Merete Nordentoft

This study identifies 30 genome-wide significant loci for obsessive-compulsive disorder (OCD) using a large GWAS, linking risk to specific brain cell types and shared genetic risk with other psychiatric and non-psychiatric traits.

This study examines how rare copy number variants and polygenic scores jointly affect psychiatric disorder risk in a large population sample, finding no significant interaction between the two factors.

This study examines the genetic and phenotypic links between neonatal C3 and C4 protein concentrations and psychiatric and autoimmune disorders, finding no strong causal associations with mental disorders but evidence of lower autoimmune risk with higher C4 levels.

ADuLT is a time-to-event GWAS method that outperforms Cox regression in strongly ascertained studies, finding more genome-wide significant associations in psychiatric disorder analyses.

The paper estimates population-based risks of psychiatric disorders associated with 34 recurrent CNVs using a large case-cohort sample, finding moderate risks for ADHD, autism, and schizophrenia, but not depression.

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 identifies genetic loci associated with vitamin D-binding protein and 25 hydroxyvitamin D in neonates and links DBP to vitamin D status and disease risk.

The paper evaluates how haplotype estimation and whole genome imputation accuracy vary with data integration protocols and phasing methods in a large psychiatric biobank dataset.

This study examines brain morphometric deviations in individuals at clinical high-risk for psychosis and finds they largely overlap with healthy variation and are not strongly associated with symptom severity or conversion to psychosis.

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 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.

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

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.

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

This study identifies 99 genes associated with autism spectrum disorder through large-scale exome sequencing, showing differences in mutation frequencies between ASD and severe neurodevelopmental delay groups.