Identification of interactions between genetic risk scores and dietary patterns for personalized prevention of kidney dysfunction in a population-based cohort

Hill NR, Fatoba ST, Oke JL, Hirst JA, O’Callaghan CA, Lasserson DS, et al. Global prevalence of chronic kidney disease–a systematic review and meta-analysis. PloS one. 2016;11:e0158765.

Article  PubMed  PubMed Central  Google Scholar 

Webster AC, Nagler EV, Morton RL, Masson P. Chronic kidney disease. Lancet. 2017;389:1238–52.

Article  PubMed  Google Scholar 

Gansevoort RT, Correa-Rotter R, Hemmelgarn BR, Jafar TH, Heerspink HJL, Mann JF, et al. Chronic kidney disease and cardiovascular risk: epidemiology, mechanisms, and prevention. Lancet. 2013;382:339–52.

Article  PubMed  Google Scholar 

Levey AS, Coresh J. Chronic kidney disease. Lancet. 2012;379:165–80.

Article  PubMed  Google Scholar 

Consortium CKDP. Association of estimated glomerular filtration rate and albuminuria with all-cause and cardiovascular mortality in general population cohorts: a collaborative meta-analysis. Lancet. 2010;375:2073–81.

Article  Google Scholar 

Locatelli F, Pozzoni P. The importance of early detection of chronic kidney disease. Nephrol Dialysis Transpl. 2002;17:2–7.

Article  CAS  Google Scholar 

Mann JF, Gerstein HC, Pogue J, Bosch J, Yusuf S, Investigators H. Renal insufficiency as a predictor of cardiovascular outcomes and the impact of ramipril: the HOPE randomized trial. Ann Intern Med. 2001;134:629–36.

Article  CAS  PubMed  Google Scholar 

Barbour SJ, Er L, Djurdjev O, Karim M, Levin A. Differences in progression of CKD and mortality amongst Caucasian, Oriental Asian and South Asian CKD patients. Nephrol Dialysis Transplant. 2010;25:3663–72.

Article  Google Scholar 

Böger CA, Gorski M, Li M, Hoffmann MM, Huang C, Yang Q, et al. Association of eGFR-related loci identified by GWAS with incident CKD and ESRD. PLoS Genet. 2011;7:e1002292.

Article  PubMed  PubMed Central  Google Scholar 

Qiu C, Huang S, Park J, Park Y, Ko Y-A, Seasock MJ, et al. Renal compartment–specific genetic variation analyses identify new pathways in chronic kidney disease. Nat Med. 2018;24:1721–31.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Visscher PM, Brown MA, McCarthy MI, Yang J. Five years of GWAS discovery. Am J Hum Genet. 2012;90:7–24.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Köttgen A. Genome-wide association studies in nephrology research. Am J Kidney Dis. 2010;56:743–58.

Article  PubMed  Google Scholar 

Khera AV, Chaffin M, Aragam KG, Haas ME, Roselli C, Choi SH, et al. Genome-wide polygenic scores for common diseases identify individuals with risk equivalent to monogenic mutations. Nat Gen. 2018;50:1219-24.

Rebholz CM, Crews DC, Grams ME, Steffen LM, Levey AS, Miller ER III, et al. DASH (Dietary Approaches to Stop Hypertension) diet and risk of subsequent kidney disease. Am J Kidney Dis. 2016;68:853–61.

Article  PubMed  PubMed Central  Google Scholar 

Ko GJ, Obi Y, Tortoricci AR, Kalantar-Zadeh K. Dietary protein intake and chronic kidney disease. Curr Opin Clin Nutr Metab Care. 2017;20:77.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Uribarri J, editor Phosphorus homeostasis in normal health and in chronic kidney disease patients with special emphasis on dietary phosphorus intake. Semin Dialysis. 2007;20:295–301.

Krishnamurthy VMR, Wei G, Baird BC, Murtaugh M, Chonchol MB, Raphael KL, et al. High dietary fiber intake is associated with decreased inflammation and all-cause mortality in patients with chronic kidney disease. Kidney Int. 2012;81:300–6.

Article  CAS  PubMed  Google Scholar 

Khera AV, Chaffin M, Wade KH, Zahid S, Brancale J, Xia R, et al. Polygenic prediction of weight and obesity trajectories from birth to adulthood. Cell. 2019;177:587–96.e9.

