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Association Between a Literature-Based Genetic Risk Score and Cardiovascular Events in Women
Open accessAbstract
CONTEXT: While multiple genetic markers associated with cardiovascular disease have been identified by genome-wide association studies, their aggregate effect on risk beyond traditional factors is uncertain, particularly among women. OBJECTIVE: To test the predictive ability of a literature-based genetic risk score for cardiovascular disease. DESIGN, SETTING, AND PARTICIPANTS: Prospective cohort of 19,313 initially healthy white women in the Women's Genome Health Study followed up over a median of 12.3 years (interquartile range, 11.6-12.8 years). Genetic risk scores were constructed from the National Human Genome Research Institute's catalog of genome-wide association study results published between 2005 and June 2009. MAIN OUTCOME MEASURE: Incident myocardial infarction, stroke, arterial revascularization, and cardiovascular death. RESULTS: A total of 101 single nucleotide polymorphisms reported to be associated with cardiovascular disease or at least 1 intermediate cardiovascular disease phenotype at a published P value of less than 10(-7) were identified and risk alleles were added to create a genetic risk score. During follow-up, 777 cardiovascular disease events occurred (199 myocardial infarctions, 203 strokes, 63 cardiovascular deaths, 312 revascularizations). After adjustment for age, the genetic risk score had a hazard ratio (HR) for cardiovascular disease of 1.02 per risk allele (95% confidence interval [CI], 1.00-1.03/risk allele; P = .006). This corresponds to an absolute cardiovascular disease risk of 3% over 10 years in the lowest tertile of genetic risk (73-99 risk alleles) and 3.7% in the highest tertile (106-125 risk alleles). However, after adjustment for traditional factors, the genetic risk score did not improve discrimination or reclassification (change in c index from Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults [ATP III] risk score, 0; net reclassification improvement, 0.5%; [P = .24]). The genetic risk score was not associated with cardiovascular disease risk (ATP III-adjusted HR/allele, 1.00; 95% CI, 0.99-1.01). In contrast, self-reported family history remained significantly associated with cardiovascular disease in multivariable models. CONCLUSION: After adjustment for traditional cardiovascular risk factors, a genetic risk score comprising 101 single nucleotide polymorphisms was not significantly associated with the incidence of total cardiovascular disease.
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“models to combine multiple markers into a cumulative risk score are often flawed and are usually no better than traditional risk factors such as family history, demographics and non-genetic clinical phenotypes.”
From Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology (2015) · cites this paper as [56]
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“Our finding that a polygenic risk score has robust associations with incident coronary events is well aligned with previous studies of both primary and secondary prevention populations.16–24”
From Genetic Risk, Adherence to a Healthy Lifestyle, and Coronary Disease (2016) · cites this paper as [18]
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“In some conditions the process of genetic counselling can be optimized and extended with cascade screening, which identifies patients at risk and enables timely treatment of affected relatives, as is the case for familial hypercholesterolaemia.72,75”
From European Guidelines on cardiovascular disease prevention in clinical practice (version 2012) (2012) · cites this paper as [72]
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“These risk alleles, when aggregated into a polygenic risk score, are predictive of incident coronary events and provide a continuous and quantitative measure of genetic susceptibility.16–24”
From Genetic Risk, Adherence to a Healthy Lifestyle, and Coronary Disease (2016) · cites this paper as [18]
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Citations
Cites
PLINK: a tool set for whole-genome association and population-based linkage analyses.
