Iris M. Heid

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

This study uses Mendelian randomization to identify risk factors for kidney function decline in CKD and the general population, finding causal effects of type-2 diabetes and high TSH.

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.

The paper develops an age-informative polygenic score for kidney function and shows it improves prediction of eGFR and decline compared to an age-agnostic score.

This study uses Mendelian randomization to assess how cardiometabolic drugs affect kidney function, finding specific drug targets influence eGFR and related biomarkers.

This study identifies 22 novel gene-sleep duration interaction loci for blood pressure traits across 811,405 individuals, highlighting distinct genetic influences of short and long sleep on cardiovascular health.

This study performs a GWAS and evaluates polygenic risk scores for AMD in Israeli populations, finding consistent associations with known loci and demonstrating predictive power of international PRS.

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 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.