Dennis van der Meer

This study investigates genetic overlaps between psychiatric disorders, cardiometabolic diseases, and brain structure to understand shared and distinct genetic pathways contributing to comorbidity.

This study examines the genetic architecture of brain volumes in males and females, finding similar patterns but sex-dependent gene-level variability in limbic regions.

FEMA-Long enables efficient modeling of time-dependent effects in longitudinal data, discovering genetic variants with time-dependent effects on infant growth traits.

The paper identifies sex differences in genetic and biological factors contributing to ischaemic heart disease-depression comorbidity, finding higher genetic correlation in females and distinct risk factors by sex.

The paper introduces DeepTaskGen, a deep learning method that generates synthetic task-based contrast maps from resting-state fMRI data, outperforming benchmarks and enabling biomarker development for cognitive tasks.

This study analyzes GWAS data from nearly 1 million cases to show widespread genetic overlap between neurological and psychiatric disorders, with shared biological processes and divergent effect sizes.

This study identifies distinct genetic overlaps between Alzheimer's and Parkinson's disease and metabolic markers, revealing disease-specific pathways involving lipid metabolism and synaptic processes.

The paper uses normative modeling to assess cerebellar morphology differences in 15q11.2 CNV carriers compared to non-carriers, finding modest and individualized effects.

The paper examines the associations of APOE ε2/ε4 dosage and lifestyle on neuroimaging markers in the UK Biobank, finding no significant interaction between lifestyle and APOE dosage.

This study shows brain age metrics from MRI do not reliably predict future brain changes but highlight modality-specific differences as potential cross-sectional markers.

The paper examines how white matter microstructure, assessed via diffusion MRI, correlates with age, BMI, blood pressure, and genetic factors across different life stages.

The paper identifies extensive phenotypic and genetic links between systemic metabolism and brain morphology using UK Biobank data.

This study identifies shared genetic loci between common epilepsies and general cognitive ability using LDSC, MiXeR, and conjFDR analyses.

This study identifies shared and distinct genetic factors between cognitive traits and schizophrenia using genomic structural equation modelling and GWAS data.

The paper introduces trivariate MiXeR to quantify genetic overlap between three complex phenotypes using GWAS summary statistics, demonstrating its ability to detect complex patterns of genetic overlap.

The paper evaluates age-related changes in brain asymmetry using MRI data from 48,040 UK Biobank participants and introduces hemispheric brain age as a marker of asymmetry.

This study identifies genetic overlap between functional brain connectivity and six psychiatric disorders using multivariate genome-wide association analysis in 30,701 UK Biobank individuals.

The paper investigates the genetic architecture of the corpus callosum and its overlap with psychiatric and substance use phenotypes using GWAS summary statistics and causal mixture models.

This study identifies 114 novel genomic loci for anxiety and finds extensive genetic overlap with schizophrenia, bipolar disorder, major depression, and ADHD.

The paper identifies genetic loci associated with corpus callosum subregion volumes and finds genetic correlations with psychiatric disorders and related traits.

This study identifies genetic loci associated with amygdala nuclei volumes using UK Biobank data, finding both unique and shared genetic architectures and immune-related pathways.

The paper analyzes white matter aging using diffusion MRI data from UK Biobank, finding that fornix microstructure is central to brain age prediction.

The paper investigates the genetic architecture of cortical expansion and regionalization by comparing genome-wide association studies of 24 cortical regions with and without adjustment for global measures, finding distinct genetic loci associated with different regions.

The paper identifies abundant genetic pleiotropy across neuroimaging modalities using a multivariate genome-wide association study in two cohorts.

The paper evaluates the replication of genome-wide association loci discovered using MOSTest across different cohorts and finds higher replication yields and rates compared to min-P.

The paper introduces Meta-MOSTest, an extension of MOSTest for meta-analysis of multivariate GWAS, showing it maintains statistical power and type I error control across multiple cohorts.

The paper identifies shared genetic variants between self-reported mental health and brain functional connectivity in the UK Biobank using multivariate statistical methods.

This paper compares five intracranial volume estimation methods and finds high correlations between them, with age-related reductions in ICV observed across all methods in longitudinal analyses.

The paper identifies 173 genetic loci associated with hippocampal formation volume and finds genetic overlap with eight brain disorders.

This study uses a multivariate genetic approach to analyze personality and cognitive traits, identifying pleiotropy and improving polygenic prediction.