Martijn Vochteloo

The paper performs a federated cis-eQTL meta-analysis across single-cell datasets to identify cell-type-specific genetic effects and link them to disease mechanisms.

The paper maps cis- and trans-eQTLs in blood samples to infer gene regulatory networks and prioritize trait-relevant pathways.

The paper identifies highly cell-type-specific eQTLs using snRNA-seq data from brain and blood, showing that bulk analyses overestimate eQTL agreement.

This study identifies gene expression patterns and eQTLs in duodenal epithelial lining of coeliac disease patients that reflect inflammation status and disease condition.

The paper identifies co-eQTLs that alter gene co-expression relationships in specific cell types, linking these variants to immune disease associations.

The paper integrates brain RNA-seq and genotype data to identify eQTLs and their downstream effects on brain-related diseases.

This paper introduces PICALO, a method to identify unknown contexts influencing eQTLs, finding 31 and 21 PICs in blood and brain datasets, respectively, associated with cell type, RNA quality, and environmental factors.

The paper uses single-cell RNA-sequencing to show that gene expression in immune cells is influenced by genetic variation and pathogen exposure, revealing context-specific regulatory mechanisms.