Irene V. van Blokland

Federated single-cell QTL meta-analysis reveals novel disease mechanisms

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.

Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data

The paper identifies co-expression QTLs (co-eQTLs) using single-cell RNA-seq data, revealing how genetic variants affect gene co-expression patterns and regulatory networks in specific cell types.

Using symptom-based case predictions to identify host genetic factors that contribute to COVID-19 susceptibility

The paper uses symptom-based case predictions to conduct a GWAS on COVID-19, finding new genetic susceptibility insights and suggesting different genetic architectures for severity and susceptibility.