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Volumn 172, Issue 3, 2010, Pages 353-361

Improvement of risk prediction by genomic profiling: Reclassification measures versus the area under the receiver operating characteristic curve

Author keywords

diabetes mellitus, type 2; genetic predisposition to disease; models, statistical; polymorphism, single nucleotide; risk assessment; risk factors

Indexed keywords

AGE STRUCTURE; BODY MASS; DATA SET; DIABETES; EMPIRICAL ANALYSIS; GENOMICS; NUMERICAL MODEL; POLYMORPHISM; RISK FACTOR; SEX RATIO;

EID: 77955162111     PISSN: 00029262     EISSN: 14766256     Source Type: Journal    
DOI: 10.1093/aje/kwq122     Document Type: Article
Times cited : (56)

References (25)
  • 1
    • 58149333712 scopus 로고    scopus 로고
    • Predicting type 2 diabetes based on polymorphisms from genome-wide association studies: A population-based study
    • van Hoek M, Dehghan A, Witteman JC, et al. Predicting type 2 diabetes based on polymorphisms from genome-wide association studies: a population-based study. Diabetes. 2008; 57(11):3122-3128.
    • (2008) Diabetes , vol.57 , Issue.11 , pp. 3122-3128
    • Van Hoek, M.1    Dehghan, A.2    Witteman, J.C.3
  • 2
    • 55649105963 scopus 로고    scopus 로고
    • Clinical risk factors, DNA variants, and the development of type 2 diabetes
    • Lyssenko V, Jonsson A, Almgren P, et al. Clinical risk factors, DNA variants, and the development of type 2 diabetes. N Engl J Med. 2008;359(21):2220-2232.
    • (2008) N Engl J Med , vol.359 , Issue.21 , pp. 2220-2232
    • Lyssenko, V.1    Jonsson, A.2    Almgren, P.3
  • 3
    • 38449118682 scopus 로고    scopus 로고
    • Impact of common type 2 diabetes risk polymorphisms in the DESIR prospective study
    • Vaxillaire M, Veslot J, Dina C, et al. Impact of common type 2 diabetes risk polymorphisms in the DESIR prospective study. Diabetes. 2008;57(1):244-254.
    • (2008) Diabetes , vol.57 , Issue.1 , pp. 244-254
    • Vaxillaire, M.1    Veslot, J.2    Dina, C.3
  • 4
    • 34547555885 scopus 로고    scopus 로고
    • Prediction of coronary heart disease risk using a genetic risk score: The Atherosclerosis Risk in Communities Study
    • Morrison AC, Bare LA, Chambless LE, et al. Prediction of coronary heart disease risk using a genetic risk score: the Atherosclerosis Risk in Communities Study. Am J Epidemiol. 2007;166(1):28-35.
    • (2007) Am J Epidemiol , vol.166 , Issue.1 , pp. 28-35
    • Morrison, A.C.1    Bare, L.A.2    Chambless, L.E.3
  • 5
    • 0020083498 scopus 로고
    • The meaning and use of the area under a receiver operating characteristic (ROC) curve
    • Hanley JA, McNeil BJ. The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology. 1982;143(1):29-36.
    • (1982) Radiology , vol.143 , Issue.1 , pp. 29-36
    • Hanley, J.A.1    McNeil, B.J.2
  • 6
    • 33847109797 scopus 로고    scopus 로고
    • Use and misuse of the receiver operating characteristic curve in risk prediction
    • Cook NR. Use and misuse of the receiver operating characteristic curve in risk prediction. Circulation. 2007;115(7): 928-935.
    • (2007) Circulation , vol.115 , Issue.7 , pp. 928-935
    • Cook, N.R.1
  • 7
    • 38849184152 scopus 로고    scopus 로고
    • Integrating the predictive-ness of a marker with its performance as a classifier
    • Pepe MS, Feng Z, Huang Y, et al. Integrating the predictive-ness of a marker with its performance as a classifier. Am J Epidemiol. 2008;167(3):362-368.
    • (2008) Am J Epidemiol , vol.167 , Issue.3 , pp. 362-368
    • Pepe, M.S.1    Feng, Z.2    Huang, Y.3
  • 8
    • 56549122629 scopus 로고    scopus 로고
