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70-year legacy of the Framingham Heart Study
Abstract
The Framingham Heart Study (FHS) was established in 1948 to improve understanding of the epidemiology of coronary heart disease (CHD) in the USA. In 1961, seminal work identified major risk factors for CHD (high blood pressure, high cholesterol levels and evidence on the electrocardiogram of left ventricular hypertrophy), which later formed the basis for multivariable 10-year and 30-year risk-prediction algorithms. The FHS cohorts now comprise three generations of participants (n ≈ 15,000) and two minority cohorts. The FHS cohorts are densely phenotyped, with recurring follow-up examinations and surveillance for cardiovascular and non-cardiovascular end points. Assessment of subclinical disease and physiological profiling of these cohorts (with the use of echocardiography, ambulatory electrocardiographic monitoring, exercise stress testing, cardiac CT, heart and brain MRI, serial vascular tonometry and accelerometry) have been performed repeatedly. Over the past decade, the FHS cohorts have undergone deep 'omics' profiling (including whole-genome sequencing, DNA methylation analysis, transcriptomics, high-throughput proteomics and metabolomics, and microbiome studies). The FHS is a rich, longitudinal, transgenerational and deeply phenotyped cohort study with a sustained focus on state-of-the-art epidemiological methods and technological advances to facilitate scientific discoveries.
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“Over its 74-year length, the Framingham Heart Study has demonstrated that hypertension, coronary artery disease, cardiac hypertension and diabetes are cardiovascular risk factors associated with the future development of heart failure [2,3].”
From Recent Experimental Studies of Maternal Obesity, Diabetes during Pregnancy and the Developmental Origins of Cardiovascular Disease (2022) · cites this paper as [3]
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Self-citationMultiple Biomarkers and Risk of Clinical and Subclinical Vascular Brain Injury
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Self-citationXanthakis, V., Larson, M. G., Wollert, K. C., Aragam, J. R., Cheng, S. C., Ho, J. E., Coglianese, E. E., Levy, D. A., Colucci, W. S., Felker, G. M., et al. (2013) · Journal of the American Heart Association · doi:10.1161/jaha.113.000399 · Cited by 75
Self-citationAndersson, C., Enserro, D. M., SULLIVAN, L. M., Wang, T. J., Januzzi, J. L., Benjamin, E. J., Vita, J. A., Hamburg, N. M., Larson, M. G., Mitchell, G. F., et al. (2016) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2016.02.013 · Cited by 75
Self-citationAnalysis of a Urinary Biomarker Panel for Incident Kidney Disease and Clinical Outcomes
O’Seaghdha, C. M., Hwang, S., Larson, M. G., Meigs, J. B., Vasan, R. S., & Fox, C. S. (2013) · Journal of the American Society of Nephrology · doi:10.1681/asn.2013010019 · Cited by 74
Self-citationYeon, S. B., Salton, C. J., Gona, P. N., Chuang, M. L., Blease, S. J., Han, Y., Tsao, C. W., Danias, P. G., Levy, D. A., O’Donnell, C. J., et al. (2014) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.24649 · Cited by 73
Self-citationAggregate penetrance of genomic variants for actionable disorders in European and African Americans
Natarajan, P., Gold, N. B., Bick, A. G., McLaughlin, H. M., Kraft, P. L., Rehm, H. L., Peloso, G. M., Wilson, J. G., Correa, A., Seidman, J. G., et al. (2016) · Science Translational Medicine · doi:10.1126/scitranslmed.aag2367 · Cited by 72
An exome array study of the plasma metabolome
Rhee, E. P., Yang, Q., Yu, B., Liu, X., Cheng, S. C., Deik, A., Pierce, K. A., Bullock, K. H., Ho, J. E., Levy, D. A., et al. (2016) · Nature Communications · doi:10.1038/ncomms12360 · Cited by 71
Self-citationMultiethnic Exome-Wide Association Study of Subclinical Atherosclerosis
Natarajan, P., Bis, J. C., Bielak, L. F., Cox, A. J., Dörr, M., Feitosa, M. F., Franceschini, N., Guo, X., Hwang, S.-J., Isaacs, A., et al. (2016) · Circulation: Cardiovascular Genetics · doi:10.1161/circgenetics.116.001572 · Cited by 66
Plasma Brain Natriuretic Peptide Levels and Blood Pressure Tracking in the Framingham Heart Study
Freitag, M., Larson, M. G., Levy, D. A., Benjamin, E. J., Wang, T. J., Leip, E. P., Wilson, P. W. F., & Vasan, R. S. (2003) · Hypertension · doi:10.1161/01.hyp.0000061116.20490.8d · Cited by 65
Self-citationMethylome-wide Association Study of Atrial Fibrillation in Framingham Heart Study
Lin, H., Yin, X., Xie, Z., Lunetta, K. L., Lubitz, S. A., Larson, M. G., Ko, D., Magnani, J. W., Mendelson, M., Liu, C., et al. (2017) · Scientific Reports · doi:10.1038/srep40377 · Cited by 63
Self-citationChuang, M. L., Gona, P. N., Hautvast, G. L. T. F., Salton, C. J., Breeuwer, M. M., O’Donnell, C. J., & Manning, W. J. (2013) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.24239 · Cited by 59
Moselewski, F., O’Donnell, C. J., Achenbach, S. S., Ferencik, M., Massaro, J., Nguyen, A., Cury, R. C., Abbara, S., Jang, I., Brady, T. J., et al. (2005) · Circulation · doi:10.1161/circulationaha.104.489781 · Cited by 57
Relation of Visceral Adiposity to Circulating Natriuretic Peptides in Ambulatory Individuals
