The DOI matches its Crossref record; 45 of the 46 references it cites were found in a registry or an index.
Genetic risk, coronary heart disease events, and the clinical benefit of statin therapy: an analysis of primary and secondary prevention trials
Open accessAbstract
Background Genetic variants have been associated with the risk of coronary heart disease. In this study, we tested whether or not a composite of these variants could ascertain the risk of both incident and recurrent coronary heart disease events and identify those individuals who derive greater clinical benefit from statin therapy.Methods A community-based cohort study (the Malmo Diet and Cancer Study) and four randomised controlled trials of both primary prevention (JUPITER and ASCOT) and secondary prevention (CARE and PROVE IT-TIMI 22) with statin therapy, comprising a total of 48,421 individuals and 3477 events, were included in these analyses. We studied the association of a genetic risk score based on 27 genetic variants with incident or recurrent coronary heart disease, adjusting for traditional clinical risk factors. We then investigated the relative and absolute risk reductions in coronary heart disease events with statin therapy stratified by genetic risk. We combined data from the different studies using a meta-analysis.Findings When individuals were divided into low (quintile 1), intermediate (quintiles 2-4), and high (quintile 5) genetic risk categories, a significant gradient in risk for incident or recurrent coronary heart disease was shown. Compared with the low genetic risk category, the multivariable-adjusted hazard ratio for coronary heart disease for the intermediate genetic risk category was 1·34 (95% CI 1·22-1·47, p<0·0001) and that for the high genetic risk category was 1·72 (1·55-1·92, p<0·0001). In terms of the benefit of statin therapy in the four randomised trials, we noted a significant gradient (p=0·0277) of increasing relative risk reductions across the low (13%), intermediate (29%), and high (48%) genetic risk categories. Similarly, we noted greater absolute risk reductions in those individuals in higher genetic risk categories (p=0·0101), resulting in a roughly threefold decrease in the number needed to treat to prevent one coronary heart disease event in the primary prevention trials. Specifically, in the primary prevention trials, the number needed to treat to prevent one such event in 10 years was 66 in people at low genetic risk, 42 in those at intermediate genetic risk, and 25 in those at high genetic risk in JUPITER, and 57, 47, and 20, respectively, in ASCOT.Interpretation A genetic risk score identified individuals at increased risk for both incident and recurrent coronary heart disease events. People with the highest burden of genetic risk derived the largest relative and absolute clinical benefit from statin therapy.Funding National Institutes of Health.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“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 [22]
In the citing paper
“For example, we previously showed that a high polygenic risk for CAD may be offset by either of two interventions: adherence to a healthy lifestyle or cholesterol-lowering therapy with statin medications.19–21”
From Genome-wide polygenic scores for common diseases identify individuals with risk equivalent to monogenic mutations (2018) · cites this paper as [20]
In the citing paper
“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 [22]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
1 retracted
Reduced dietary salt for the prevention of cardiovascular disease
Taylor, R. S., Ashton, K. E., Moxham, T., Hooper, L., & Ebrahim, S. B. J. (2013) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd009217.pub2 · Cited by 311
RetractedSacks, F. M., Pfeffer, M. A., Moye, L. A., Rouleau, J. L., Rutherford, J. D., Cole, T. G., Brown, L., Warnica, J. W., Arnold, J. M. O., Wun, C.-C., et al. (1996) · New England Journal of Medicine · doi:10.1056/nejm199610033351401 · Cited by 7,439
Self-citationRosuvastatin to Prevent Vascular Events in Men and Women with Elevated C-Reactive Protein
Ridker, P. M., Danielson, E., Fonseca, F. A. H., Genest, J., Gotto, A. M., Kastelein, J. J. P., Koenig, W., Libby, P., Lorenzatti, A. J., MacFadyen, J. G., et al. (2008) · New England Journal of Medicine · doi:10.1056/nejmoa0807646 · Cited by 6,674
