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Tissue Transcriptome Driven Identification of Epidermal Growth Factor as a Chronic Kidney Disease Biomarker

GSE69438 Homo sapiens Expression profiling by array 42 samples Submitted 2015/12/14 Platform GPL11670
Summary
We identified EGF as the top candidates predicting kidney function through an intrarenal transcriptome-driven approach, and demonstrated it is an independent risk predictor of CKD progression and can significantly improve prediction of renal outcome by established clinical parameters in diverse populations with CKD from a wide spectrum of causes and stages
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Also filed as BioProject PRJNA285492. Searching any of these in the dataset finder brings you back here.

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