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Cohort Profile: The Framingham Heart Study (FHS): overview of milestones in cardiovascular epidemiology
Open accessAbstract
The Framingham Heart Study (FHS) has conducted seminal research defining cardiovascular disease (CVD) risk factors and fundamentally shaping public health guidelines for CVD prevention over the past five decades. The success of the Original Cohort, initiated in 1948, paved the way for further epidemiological research in preventive cardiology. Due to the keen observations suggesting the role of shared familial factors in the development of CVD, in 1971 the FHS began enroling the second generation cohort, comprising the children of the Original Cohort and the spouses of the children. In 2002, the third generation cohort, comprising the grandchildren of the Original Cohort, was initiated to additionally explore genetic contributions to CVD in greater depth. Additionally, because of the predominance of White individuals of European descent in the three generations of FHS participants noted above, the Heart Study enrolled the OMNI1 and OMNI2 cohorts in 1994 and 2003, respectively, aimed to reflect the current greater racial and ethnic diversity of the town of Framingham. All FHS cohorts have been examined approximately every 2-4 years since the initiation of the study. At these periodic Heart Study examinations, we obtain a medical history and perform a cardiovascular-focused physical examination, 12-lead electrocardiography, blood and urine samples testing and other cardiovascular imaging studies reflecting subclinical disease burden.The FHS has continually evolved along the cutting edge of cardiovascular science and epidemiological research since its inception. Participant studies now additionally include study of cardiovascular imaging, serum and urine biomarkers, genetics/genomics, proteomics, metabolomics and social networks. Numerous ancillary studies have been established, expanding the phenotypes to encompass multiple organ systems including the lungs, brain, bone and fat depots, among others. Whereas the FHS was originally conceived and designed to study the epidemiology of cardiovascular disease, it has evolved over the years with staggering expanded breadth and depth that have far greater implications in the study of the epidemiology of a wide spectrum of human diseases. The FHS welcomes research collaborations using existing or new collection of data. Detailed information regarding the procedures for research application submission and review are available at [http://www.framinghamheartstudy.org/researchers/index.php].
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“The majority of FHS (100%)44, NLST (91%)18, PROMISE (77%)45, and ROMICAT-II (66%)46 participants were non-Hispanic whites.”
From Deep convolutional neural networks to predict cardiovascular risk from computed tomography (2021) · cites this paper as [44]
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Cites
Atrial fibrillation as an independent risk factor for stroke: the Framingham study
Wolf, P. A., Abbott, R. D., & Kannel, W. B. (1991) · Stroke · doi:10.1161/01.str.22.8.983 · Cited by 7,388
Levy, D., Garrison, R. J., Savage, D. D., Kannel, W. B., & Castelli, W. P. (1990) · New England Journal of Medicine · doi:10.1056/nejm199005313222203 · Cited by 5,699
High density lipoprotein as a protective factor against coronary heart disease
Gordon, T., Castelli, W. P., Hjortland, M. C., Kannel, W. B., & Dawber, T. R. (1977) · The American Journal of Medicine · doi:10.1016/0002-9343(77)90874-9 · Cited by 5,059
The Spread of Obesity in a Large Social Network over 32 Years
Christakis, N. A., & Fowler, J. H. (2007) · New England Journal of Medicine · doi:10.1056/nejmsa066082 · Cited by 5,007
Impact of Atrial Fibrillation on the Risk of Death: The Framingham Heart Study
Benjamin, E. J., Wolf, P. A., D’Agostino, R. B., Silbershatz, H., Kannel, W. B., & Levy, D. (1998) · Circulation · doi:10.1161/01.cir.98.10.946 · Cited by 4,575