Self-citationCholesterol Treatment Trialists' (CTT) Collaboration (2010) · The Lancet · doi:10.1016/s0140-6736(10)61350-5 · Cited by 6,550
Intensive versus Moderate Lipid Lowering with Statins after Acute Coronary Syndromes
Cannon, C. P., Braunwald, E., McCabe, C. H., Rader, D. J., Rouleau, J. L., Belder, R., Joyal, S. V., Hill, K. A., Pfeffer, M. A., & Skene, A. M. (2004) · New England Journal of Medicine · doi:10.1056/nejmoa040583 · Cited by 4,938
Self-citationSever, P., Dahlöf, B., Poulter, N. R., Wedel, H., Beevers, G., Caulfield, M. J., Collins, R., Kjeldsen, S. E., Kristinsson, A., McInnes, G. T., et al. (2003) · The Lancet · doi:10.1016/s0140-6736(03)12948-0 · Cited by 3,790
Self-citationRosuvastatin to Prevent Vascular Events in Men and Women With Elevated C-Reactive Protein
Ridker, P. M., Danielson, E., Fonseca, F. A. H., Genest, J. J., Gotto, A. M., Kastelein, J. J. P., Köenig, W., Libby, P., Lorenzatti, A. J., MacFadyen, J. G., et al. (2009) · Obstetrical & Gynecological Survey · doi:10.1097/01.ogx.0000344393.60303.0a · Cited by 3,641
Self-citationCollaborators, C. T. T. (. (2012) · The Lancet · doi:10.1016/s0140-6736(12)60367-5 · Cited by 2,833
Statins for the primary prevention of cardiovascular disease
Taylor, F., Huffman, M. D., Macedo, A. F., Moore, T. H., Burke, M., Davey Smith, G., Ward, K., Ebrahim, S., & Gay, H. C. (2013) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd004816.pub5 · Cited by 1,934
Cited by
Sorted by citations
Items 501–600 of 704
Nanna, M. G., Peterson, E. D., Chiswell, K., Overton, R. A., Nelson, A. J., Kong, D. F., & Návar, A. M. (2021) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2021.02.004 · Cited by 2
Common genetic variants do not predict recurrent events in coronary heart disease patients
Thompson, P. L., Hui, J., Beilby, J. P., Palmer, L. J., Watts, G. F., West, M., Kirby, A. C., Marschner, S. L., Simes, R. J., SULLIVAN, D. R., et al. (2022) · BMC Cardiovascular Disorders · doi:10.1186/s12872-022-02520-0 · Cited by 2
Polygenic score: An anchor holding the whole life course
Jin, G., Ma, H.-X., Shen, H.-B., & Hu, Z.-B. (2023) · Chinese Medical Journal · doi:10.1097/cm9.0000000000002648 · Cited by 1
Pharmacogenomics in cardiovascular disease
Turner, R. M., & Pirmohamed, M. (2023) · Elsevier eBooks · doi:10.1016/b978-0-12-822824-1.00001-8 · Cited by 2
Stein, R., Ferrari, F., & García-Giustiniani, D. (2024) · Arquivos Brasileiros de Cardiologia · doi:10.36660/abc.20240252 · Cited by 1
Moon, K. W., Jung, S., Do, H., Son, C., Kim, J., Nam, Y., Yun, J., Park, W., Won, H., & Kim, D. (2024) · RMD Open · doi:10.1136/rmdopen-2024-004552 · Cited by 2
Choi, J., Wen, W., Jia, G., Tao, R., Long, J., Shu, X., & Zheng, W. (2024) · Journal of Cardiovascular Translational Research · doi:10.1007/s12265-024-10578-8 · Cited by 2
Xu, X., Li, W., Liu, F., Chen, C., Xie, H., Wang, F., Han, X., Qian, Z., Zhao, X., Sun, J., et al. (2025) · Journal of Atherosclerosis and Thrombosis · doi:10.5551/jat.65369 · Cited by 2
Belanger, M. J., Kelly, E. M., Tahir, U. A., & Benson, M. D. (2021) · Cardiology in Review · doi:10.1097/crd.0000000000000384 · Cited by 2
The year in cardiology 2015: prevention.
Chapman, M. J., Blankenberg, S., & Landmesser, U. (2016) · Cardiologia Croatica · doi:10.15836/ccar2016.218 · Cited by 2
Cosor, O. C., Bucur, A., Smarandita, B. E. D., Angela, D., Gaiță, D. I., & Mancaş, S. (2017) · International Journal of Cardiovascular Sciences · doi:10.5935/2359-4802.20170015 · Cited by 2
Genetic Risk Stratification and Prevention of CAD: An Idea Whose Time Is Now
Roberts, R. (2017) · Clinical Chemistry · doi:10.1373/clinchem.2017.278895 · Cited by 2
Genomics to Predict Risk of Coronary Artery Disease
Kessler, T., von Ameln, S., & Schunkert, H. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-801812-5.00002-0 · Cited by 2
Genetics of coronary artery disease
Hui, S., Lindale, E., Sun, L. Y., & Ruel, M. (2018) · Current Opinion in Cardiology · doi:10.1097/hco.0000000000000560 · Cited by 2
Benes, L. B., Brummel, K. S., Roth, M. M., Shen, L., & Davidson, M. H. (2019) · Cardiovascular revascularization medicine · doi:10.1016/j.carrev.2019.04.006 · Cited by 2
Should We Target Global Risk or Risk Factors?
