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.
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.
Levey AS, Coresh J. Chronic kidney disease. Lancet. 2012;379:165–80.
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.
Locatelli F, Pozzoni P. The importance of early detection of chronic kidney disease. Nephrol Dialysis Transpl. 2002;17:2–7.
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.
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.
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.
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.
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.
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.
留言 (0)