Holger Kirsten

Trans-eQTLs reveal the architecture of human gene regulatory networks

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

Genome- and Transcriptome-wide association meta-analysis reveals new insights into genes affecting coronary and peripheral artery disease

This study identifies new gene loci and pathways associated with ankle-brachial index through genome- and transcriptome-wide association analyses, revealing shared genetic mechanisms with coronary artery disease and inflammation.

Neutrophil-chemoattractant CXCL5 induces lung barrier permeability in acute lung injury

This study identifies CXCL5 as a factor that increases alveolar-epithelial barrier permeability in acute lung injury, independent of neutrophil recruitment.

Trans-eQTL mapping prioritises USP18 as a negative regulator of interferon response at a lupus risk locus

The paper identifies USP18 as a negative regulator of interferon response at a lupus risk locus through trans-eQTL analysis in lymphoblastoid cell lines.

Genome-wide analysis of brain age identifies 25 associated loci and unveils relationships with mental and physical health

This study identifies 25 genetic loci associated with brain age gap and links them to mental and physical health traits using genome-wide data from UK Biobank.

OTTERS: A powerful TWAS framework leveraging summary-level reference data

OTTERS is a TWAS framework that uses summary-level eQTL reference data to estimate eQTL weights and perform omnibus TWAS, showing improved power and applicability.

Unraveling the polygenic architecture of complex traits using blood eQTL meta-analysis

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.

Mendelian Randomization integrating GWAS and eQTL data reveals genetic determinants of complex and clinical traits

This paper introduces TWMR, a Mendelian Randomization method that identifies gene-trait associations by integrating GWAS and eQTL data, revealing 3,913 novel associations across 43 human phenotypes.

Novel susceptibility loci and genetic regulation mechanisms for type 2 diabetes

This study identifies 139 common and 4 rare genetic variants associated with type 2 diabetes through GWAS and integrates gene expression and epigenomic data to highlight potential functional genes and regulatory mechanisms.

Identifying gene targets for brain-related traits using transcriptomic and methylomic data from blood

The paper identifies gene targets for brain-related traits using transcriptomic and methylomic data from blood, finding strong correlations between genetic effects in brain and blood tissues.