Tokgözoğlu, L. S., & Koçyiğit, D. (2021) · Current Atherosclerosis Reports · doi:10.1007/s11883-020-00898-w · Cited by 2
Genetic Risk Factors of Coronary Artery Disease
Singh, R. B., Pandi-Perumal, S. R., Singh, J., Hristová, K., & Elkilany, G. N. (2015) · CLOK (University of Central Lancashire) · Cited by 2
Lin, C. (2022) · Computational and Mathematical Methods in Medicine · doi:10.1155/2022/1261259 · Cited by 2
Polygenic scores for low lung function and the future risk of adverse health outcomes
Zaigham, S., Gonçalves, I., Engström, G., & Sun, J. (2022) · Cardiovascular Diabetology · doi:10.1186/s12933-022-01661-y · Cited by 2
Nasr, N. M. G., Soltész, B., Sándor, J., Ádány, R., & Fiatal, S. (2023) · Genes · doi:10.3390/genes14051033 · Cited by 2
Atherosclerosis plaque area reduction: working hypothesis to prevent cardiovascular event
Pérez, H. A., Allende, G. A. F., Ajayi, E. I. O., Porta, D. J., & Garcia, N. H. (2018) · Comparative Clinical Pathology · doi:10.1007/s00580-018-2868-1 · Cited by 2
A Population-Based Study of Simvastatin Drug-Drug Interactions in Cardiovascular Disease Patients.
Wang, J., Chi, C., Peter, W. L. S., Carlson, A., Loth, M., Pradhan, P. M., Liang, Y., Chen, W.-Y., Lenskaia, T., Robinson, J. G., et al. (2020) · PubMed Central · Cited by 2
Immune System and Mind-Body Medicine – An Overview
Calvillo, L., & Parati, G. (2019) · Springer eBooks · doi:10.1007/978-3-319-90305-7_9-1 · Cited by 2
The Value of Control Conditions for Evaluating Pharmacogenetic Effects
Chen, L., Baker, T. B., & Bierut, L. J. (2015) · Pharmacogenomics · doi:10.2217/pgs.15.143 · Cited by 2
Intracoronary Imaging, Reverse Cholesterol Transport, and Transcriptomics
Chhatriwalla, A. K., & Rader, D. J. (2017) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2016.12.003 · Cited by 2
The Positive End of the Polygenic Score Distribution for ADHD: A Low Risk or a Protective Factor?Preprint
Li, J. J. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/611897 · Cited by 2
Polygenic modulation of lipoprotein(a)-associated cardiovascular riskPreprint
Trinder, M., & Brunham, L. R. (2020) · medRxiv · doi:10.1101/2020.02.22.20026757 · Cited by 2
Lieb, W., & Vasan, R. S. (2020) · Expert Review of Cardiovascular Therapy · doi:10.1080/14779072.2020.1797489 · Cited by 2
Urbut, S., Yeung, M. W., Khurshid, S. S., Cho, S. M. J., Schuermans, A., German, J., Taraszka, K., Fahed, A. C., Ellinor, P. T., Trinquart, L., et al. (2023) · medRxiv · doi:10.1101/2023.11.08.23298229 · Cited by 2
Epigenetic and transcriptional regulation of the human angiotensinogen gene by high saltPreprint
Perla, S., & Kumar, A. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.11.22.568343 · Cited by 2
Inclusion bias affects common variant discovery and replication in a health-system linked biobankPreprint
Pimplaskar, A., Qiu, J., Lapinska, S., Tozzo, V., Chiang, J. N., Paşaniuc, B., & Loohuis, L. M. O. (2025) · medRxiv · doi:10.1101/2025.04.04.25325131 · Cited by 2
Gene‐based association tests in family samples using GWAS summary statistics
Wang, P., Xu, X. P., Li, M., Lou, X., Xu, S., Wu, B., Gao, G., Yin, P., & Liu, N. (2024) · Genetic Epidemiology · doi:10.1002/gepi.22548 · Cited by 1
