Case Study: Heidelberg University achieves faster PKD gene discovery with JMP Genomics

JMP Genomics aids study of PKD, which can lead to end-stage renal failure

Heidelberg University’s Medical Research Center in Mannheim, Germany, faced a bottleneck in validating genomic research on polycystic kidney disease (PKD), a condition that can lead to kidney failure. The team needed a faster, more robust way to analyze large microarray datasets and identify genetic factors affecting disease progression, and turned to JMP Genomics from JMP.

JMP implemented JMP Genomics to streamline data quality checks, statistical analysis, clustering, and pathway analysis. As a result, Heidelberg University researchers reduced validation time from several weeks to just a few hours, processed nearly 5 terabytes of data, and identified a gene modifier that slowed PKD progression in rats, opening new avenues for future therapies.

Heidelberg University

Norbert Gretz

Director