Genetic studies of body mass index yield new insights for obesity biology
Study, T. L. C., Locke, A. E., The ADIPOGen Consortium, The AGEN-BMI Working Group, The CARDIOGRAMplusC4D Consortium, The CKDGen Consortium, The, G. L. G. C., The, I. C. B. P., The MAGIC Investigators, The MuTHER Consortium, et al. (2015) · Nature · doi:10.1038/nature14177 · Cited by 4,534
Hubert, H. B., Feinleib, M., McNamara, P. M., & Castelli, W. P. (1983) · Circulation · doi:10.1161/01.cir.67.5.968 · Cited by 4,241
Biological, clinical and population relevance of 95 loci for blood lipids
Teslovich, T. M., Musunuru, K., Smith, A. V., Edmondson, A. C., Stylianou, I. M., Koseki, M., Pirruccello, J. P., Ripatti, S., Chasman, D. I., Willer, C. J., et al. (2010) · Nature · doi:10.1038/nature09270 · Cited by 3,487
The natural history of congestive heart failure: the Framingham study
McKee, P. A., Castelli, W. P., McNamara, P. M., & Kannel, W. B. (1971) · New England Journal of Medicine · doi:10.1056/nejm197112232852601 · Cited by 3,448
Metabolite profiles and the risk of developing diabetes
Wang, T. J., Larson, M. G., Vasan, R. S., Cheng, S., Rhee, E. P., McCabe, E., Lewis, G. D., Fox, C. S., Jacques, P. F., Fernandez, C., et al. (2011) · Nature Medicine · doi:10.1038/nm.2307 · Cited by 3,143
Self-citationDiabetes and Cardiovascular Disease: The Framingham Study
Kannel, W. B. (1979) · JAMA · doi:10.1001/jama.1979.03290450033020 · Cited by 2,936
Benjamin, E. J. (1994) · JAMA · doi:10.1001/jama.1994.03510350050036 · Cited by 2,613
The collective dynamics of smoking in a large social network
Christakis, N. A., & Fowler, J. H. (2008) · New England Journal of Medicine · doi:10.1056/nejmsa0706154 · Cited by 2,390
Epidemiologic Features of Chronic Atrial Fibrillation
Kannel, W. B., Abbott, R. D., Savage, D. D., & McNamara, P. M. (1982) · New England Journal of Medicine · doi:10.1056/nejm198204293061703 · Cited by 2,304
Arterial Stiffness and Cardiovascular Events: The Framingham Heart Study
Mitchell, G. F., Hwang, S.-J., Vasan, R. S., Larson, M. G., Pencina, M. J., Hamburg, N. M., Vita, J. A., Levy, D., & Benjamin, E. J. (2010) · Circulation · doi:10.1161/circulationaha.109.886655 · Cited by 2,225
Self-citationSerum cholesterol, lipoproteins, and the risk of coronary heart disease. The Framingham study.
Kannel, W., Castelli, W., Gordon, T., & McNamara, P. M. (2020) · Annals of Internal Medicine · doi:10.7326/0003-4819-74-1-1 · Cited by 2,160
The progression from hypertension to congestive heart failure
Levy, D. (1996) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.1996.03530440037034 · Cited by 2,155 · cited 1×
“The FHS was one of the first groups to describe the incidence, prevalence and grim natural history of heart failure in the community(12,46,47) and also identified hypertension, valvular heart disease and coronary disease as key aetiologies for heart failure.(13) The advent of echocardiography made it evident that indi…”
BackgroundEpidemiological approaches to heart disease: the Framingham study
Dawber, T. R., Meadors, G. F., & Moore, F. E. (1951) · American Journal of Public Health and the Nations Health · doi:10.2105/ajph.41.3.279 · Cited by 2,148
Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk
The International Consortium for Blood Pressure Genome-Wide Association Studies (2011) · Nature · doi:10.1038/nature10405 · Cited by 2,033
Self-citationFowkes, F. G. R., Murray, G. D., Butcher, I., Heald, C. L., Lee, R. J., Chambless, L. E., Folsom, A. R., Hirsch, A. T., Dramaix, M., DeBacker, G., et al. (2008) · JAMA · doi:10.1001/jama.300.2.197 · Cited by 1,870
Survival after the onset of congestive heart failure in Framingham Heart Study subjects.
Ho, K. K. L., Anderson, K. M., Kannel, W. B., Grossman, W., & Levy, D. A. (1993) · Circulation · doi:10.1161/01.cir.88.1.107 · Cited by 1,865
KANNEL, W. B., DAWBER, T. R., KAGAN, A., REVOTSKIE, N., & STOKES, J. (1961) · Annals of Internal Medicine · doi:10.7326/0003-4819-55-1-33 · Cited by 1,837
Probability of stroke: a risk profile from the Framingham Study.
