Uwe Völker

This paper introduces revTWMR, a method to determine causal relationships between gene expression and complex traits, finding that traits more strongly influence gene expression than vice versa.

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 novel genetic loci associated with blood pressure that interact with sleep duration across multiple ancestries.

The paper investigates genetic factors influencing a neurobiological substrate for psychiatric disorders and finds that a common genetic variant is associated with the substrate but not directly with disease risk.

This study identifies 15 genetic loci associated with muscle weakness in older adults through a large meta-analysis, revealing new pathways linked to aging and health outcomes.

The paper identifies 31 host genetic loci influencing gut microbiome composition through GWAS and suggests causal effects in inflammatory diseases.

This study performs a large GWAS on dilated cardiomyopathy, identifying two new loci and confirming two existing ones, with potential therapeutic implications.

This study identifies new genetic loci associated with myocardial infarction and coronary heart disease using genome-wide association analyses across multiple cohorts.

This study identifies 5,552 blood-cell trait-variant associations across 746,667 individuals from 5 global populations, including 71 novel loci and ancestry-specific variants not found in European ancestry populations.

This study identifies 5,106 new genetic variants associated with blood cell traits using large-scale GWAS, highlighting the polygenic and monogenic basis of hematopoiesis.

sPLINK enables federated GWAS on distributed datasets without data sharing, preserving privacy and accuracy while being robust to heterogeneity.

This study examines the genomic architecture of neuroanatomical diversity using SNP data and MRI, finding polygenic influences and environmental factors affecting brain asymmetry.

This study identifies 11 genetic loci associated with salivary metabolites in 1,419 individuals, revealing novel saliva-specific associations and potential clinical applications.

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.

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

This study identifies a genome-wide significant association between a variant in the KCND3 gene and early repolarization pattern on ECG, suggesting a genetic basis for this trait.

This study identifies coagulation and complement pathway proteins associated with left atrial remodeling in AF patients using proteomic analysis.

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 paper introduces SAPPHO methods to detect pleiotropy in GWAS by modeling shared patterns of genetic associations, finding 16 additional and 124 novel loci in meta-analysis.

This study identifies 47 novel genetic loci associated with PR interval through genome-wide association meta-analysis across multiple populations.