Klaus J. Stark

The paper uses AI-derived retinal thickness phenotypes from 2D images to identify novel genetic loci for neurodegenerative diseases.

This study performs a multi-trait GWAS on kidney filtration function and albuminuria, identifying distinct genetic signals and shared mechanisms.

This study performs genome-wide association meta-analyses on optic nerve structure biomarkers, identifying novel loci and potential drug targets independent of intraocular pressure.

This study identifies 63 AMD risk loci across multiple ancestries, highlighting ancestry-dependent genetic heterogeneity and potential therapeutic targets.

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

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.

The paper applies machine learning to classify age-related macular degeneration in GWAS, showing how misclassification can be addressed to identify true genetic associations.

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.