Matthias Wuttke

This study performs GWAS on the human urine proteome, identifying genetic associations with 20 proteins and linking them to disease risk and gene expression.

This study identifies SLC25A48 as a human mitochondrial choline transporter and shows that loss-of-function mutations lead to elevated choline levels in urine and plasma.

metaGWASmanager automates GWAS workflows for consortia, ensuring consistent phenotypes and quality control, improving efficiency and reliability of association results.

The paper identifies gene-metabolite associations using exome sequencing and metabolomics, revealing graded effects of rare variants on traits and diseases.

This study identifies 1,289 genetic signals for type 2 diabetes in 2.5 million individuals, revealing distinct clusters linked to vascular complications and highlighting ancestry-specific genetic risk factors.

The paper assesses if a polygenic score for reduced kidney function predicts adverse outcomes in chronic kidney disease patients, finding significant associations but no improvement in prediction over existing risk equations.

This study identifies 277 T2D loci using diverse populations and improves fine-mapping to assess causal genes and mechanisms, enhancing clinical translation.

This study identifies 424 new loci associated with kidney function using GWAS data from over 1.2 million individuals and prioritizes 34 genes for further functional investigation.

This study identifies 16 causal coding variants in type 2 diabetes using fine-mapping and shows that one third of signals are false leads.

This study fine-maps type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps, identifying 73 variants with >80% posterior probability of association.