Genome-wide meta-analysis and omics integration identifies novel genes associated with diabetic kidney disease.
Sandholm N, Cole JB, Nair V et al.
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Abstract
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Aims/hypothesis: Diabetic kidney disease (DKD) is the leading cause of kidney failure and has a substantial genetic component. Our aim was to identify novel genetic factors and genes contributing to DKD by performing meta-analysis of previous genome-wide association studies (GWAS) on DKD and by integrating the results with renal transcriptomics datasets.
6,705 European ancestry cases, 15,430 European ancestry controls
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