Wolf, P. A., D'Agostino, R. B., Belanger, A. J., & Kannel, W. B. (1991) · Stroke · doi:10.1161/01.str.22.3.312 · Cited by 1,782
Impact of Reduced Heart Rate Variability on Risk for Cardiac Events: The Framingham Heart Study
Tsuji, H., Larson, M. G., Venditti, F. J., Manders, E. S., Evans, J. C., Feldman, C. L., & Levy, D. (1996) · Circulation · doi:10.1161/01.cir.94.11.2850 · Cited by 1,762
Schnabel, R. B., Yin, X., Gona, P., Larson, M. G., Beiser, A. S., McManus, D. D., Newton-Cheh, C., Lubitz, S. A., Magnani, J. W., Ellinor, P. T., et al. (2015) · The Lancet · doi:10.1016/s0140-6736(14)61774-8 · Cited by 1,746
Self-citationAN INVESTIGATION OF CORONARY HEART DISEASE IN FAMILIES
Kannel, W. B., Feinleib, M., McNAMARA, P. M., Garrison, R. J., & Castelli, W. P. (1979) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a112813 · Cited by 1,639
Epidemiologic assessment of chronic atrial fibrillation and risk of stroke: The fiamingham Study
Wolf, P. A., Dawber, T. R., Thomas, H. E., & Kannel, W. B. (1978) · Neurology · doi:10.1212/wnl.28.10.973 · Cited by 1,526
Changes in Arterial Stiffness and Wave Reflection With Advancing Age in Healthy Men and Women
Mitchell, G. F., Parise, H., Benjamin, E. J., Larson, M. G., Keyes, M. J., Vita, J. A., Vasan, R. S., & Levy, D. A. (2004) · Hypertension · doi:10.1161/01.hyp.0000128420.01881.aa · Cited by 1,507
Self-citationCommon 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
Self-citationCongestive heart failure in subjects with normal versus reduced left ventricular ejection fraction
Vasan, R. S., Larson, S., Benjamin, E. J., Evans, J. C., Reiss, C. K., & Levy, D. (1999) · Journal of the American College of Cardiology · doi:10.1016/s0735-1097(99)00118-7 · Cited by 1,331
Self-citationAnderson, K. M. (1987) · JAMA · doi:10.1001/jama.257.16.2176 · Cited by 1,071
Genetic Associations with Valvular Calcification and Aortic Stenosis
Thanassoulis, G., Campbell, C. Y., Owens, D. S., Smith, J. G., Smith, A. V., Peloso, G. M., Kerr, K. F., Pechlivanis, S., Budoff, M. J., Harris, T. B., et al. (2013) · New England Journal of Medicine · doi:10.1056/nejmoa1109034 · Cited by 1,008
Systolic versus diastolic blood pressure and risk of coronary heart disease
Kannel, W. B., Gordon, T., & Schwartz, M. J. (1971) · The American Journal of Cardiology · doi:10.1016/0002-9149(71)90428-0 · Cited by 925
Predicting the 30-Year Risk of Cardiovascular Disease
Pencina, M. J., D’Agostino, R. B., Larson, M. G., Massaro, J. M., & Vasan, R. S. (2009) · Circulation · doi:10.1161/circulationaha.108.816694 · Cited by 885
Self-citationSplansky, G. L., Corey, D., Yang, Q., Atwood, L. D., Cupples, L. A., Benjamin, E. J., D'Agostino, R. B., Fox, C. S., Larson, M. G., Murabito, J. M., et al. (2007) · American Journal of Epidemiology · doi:10.1093/aje/kwm021 · Cited by 860
Self-citationCigarette Smoking as a Risk Factor for Stroke
Wolf, P. A. (1988) · JAMA · doi:10.1001/jama.259.7.1025 · Cited by 845
Carotid-Wall Intima–Media Thickness and Cardiovascular Events
Polak, J. F., Pencina, M. J., Pencina, K. M., O’Donnell, C. J., Wolf, P. A., & D’Agostino, R. B. (2011) · New England Journal of Medicine · doi:10.1056/nejmoa1012592 · Cited by 829
Echocardiographically Detected Left Ventricular Hypertrophy: Prevalence and Risk Factors
Levy, D. A., Anderson, K. M., SAVAGE, D. D., Kannel, W. B., Christiansen, J. C., & Castelli, W. P. (1988) · Annals of Internal Medicine · doi:10.7326/0003-4819-108-1-7 · Cited by 819
Some health benefits of physical activity. The Framingham Study
Kannel, W. B. (1979) · Archives of Internal Medicine · doi:10.1001/archinte.139.8.857 · Cited by 783
II. Coronary Heart Disease in the Framingham Study
Dawber, T. R., Moore, F. E., & Mann, G. V. (1957) · American Journal of Public Health and the Nations Health · doi:10.2105/ajph.47.4_pt_2.4 · Cited by 718
Epidemiologic assessment of the role of blood pressure in stroke. The Framingham study
Kannel, W. B. (1970) · JAMA · doi:10.1001/jama.214.2.301 · Cited by 706
Left Ventricular Mass and Incidence of Coronary Heart Disease in an Elderly Cohort
Levy, D. A., Garrison, R. J., Savage, D. D., Kannel, W. B., & Castelli, W. P. (1989) · Annals of Internal Medicine · doi:10.7326/0003-4819-110-2-101 · Cited by 700
Intermittent Claudication: A Risk Profile From The Framingham Heart Study
