Christine Søholm Hansen

This paper introduces a method to detect rare DNA methylation outliers in schizophrenia and finds an increased burden of these outliers in cases compared to controls.

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

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 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 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.

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.

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 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.