Advanced instrumentation and rapid computation are generating ever more data on human genetics, epigenetics, transcriptomics, proteomics and metabolomics, posing challenges of integration and interpretation. New research has applied rigorous statistical analyses to genetic variations identified in patients with kidney disease to find drivers of (patho)physiological differences in urine and plasma metabolomes.
- Seth L. Alper
- David J. Friedman