Purcell, S., Neale, B., Todd-Brown, K., Thomas, L., Ferreira, M. A. R., Bender, D., Maller, J., Sklar, P., de Bakker, P. I. W., Daly, M. J., et al. (2007) · The American Journal of Human Genetics · doi:10.1086/519795 · Cited by 34,089
Grundy, S. M., Bilheimer, D. W., Chait, A., Clark, L. T., Denke, M. A., Havel, R. J., Hazzard, W. R., Hulley, S. B., Hunninghake, D. B., Kreisberg, R. A., et al. (1993) · JAMA · doi:10.1001/jama.269.23.3015 · Cited by 27,944
Detection, evaluation, and treatment of high blood cholesterol in adults (Adult Treatment Panel III)
Grundy, S. M., Becker, D. M., Clark, L. T., Cooper, R., Denke, M. A., Howard, J. L., Hunninghake, D. B., Illingworth, D. R., Luepker, R. V., McBride, P. E., et al. (2002) · Civil War Book Review · Cited by 12,198
Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls
The Wellcome Trust Case Control Consortium, Management Committee, Burton, P. R., Clayton, D. G., Cardon, L. R., Craddock, N., Deloukas, P., Duncanson, A., Kwiatkowski, D. P., McCarthy, M. I., et al. (2007) · Nature · doi:10.1038/nature05911 · Cited by 9,442
Pencina, M. J., D' Agostino, R. B., D' Agostino, R. B., & Vasan, R. S. (2008) · Statistics in Medicine · doi:10.1002/sim.2929 · Cited by 6,493
A second generation human haplotype map of over 3.1 million SNPs
The International HapMap Consortium (2007) · Nature · doi:10.1038/nature06258 · Cited by 4,438
A genome-wide association study identifies novel risk loci for type 2 diabetes
Sladek, R., Rocheleau, G., Rung, J., Dina, C., Shen, L., Serre, D., Boutin, P., Vincent, D., Belisle, A., Hadjadj, S., et al. (2007) · Nature · doi:10.1038/nature05616 · Cited by 2,993
Genome-wide association studies for complex traits: consensus, uncertainty and challenges
McCarthy, M. I., Abecasis, G. R., Cardon, L. R., Goldstein, D. B., Little, J., Ioannidis, J. P. A., & Hirschhorn, J. N. (2008) · Nature Reviews Genetics · doi:10.1038/nrg2344 · Cited by 2,891
Genome-wide association analysis identifies loci for type 2 diabetes and triglyceride levels
Saxena, R., Voight, B. F., Lyssenko, V., Burtt, N. P., de Bakker, P. I. W., Chen, H., Roix, J. J., Kathiresan, S., Hirschhorn, J. N., Daly, M. J., et al. (2007) · Science · doi:10.1126/science.1142358 · Cited by 2,843
A genome-wide association study of type 2 diabetes in Finns detects multiple susceptibility variants
Scott, L. J., Mohlke, K. L., Bonnycastle, L. L., Willer, C. J., Li, Y., Duren, W. L., Erdos, M. R., Stringham, H. M., Chines, P. S., Jackson, A. U., et al. (2007) · Science · doi:10.1126/science.1142382 · Cited by 2,753
Replication of Genome-Wide Association Signals in UK Samples Reveals Risk Loci for Type 2 Diabetes
Zeggini, E., Weedon, M. N., Lindgren, C. M., Frayling, T. M., Elliott, K. S., Lango, H., Timpson, N. J., Perry, J. R. B., Rayner, N. W., Freathy, R. M., et al. (2007) · Science · doi:10.1126/science.1142364 · Cited by 2,194
Genomewide Association Analysis of Coronary Artery Disease
Samani, N. J., Erdmann, J., Hall, A. S., Hengstenberg, C., Mangino, M., Mayer, B., Dixon, R. J., Meitinger, T., Braund, P., Wichmann, H.-E., et al. (2007) · New England Journal of Medicine · doi:10.1056/nejmoa072366 · Cited by 2,044
A REVIEW OF GOODNESS OF FIT STATISTICS FOR USE IN THE DEVELOPMENT OF LOGISTIC REGRESSION MODELS1
LEMESHOW, S., & HOSMER, D. W. (1982) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a113284 · Cited by 1,947
Wellcome Trust Case Control Consortium, Zeggini, E., Scott, L. J., Saxena, R., Voight, B. F., Marchini, J. L., Hu, T., de Bakker, P. I., Abecasis, G. R., Almgren, P., et al. (2008) · Nature Genetics · doi:10.1038/ng.120 · Cited by 1,864
Ridker, P. M., Buring, J. E., Rifai, N., & Cook, N. R. (2007) · JAMA · doi:10.1001/jama.297.6.611 · Cited by 1,814
