Sophie van der Sluis

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.

This study identifies shared genetic factors across eight cardiovascular diseases using large-scale genetic data, revealing clusters and pathways related to vascular biology and systemic risk factors.

This study identifies 142 genes associated with both schizophrenia and height, finding enrichment in immune response genes and partial genetic overlap with white blood cell count.

The paper uses GWEIS and in silico methods to study gene-environment interactions in alcohol misuse, identifying SES-modulated genes and highlighting challenges in detecting molecular GxE effects.

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.

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

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.

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

ISRIB ameliorates ISR deregulation and clinical signs in VWM mice.

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.