Population Heterogeneity and Selection of Coronary Artery Disease Polygenic Scores
Debernardi, C., Savoca, A., Gregorio, A. D., Casalone, E., Rosselli, M., Herman, E. J., Primio, C. D., Tumino, R., Sieri, S., Vineis, P., et al. (2024) · Journal of Personalized Medicine · doi:10.3390/jpm14101025 · Cited by 2
Genome-wide association study of idiopathic epilepsy in the Italian Spinone dog breed
Jenkins, C. A., Risio, L. D., Lophatananon, A., Lewis, T., Foster, D., Johnson, J., Lohi, H., Mellersh, C. S., & Ricketts, S. L. (2025) · PLoS ONE · doi:10.1371/journal.pone.0315546 · Cited by 1
Polygenic Risk Scores for Personalized Cardiovascular Pharmacogenomics―A Scoping Review
Dwivedi, A., Phulka, J., Namdarimoghaddam, P., & Laksman, Z. (2025) · Scientia Pharmaceutica · doi:10.3390/scipharm93020018 · Cited by 1
The Statin Floor Effect: a Mechanistic Framework for Residual Cardiovascular Risk
Peacock, E. J. (2026) · Cardiovascular Drugs and Therapy · doi:10.1007/s10557-025-07827-6 · Cited by 2
Inclusion bias affects common variant discovery and replication in a health-system linked biobank
Pimplaskar, A., Qiu, J., Lapinska, S., Tozzo, V., Chiang, J. N., Paşaniuc, B., & Loohuis, L. M. O. (2026) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2026.02.011 · Cited by 4
Zhou, Z., Yu, C., Lacaze, P. A., Wolfe, R. S., Tonkin, A. M., Zhu, C., Woods, R. L., Zheng, J., Neumann, F., Nelson, M. R., et al. (2026) · Circulation Population Health and Outcomes · doi:10.1161/circoutcomes.126.013687 · Cited by 1
Polygenic risk scores in clinical applications – opportunities and challenges
Schumacher, J., Nöthen, M., & Heilmann-Heimbach, S. (2026) · Medizinische Genetik · doi:10.1515/medgen-2026-3016 · Cited by 2
Ooi, I. L. P., Chia, A. W.-Y., Chee, Y. J., Goh, L. L., Leong, K. P., Acharyya, S., Dalan, R., & Saxena, A. (2026) · JACC Asia · doi:10.1016/j.jacasi.2026.07.018 · Cited by 1
JCL roundtable: Lessons from genetic variants altering lipoprotein metabolism
Brown, W. V., Ference, B. A., & Kathiresan, S. (2016) · Journal of clinical lipidology · doi:10.1016/j.jacl.2016.04.002 · Cited by 1
Self-citationMultiauthored International Publications
Roberts, R. (2017) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2017.03.554 · Cited by 1
Statin therapy: time for a precision medicine approach?
Mehdar, A., Hegele, R. A., Kim, R. B., & Gryn, S. E. (2017) · Expert Review of Precision Medicine and Drug Development · doi:10.1080/23808993.2017.1356685 · Cited by 1
Hui, S., Sun, L. Y., & Ruel, M. (2018) · Indian Journal of Thoracic and Cardiovascular Surgery · doi:10.1007/s12055-017-0635-6 · Cited by 1
Shah, N. N., & Rohatgi, A. K. (2018) · Current Cardiovascular Risk Reports · doi:10.1007/s12170-018-0570-0 · Cited by 1
Gu, D. (2018) · Scientia Sinica Vitae · doi:10.1360/n052018-00194 · Cited by 1
A Simulation Model to Evaluate the Implications of Genetic Testing in Cholesterol Treatment Plans
Marrero, W. J., Lavieri, M. S., & Sussman, J. B. (2019) · Winter Simulation Conference · doi:10.1109/wsc40007.2019.9004735 · Cited by 1
The Role of Genetics in Preventive Cardiology: Utility of Clinically Available Genetic Tests
Superko, H. R. (2020) · Contemporary cardiology · doi:10.1007/978-3-030-56279-3_15 · Cited by 1
