Markus R. Scholz

ConvexGating automatically learns unbiased, interpretable gating strategies for flow cytometry data, improving consistency and reducing contamination in cell population identification.

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.

This study identifies a genome-wide significant variant associated with sepsis-associated ARDS risk, linking cholesterol metabolism to ARDS susceptibility.

This paper identifies a novel genetic locus associated with olfactory dysfunction through a genome-wide association study meta-analysis and shows causal links to various health outcomes.

The paper predicts chemotherapy-induced thrombotoxicity using NARX neural networks and transfer learning, showing improved accuracy for patients with irregular platelet dynamics.

This study identifies 67 genetic loci associated with head size, finding strong overlaps with cancer pathways and genes, suggesting shared genetic mechanisms between head growth and cancer risk.

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

The paper examines how lifestyle factors affect DNA methylation in blood, identifying DMPs and DMRs linked to lifestyle categories and biological pathways.

This study investigates the genetic and environmental factors influencing head motion during MRI, finding no significant single variants and no mediation by physiological or psychological factors.

The paper identifies p21 as a key mediator of hyperglycemic memory in diabetic kidney disease and shows that aPC signaling can reverse its effects.

This study performs a genome-wide association meta-analysis of early AMD, identifying 11 loci, 9 novel, and highlighting shared and distinct genetic factors between early and advanced AMD.

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.

This study identifies genetic loci specific to periventricular and deep white matter hyperintensities, revealing distinct genetic architectures and potential biological mechanisms.

The paper identifies 161 genome-wide significant genetic associations for cortical structure traits across 34 brain regions, highlighting key biological pathways and gene functions.

The paper identifies genetic associations with cortical surface area using PCA and GWAS, linking DAAM1 to visual cortex development through mitochondrial pathways and thalamocortical input.

This study examines the relationship between food addiction, obesity, and brain structure in a population-based sample, finding no significant neuroanatomical correlates of food addiction but some associations with BMI and orbitofrontal cortex thickness.

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.

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.

This study identifies 99 genetic loci associated with general cognitive function using data from 280,360 individuals, finding genes linked to brain structure and neurodegenerative disorders.

The paper identifies 25 genetic loci associated with subcortical brain structure volumes in over 40,000 individuals, revealing novel biology and potential drug targets.