A new study introduces an innovative tool for exploring gene-disease connections: the PWAS Hub. This resource is based on the novel approach of the proteome-wide association study (PWAS), which complements traditional genetic analysis methods like the genome-wide association study (GWAS) by focusing on the effects of genetic variations on the biochemical function of all protein-coding genes. The research team was led by Professor Michal Linial from the Department of Biological Chemistry at the Hebrew University of Jerusalem, in collaboration with Guy Kelman from The Jerusalem Center for Personalized Computational Medicine, Roei Zucker from The Rachel and Selim Benin School of Computer Science and Engineering, and Nadav Brandes from the University of California (currently NYU, New York).
The study is published in the journal Genome Research . The PWAS Hub is designed to be accessible to clinicians, researchers, and the public, offering an interactive platform to explore gene-disease associations and analyze sex-specific genetic effects. With its focus on complex and prevalent conditions, the PWAS Hub aims to become a vital resource for those interested in the genetic foundations of disease, paving the way toward more personalized and precise medical treatments.
Personalized medicine represents a transformative approach to health care, focusing on tailoring medical treatment to the unique genetic makeup of each individual. Rather than a one-size-fits-all model, personalized med.