Han, X., Fox, S., Chu, M. V. C. T. G., & McCombs, J. (2022) · Journal of health economics and outcomes research · doi:10.36469/2022.28934 · Cited by 1
Improving the computation efficiency of polygenic risk score modeling: faster in Julia
Faucon, A. B., Samaroo, J., Ge, T., Davis, L., Cox, N. J., Tao, R., & Shuey, M. M. (2021) · Life Science Alliance · doi:10.26508/lsa.202201382 · Cited by 2
Hyun, S., & Jun, S. (2023) · Journal of Korean Biological Nursing Science · doi:10.7586/jkbns.23.353 · Cited by 1
Polymorphic Variant rs11206510 in PCSK9 and Risk of Coronary Artery Disease in Bulgarians
Tzveova, R., Yaneva-Sirakova, T., Atanasova, G. N., Vandeva, S., Pendicheva-Duhlenska, D., Atanasov, P., Mitev, V., & Kaneva, R. P. (2023) · Acta Medica Bulgarica · doi:10.2478/amb-2023-0003 · Cited by 1
Modern prospects of targeted hypolipidemic therapy
Kuchmin, A. N., Борисович, Н. М., Grachev, A. M., & Смирнова, Е. В. (2023) · Bulletin of the Russian Military Medical Academy · doi:10.17816/brmma321350 · Cited by 1
Mallin, M. P., Hall, J. P., Herlihy, M., Gelman, E. J., & Stone, M. B. (2023) · Frontiers in Medicine · doi:10.3389/fmed.2023.1239737 · Cited by 2
Falahat, P., Scheidt, U., Pörner, D., & Schwab, S. (2024) · Journal of Clinical Medicine · doi:10.3390/jcm13133778 · Cited by 1
Onyshchenko, O. V., Koshelia, I. I., Riabenko, D. V., & Yepanchintseva, O. A. (2024) · Clinical and Preventive Medicine · doi:10.31612/2616-4868.6.2024.17 · Cited by 4
Treating Cardiovascular Disorders with Personalized Medicine
Garg, I., Kumar, H., Verma, M., Chauhan, I., & Panwar, V. (2025) · Cardiovascular & Haematological Disorders - Drug Targets · doi:10.2174/011871529x361429250215190129 · Cited by 2
Manikpurage, H. D., Bourgault, J., Houessou, U., Paulin, A., Zamani, P., Gagnon, É., Li, Z., Boudreau, D. K., Eslami, A., Voisine, P., et al. (2025) · Communications Medicine · doi:10.1038/s43856-025-00981-w · Cited by 1
Genetic Risk Score Enables a Vaccine for Early Primary Prevention of CAD
Roberts, R. (2025) · Methodist DeBakey Cardiovascular Journal · doi:10.14797/mdcvj.1617 · Cited by 1
Progress of Genomics in Atherosclerosis-Coronary Heart Disease and Myocardial Infarction
Yuan, J., & Liu, Y. (2018) · Translational bioinformatics · doi:10.1007/978-981-13-1429-2_8 · Cited by 1
Brown, S.-A. N., Jouni, H., & Kullo, I. J. (2019) · Preventive Medicine Reports · doi:10.1016/j.pmedr.2018.12.011 · Cited by 1
The CXCL12 SNPs and their haplotypes are associated with serum lipid traits
Qiu, L., Yin, R., Nie, R.-J., Hu, X.-J., Khounphinith, E., & Zhang, F.-H. (2019) · Scientific Reports · doi:10.1038/s41598-019-55725-3 · Cited by 1
(2020) · Journal of Cellular Physiology · doi:10.1002/jcp.29679 · Cited by 1
RetractedHypertension Gene Risk Score in Diagnosis and Prediction of Complications
Sharma, S. (2021) · RUHS Journal of Health Science · doi:10.37821/ruhsjhs.6.1.2021.378 · Cited by 1
Soška, V., Karásek, D., Blaha, V., Cífková, R., Freiberger, T., Kraml, P. J., Pitha, J. V., Rosolová, H., Štulc, T., Urbanová, Z., et al. (2018) · Vnitřní lékařství · doi:10.36290/vnl.2018.160 · Cited by 1
Quek, D. K. (2021) · ASEAN heart journal · doi:10.31762/ahj2130.0101 · Cited by 1
Welche Risikofaktoren gibt es und was kann man dagegen tun?
