Tanika N Kelly1, Dominic Raj2, Mahboob Rahman3, Matthias Kretzler4, Radhakrishna R Kallem5, Ana C Ricardo6, Sylvia E Rosas7, Kaixiang Tao8, Dawei Xie8, Lotuce Lee Hamm9, Jiang He10. 1. School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA 70112, USA. 2. Medical Faculty Associates, George Washington University, Washington, DC 20037, USA. 3. University Hospitals Case Medical Center, Case Western Reserve University, Louis Stokes Cleveland VA Medical Center, Cleveland, OH 44106, USA. 4. University of Michigan, Ann Arbor, MI 48109, USA. 5. University of Pennsylvania, Translational Research Center, Philadelphia, PA 19104, USA. 6. University of Illinois at Chicago, Chicago, IL 60612, USA. 7. Joslin Diabetes Center, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA. 8. The Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA. 9. Tulane University School of Medicine, New Orleans, LA 70112, USA. 10. School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA 70112, USA Tulane University School of Medicine, New Orleans, LA 70112, USA.
Abstract
BACKGROUND: We conducted single-marker, gene- and pathway-based analyses to examine the association between renin-angiotensin-aldosterone system (RAAS) variants and chronic kidney disease (CKD) progression among Chronic Renal Insufficiency Cohort study participants. METHODS: A total of 1523 white and 1490 black subjects were genotyped for 490 single nucleotide polymorphisms (SNPs) in 12 RAAS genes as part of the ITMAT-Broad-CARe array. CKD progression phenotypes included decline in estimated glomerular filtration rate (eGFR) over time and the occurrence of a renal disease event, defined as incident end-stage renal disease or halving of eGFR from baseline. Mixed-effects models were used to examine SNP associations with eGFR decline, while Cox proportional hazards models tested SNP associations with renal events. Gene- and pathway-based analyses were conducted using the truncated product method. All analyses were stratified by race, and a Bonferroni correction was applied to adjust for multiple testing. RESULTS: Among white and black participants, eGFR declined an average of 1.2 and 2.3 mL/min/1.73 m(2)/year, respectively, while renal events occurred in a respective 11.5 and 24.9% of participants. We identified strong gene- and pathway-based associations with CKD progression. The AGT and RENBP genes were consistently associated with risk of renal events in separate analyses of white and black participants (both P < 1.00 × 10(-6)). Driven by the significant gene-based findings, the entire RAAS pathway was also associated with renal events in both groups (both P < 1.00 × 10(-6)). No single-marker associations with CKD progression were observed. CONCLUSIONS: The current study provides strong evidence for a role of the RAAS in CKD progression.
BACKGROUND: We conducted single-marker, gene- and pathway-based analyses to examine the association between renin-angiotensin-aldosterone system (RAAS) variants and chronic kidney disease (CKD) progression among Chronic Renal Insufficiency Cohort study participants. METHODS: A total of 1523 white and 1490 black subjects were genotyped for 490 single nucleotide polymorphisms (SNPs) in 12 RAAS genes as part of the ITMAT-Broad-CARe array. CKD progression phenotypes included decline in estimated glomerular filtration rate (eGFR) over time and the occurrence of a renal disease event, defined as incident end-stage renal disease or halving of eGFR from baseline. Mixed-effects models were used to examine SNP associations with eGFR decline, while Cox proportional hazards models tested SNP associations with renal events. Gene- and pathway-based analyses were conducted using the truncated product method. All analyses were stratified by race, and a Bonferroni correction was applied to adjust for multiple testing. RESULTS: Among white and black participants, eGFR declined an average of 1.2 and 2.3 mL/min/1.73 m(2)/year, respectively, while renal events occurred in a respective 11.5 and 24.9% of participants. We identified strong gene- and pathway-based associations with CKD progression. The AGT and RENBP genes were consistently associated with risk of renal events in separate analyses of white and black participants (both P < 1.00 × 10(-6)). Driven by the significant gene-based findings, the entire RAAS pathway was also associated with renal events in both groups (both P < 1.00 × 10(-6)). No single-marker associations with CKD progression were observed. CONCLUSIONS: The current study provides strong evidence for a role of the RAAS in CKD progression.
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