

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.

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

This study identifies a fetal genome-wide association signal near pro-inflammatory cytokine genes on 2q13 linked to gestational duration and preterm/postterm birth.

This study uses Mendelian randomization to investigate if neuroticism causally increases the risk of depression.

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 13 novel genetic loci associated with endometriosis through a large GWAS meta-analysis and finds genetic links to other pain-related conditions.

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

The paper investigates the impact of rare protein truncating variants on 13 quantitative traits and 10 diseases using whole-exome sequencing data from 100,296 individuals, finding increased risk for several disorders and associations with other phenotypes.

This study investigates the role of BRD1 in sex-biased nuclear receptor signaling and its implications in mental disorders using mouse models and gene expression analysis.

The paper associates elevated polygenic autism risk with differential DNA methylation at birth, using a large cohort of infants and integrating genetic and epigenetic data.

The paper investigates the genetic burden of rare protein-truncating variants in ASD and ADHD, finding similar patterns of enrichment.

The paper conducts a genome-wide association study of anxiety and stress-related disorders in the iPSYCH cohort, identifying PDE4B as consistently associated with ASRD and showing genetic overlap with other traits.

This study conducts the first genome-wide association study (GWAS) of self-reported empathy, identifying genetic correlations with autism, schizophrenia, anorexia nervosa, and extraversion.

This study investigates genetic mechanisms underlying sex bias in ADHD prevalence using genome-wide data and finds no mean polygenic burden difference across sexes but increased risk in female siblings and comorbid conditions.

The paper uses transcriptomic imputation to identify schizophrenia risk genes across multiple brain regions, finding 71 associated genes and 36 enriched pathways.

This study uses transcriptomic imputation to identify 29 novel genes associated with bipolar disorder and its subtypes, revealing biological pathways related to oxidative stress and circadian rhythms.

The paper updates the Psychiatric Genomics Consortium's progress and outlines future goals for translating genetic findings into clinical and therapeutic applications.

The paper introduces the iPSYCH2012 case-cohort sample, a large Danish population-based dataset for studying genetic and environmental factors in severe mental disorders.

The paper reanalyzes mtDNA SNPs associated with schizophrenia in Danish populations, finding significant bi-genomic linkage disequilibrium that may confound disease associations.

The paper analyzes the spatio-temporal distribution and genogeographic affinity of mitochondrial DNA haplogroups in 24,216 Danes, finding increased frequencies of certain haplogroups linked to immigration.

The paper uses polygenic transmission disequilibrium to show common and rare variants act additively in autism risk, with polygenic risk over-transmitted to ASD cases but not unaffected siblings.

The paper introduces a bioinformatic method to predict the functional impact of INDELs in transcription factor binding sites, showing that deletions have the most severe effects while insertions are mostly neutral.