Incremental predictive value of 152 single nucleotide polymorphisms in the 10-year risk prediction of incident coronary heart disease: The Rotterdam Study

International Journal of Epidemiology

Volumn 44, Issue 2, 2015, Pages 682-688

  De Vries, Paul S ^a   Kavousi, Maryam ^a   Ligthart, Symen ^a   Uitterlinden, André G ^a   Hofman, Albert ^a   Franco, Oscar H ^a   Dehghan, Abbas ^a  

^a ERASMUS MEDICAL CENTER   (Netherlands)

Author keywords

Coronary heart disease; Genetic risk scores; Prediction; Prevention

Indexed keywords

ANTILIPEMIC AGENT; HIGH DENSITY LIPOPROTEIN CHOLESTEROL;

CARDIOVASCULAR DISEASE; DISEASE CONTROL; DISEASE PREVALENCE; HEALTH RISK; POLYMORPHISM; RISK ASSESSMENT; RISK FACTOR;

AGE DISTRIBUTION; AGED; ARTICLE; ASSESSMENT OF HUMANS; CARDIOVASCULAR RISK; CHOLESTEROL BLOOD LEVEL; COHORT ANALYSIS; DISEASE CLASSIFICATION; DRUG USE; FAMILY HISTORY; FEMALE; GENETIC ASSOCIATION; GENETIC RISK; GENETIC RISK SCORE; GENOTYPE; HEART INFARCTION; HUMAN; INCIDENCE; ISCHEMIC HEART DISEASE; MAJOR CLINICAL STUDY; MALE; PREDICTIVE VALUE; PREVALENCE; PRIORITY JOURNAL; PROSPECTIVE STUDY; RISK ASSESSMENT; SCORING SYSTEM; SEX DIFFERENCE; SINGLE NUCLEOTIDE POLYMORPHISM; SMOKING; SYSTOLIC BLOOD PRESSURE; CORONARY ARTERY DISEASE; EPIDEMIOLOGY; GENETIC PREDISPOSITION; GENETICS; GENOME-WIDE ASSOCIATION STUDY; MIDDLE AGED; MORTALITY; NETHERLANDS; RISK FACTOR;

NETHERLANDS; ROTTERDAM; SOUTH HOLLAND;

AGED; CORONARY ARTERY DISEASE; FEMALE; GENETIC PREDISPOSITION TO DISEASE; GENOME-WIDE ASSOCIATION STUDY; HUMANS; INCIDENCE; MALE; MIDDLE AGED; NETHERLANDS; POLYMORPHISM, SINGLE NUCLEOTIDE; PROSPECTIVE STUDIES; RISK FACTORS;

EID: 84936760155     PISSN: 03005771     EISSN: 14643685     Source Type: Journal    
DOI: 10.1093/ije/dyv070     Document Type: Article

References (29)

