Seyhan Yazar

The paper examines sex differences in the immune system at the single-cell level, identifying sex-biased genes and eQTLs linked to autoimmune diseases.

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 introduces GeNA, a tool to identify genetic variants influencing cell state abundance in single-cell data, finding five loci associated with immune cell state shifts.

The paper introduces MEOTIVE, a statistical framework to identify genetic effects on gene expression variability, revealing new mechanisms of genome regulation and associations with autoimmune disease risk.

The paper maps cell-type-specific eQTLs for HLA genes across multiple tissues and identifies dynamic regulation of HLA-DQ genes in immune cells.

This paper evaluates the use of PEER factors in single-cell eQTL analysis, showing that proper QC and transformation are needed to avoid spurious correlations and improve eQTL detection.

The paper uses blood eQTL meta-analysis to explore the polygenic architecture of complex traits, finding that trans-eQTLs are more informative for identifying causal genes than cis-eQTLs.

The paper identifies 46 genetic loci associated with retinal thickness using OCT images from UK Biobank, finding new links to foveal hypoplasia and visual acuity.

This paper identifies novel pleiotropic risk loci for melanoma and nevus density, implicating multiple biological pathways and gene expression under MITF regulation.