Hambrecht, R., & Wienbergen, H. (2021) · Springer eBooks · doi:10.1007/978-3-662-63467-7_2 · Cited by 1
Groenland, E. H., Heidemann, B. E., van der Laan, S. W., van Setten, J., Koopal, C., Bots, M. L., Asselbergs, F. W., Visseren, F. L. J., & Spiering, W. (2022) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2022.03.006 · Cited by 1
Gladding, P. A., Dugo, C., Wynne, Y., Semple, H., Smith, K. K., Larsen, P., Shepherd, P., Zarate, E., Villas-Bôas, S. G., & Schlegel, T. T. (2018) · Heart Lung and Circulation · doi:10.1016/j.hlc.2018.05.117 · Cited by 1
Amin, I., Ali, A., Shah, I. M., Wani, R. F. C., Jabeen, F., Wani, H. A., Mushtaq, S., Rehman, M. U., & Maqbool, M. T. (2023) · Elsevier eBooks · doi:10.1016/b978-0-443-15336-5.00010-5 · Cited by 1
Genetic Scores and Prediction of Atherosclerotic Cardiovascular Disease
Antiochos, P., Marques-Vidal, P. M., & Vollenweider, P. (2016) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2016.02.077 · Cited by 1
The Sum of Its Parts: The Polygenic Basis of Coronary Artery Disease
McPherson, R., & Hegele, R. A. (2016) · Canadian Journal of Cardiology · doi:10.1016/j.cjca.2016.07.002 · Cited by 1
Genetic and Epigenetic Determinants of Tissue Factor Pathway Inhibitor Plasma Levels
Dennis, J. K. (2016) · TSpace (University of Toronto) · Cited by 1
Future Directions in Pharmacogenomics Discovery in Cardiovascular Disease
Friede, K. A., & Voora, D. (2018) · Pharmacogenomics · doi:10.2217/pgs-2018-0002 · Cited by 1
Schunkert, H. (2019) · Trends in Cardiovascular Medicine · doi:10.1016/j.tcm.2019.09.001 · Cited by 1
Koyama, S., Ito, K., Terao, C. C., Akiyama, M., Horikoshi, M., Momozawa, Y., Matsunaga, H., Ieki, H., Ozaki, K., Onouchi, Y., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/827550 · Cited by 1
[The etiology of denture stomatitis].
Lange, K. P., & Holzheidt, G. (1982) · PubMed · Cited by 1
Leveraging Population Genomics to Enhance Preventive Cardio-Oncology
Gaziano, L., & Aragam, K. G. (2022) · JACC CardioOncology · doi:10.1016/j.jaccao.2022.05.008 · Cited by 1
Xie, J., Feng, Y., Newby, D., Zheng, B., Feng, Q., Prats‐Uribe, A., Li, C., Wareham, N. J., Paredes, R., & Prieto‐Alhambra, D. (2022) · medRxiv · doi:10.1101/2022.10.26.22281547 · Cited by 1
Polygenic Risk and the Progression of High-Risk Coronary Plaque
Marston, N. (2024) · JACC. Cardiovascular imaging · doi:10.1016/j.jcmg.2024.07.026 · Cited by 1
Suwaidi, J. M. S. A. (2015) · Global Cardiology Science and Practice · doi:10.5339/gcsp.2015.19
Genetic risk and statin preventative therapy
Bahcall, O. G. (2015) · Nature Reviews Genetics · doi:10.1038/nrg3928
Genetic risk scores and coronary heart disease risk
Bloch, M. J. (2015) · Journal of the American Society of Hypertension · doi:10.1016/j.jash.2015.06.010
Hecht, H. S., Narula, J., & Chandrashekhar, Y. (2015) · JACC. Cardiovascular imaging · doi:10.1016/j.jcmg.2015.07.014
Pletcher, M. J. (2015) · BMJ Evidence-Based Medicine · doi:10.1136/ebmed-2015-110257
Genetic Risk for Coronary Heart Disease Affects Efficacy of Statins for Prevention
Soloway, B. (2015) · Journal watch · doi:10.1056/nejm-jw.na37233
Südame isheemiatõve riski ennustamine geneetiliste markerite abil
Saar, A., Marandi, T., Alver, M., Ainla, T., Fischer, K., & Eha, J. (2015) · Ajakirjad. Journals by UT · doi:10.15157/ea.v0i0.12342
The Role of Genetics in Acute Coronary Syndrome
Chandrasekhar, J., & Mehran, R. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-803312-8.00003-3
Godina 2015. u kardiologiji: prevencija The year in cardiology 2015: prevention
Chapman, M. J., Blankenberg, S., & Landmesser, U. (2016)
Risk Factors, Processes and Risk Management within a Public Health Context
Szentes, T. (2016) · Environmental Medicine
Brown, S.-A. N. (2016) · Circulation Cardiovascular Genetics · doi:10.1161/circgenetics.116.001507
The Genetics of Coronary Heart Disease across Ethnicities and in those with Type 2 Diabetes
Beaney, K. (2016) · Doctoral thesis, UCL (University College London).