Newly identified loci that influence lipid concentrations and risk of coronary artery disease
Willer, C. J., Sanna, S., Jackson, A. U., Scuteri, A., Bonnycastle, L. L., Clarke, R., Heath, S. C., Timpson, N. J., Najjar, S. S., Stringham, H. M., et al. (2008) · Nature Genetics · doi:10.1038/ng.76 · Cited by 1,585
Kathiresan, S., Melander, O., Guiducci, C., Surti, A., Burtt, N. P., Rieder, M. J., Cooper, G. M., Roos, C., Voight, B. F., Havulinna, A. S., et al. (2008) · Nature Genetics · doi:10.1038/ng.75 · Cited by 1,386
Common variants at 30 loci contribute to polygenic dyslipidemia
Kathiresan, S., Willer, C. J., Peloso, G. M., Demissie, S., Musunuru, K., Schadt, E. E., Kaplan, L., Bennett, D., Li, Y., Tanaka, T., et al. (2009) · Nature Genetics · doi:10.1038/ng.291 · Cited by 1,364
Genome-wide association study of blood pressure and hypertension
Levy, D., Ehret, G. B., Rice, K., Verwoert, G. C., Launer, L. J., Dehghan, A., Glazer, N. L., Morrison, A. C., Johnson, A. D., Aspelund, T., et al. (2009) · Nature Genetics · doi:10.1038/ng.384 · Cited by 1,364
Greenland, P. (2007) · Statistics in Medicine · doi:10.1002/sim.2976 · Cited by 1,300
Genome-wide association study identifies eight loci associated with blood pressure
Wellcome Trust Case Control Consortium, Newton-Cheh, C., Johnson, T., Gateva, V., Tobin, M. D., Bochud, M., Coin, L., Najjar, S. S., Zhao, J. H., Heath, S. C., et al. (2009) · Nature Genetics · doi:10.1038/ng.361 · Cited by 1,215
Myocardial Infarction Genetics Consortium (2009) · Nature Genetics · doi:10.1038/ng.327 · Cited by 1,088
A variant in CDKAL1 influences insulin response and risk of type 2 diabetes
Steinthorsdottir, V., Thorleifsson, G., Reynisdottir, I., Benediktsson, R., Jonsdottir, T., Walters, G. B., Styrkarsdottir, U., Gretarsdottir, S., Emilsson, V., Ghosh, S., et al. (2007) · Nature Genetics · doi:10.1038/ng2043 · Cited by 1,072
Cho, Y. S., Go, M. J., Kim, Y. J., Heo, J. Y., Oh, J. H., Ban, H., Yoon, D., Lee, M. H., Kim, D. J., Park, M., et al. (2009) · Nature Genetics · doi:10.1038/ng.357 · Cited by 1,017
Loci influencing lipid levels and coronary heart disease risk in 16 European population cohorts
Aulchenko, Y. S., Janssens, A. C. J. W., Albert Hofman, D., Isaacs, A. J., Sijbrands, E. J. G., Witteman, J. C. M., van Duijn, C. M., Ripatti, S., Lindqvist, I., Perola, M., et al. (2008) · Nature Genetics · doi:10.1038/ng.269 · Cited by 860
Genetic disease detection and DNA amplification using cloned thermostable ligase.
Barany, F. (1991) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.88.1.189 · Cited by 792
Variants in MTNR1B influence fasting glucose levels
Prokopenko, I., Langenberg, C., Florez, J. C., Saxena, R., Soranzo, N., Þorleifsson, G., Loos, R. J. F., Manning, A. K., Jackson, A., Aulchenko, Y. S., et al. (2008) · Nature Genetics · doi:10.1038/ng.290 · Cited by 743
Genome-wide association analysis of metabolic traits in a birth cohort from a founder population
Sabatti, C., Service, S. K., Hartikainen, A., Pouta, A. M., Ripatti, S., Brodsky, J. F., Jones, C. G., Zaitlen, N., Varilo, T., Kaakinen, M., et al. (2008) · Nature Genetics · doi:10.1038/ng.271 · Cited by 732
Unoki, H., Takahashi, A., Kawaguchi, T., Hara, K., Horikoshi, M., Andersen, G., Ng, D. P. K., Holmkvist, J., Borch-Johnsen, K., Jørgensen, T., et al. (2008) · Nature Genetics · doi:10.1038/ng.208 · Cited by 725
Polymorphisms Associated with Cholesterol and Risk of Cardiovascular Events
Kathiresan, S., Melander, O., Anevski, D., Guiducci, C., Burtt, N. P., Roos, C., Hirschhorn, J. N., Berglund, G., Hedblad, B., Groop, L., et al. (2008) · New England Journal of Medicine · doi:10.1056/nejmoa0706728 · Cited by 696
Pollin, T. I., Damcott, C. M., Shen, H., Ott, S. H., Shelton, J., Horenstein, R. B., Post, W., McLenithan, J. C., Bielak, L. F., Peyser, P. A., et al. (2008) · Science · doi:10.1126/science.1161524 · Cited by 688
