Marie Bækvad‐Hansen

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

This study investigates genetic variants in hydrocephalus patients and finds associations with ciliopathies and autism spectrum disorder using the iPSYCH cohort.

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

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.

Meta-analysis of 41,917 European-ancestry bipolar disorder cases versus 371,549 controls yields 64 risk loci (33 novel), neuronal and synaptic gene enrichment, and 15 eQTL-prioritized genes.

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

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.

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 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.

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

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.

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 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.