1. Zdravkovic S, Wienke A, Pedersen NL, de Faire U. Genetic influences on angina pectoris and its impact on coronary heart disease. Eur J Hum Genet 2007;15:872-77.
2. Zdravkovic S, Wienke A, Pedersen NL, Marenberg ME, Yashin AI, De Faire U. Heritability of death from coronary heart disease: a 36-year follow-up of 20 966 Swedish twins. J Intern Med 2002;252:247-54.
3. Brautbar A, Pompeii LA, Dehghan A et al. A genetic risk score based on direct associations with coronary heart disease improves coronary heart disease risk prediction in the Atherosclerosis Risk in Communities (ARIC), but not in the Rotterdam and Framingham Offspring, Studies. Atherosclerosis 2012;223:421-26.
4. Hughes MF, Saarela O, Stritzke J et al. Genetic markers enhance coronary risk prediction in men: the MORGAM prospective cohorts. PLoS One 2012;7:e40922.
5. 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;166:28-35.
6. Thanassoulis G, Peloso GM, Pencina MJ et al. A genetic risk score is associated with incident cardiovascular disease and coronary artery calcium: the Framingham Heart Study. Circ Cardiovasc Genet 2012;5:113-21.
7. Ganna A, Magnusson PK, Pedersen NL et al. Multilocus genetic risk scores for coronary heart disease prediction. Arterioscler Thromb Vasc Biol 2013;33:2267-72.
8. Davies RW, Dandona S, Stewart AF et al. Improved prediction of cardiovascular disease based on a panel of single nucleotide polymorphisms identified through genome-wide association studies. Circ Cardiovasc Genet 2010;3:468-74.
9. Lluis-Ganella C, Lucas G, Subirana I et al. Additive effect of multiple genetic variants on the risk of coronary artery disease. Rev Esp Cardiol 2010;63:925-33.
10. Lluis-Ganella C, Subirana I, Lucas G et al. Assessment of the value of a genetic risk score in improving the estimation of coronary risk. Atherosclerosis 2012;222:456-63.
11. Paynter NP, Chasman DI, Pare G et al. Association between a literature-based genetic risk score and cardiovascular events in women. JAMA 2010;303:631-37.
12. Ripatti S, Tikkanen E, Orho-Melander M et al. A multilocus genetic risk score for coronary heart disease: casecontrol and prospective cohort analyses. Lancet 2010;376: 1393-400.
13. Vaarhorst AA, Lu Y, Heijmans BTet al. Literature-based genetic risk scores for coronary heart disease: the Cardiovascular Registry Maastricht (CAREMA) prospective cohort study. Circ Cardiovasc Genet 2012;5:202-09.
14. CARDIo GRAM plus C4D Consortium; Deloukas P, Kanoni S, Willenborg C et al. Large-scale association analysis identifies new risk loci for coronary artery disease. Nat Genet 2013;45: 25-33.
15. Hofman A, Grobbee DE, de Jong PT, van den Ouweland FA. Determinants of disease and disability in the elderly: the Rotterdam Elderly Study. Eur J Epidemiol 1991;7:403-22.
16. Hofman A, Darwish Murad S, van Duijn CM et al. The Rotterdam Study: 2014 objectives and design update. Eur J Epidemiol 2013;28:889-926.
17. Erdmann J, Grosshennig A, Braund PS et al. New susceptibility locus for coronary artery disease on chromosome 3q22.3. Nat Genet 2009;41:280-82.
18. Waterworth DM, Ricketts SL, Song K et al. Genetic variants influencing circulating lipid levels and risk of coronary artery disease. Arterioscler Thromb Vasc Biol 2010;30:2264-76.
19. International Hap Map Consortium. The International Hap Map Project. Nature 2003;426:789-96.
20. Kundu S, Aulchenko YS, van Duijn CM, Janssens AC. Predict ABEL: an R package for the assessment of risk prediction models. Eur J Epidemiol 2011;26:261-64.
21. Leening MJ, Kavousi M, Heeringa J et al. Methods of data collection and definitions of cardiac outcomes in the Rotterdam Study. Eur J Epidemiol 2012;27:173-85.
22. Wilson PW, D'Agostino RB, Levy D, Belanger AM, Silbershatz H, Kannel WB. Prediction of coronary heart disease using risk factor categories. Circulation 1998;97:1837-47.
23. Pencina MJ, D'Agostino RB Sr, D'Agostino RB Jr, Vasan RS. Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond. Stat Med 2008;27:157-72; discussion 207-12.
24. Pencina MJ, D'Agostino RB Sr Steyerberg EW. Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers. Stat Med 2011;30:11-21.
25. Nagelkerke NJD. A note on a general definition of the coefficient of determination. Biometrika 1991;78:691-92.
26. Hill G, Connelly J, Hebert R, Lindsay J, Millar W. Neyman's bias re-visited. J Clin Epidemiol 2003;56:293-96.
27. Janssens AC, van Duijn CM. Genome-based prediction of common diseases: methodological considerations for future research. Genome Med 2009;1:20.
28. Chatterjee N, Wheeler B, Sampson J, Hartge P, Chanock SJ, Park JH. Projecting the performance of risk prediction based on polygenic analyses of genome-wide association studies. Nat Genet 2013;45:400-05.
29. Nasir K, BudoffMJ, Wong ND et al. Family history of premature coronary heart disease and coronary artery calcification: Multi-Ethnic Study of Atherosclerosis (MESA). Circulation 2007;116:619-26.