Murabito, J. M., D’Agostino, R. B., Silbershatz, H., & Wilson, P. W. F. (1997) · Circulation · doi:10.1161/01.cir.96.1.44 · Cited by 696
Metabolite Profiling and Cardiovascular Event Risk
Würtz, P., Havulinna, A. S., Soininen, P., Tynkkynen, T., Prieto‐Merino, D., Tillin, T., Ghorbani, A., Artati, A., Wang, Q., Tiainen, M., et al. (2015) · Circulation · doi:10.1161/circulationaha.114.013116 · Cited by 680
Self-citationParental transmission of type 2 diabetes: the Framingham Offspring Study
Meigs, J. B., Cupples, L. A., & Wilson, P. W. (2000) · Diabetes · doi:10.2337/diabetes.49.12.2201 · Cited by 666
Exome sequencing identifies rare LDLR and APOA5 alleles conferring risk for myocardial infarction
Do, R., Stitziel, N. O., Won, H.-H., Jørgensen, A. B., Duga, S., Angelica Merlini, P., Kiezun, A., Farrall, M., Goel, A., Zuk, O., et al. (2015) · Nature · doi:10.1038/nature13917 · Cited by 650
Natural history of asymptomatic left ventricular systolic dysfunction in the community
Wang, T. J., Evans, J. C., Benjamin, E. J., Levy, D., LeRoy, E. C., & Vasan, R. S. (2003) · Circulation · doi:10.1161/01.cir.0000085166.44904.79 · Cited by 633
Self-citationGalectin-3, a Marker of Cardiac Fibrosis, Predicts Incident Heart Failure in the Community
Ho, J. E., Liu, C., Lyass, A., Courchesne, P. L., Pencina, M. J., Vasan, R. S., Larson, M. G., & Levy, D. A. (2012) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2012.04.053 · Cited by 611
Self-citationClinical Correlates and Heritability of Flow-Mediated Dilation in the Community
Benjamin, E. J., Larson, M. G., Keyes, M. J., Mitchell, G. F., Vasan, R. S., Keaney, J. F., Lehman, B. T., Fan, S., Osypiuk, E. W., & Vita, J. A. (2004) · Circulation · doi:10.1161/01.cir.0000112565.60887.1e · Cited by 608
Self-citationMetabolite Profiling Identifies Pathways Associated With Metabolic Risk in Humans
Cheng, S. C., Rhee, E. P., Larson, M. G., Lewis, G. D., McCabe, E. L., Shen, D., Palma, M. J., Roberts, L. D., Dejam, A., Souza, A. L., et al. (2012) · Circulation · doi:10.1161/circulationaha.111.067827 · Cited by 605
Self-citationRole of Blood Pressure in the Development of Congestive Heart Failure: The Framingham Study
Kannel, W. B., Castelli, W. P., McNamara, P. M., McKee, P. A., & Feinleib, M. (1972) · New England Journal of Medicine · doi:10.1056/nejm197210192871601 · Cited by 603
Prognosis after initial myocardial infarction: The Framingham study
Kannel, W. B., Sorlie, P. D., & Mcnamara, P. M. (1979) · The American Journal of Cardiology · doi:10.1016/0002-9149(79)90250-9 · Cited by 569
Prognosis of left ventricular geometric patterns in the Framingham heart study
Krumholz, H. M., Larson, M. G., & Levy, D. A. (1995) · Journal of the American College of Cardiology · doi:10.1016/0735-1097(94)00473-4 · Cited by 537
Abbott, R. D. (1988) · JAMA · doi:10.1001/jama.260.23.3456 · Cited by 500
Summary estimates of cholesterol used to predict coronary heart disease.
Castelli, W. P., Abbott, R. D., & McNamara, P. (1983) · Circulation · doi:10.1161/01.cir.67.4.730 · Cited by 473
Study, L. C., Wain, L. V., CardioGram, Verwoert, G. C., O’Reilly, P. F., Shi, G., Johnson, T., Johnson, A. D., Bochud, M., Rice, K. M., et al. (2011) · Nature Genetics · doi:10.1038/ng.922 · Cited by 434
Self-citationElevated Plasma Lipoprotein(a) and Coronary Heart Disease in Men Aged 55 Years and Younger
Bostom, A. G. (1996) · JAMA · doi:10.1001/jama.1996.03540070040028 · Cited by 406
Vasan, R. S., Larson, M. G., Benjamin, E. J., Evans, J. C., & Levy, D. (1997) · New England Journal of Medicine · doi:10.1056/nejm199705083361903 · Cited by 402
Self-citationParental history is an independent risk factor for coronary artery disease: The Framingham Study
Myers, R. H., Kiely, D. K., Cupples, L. A., & Kannel, W. B. (1990) · American Heart Journal · doi:10.1016/0002-8703(90)90216-k · Cited by 394
Premature mortality from coronary heart disease. The Framingham study
Gordon, T. (1971) · JAMA · doi:10.1001/jama.215.10.1617 · Cited by 389
Gender differences and normal left ventricular anatomy in an adult population free of hypertension
Salton, C. J., Chuang, M. L., O’Donnell, C. J., Kupka, M. J., Larson, M. G., Kissinger, K. V., Edelman, R. R., Levy, D. A., & Manning, W. J. (2002) · Journal of the American College of Cardiology · doi:10.1016/s0735-1097(02)01712-6 · Cited by 353
Evaluation of cardiovascular risk in the elderly: the Framingham study.