    • Assessing the value of risk predictions by using risk stratification tables
    • Janes H, Pepe MS, Gu W. Assessing the value of risk predictions by using risk stratification tables. Ann Intern Med. 2008;149(10):751-760.
    • (2008) Ann Intern Med , vol.149 , Issue.10 , pp. 751-760
    • Janes, H.1    Pepe, M.S.2    Gu, W.3
  • 9
    • 43549117072 scopus 로고    scopus 로고
    • Use of multiple biomarkers to improve the prediction of death from cardiovascular causes
    • Zethelius B, Berglund L, Sundström J, et al. Use of multiple biomarkers to improve the prediction of death from cardiovascular causes. N Engl J Med. 2008;358(20):2107-2116.
    • (2008) N Engl J Med , vol.358 , Issue.20 , pp. 2107-2116
    • Zethelius, B.1    Berglund, L.2    Sundström, J.3
  • 10
    • 60649118584 scopus 로고    scopus 로고
    • Development of a risk score for atrial fibrillation (Framingham Heart Study): A community-based cohort study
    • Schnabel RB, Sullivan LM, Levy D, et al. Development of a risk score for atrial fibrillation (Framingham Heart Study): a community-based cohort study. Lancet. 2009;373(9665): 739-745.
    • (2009) Lancet , vol.373 , Issue.9665 , pp. 739-745
    • Schnabel, R.B.1    Sullivan, L.M.2    Levy, D.3
  • 11
    • 45149116998 scopus 로고    scopus 로고
    • Evaluation of the Framingham risk score in the European Prospective Investigation of Cancer-Norfolk cohort: Does adding glycated hemoglobin improve the prediction of coronary heart disease events?
    • Simmons RK, Sharp S, Boekholdt SM, et al. Evaluation of the Framingham risk score in the European Prospective Investigation of Cancer-Norfolk cohort: does adding glycated hemoglobin improve the prediction of coronary heart disease events? Arch Intern Med. 2008;168(11):1209-1216.
    • (2008) Arch Intern Med , vol.168 , Issue.11 , pp. 1209-1216
    • Simmons, R.K.1    Sharp, S.2    Boekholdt, S.M.3
  • 12
    • 58749087343 scopus 로고    scopus 로고
    • Cardiovascular disease risk prediction with and without knowledge of genetic variation at chromosome 9p21.3
    • Paynter NP, Chasman DI, Buring JE, et al. Cardiovascular disease risk prediction with and without knowledge of genetic variation at chromosome 9p21.3. Ann Intern Med. 2009; 150(2):65-72.
    • (2009) Ann Intern Med , vol.150 , Issue.2 , pp. 65-72
    • Paynter, N.P.1    Chasman, D.I.2    Buring, J.E.3
  • 13
    • 66649130580 scopus 로고    scopus 로고
    • Advances in measuring the effect of individual predictors of cardiovascular risk: The role of reclassi-fication measures
    • Cook NR, Ridker PM. Advances in measuring the effect of individual predictors of cardiovascular risk: the role of reclassi-fication measures. Ann Intern Med. 2009;150(11):795-802.
    • (2009) Ann Intern Med , vol.150 , Issue.11 , pp. 795-802
    • Cook, N.R.1    Ridker, P.M.2
  • 14
    • 38849091997 scopus 로고    scopus 로고
    • Evaluating the added predictive ability of a new marker: From area under the ROC curve to reclassification and beyond
    • discussion 207-212
    • Pencina MJ, D'Agostino RB Sr, D'Agostino RB Jr, et al. Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond. Stat Med. 2008;27(2):157-172; discussion 207-212.
    • (2008) Stat Med , vol.27 , Issue.2 , pp. 157-172
    • Pencina, M.J.1    D'Agostino Jr., R.B.2
  • 15
    • 40949149395 scopus 로고    scopus 로고
    • Polymorphisms associated with cholesterol and risk of cardiovascular events
    • Kathiresan S, Melander O, Anevski D, et al. Polymorphisms associated with cholesterol and risk of cardiovascular events. N Engl J Med. 2008;358(12):1240-1249.