Dunbar, S. A. (2005) · Clinica Chimica Acta · doi:10.1016/j.cccn.2005.06.023 · Cited by 610
New susceptibility locus for coronary artery disease on chromosome 3q22.3
Italian Atherosclerosis, T., Erdmann, J., Myocardial Infarction Genetics Consortium, Wellcome Trust Case Control Consortium, Cardiogenics Consortium, Großhennig, A., Braund, P. S., König, I. R., Hengstenberg, C., Hall, A. S., et al. (2009) · Nature Genetics · doi:10.1038/ng.307 · Cited by 484
Genomewide Association Studies of Stroke
Ikram, M. A., Seshadri, S., Bis, J. C., Fornage, M., DeStefano, A. L., Aulchenko, Y. S., Debette, S., Lumley, T., Folsom, A. R., van den Herik, E. G., et al. (2009) · New England Journal of Medicine · doi:10.1056/nejmoa0900094 · Cited by 458
Cook, N. R., & Ridker, P. M. (2009) · Annals of Internal Medicine · doi:10.7326/0003-4819-150-11-200906020-00007 · Cited by 458
Wallace, C., Newhouse, S., Braund, P. S., Zhang, F., Tobin, M. D., Falchi, M., Ahmadi, K. R., Dobson, R., Marçano, A. C. B., Hajat, C., et al. (2008) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2007.11.001 · Cited by 441
LDL-cholesterol concentrations: a genome-wide association study
Sandhu, M. S., Waterworth, D. M., Debenham, S. L., Wheeler, E., Papadakis, K., Zhao, J. H., Song, K. S., Yuan, X., Johnson, T., Ashford, S. E., et al. (2008) · The Lancet · doi:10.1016/s0140-6736(08)60208-1 · Cited by 351
Ridker, P. M., Paré, G., Parker, A. N., Zee, R. Y. L., Danik, J. S., Buring, J. E., Kwiatkowski, D. J., Cook, N. R., Miletich, J. P., & Chasman, D. I. (2008) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2008.03.015 · Cited by 341
Genome-wide scan identifies variation in MLXIPL associated with plasma triglycerides
Kooner, J. S., Chambers, J. C., Aguilar-Salinas, C. A., Hinds, D. A., Hyde, C. L., Warnes, G. R., Pérez, F. J. G., Frazer, K. A., Elliott, P., Scott, J., et al. (2008) · Nature Genetics · doi:10.1038/ng.2007.61 · Cited by 335
Baseline Characteristics of Participants in the Women's Health Study
Rexrode, K. M., Lee, I.-M. M., Cook, N. R., Hennekens, C. H., & Buring, J. E. (2000) · Journal of Women s Health & Gender-Based Medicine · doi:10.1089/152460900318911 · Cited by 308
Risk variants for atrial fibrillation on chromosome 4q25 associate with ischemic stroke
Grétarsdóttir, S., Þorleifsson, G., Manolescu, A. R., Styrkársdóttir, U., Helgadóttir, A., Gschwendtner, A., Kostulas, K., Kuhlenbäumer, G., Bevan, S., Jónsdóttir, Þ., et al. (2008) · Annals of Neurology · doi:10.1002/ana.21480 · Cited by 286
Morrison, A. C., Bare, L. A., Chambless, L. E., Ellis, S. G., Malloy, M. J., Kane, J. P., Pankow, J. S., Devlin, J. J., Willerson, J. T., & Boerwinkle, E. (2007) · American Journal of Epidemiology · doi:10.1093/aje/kwm060 · Cited by 280
Paynter, N. P., Chasman, D. I., Buring, J. E., Shiffman, D., Cook, N. R., & Ridker, P. M. (2009) · Annals of Internal Medicine · doi:10.7326/0003-4819-150-2-200901200-00003 · Cited by 259
Self-citationA Polymorphism Within the G6PC2 Gene Is Associated with Fasting Plasma Glucose Levels
Bouatia‐Naji, N., Rocheleau, G., Lommel, L. V., Lemaire, K., Schuit, F. C., Cavalcanti-Proença, C., Marchand, M., Hartikainen, A., Sovio, U., Graeve, F. D., et al. (2008) · Science · doi:10.1126/science.1156849 · Cited by 242
Takeuchi, F., Serizawa, M., Yamamoto, K., Fujisawa, T., Nakashima, E., Ohnaka, K., Ikegami, H., Sugiyama, T., Katsuya, T., Miyagishi, M., et al. (2009) · Diabetes · doi:10.2337/db08-1494 · Cited by 235
Type 2 Diabetes Whole-Genome Association Study in Four Populations: The DiaGen Consortium
Salonen, J. T., Uimari, P., Aalto, J.-M., Pirskanen, M. M., Kaikkonen, J., Todorova, B., Hyppönen, J., Korhonen, V., Asikainen, J., Devine, C., et al. (2007) · The American Journal of Human Genetics · doi:10.1086/520599 · Cited by 196