Cheng, S. C., Fox, C. S., Larson, M. G., Massaro, J. M., McCabe, E. L., Khan, A. M., Levy, D. A., Hoffmann, U., O’Donnell, C. J., Miller, K. K., et al. (2011) · The American Journal of Cardiology · doi:10.1016/j.amjcard.2011.05.033 · Cited by 56
Self-citationDissecting the Roles of MicroRNAs in Coronary Heart Disease via Integrative Genomic Analyses
Huan, T., Rong, J., Tanrıverdi, K., Meng, Q., Bhattacharya, A., McManus, D. D., Joehanes, R., Assimes, T. L., McPherson, R., Samani, N. J., et al. (2015) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/atvbaha.114.305176 · Cited by 56
Self-citationCirculating biomarkers and incident ischemic stroke in the Framingham Offspring Study
Shoamanesh, A., Preis, S. R., Beiser, A., Kase, C. S., Wolf, P. A., Vasan, R. S., Benjamin, E. J., Seshadri, S. S., & Romero, J. R. (2016) · Neurology · doi:10.1212/wnl.0000000000003115 · Cited by 55
Self-citationTsao, C. W., Preis, S. R., Peloso, G. M., Hwang, S., Kathiresan, S., Fox, C. S., Cupples, L. A., Hoffmann, U., & O’Donnell, C. J. (2012) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2012.09.007 · Cited by 54
Lee, J., Pedley, A., Hoffmann, U., Massaro, J. M., Keaney, J. F., Vasan, R. S., & Fox, C. S. (2016) · Journal of the American Heart Association · doi:10.1161/jaha.115.002545 · Cited by 53
Self-citationMurabito, J. M., Pedley, A., Massaro, J. M., Vasan, R. S., Esliger, D., Blease, S. J., Hoffman, U., & Fox, C. S. (2015) · Journal of the American Heart Association · doi:10.1161/jaha.114.001379 · Cited by 51
Self-citationINFLAMMATORY MARKERS AND THE RISK OF ALZHEIMER DISEASE: THE FRAMINGHAM STUDY
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Self-citationCirculating Adipokines and Vascular Function
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Self-citationWhole Exome Sequencing in Atrial Fibrillation
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Self-citationEffect of Phosphodiesterase Inhibition on Insulin Resistance in Obese Individuals
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Association of Parental Hypertension With Arterial Stiffness in Nonhypertensive Offspring
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Self-citationHwang, S., Onuma, O. K., Massaro, J. M., Zhang, X., Fu, Y., Hoffmann, U., Fox, C. S., & O’Donnell, C. J. (2018) · Circulation Cardiovascular Imaging · doi:10.1161/circimaging.117.006209 · Cited by 38
Bimodal Aldosterone Distribution in Low-Renin Hypertension
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Self-citationPreis, S. R., Hwang, S., Fox, C. S., Massaro, J. M., Levy, D. A., Hoffmann, U., & O’Donnell, C. J. (2009) · The American Journal of Cardiology · doi:10.1016/j.amjcard.2009.02.020 · Cited by 29
Self-citationMetabolic Predictors of Change in Vascular Function
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Self-citationConsent for genetic research in the Framingham Heart Study
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Self-citationMetabolite Signatures of Metabolic Risk Factors and their Longitudinal Changes
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Self-citationJohnson, A. D., Bhimavarapu, A., Benjamin, E. J., Fox, C. S., Levy, D. A., Jarvik, G. P., & O’Donnell, C. J. (2010) · Genetics in Medicine · doi:10.1097/gim.0b013e3181e1e2a9 · Cited by 23
Self-citationThe association between sleep-disordered breathing and aortic stiffness in a community cohort
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Metadata
- Authors
- Andersson, C., Johnson, A. D., Benjamin, E. J., Levy, D., & Vasan, R. S.
- Affiliations
- Boston University (US)
- National Institutes of Health (US)
- Corresponding author
- Andersson, Charlotte
- Vasan, Ramachandran S.
- Venue
- Nature Reviews Cardiology
- Published
- 2019-05-07
- Volume
- 16
- Issue
- 11
- Pages
- 687-698
- ISSN
- 1759-5002 (ISSN-L)
- 1759-5010
- OpenAlex
- W2944646092
- Cited by
- 305
- References
- 210
- Citations by year
- 2026: 33 · 2025: 60 · 2024: 48 · 2023: 51 · 2022: 46 · 2021: 40 · 2020: 24 · 2019: 2
- FWCI
- 5.07
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Nature Reviews Cardiology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- U.S. Department of Health and Human Services
- American Heart Association
- Evans Medical Foundation
- National Institutes of Health
- National Heart, Lung, and Blood Institute
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Health and Risk Factors
- Health Sciences › Medicine › Epidemiology › Healthcare Systems and Public Health
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Health Promotion and Cardiovascular Prevention
- Keywords
- Framingham Heart Study, coronary artery disease, cardiovascular risk factors, risk prediction algorithm, hypertension, hypercholesterolemia, left ventricular hypertrophy, subclinical cardiovascular disease, multi-omics profiling, longitudinal cohort
- MeSH terms
- Cardiovascular Diseases, Coronary Artery Disease, Data Collection, Echocardiography, Exercise Test, Humans, Longitudinal Studies, Magnetic Resonance Imaging, Manometry, Phenotype, Population Surveillance, Risk Factors, Tomography, X-Ray Computed, Genomics, History, 20th Century, History, 21st Century
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