Ole A. Andreassen

The paper maps cerebellar anatomical variations across the lifespan and clinical illnesses, revealing heterogeneity in conditions like autism, schizophrenia, and Alzheimer's.

Finemap-MiXeR improves genetic finemapping accuracy by using a variational Bayesian approach, outperforming existing methods in synthetic and real data.

This study identifies two novel genomic loci associated with antidepressant non-response and suggests potential drugs for further validation.

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

This study identifies six novel genetic loci associated with Parkinson's disease mortality and motor progression using genome-wide survival analysis.

The paper examines genetic and phenotypic heterogeneity in early neurodevelopmental traits using data from the Norwegian Mother, Father, and Child Cohort Study, identifying 11 latent factors and trait-specific genetic correlations with autism, ADHD, and schizophrenia.

The paper estimates genetic, environmental, and subject-specific variance components in cortical morphometry using longitudinal data from the ABCD Study.

The paper investigates the impact of rare high-effect genetic variants on brain morphology and related behavioral traits in adolescents using the ABCD cohort.

This paper conducts a genome-wide association meta-analysis of age at onset of walking, identifying 11 loci and showing genetic correlations with ADHD, BMI, intelligence, and brain structure.

This paper extends hierarchical Bayesian regression to model non-Gaussian data with skewness and kurtosis, showing improved performance on neuroimaging datasets.

The paper investigates how rare genetic mutations affect brain asymmetry by analyzing CNVs in a cohort of individuals and linking genetic alterations to brain structure and function.

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.

MiXeR-Pred improves polygenic prediction by leveraging genetic overlap between complex phenotypes, outperforming primary GWAS and MTAG approaches.

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.

FEMA enables fast and efficient mixed-effects analyses of large-scale whole-brain imaging data, revealing distinct spatial patterns of brain maturation in early adolescence.

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.

This study identifies genetic links between early vocabulary development and ADHD and cognition traits using genome-wide analyses.

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 maps microstructural abnormalities along white matter tracts in bipolar disorder using multisite diffusion MRI tractometry and identifies significant differences in fractional anisotropy between BD patients and controls.

This study identifies 40 genetic loci associated with placental weight using GWAS in 179,025 children and parents, revealing shared and distinct genetic influences with fetal growth.

This study examines structural brain heterogeneity in schizophrenia using multimodal MRI data from the ENIGMA dataset, finding higher frontotemporal heterogeneity and left parahippocampal homogeneity in patients.

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 paper evaluates brain age predictions across repeated time points and finds small within-subject correlations, field strength influence, and model biases.

The paper identifies five genetic loci associated with postpartum hemorrhage through a meta-analysis and links them to progesterone receptor binding sites and related traits.

This study identifies 72 genetic loci associated with basal ganglia volumes and finds significant genetic overlaps with Parkinson's disease, schizophrenia, and migraine.

This study examines subcortical brain alterations in CNV carriers across multiple neuropsychiatric disorders, finding shared and distinct patterns of structural changes.

This study identifies somatic copy number variants (sCNVs) in schizophrenia cases, revealing their contribution to risk and specific NRXN1 disruptions.

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 uses computational modeling and post-mortem gene expression data to show that schizophrenia-associated genes impair PKA-mediated LTP in GluR1-containing synapses, linking genetic factors to synaptic plasticity deficits.