Reiner, A. P., Barber, M., Guan, Y., Ridker, P. M., Lange, L. A., Chasman, D. I., Walston, J. D., Cooper, G. M., Jenny, N. S., Rieder, M. J., et al. (2008) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2008.03.017 · Cited by 188
Ridker, P. M., Chasman, D. I., Zee, R. Y. L., Parker, A. N., Rose, L. M., Cook, N. R., Buring, J. E., & for the Women’s Genome Health Study Working Group (2007) · Clinical Chemistry · doi:10.1373/clinchem.2007.099366 · Cited by 169
Talmud, P. J., Cooper, J. A., Palmen, J., Lovering, R. C., Drenos, F., Hingorani, A. D., & Humphries, S. E. (2008) · Clinical Chemistry · doi:10.1373/clinchem.2007.095489 · Cited by 146
Analyses and Comparison of Accuracy of Different Genotype Imputation Methods
Pei, Y., Li, J., Zhang, L., Papasian, C. J., & Deng, H. (2008) · PLoS ONE · doi:10.1371/journal.pone.0003551 · Cited by 137
Burkhardt, R., Kenny, E. E., Lowe, J. K., Birkeland, A. C., Josowitz, R., Noel, M., Salit, J., Maller, J., Pe’er, I., Daly, M. J., et al. (2008) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/atvbaha.108.172288 · Cited by 129
Timpson, N. J., Lindgren, C. M., Weedon, M. N., Randall, J. C., Ouwehand, W. H., Strachan, D. P., Rayner, N. W., Walker, M., Hitman, G. A., Doney, A. S. F., et al. (2008) · Diabetes · doi:10.2337/db08-0906 · Cited by 128
Genome-wide association with select biomarker traits in the Framingham Heart Study
Benjamin, E. J., Dupuis, J., Larson, M. G., Lunetta, K. L., Booth, S. L., Govindaraju, D. R., Kathiresan, S., Keaney, J. F., Keyes, M. J., Lin, J., et al. (2007) · BMC Medical Genetics · doi:10.1186/1471-2350-8-s1-s11 · Cited by 124
Brautbar, A., Ballantyne, C. M., Lawson, K., Nambi, V., Chambless, L. E., Folsom, A. R., Willerson, J. T., & Boerwinkle, E. (2009) · Circulation Cardiovascular Genetics · doi:10.1161/circgenetics.108.817338 · Cited by 98
Ioannidis, J. P. A. (2009) · Circulation Cardiovascular Genetics · doi:10.1161/circgenetics.108.833392 · Cited by 85
Harrell, F., Jr. (1996) · doi:10.1002/(sici)1097-0258(19960229)15:4
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Metadata
- Authors
- Paynter, N. P.
- Affiliations
- Brigham and Women's Hospital (US)
- Corresponding author
- Paynter, Nina P.
- ORCID
- Paynter, Nina P.
- Venue
- JAMA
- Publisher
- American Medical Association (AMA)
- Published
- 2010-02-17
- Volume
- 303
- Issue
- 7
- Pages
- 631
- ISSN
- 0002-9955 (ISSN-L)
- 0098-7484
- PMC
- PMC2845522
- OpenAlex
- W2015060037
- Cited by
- 361
- References
- 42
- Citations by year
- 2026: 3 · 2025: 1 · 2024: 5 · 2023: 3 · 2022: 8 · 2021: 5 · 2020: 9 · 2019: 6 · 2018: 10 · 2017: 22 · 2016: 22 · 2015: 26 · 2014: 32 · 2013: 45 · 2012: 74
- FWCI
- 37.27
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- JAMA (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (5r01hl043851-10)
- National Heart, Lung, and Blood Institute (R01HL080467, HL043851, R01‐HL043851)
- National Cancer Institute (CA 047988, R01CA047988)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Nutrition, Genetics, and Disease
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Health and Risk Factors
- Keywords
- polygenic risk score, cardiovascular disease, women, myocardial infarction, stroke, cardiovascular mortality, arterial revascularization, single nucleotide polymorphisms, family history, cardiovascular risk prediction, reclassification, risk discrimination, traditional cardiovascular risk factors, women's cardiovascular health
- MeSH terms
- Alleles, Cardiovascular Diseases, Female, Genetic Markers, Humans, Middle Aged, Phenotype, Prospective Studies, Risk, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide
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