Kannel, W. B., & Gordan, T. (1978) · PubMed Central · Cited by 347
Prevalence and Correlates of Silent Cerebral Infarcts in the Framingham Offspring Study
Das, R. R., Seshadri, S., Beiser, A. S., Kelly-Hayes, M., Au, R., Himali, J. J., Kase, C. S., Benjamin, E. J., Polak, J. F., O'Donnell, C. J., et al. (2008) · Stroke · doi:10.1161/strokeaha.108.516575 · Cited by 324
Peloso, G. M., Auer, P. L., Bis, J. C., Voorman, A., Morrison, A. C., Stitziel, N. O., Brody, J. A., Khetarpal, S. A., Crosby, J. R., Fornage, M., et al. (2014) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2014.01.009 · Cited by 314
Singer, D. E., Nathan, D. M., Anderson, K. M., Wilson, P. W. F., & Evans, J. C. (1992) · Diabetes · doi:10.2337/diab.41.2.202 · Cited by 292
Levy, D. A., Larson, M. G., Benjamin, E. J., Newton‐Cheh, C., Wang, T. J., Hwang, S., Vasan, R. S., & Mitchell, G. F. (2007) · BMC Medical Genetics · doi:10.1186/1471-2350-8-s1-s3 · Cited by 290
Self-citationThe Natural History of Borderline Isolated Systolic Hypertension
Sagie, A., Larson, M. G., & Levy, D. A. (1993) · New England Journal of Medicine · doi:10.1056/nejm199312233292602 · Cited by 290
BLOOD PRESSURE AGGREGATION IN FAMILIES
Havlik, R. J., Garrison, R. J., Feinleib, M., Kannel, W. B., Castelli, W. P., & MCNAMARA, P. M. (1979) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a112815 · Cited by 281
Correlates of Echocardiographic Indices of Cardiac Remodeling Over the Adult Life Course
Cheng, S. C., Xanthakis, V., SULLIVAN, L. M., Lieb, W., Massaro, J. M., Aragam, J. R., Benjamin, E. J., & Vasan, R. S. (2010) · Circulation · doi:10.1161/circulationaha.110.937821 · Cited by 277
Self-citationCigarette Smoking and Coronary Heart Disease
Doyle, J. T., Dawber, T. R., Kannel, W. B., Heslin, A. S., & Kahn, H. A. (1962) · New England Journal of Medicine · doi:10.1056/nejm196204192661602 · Cited by 270
Prognostic Implications of Asymptomatic Ventricular Arrhythmias: The Framingham Heart Study
Bikkina, M., Larson, M. G., & Levy, D. (1992) · Annals of Internal Medicine · doi:10.7326/0003-4819-117-12-990 · Cited by 266
Diabetes, Intermittent Claudication, and Risk of Cardiovascular Events: The Framingham Study
Brand, F. N., Abbott, R. D., & Kannel, W. B. (1989) · Diabetes · doi:10.2337/diab.38.4.504 · Cited by 224
Visceral and Subcutaneous Fat Quality and Cardiometabolic Risk
Rosenquist, K. J., Pedley, A., Massaro, J. M., Therkelsen, K. E., Murabito, J. M., Hoffmann, U., & Fox, C. S. (2013) · JACC. Cardiovascular imaging · doi:10.1016/j.jcmg.2012.11.021 · Cited by 223
Genetic Variants Associated With Cardiac Structure and Function
Vasan, R. S., Glazer, N. L., Felix, J. F., Lieb, W., Wild, P. S., Felix, S. B., Watzinger, N., Larson, M. G., Smith, N. L., Dehghan, A., et al. (2009) · JAMA · doi:10.1001/jama.2009.978-a · Cited by 218
Self-citationLange, L. A., Hu, Y., Zhang, H., Xue, C., Schmidt, E. M., Tang, Z.-Z., Bizon, C., Lange, E. M., Smith, J. D., Turner, E. H., et al. (2014) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2014.01.010 · Cited by 212
the CARDIoGRAM Consortium, Bis, J. C., Kavousi, M., Franceschini, N., Isaacs, A., Abecasis, G. R., Schminke, U., Post, W. S., Smith, A. V., Cupples, L. A., et al. (2011) · Nature Genetics · doi:10.1038/ng.920 · Cited by 212
Longitudinal Tracking of Left Ventricular Mass Over the Adult Life Course
Lieb, W., Xanthakis, V., SULLIVAN, L. M., Aragam, J. R., Pencina, M. J., Larson, M. G., Benjamin, E. J., & Vasan, R. S. (2009) · Circulation · doi:10.1161/circulationaha.108.824243 · Cited by 203
Self-citationWessel, J., Chu, A. Y., Willems, S. M., Wang, S., Yaghootkar, H., Brody, J. A., Dauriz, M., Hivert, M., Raghavan, S., Lipovich, L., et al. (2015) · Nature Communications · doi:10.1038/ncomms6897 · Cited by 201
Sytkowski, P. A., D’Agostino, R. B., Belanger, A. J., & Kannel, W. B. (1996) · Circulation · doi:10.1161/01.cir.93.4.697 · Cited by 197
The Emerging Risk Factors Collaboration (2007) · European Journal of Epidemiology · doi:10.1007/s10654-007-9165-7 · Cited by 192
Garrison, R. J. (1983) · JAMA · doi:10.1001/jama.249.16.2199 · Cited by 179
Carotid intima-media thickness and cardiovascular events.