Hızel, C., Tremblay, J., Bartlett, G., & Hamet, P. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-809411-2.00001-5
Jensen, J. K., Khera, A. V., & Emdin, C. A. (2017) · Elsevier eBooks · doi:10.1016/b978-0-323-42880-4.00017-0
Farias, D. S. (2016) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/d.5.2016.tde-05122016-163220
Coronary Artery Disease and Myocardial Infarction
Assimes, T. L. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-800685-6.00008-4
Twenty-First Century Diseases: Commonly Rare and Rarely Common?
Daunert, S., Sittampalam, G. S., & Goldschmidt‐Clermont, P. J. (2017) · Antioxidants and Redox Signaling · doi:10.1089/ars.2017.7065
CKing Precision in the Interpretation of Diagnostic Biomarkers
de Denus, S., Tardif, J., & Dubé, M. (2017) · Circulation Cardiovascular Genetics · doi:10.1161/circgenetics.117.001874
The Clinical Utility of Genetic Risk Scores Following Myocardial Infarction
Northcott, H. (2016) · Open Access Victoria University of Wellington | Te Herenga Waka (Figshare) · doi:10.26686/wgtn.17061737
Ciuculete, D. M., Schiöth, H. B., & Mwinyi, J. (2017) · Clinical Genetics · doi:10.1111/cge.13042
Metadata
- Authors
- Mega, J. L., Stitziel, N. O., Smith, J. G., Chasman, D. I., Caulfield, M. J., Devlin, J. J., Nordio, F., Hyde, C. L., Cannon, C. P., Sacks, F. M., Poulter, N. R., Sever, P. S., Ridker, P. M., Braunwald, E., Melander, O., Kathiresan, S., & Sabatine, M. S.
- Affiliations
- Brigham and Women's Hospital (US)
- Washington University in St. Louis (US)
- Broad Institute (US)
- Queen Mary University of London (GB)
- Quest Diagnostics (United States) (US)
- Pfizer (United States) (US)
- Imperial College London (GB)
- Lund University (SE)
- Corresponding author
- Mega, Jessica L
- Stitziel, Nathan O
- ORCID
- Venue
- The Lancet
- Publisher
- Elsevier BV
- Published
- 2015-06
- Volume
- 385
- Issue
- 9984
- Pages
- 2264-2271
- ISSN
- 0099-5355 (ISSN-L)
- 0140-6736
- PMC
- PMC4608367
- OpenAlex
- W2171705978
- Cited by
- 704
- References
- 46
- Citations by year
- 2026: 40 · 2025: 48 · 2024: 51 · 2023: 69 · 2022: 78 · 2021: 83 · 2020: 78 · 2019: 59 · 2018: 62 · 2017: 53 · 2016: 57 · 2015: 25
- FWCI
- 12.58
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- The Lancet (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (acceptedVersion)
- Lund University Publications (Lund University) (submittedVersion)
- Spiral (Imperial College London) (submittedVersion, cc-by-nc-nd)
- Funders
- National Heart, Lung, and Blood Institute (NHLBI) of the National Institutes of Health (NIH) (RC1 HL099634)
- NIH and the NHLBI (grant K08 HL114642)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Lipoproteins and Cardiovascular Health
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Nutrition, Genetics, and Disease
- Keywords
- coronary artery disease, polygenic risk score, genetic variants, statin therapy, primary prevention, secondary prevention, number needed to treat, risk stratification, JUPITER trial, ASCOT trial, CARE trial, PROVE IT-TIMI 22, recurrent cardiovascular events, Malmö Diet and Cancer Study, cardiovascular risk prediction, treatment benefit stratification, LDL cholesterol lowering
- MeSH terms
- Coronary Disease, Humans, Primary Prevention, Recurrence, Treatment Outcome, Risk Assessment, Hydroxymethylglutaryl-CoA Reductase Inhibitors, Secondary Prevention, Numbers Needed To Treat
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review