Daniëlle Posthuma

This study identifies genes associated with structural and functional connectivity in resting-state networks and finds genetic overlap within functional domains.

This study investigates genetic overlaps between 12 psychiatric disorders, identifying pleiotropic SNPs and biological pathways, but finds challenges in interpreting shared mechanisms due to varying genetic architectures.

The paper evaluates statistical methods for assessing spatial and gene specificity in transcriptomic-neuroimaging associations, showing high rates of non-specific effects without proper null models.

This study identifies genetic variants associated with antisocial behavior through a genome-wide association meta-analysis, finding significant links to FOXP2 and correlations with multiple health and behavioral traits.

The paper uses a proxy Alzheimer's disease/dementia phenotype from UK Biobank exomes to identify rare variant-associated genes, finding three replicated genes linked to clinical Alzheimer's.

The paper reports exome sequencing findings in bipolar disorder, identifying AKAP11 as a shared risk gene with schizophrenia through ultra-rare protein-truncating variants.

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

LAVA analyzes local genetic correlations between multiple traits and demonstrates heterogeneous patterns across the genome that are masked by global analyses.

This study identifies seven novel genetic loci for Alzheimer's disease using a large GWAS and highlights microglia and immune pathways as key contributors to disease pathology.

The paper updates H-MAGMA to address statistical issues, showing reduced false positives and consistent results in psychiatric disorder GWAS.

This study uses gene expression imputation to identify candidate genes and tissue-specific associations linked to frontotemporal dementia risk loci.

This paper reports six novel genetic variants associated with Alzheimer's disease risk and demonstrates the utility of polygenic risk scores for risk stratification and age at onset prediction.

The paper links the rapid evolutionary expansion of cognitive brain networks to gene expression patterns and shows associations with cognitive traits and disorders.

This study conducts the largest genetic association analysis of psychotic experiences in the UK Biobank, identifying four genome-wide significant loci and showing shared genetic risk with schizophrenia, depression, bipolar disorder, and neurodevelopmental disorders.

This study analyzes 4,155 GWASs to explore pleiotropy and genetic architecture across 558 traits, finding that most loci are associated with multiple traits and causal variants are enriched in coding and regulatory regions.

This study evaluates multivariate association tests for genome-wide analysis, comparing their power and Type I error rates under various conditions.

The paper uses proteomic analysis of iPSC-derived neurons to identify early molecular changes in Rett syndrome, showing altered protein expression before symptoms appear.

This study identifies 202 genome-wide significant loci for insomnia using a large sample, linking them to specific brain cell types and pathways.

Cross-disorder meta-analysis of eight psychiatric GWAS (232,964 cases, 494,162 controls) reports 109 loci shared by two or more disorders and three groups of correlated disorders.

GWAS in over one million individuals identify 611 loci across risk tolerance and risky behaviors, revealing shared genetic architecture and implicating glutamatergic and GABAergic neurotransmission.

The paper analyzes rare coding variants in smoking and drinking behavior using exome chip data, finding that they contribute to phenotypic variation but require larger samples for individual variant associations.

The paper estimates genetic correlations between antisocial behavior and life history traits using GWAS data, finding positive and negative associations with reproductive output and delayed reproductive onset, respectively.

The paper identifies genetic variants associated with Alzheimer's disease and cardiovascular risk factors, showing lipid-related enrichment and pleiotropy beyond APOE.

This study conducts a large GWAS meta-analysis of neuroticism, identifying 136 novel genetic loci and 599 genes, with functional insights into brain regions and pathways.

The paper identifies brain cell types and genes associated with intelligence using GWAS and single-cell gene expression data from a large cohort.

This study identifies 9 novel genetic loci and 215 potential causative genes associated with Alzheimer's disease risk through a large genome-wide association analysis.

This study identifies 4 new risk loci for cannabis use through GWAS, finds genetic overlap with mental health, and shows a causal link between schizophrenia and cannabis use.

FUMA provides a web-based platform for functional annotation of GWAS results, gene prioritization, and interactive visualization using multiple biological databases.

This study investigates the association between CpG methylation and educational attainment, finding limited significant associations that may be influenced by confounding factors.