Oleksandr Frei

The paper uses sequence-to-function models to show that long-range regulatory information in vertebrate genomes stops being shared before local sequence information, with a phylogenetic boundary around 320-435 Mya.

The paper identifies a mid-gestational molecular mechanism linking cortical size and ADHD through genetic and single-cell RNA sequencing analyses.

The paper quantifies the contribution of structural variants to complex trait heritability using MiXeRSV, finding SVs explain up to 32% of heritability in some traits.

The paper quantifies how heritability is distributed across genomic regions for different polygenicity levels in complex traits, showing exons contribute less and intergenic regions more in highly polygenic traits.

The paper identifies shared genetic variants between major psychiatric disorders and retinal traits, revealing molecular mechanisms linking retinal morphology to neurodevelopmental and neurotransmission processes.

The paper describes the MoBaPsychGen pipeline for quality controlling and imputing genotyping data from the MoBa cohort, identifying extensive family relationships across 207,569 individuals.

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

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

This paper uses genetic data from psychiatric disorders to prioritize drug targets and compounds, identifying genetic support for existing medications and opportunities for drug repurposing.

This paper improves polygenic prediction of height in an admixed Latino cohort by incorporating genetic ancestry, achieving a 0.1 increase in R² compared to using polygenic scores alone.

Bivariate GSA-MiXeR is a tool that models genetic correlations between two traits to identify genomic regions associated with psychiatric and neurodegenerative disorders using single-cell RNA sequencing data.

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 77 genetic loci associated with suicidality through genome-wide association analyses across multiple cohorts and provides biological insights into its genetic architecture.

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.

This study identifies genetic risk loci and factors underlying clinical subtypes of bipolar disorder using GWAS and meta-analysis.

This study maps the genetic continuum of autoimmune and autoinflammatory disorders using GWAS and statistical methods, identifying four genetic clusters with potential implications for treatment.

The paper identifies five genomic factors explaining most genetic variance across 14 psychiatric disorders and finds shared and disorder-specific genetic signals with distinct biological functions.

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.

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

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

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

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.

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.

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.

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 estimates brain age gap (BAG) using neural networks and identifies eight genomic regions associated with BAG, finding causal relationships with Alzheimer's and bipolar disorder but not Parkinson's, depression, or schizophrenia.