Janita Bralten

This paper investigates the shared genetic architecture of psychiatric and insulin resistance conditions using multivariate GWAS and identifies potential biological mechanisms and drug candidates.

This study identifies shared genetic factors between psychiatric and insulin-related traits using genomic structural equation modeling and multivariate genome-wide association analyses.

This study examines genetic liability for psychiatric disorders using disorder-specific and transdiagnostic frameworks, finding that depression PRS is associated with multiple disorders and uncovering four functional domains aligning with RDoC.

The paper investigates genetic overlaps between neuropsychiatric disorders and insulin-related diseases, finding significant genetic correlations and suggesting potential clusters of disorders with divergent pleiotropic effects.

This study uses a multivariate method to identify shared genetic factors influencing resting-state brain networks and finds nine replicated SNPs associated with their joint architecture.

The paper investigates genetic overlap between psychopathology, cognition, and brain function using genetic correlation analyses of summary statistics from genome-wide association studies.

This study analyzes structural brain asymmetries in ADHD using 39 datasets, finding small effects that do not meet study-wide significance thresholds.

This study identifies a genome-wide significant variant for OC traits and shows shared genetic risk between OC traits and OCD.

This study uses machine learning to show that structural brain anomalies in ADHD are similar in children and adults, supporting continuity of the disorder's pathophysiology.

The paper examines sex-differentiated genetic effects across neuropsychiatric and behavioral traits using GWAS summary statistics and finds small, polygenic sex differences with enriched neuron-related genes.

This study identifies genetic variants influencing human cortical surface area by integrating evolutionary annotations with neuroimaging genetic data, revealing recent polygenic selection on brain regions involved in language and vision.

The paper identifies shared genetic risk factors between OCD, population-based OCS, and insulin signaling traits, suggesting a common etiological mechanism.

This study identifies genetic variants linked to longitudinal brain structure changes across the lifespan using MRI data from 15,640 individuals.

The paper identifies genetic loci associated with human cortical structure and finds genetic correlations with neuropsychiatric disorders.

The paper investigates genetic and brain activation overlaps among cognitive traits, finding shared biological features between fluid intelligence and executive functioning.

The paper investigates how genetic variation in DRD4 interacts with seasonal daylight changes to influence inattention, finding support for the Spring-focus hypothesis and seasonal patterns in ADHD-related symptoms.

This study identifies genetic variants associated with sociability as a continuous trait and finds genetic correlations with schizophrenia, major depressive disorder, and autism spectrum disorders.

This study investigates whether social and non-social autism symptom domains are genetically distinct by analyzing genetic correlations between systemizing and autism traits.

The paper identifies 161 genome-wide significant genetic associations for cortical structure traits across 34 brain regions, highlighting key biological pathways and gene functions.

This study compares structural brain differences across ADHD, ASD, and OCD using MRI data from multiple cohorts, finding disorder-specific alterations in brain volume and cortical thickness.

The paper identifies genetic associations with cortical surface area using PCA and GWAS, linking DAAM1 to visual cortex development through mitochondrial pathways and thalamocortical input.

The paper identifies genetic correlations between ADHD and brain volumes, finding negative associations with intracranial volume and specific brain regions.

This study identifies 15 genome-wide significant loci associated with hippocampal subfield volumes in 21,297 individuals, revealing distinct genetic determinants for different subfields.

The paper identifies 25 genetic loci associated with subcortical brain structure volumes in over 40,000 individuals, revealing novel biology and potential drug targets.

The paper evaluates 15 candidate SNPs associated with psychiatric disorders using 6,165 diffusion MRI scans, finding no significant associations after correction for multiple testing.