von Schacky, C. (2011) · PubMed · doi:10.1056/nejmc1109714 · Cited by 176
A Systems Biology Framework Identifies Molecular Underpinnings of Coronary Heart Disease
Huan, T., Zhang, B., Wang, Z., Joehanes, R., Zhu, J., Johnson, A. D., Ying, S., Munson, P. J., Raghavachari, N., Wang, R., et al. (2013) · Arteriosclerosis, Thrombosis, and Vascular Biology · doi:10.1161/atvbaha.112.300112 · Cited by 167
The Natural History of Left Ventricular Geometry in the Community
Lieb, W., Gona, P. N., Larson, M. G., Aragam, J. R., Zile, M. R., Cheng, S. C., Benjamin, E. J., & Vasan, R. S. (2014) · JACC. Cardiovascular imaging · doi:10.1016/j.jcmg.2014.05.008 · Cited by 160
Self-citationThe Framingham Study. Cigarettes and the development of intermittent claudication.
Wb, K., & Shurtleff, D. (1973) · PubMed · Cited by 153
Candidate Gene Association Resource (CARe)
Musunuru, K., Lettre, G., Young, T., Farlow, D., Pirruccello, J. P., Ejebe, K. G., Keating, B. J., Yang, Q., Chen, M., Lapchyk, N., et al. (2010) · Circulation Cardiovascular Genetics · doi:10.1161/circgenetics.109.882696 · Cited by 140
Self-citationLifetime Risk of Coronary Heart Disease by Cholesterol Levels at Selected Ages
Lloyd‐Jones, D. M., Wilson, P. W. F., Larson, M. G., Leip, E. P., Beiser, A., D’Agostino, R. B., Cleeman, J. I., & Levy, D. A. (2003) · Archives of Internal Medicine · doi:10.1001/archinte.163.16.1966 · Cited by 138
Becoming the Framingham Study 1947–1950
Oppenheimer, G. M. (2005) · American Journal of Public Health · doi:10.2105/ajph.2003.026419 · Cited by 129
Is hyperglycemia associated with cardiovascular disease? The Framingham Study
Wilson, P. W. F., Cupples, L. A., & Kannel, W. B. (1991) · American Heart Journal · doi:10.1016/0002-8703(91)90729-2 · Cited by 128
Age- and Sex-Based Reference Limits and Clinical Correlates of Myocardial Strain and Synchrony
Cheng, S. C., Larson, M. G., McCabe, E. L., Osypiuk, E. W., Lehman, B. T., Stantchev, P., Aragam, J. R., Benjamin, E. J., Solomon, S. D., & Vasan, R. S. (2013) · Circulation Cardiovascular Imaging · doi:10.1161/circimaging.112.000627 · Cited by 128
Self-citationWhole-genome sequence–based analysis of high-density lipoprotein cholesterol
Morrison, A. C., Liu, X., Li, A., Boerwinkle, E., Voorman, A., Rice, K. M., Johnson, A. D., O’Donnell, C. J., Cupples, L. A., Yu, J., et al. (2013) · Nature Genetics · doi:10.1038/ng.2671 · Cited by 126
Garrison, R. J. (1983) · JAMA · doi:10.1001/jama.1983.03330400045023 · Cited by 118
Gene Expression Signatures of Coronary Heart Disease
Joehanes, R., Ying, S., Huan, T., Johnson, A. D., Raghavachari, N., Wang, R., Liu, P., Woodhouse, K. A., Sen, S. K., Tanrıverdi, K., et al. (2013) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/atvbaha.112.301169 · Cited by 115
Mitchell, G. F., Verwoert, G. C., Tarasov, K. V., Isaacs, A. J., Smith, A. V., Yasmin, Y., Rietzschel, E. R., Tanaka, T., Liu, Y., Parsa, A., et al. (2011) · Circulation Cardiovascular Genetics · doi:10.1161/circgenetics.111.959817 · Cited by 108
Self-citationGarrison, R. J., Castelli, W. P., Feinleib, M., Kannel, W. B., Havlik, R. J., PADGETT, S. J., & MCNAMARA, P. M. (1979) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a112816 · Cited by 106
Multiple Inflammatory Biomarkers in Relation to Cardiovascular Events and Mortality in the Community
Schnabel, R. B., Yin, X., Larson, M. G., Yamamoto, J. F., Fontes, J. D., Kathiresan, S., Rong, J., Levy, D. A., Keaney, J. F., Wang, T. J., et al. (2013) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/atvbaha.112.301174 · Cited by 104
Self-citationIntegrative network analysis reveals molecular mechanisms of blood pressure regulation