Article  CAS  PubMed  PubMed Central  Google Scholar 

McCullough ML, Feskanich D, Stampfer MJ, Giovannucci EL, Rimm EB, Hu FB, et al. Diet quality and major chronic disease risk in men and women: moving toward improved dietary guidance. Am J Clin Nutr. 2002;76:1261–71.

Article  CAS  PubMed  Google Scholar 

Hu EA, Pan A, Malik V, Sun Q. White rice consumption and risk of type 2 diabetes: meta-analysis and systematic review. Bmj. 2012;344:e1454.

Yang Q, Zhang Z, Kuklina EV, Fang J, Ayala C, Hong Y, et al. Sodium intake and blood pressure among US children and adolescents. Pediatrics. 2012;130:611–9.

Article  PubMed  Google Scholar 

Moore JH, Williams SM. Traversing the conceptual divide between biological and statistical epistasis: systems biology and a more modern synthesis. Bioessays. 2005;27:637–46.

Article  CAS  PubMed  Google Scholar 

Cordell HJ. Detecting gene–gene interactions that underlie human diseases. Nat Rev Genet. 2009;10:392–404.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Levey AS, De Jong PE, Coresh J, Nahas ME, Astor BC, Matsushita K, et al. The definition, classification, and prognosis of chronic kidney disease: a KDIGO Controversies Conference report. Kidney Int. 2011;80:17–28.

Article  PubMed  Google Scholar 

Rule AD, Larson TS, Bergstralh EJ, Slezak JM, Jacobsen SJ, Cosio FG. Using serum creatinine to estimate glomerular filtration rate: accuracy in good health and in chronic kidney disease. Ann Intern Med. 2004;141:929–37.

Article  CAS  PubMed  Google Scholar 

Navise NH, Mokwatsi GG, Gafane-Matemane LF, Fabian J, Lammertyn L. Kidney dysfunction: prevalence and associated risk factors in a community-based study from the North West Province of South Africa. BMC Nephrol. 2023;24:23.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Levey AS, Stevens LA, Schmid CH, Zhang Y, Castro AF III, Feldman HI, et al. A new equation to estimate glomerular filtration rate. Ann Intern Med. 2009;150:604–12.

Article  PubMed  PubMed Central  Google Scholar 

Cho YS, Go MJ, Kim YJ, Heo JY, Oh JH, Ban H-J, et al. A large-scale genome-wide association study of Asian populations uncovers genetic factors influencing eight quantitative traits. Nat Genet. 2009;41:527–34.

Article  CAS  PubMed  Google Scholar 

Marchini J, Howie B, Myers S, McVean G, Donnelly P. A new multipoint method for genome-wide association studies by imputation of genotypes. Nat Genet. 2007;39:906–13.

Article  CAS  PubMed  Google Scholar 

Yang J, Lee SH, Goddard ME, Visscher PM. GCTA: a tool for genome-wide complex trait analysis. Am J Hum Genet. 2011;88:76–82.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Hormozdiari F, Kostem E, Kang EY, Pasaniuc B, Eskin E, editors. Identifying causal variants at loci with multiple signals of association. Proceedings of the 5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics. 2014:610-11.

Jetté M, Sidney K, Blümchen G. Metabolic equivalents (METS) in exercise testing, exercise prescription, and evaluation of functional capacity. Clin Cardiol. 1990;13:555–65.

Article  PubMed  Google Scholar 

Committee IR. Guidelines for data processing and analysis of the International Physical Activity Questionnaire (IPAQ)-short and long forms. http://www.ipaq.ki.se/scoring.pdf. 2005.

Ahn Y, Kwon E, Shim J, Park M, Joo Y, Kimm K, et al. Validation and reproducibility of food frequency questionnaire for Korean genome epidemiologic study. Eur J Clin Nutr. 2007;61:1435–41.

Article  CAS  PubMed  Google Scholar 

Choi YJ, Halbritter J, Braun DA, Schueler M, Schapiro D, Rim JH, et al. Mutations of ADAMTS9 cause nephronophthisis-related ciliopathy. Am J Hum Genet. 2019;104:45–54.

Article  CAS  PubMed  PubMed Central  Google Scholar 

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