    • (2008) N Engl J Med , vol.358 , Issue.12 , pp. 1240-1249
    • Kathiresan, S.1    Melander, O.2    Anevski, D.3
  • 16
    • 56749101779 scopus 로고    scopus 로고
    • Genotype score in addition to common risk factors for prediction of type 2 diabetes
    • Meigs JB, Shrader P, Sullivan LM, et al. Genotype score in addition to common risk factors for prediction of type 2 diabetes. N Engl J Med. 2008;359(21):2208-2219.
    • (2008) N Engl J Med , vol.359 , Issue.21 , pp. 2208-2219
    • Meigs, J.B.1    Shrader, P.2    Sullivan, L.M.3
  • 17
    • 36148941777 scopus 로고    scopus 로고
    • The Rotterdam Study: Objectives and design update
    • Hofman A, Breteler MM, van Duijn CM, et al. The Rotterdam Study: objectives and design update. Eur J Epidemiol. 2007; 22(11):819-829
    • (2007) Eur J Epidemiol , vol.22 , Issue.11 , pp. 819-829
    • Hofman, A.1    Breteler, M.M.2    Van Duijn, C.M.3
  • 18
    • 1842334456 scopus 로고    scopus 로고
    • Report of the Expert Committee on the Diagnosis and Classification of Diabetes Mellitus
    • Report of the Expert Committee on the Diagnosis and Classification of Diabetes Mellitus. Diabetes Care. 1997;20(7): 1183-1197.
    • (1997) Diabetes Care , vol.20 , Issue.7 , pp. 1183-1197
  • 19
    • 0031851293 scopus 로고    scopus 로고
    • Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: Diagnosis and classification of diabetes mellitus provisional report of a WHO consultation
    • Alberti KG, Zimmet PZ. Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: diagnosis and classification of diabetes mellitus provisional report of a WHO consultation. Diabet Med. 1998;15(7): 539-553.
    • (1998) Diabet Med , vol.15 , Issue.7 , pp. 539-553
    • Alberti, K.G.1    Zimmet, P.Z.2
  • 20
    • 33747881836 scopus 로고    scopus 로고
    • Predictive testing for complex diseases using multiple genes: Fact or fiction?
    • Janssens AC, Aulchenko YS, Elefante S, et al. Predictive testing for complex diseases using multiple genes: fact or fiction? Genet Med. 2006;8(7):395-400.
    • (2006) Genet Med , vol.8 , Issue.7 , pp. 395-400
    • Janssens, A.C.1    Aulchenko, Y.S.2    Elefante, S.3
  • 21
    • 77955133764 scopus 로고    scopus 로고
    • Leeds. United Kingdom: Analyse-it Software, Ltd; 2009 Accessed February 4 2010
    • Analyse-it software. Leeds. United Kingdom: Analyse-it Software, Ltd; 2009. (http://www.analyse-it.com/). (Accessed February 4 2010).
    • Analyse-it Software
  • 22
    • 0023710206 scopus 로고
    • Comparing the areas under two or more correlated receiver operating characteristic curves: A nonparametric approach
    • DeLong ER, DeLong DM, Clarke-Pearson DL. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics. 1988;44(3):837-845.
    • (1988) Biometrics , vol.44 , Issue.3 , pp. 837-845
    • Delong, E.R.1    Delong, D.M.2    Clarke-Pearson, D.L.3
  • 23
    • 0030305457 scopus 로고    scopus 로고
    • R: A language for data analysis and graphics
    • Ihaka GR, Gentelman R. R: a language for data analysis and graphics. J Comput Graph Stat. 1996;5(3):299-314.
    • (1996) J Comput Graph Stat , vol.5 , Issue.3 , pp. 299-314
    • Ihaka, G.R.1    Gentelman, R.2
  • 24
    • 33747878255 scopus 로고    scopus 로고
    • Nashville TN: Department of Biostatistics Vanderbilt University Accessed June 3 2009
    • Harrell FE. Design and Hmisc R function library. Nashville, TN: Department of Biostatistics, Vanderbilt University; 2006. (http://biostat.mc. vanderbilt.edu/twiki/bin/view/Main/RS). (Accessed June 3, 2009).
    • (2006) Design and Hmisc R Function Library
    • Harrell, F.E.1


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