Huan, T., Meng, Q., Saleh, M. A., Norlander, A. E., Joehanes, R., Zhu, J., Chen, B. H., Zhang, B., Johnson, A. D., Ying, S., et al. (2015) · Molecular Systems Biology · doi:10.15252/msb.20145399 · Cited by 102
Self-citationFat Quality and Incident Cardiovascular Disease, All-Cause Mortality, and Cancer Mortality
Rosenquist, K. J., Massaro, J. M., Pedley, A., Long, M. T., Kreger, B. E., Vasan, R. S., Murabito, J. M., Hoffmann, U., & Fox, C. S. (2014) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2013-4296 · Cited by 100
Self-citationVasan, R. S., Larson, M. G., Aragam, J. R., Wang, T. J., Mitchell, G. F., Kathiresan, S., Newton‐Cheh, C., Vita, J. A., Keyes, M. J., O’Donnell, C. J., et al. (2007) · BMC Medical Genetics · doi:10.1186/1471-2350-8-s1-s2 · Cited by 98
Self-citationNew perspectives on cardiovascular risk factors
Kannel, W. B. (1987) · American Heart Journal · doi:10.1016/0002-8703(87)90964-1 · Cited by 98
Andersson, C., Lyass, A., Larson, M. G., Spartano, N. L., Vita, J. A., Benjamin, E. J., Murabito, J. M., Esliger, D., Blease, S. J., Hamburg, N. M., et al. (2015) · Journal of the American Heart Association · doi:10.1161/jaha.114.001528 · Cited by 89
Self-citationStokes, J., & Dawber, T. R. (1959) · Annals of Internal Medicine · doi:10.7326/0003-4819-50-6-1359 · Cited by 78
Wessel, J., Chu, A. Y., Willems, S. M., Wang, S., Yaghootkar, H., Brody, J. A., Dauriz, M., Hivert, M., Raghavan, S., Lipovich, L., et al. (2015) · Carolina Digital Repository (University of North Carolina at Chapel Hill) · doi:10.17615/tme1-9982 · Cited by 74
Yao, C., Chen, B. H., Joehanes, R., Otlu, B., Zhang, X., Liu, C., Huan, T., Taştan, Ö., Cupples, L. A., Meigs, J. B., et al. (2014) · Circulation · doi:10.1161/circulationaha.114.010696 · Cited by 68
McManus, D. D., Lyass, A., Ingelsson, E., Massaro, J. M., Meigs, J. B., Aragam, J. R., Benjamin, E. J., & Vasan, R. S. (2011) · Obesity · doi:10.1038/oby.2011.32 · Cited by 68
Self-citationKaess, B. M., Enserro, D. M., McManus, D. D., Xanthakis, V., Chen, M., SULLIVAN, L. M., Ingram, C., O'Donnell, C. J., Keaney, J. F., Vasan, R. S., et al. (2012) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2012-1458 · Cited by 68
Self-citationWilker, E. H., Ljungman, P. L. S., Rice, M. B., Kloog, I., Schwartz, J. D., Gold, D. R., Koutrakis, P., Vita, J. A., Mitchell, G. F., Vasan, R. S., et al. (2014) · The American Journal of Cardiology · doi:10.1016/j.amjcard.2014.03.048 · Cited by 63
Self-citationHypertension Relationship with Other Risk Factors
Wb, K. (1986) · Drugs · doi:10.2165/00003495-198600311-00004 · Cited by 62
Tsao, 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
Self-citationThe natural history of arteriosclerosis obliterans.
Wb, K., & Shurtleff, D. (1971) · PubMed · Cited by 54
Interaction of vasopressin and prostaglandins through calcium ion in the renal circulation.
SEINO, M., Abe, K., Tsunoda, K., & YOSHINAGA, K. (1985) · Hypertension · doi:10.1161/01.hyp.7.1.53 · Cited by 24
Posner, B. M. (1993) · Archives of Internal Medicine · doi:10.1001/archinte.1993.00410130057006 · Cited by 23
Following-Up Genome-Wide Association Study Signals
Boerwinkle, E., & Heckbert, S. R. (2014) · Circulation Cardiovascular Genetics · doi:10.1161/circgenetics.113.000078 · Cited by 6
The Ankle-Brachial Index in the Elderly and Risk of Stroke, Coronary Disease, and Death
Murabito, J. M., Evans, J. C., Larson, M. G., Nieto, K., Levy, D. A., & Wilson, P. W. F. (2003) · Archives of Internal Medicine · doi:10.1001/archinte.163.16.1939 · Cited by 2
Flagged first, then by citations
4 of the 119 references couldn’t be matched to a known paper.
