Genetic and clinical variables identify predictors for chronic kidney disease in type 2 diabetes

Kidney International
Guozhi JiangRonald C W Ma

Abstract

Type 2 diabetes and chronic kidney disease (CKD) may share common risk factors. Here we used a 3-stage procedure to discover novel predictors of CKD by repeatedly applying a stepwise selection based on the Akaike information criterion to subsamples of a prospective complete-case cohort of 2755 patients. This cohort encompassed 25 clinical variables and 36 genetic variants associated with type 2 diabetes, obesity, or fasting plasma glucose. We compared the performance of the clinical, genetic, and clinico-genomic models and used net reclassification improvement to evaluate the impact of top selected genetic variants to the clinico-genomic model. Associations of selected genetic variants with CKD were validated in 2 independent cohorts followed by meta-analyses. Among the top 6 single-nucleotide polymorphisms selected from clinico-genomic data, three (rs478333 of G6PC2, rs7754840 and rs7756992 of CDKAL1) contributed toward the improvement of prediction performance. The variant rs478333 was associated with rapid decline (over 4% per year) in estimated glomerular filtration rate. In a meta-analysis of 2 replication cohorts, the variants rs478333 and rs7754840 showed significant associations with CKD after adjustment for conventiona...Continue Reading

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Citations

Jan 26, 2016·Kidney International·Keizo Kanasaki
May 28, 2016·British Journal of Nursing : BJN·Anne Phillips
Nov 25, 2016·Journal of the American Society of Nephrology : JASN·Ronald C W Ma, Mark E Cooper
Apr 1, 2021·FASEB Journal : Official Publication of the Federation of American Societies for Experimental Biology·Stephanie A EidFrank C Brosius

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