Rany M. Salem

GenVarLoader accelerates deep learning applications in personalized genomics by improving data loading speed and compression.

This study uses machine learning to assess how 3D genome structure affects height by analyzing GWAS data and predicting variant impacts on chromatin contacts.

This study identifies 565 genetic loci associated with sitting height ratio (SHR) in two populations, finding distinct genetic signals from height and highlighting ancestry-specific effects.

The paper identifies differentially methylated loci in individuals with end-stage kidney disease due to diabetic kidney disease, linking them to key pathways and genes.

This study fine-maps genetic variants associated with blood cell traits and identifies cell types and causal mechanisms using single-cell chromatin accessibility data from the UK Biobank.

This study identifies 16 genome-wide significant loci associated with diabetic kidney disease, including a protective variant in the COL4A3 gene.