Research works printed but not linked: 7
- Kagan, 1959, Blood pressure and its relation to coronary heart disease in the Framingham study, Hypertension, 7, 53
- 10.1001/jama.1970.03180020021004 · DOI · Paper page
- 10.1001/jama.1987.03390160062027 · DOI
- 10.1001/jama.1988.03410230074031 · DOI
- 10.1001/archinte.1979.03630450011006 · DOI
- 10.1001/jama.1971.03180230027005 · DOI
- 10.1001/jama.1988.03720070025028 · DOI
Cited by
Sorted by citations
DunedinPACE, a DNA methylation biomarker of the pace of aging
Belsky, D. W., Caspi, A., Corcoran, D. L., Sugden, K., Poulton, R., Arseneault, L., Baccarelli, A., Chamarti, K., Gao, X., Hannon, E., et al. (2022) · eLife · doi:10.7554/elife.73420 · Cited by 1,083
Zhong, V. W., Van Horn, L., Cornelis, M. C., Wilkins, J. T., Ning, H., Carnethon, M. R., Greenland, P., Mentz, R. J., Tucker, K. L., Zhao, L., et al. (2019) · JAMA · doi:10.1001/jama.2019.1572 · Cited by 327
Genetic architecture of subcortical brain structures in 38,851 individuals
Satizábal, C. L., Adams, H. H. H., Hibar, D. P., White, C. C., Knol, M. J., Stein, J. L., Scholz, M. R., Sargurupremraj, M., Jahanshad, N., Roshchupkin, G. V., et al. (2019) · Nature Genetics · doi:10.1038/s41588-019-0511-y · Cited by 267
Deep convolutional neural networks to predict cardiovascular risk from computed tomography
Zeleznik, R., Foldyna, B., Eslami, P., Weiss, J., Alexander, I., Taron, J., Parmar, C., Alvi, R. M., Banerji, D., Uno, M., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-20966-2 · Cited by 240
Self-citationSebastiani, P., Thyagarajan, B., Sun, F., Schupf, N., Newman, A. B., Montano, M., & Perls, T. T. (2017) · Aging Cell · doi:10.1111/acel.12557 · Cited by 222
Metadata
- Authors
- Tsao, C. W., & Vasan, R. S.
- Affiliations
- Beth Israel Deaconess Medical Center (US)
- Boston University (US)
- Corresponding author
- Tsao, Connie W
- Venue
- International Journal of Epidemiology
- Publisher
- Oxford University Press (OUP)
- Published
- 2015-12
- Volume
- 44
- Issue
- 6
- Pages
- 1800-1813
- ISSN
- 0300-5771 (ISSN-L)
- 1464-3685
- PMC
- PMC5156338
- OpenAlex
- W2207219039
- Cited by
- 457
- References
- 119
- Citations by year
- 2026: 49 · 2025: 59 · 2024: 68 · 2023: 52 · 2022: 63 · 2021: 50 · 2020: 58 · 2019: 26 · 2018: 14 · 2017: 12 · 2016: 4 · 2015: 2
- FWCI
- 7.76
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- International Journal of Epidemiology (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (n01hc25195-41-0-1, 5r01hl080124-05)
- National Institute on Aging (R01AG028321, AG-028321)
- National Heart, Lung, and Blood Institute (R01-HL080124, HL-076784, 1K23 HL118259, N01‐HC25195, HHSN268201500001I, HL107385, HL 080124, HHSN268201500001C, HL077447, N01-HC-025195, R01HL118259, R01HL077447, R01HL107385, R01HL076784, HL070100, HL 060040, R01HL070100, HL071039, R01HL060040, R01HL071039)
- National Institute of Neurological Disorders and Stroke (6R01NS17950, R01NS017950)
- 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, cardiovascular risk factors, cardiovascular disease prevention, family-based cohort, racial and ethnic diversity, cardiovascular biomarkers, cardiovascular imaging, subclinical cardiovascular disease, ancillary studies, preventive cardiology
- MeSH terms
- Adolescent, Adult, Aged, Aged, 80 and over, Asian, Black or African American, Cardiovascular Diseases, Child, Child, Preschool, Diet, Echocardiography, Electrocardiography, Ethnicity, Female, Hispanic or Latino, Humans, Hypercholesterolemia, Hypertension, Longitudinal Studies, Male, Massachusetts, Middle Aged, Phenotype, Prospective Studies, Risk Factors, Tomography, X-Ray Computed, Cohort Studies, Biomarkers, Epidemiologic Studies, Hypertrophy, Left Ventricular, Age Distribution, Sex Distribution, Genetic Predisposition to Disease, White People, Overweight, Young Adult
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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.
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