TY - JOUR AU - Woodward Mark AU - Hamet P. AU - Marre M. AU - Tremblay J. AU - Chalmers J. AU - Simon P. AU - Krajcoviechova A. AU - Harvey F. AU - Haloui M. AU - Marois-Blanchet F. AB -
OBJECTIVE: We have previously reported the genetic determinants of unmet renal needs in Type 2 Diabetic (T2D) patients of the ADVANCE study (Abstract 0105-PD, IDF - World Diabetes Congress, Vancouver, 2015). We report here the external validation of several of these loci. An improved knowledge of the genetics linked to worsening diabetic nephropathy will offer insights on how to better manage this complication of diabetes and hypertension in T2D patients. DESIGN AND METHOD: We investigated 3,500 T2D patients of Caucasian origin included in the ADVANCE trial who were all treated with current standard therapies. These patients were genotyped with Affymetrix Human Genome-Wide SNP arrays 5.0 or 6.0. Renal phenotypes were defined as increasing albuminuria (non-responders) or decreasing albuminuria (responders) and declining eGFR (non-responders) or increasing eGFR (responders) during the 5-year follow-up of ADVANCE. Genome wide association studies (GWAS) were performed using PLINK (v.1.9) for albuminuria and eGFR separately both in ADVANCE and in the Czech Post-MONICA cohort. Significant SNPs (p-value of 9x10) were then catalogued, and a literature search was conducted to validate genes associated with these SNPs. RESULTS: GWAS analyses showed associations with 47 genes for eGFR non-responders. Five of these, (ERC2, ZNF385D, TRAM1L1, SHANK2, and UMOD) were previously associated with GFR or kidney failure in the literature. In addition, eight of these (CACNA2D3, NOL10, ZNF385D, TENM2, CTB-7E3.1, CDH18, LMBR1 and LOC339166) are associated with GFR in Post-MONICA cohort. For albuminuria non-responders, GWAS analysis identified 57 genes. Two of these, (CERS6 and NRXN3) were previously reported in the literature as being associated with diabetic nephropathies and four of these (CERS6, STK39, DGKB and NRXN3) are associated with uric acid (which correlates with albuminuria) in Post-MONICA. CONCLUSIONS: Literature review and analysis of Post-MONICA data has enabled the validation of genes associated with renal non-response to standard therapy in the ADVANCE study.
AD - 1Department of Experimental medicine, McGill University, Canada 2Department of Genetics, CRCHUM, Canada 3Department of Medicine, The George Institute for Global Health, Australia 4Department of Epidemiology and Biostatistics, The George Institute for Global Health, Australia 5Unit of Genetic Determinants for Type 2 Diabetes and its vascular complications, French Institute of Health and Medical Research, France 6Center for Cardiovascular Prevention, Charles University Medical School I and Thomayer Hospital, Czech Republic. AN - 27642943 BT - Journal of Hypertension CN - [IF]: 4.720 DP - NLM ET - 2016/09/20 LA - eng LB - AUSOBJECTIVE: We have previously reported the genetic determinants of unmet renal needs in Type 2 Diabetic (T2D) patients of the ADVANCE study (Abstract 0105-PD, IDF - World Diabetes Congress, Vancouver, 2015). We report here the external validation of several of these loci. An improved knowledge of the genetics linked to worsening diabetic nephropathy will offer insights on how to better manage this complication of diabetes and hypertension in T2D patients. DESIGN AND METHOD: We investigated 3,500 T2D patients of Caucasian origin included in the ADVANCE trial who were all treated with current standard therapies. These patients were genotyped with Affymetrix Human Genome-Wide SNP arrays 5.0 or 6.0. Renal phenotypes were defined as increasing albuminuria (non-responders) or decreasing albuminuria (responders) and declining eGFR (non-responders) or increasing eGFR (responders) during the 5-year follow-up of ADVANCE. Genome wide association studies (GWAS) were performed using PLINK (v.1.9) for albuminuria and eGFR separately both in ADVANCE and in the Czech Post-MONICA cohort. Significant SNPs (p-value of 9x10) were then catalogued, and a literature search was conducted to validate genes associated with these SNPs. RESULTS: GWAS analyses showed associations with 47 genes for eGFR non-responders. Five of these, (ERC2, ZNF385D, TRAM1L1, SHANK2, and UMOD) were previously associated with GFR or kidney failure in the literature. In addition, eight of these (CACNA2D3, NOL10, ZNF385D, TENM2, CTB-7E3.1, CDH18, LMBR1 and LOC339166) are associated with GFR in Post-MONICA cohort. For albuminuria non-responders, GWAS analysis identified 57 genes. Two of these, (CERS6 and NRXN3) were previously reported in the literature as being associated with diabetic nephropathies and four of these (CERS6, STK39, DGKB and NRXN3) are associated with uric acid (which correlates with albuminuria) in Post-MONICA. CONCLUSIONS: Literature review and analysis of Post-MONICA data has enabled the validation of genes associated with renal non-response to standard therapy in the ADVANCE study.
PY - 2016 SN - 1473-5598 (Electronic)