The DOI matches its Crossref record; 204 of the 210 references it cites were found in a registry or an index.
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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“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]
Citations
Cites
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
Expert Panel on Detection, E. (2001) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.285.19.2486 · Cited by 26,011
Prediction of coronary heart disease using risk factor categories
Wilson, P. W. F., D’Agostino, R. B., Levy, D., Belanger, A. M., Silbershatz, H., & Kannel, W. B. (1998) · Circulation · doi:10.1161/01.cir.97.18.1837 · Cited by 9,581
Self-citationLevy, 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
Self-citationThe 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
Self-citationHubert, H. B., Feinleib, M., McNamara, P. M., & Castelli, W. P. (1983) · Circulation · doi:10.1161/01.cir.67.5.968 · Cited by 4,241
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
Plasma Homocysteine as a Risk Factor for Dementia and Alzheimer's Disease
Seshadri, S., Beiser, A., Selhub, J., Jacques, P. F., Rosenberg, I. H., D'Agostino, R. B., Wilson, P. W. F., & Wolf, P. A. (2002) · New England Journal of Medicine · doi:10.1056/nejmoa011613 · Cited by 3,237
Obesity and the risk of heart failure
Kenchaiah, S., Evans, J. C., Levy, D., Wilson, P. W. F., Benjamin, E. J., Larson, M. G., Kannel, W. B., & Vasan, R. S. (2002) · New England Journal of Medicine · doi:10.1056/nejmoa020245 · Cited by 3,093
Self-citation
Cited by
Sorted by citations
The changing landscape of atherosclerosis
Libby, P. (2021) · Nature · doi:10.1038/s41586-021-03392-8 · Cited by 2,873
Neutrophils as regulators of cardiovascular inflammation
Silvestre-Roig, C., Braster, Q., Ortega‐Gómez, A., & Soehnlein, O. (2020) · Nature Reviews Cardiology · doi:10.1038/s41569-019-0326-7 · Cited by 627
Insulin resistance and cardiovascular disease
Kosmas, C. E., Bousvarou, M. D., Kostara, C. E., Papakonstantinou, E. J., Salamou, E., & Guzman, E. (2023) · Journal of International Medical Research · doi:10.1177/03000605231164548 · Cited by 434
Epigenetic regulation in cardiovascular disease: mechanisms and advances in clinical trials
Shi, Y., Zhang, H., Huang, S., Yin, L., Wang, F., Luo, P., & Huang, H. (2022) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-022-01055-2 · Cited by 377
Pre-Analytical Factors that Affect Metabolite Stability in Human Urine, Plasma, and Serum: A Review
Stevens, V. L., Hoover, E., Wang, Y., & Zanetti, K. A. (2019) · Metabolites · doi:10.3390/metabo9080156 · Cited by 189
Digital healthcare: the future
Butcher, C. J., & Hussain, W. (2022) · Future Healthcare Journal · doi:10.7861/fhj.2022-0046 · Cited by 189
Incidence of Transient Ischemic Attack and Association With Long-term Risk of Stroke
Lioutas, V., Ivan, C. S., Himali, J. J., Aparicio, H. J., Leveille, T., Romero, J. R., Beiser, A., & Seshadri, S. S. (2021) · JAMA · doi:10.1001/jama.2020.25071 · Cited by 137
Lioutas, V., Beiser, A., Aparicio, H. J., Himali, J. J., Selim, M. H., Romero, J. R., & Seshadri, S. S. (2020) · JAMA Neurology · doi:10.1001/jamaneurol.2020.1512 · Cited by 117
Minno, A. D., Gelzo, M., Caterino, M., Costanzo, M., Ruoppolo, M., & Castaldo, G. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23095213 · Cited by 126
Exposome in ischaemic heart disease: beyond traditional risk factors
Montone, R. A., Camilli, M., Calvieri, C., Magnani, G., Bonanni, A., Bhatt, D. L., Rajagopalan, S., Crea, F., & Niccoli, G. (2024) · European Heart Journal · doi:10.1093/eurheartj/ehae001 · Cited by 118
Optimized Ensemble Learning Approach with Explainable AI for Improved Heart Disease Prediction
Mienye, I. D., & Jere, N. R. (2024) · Information · doi:10.3390/info15070394 · Cited by 118
Yoram Vodovotz, B., Barnard, N. D., Hu, F. B., Jakicic, J. M., Lianov, L. S., Loveland, D., Buysse, D. J., Szigethy, E., Finkel, T., Sowa, G., et al. (2020) · Frontiers in Medicine · doi:10.3389/fmed.2020.585744 · Cited by 116
Andersson, C., Nayor, M. G., Tsao, C. W., Levy, D. A., & Vasan, R. S. (2021) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2021.01.059 · Cited by 107
Self-citationAmini, S., Hao, B., Zhang, L., Song, M., Gupta, A., Karjadi, C., Kolachalama, V. B., Au, R., & Paschalidis, I. C. (2023) · Alzheimer's & Dementia · doi:10.1002/alz.12721 · Cited by 76
Amini, S., Hao, B., Yang, J., Karjadi, C., Kolachalama, V. B., Au, R., & Paschalidis, I. C. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.13886 · Cited by 79
Yannas, D., Frizza, F., Vignozzi, L., Corona, G., Maggi, M., & Rastrelli, G. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm10102221 · Cited by 68
Kim, J. O., Jeong, Y.-S., Kim, J. H., Lee, J., Park, D., & Kim, H.-S. (2021) · Diagnostics · doi:10.3390/diagnostics11060943 · Cited by 74
Endothelial Dysfunction in Obesity and Therapeutic Targets
Engin, A. (2024) · Advances in experimental medicine and biology · doi:10.1007/978-3-031-63657-8_17 · Cited by 78
DNA methylation and gene expression integration in cardiovascular disease
Palou-Márquez, G., Subirana, I., Nonell, L., Fernández‐Sanlés, A., & Elosúa, R. (2021) · Clinical Epigenetics · doi:10.1186/s13148-021-01064-y · Cited by 61
Goals in Nutrition Science 2020-2025
Bassaganya-Riera, J., Berry, E. M., Blaak, E. E., Burlingame, B., le Coutre, J., van Eden, W., El‐Sohemy, A., German, J. B., Knorr, D., Lacroix, C., et al. (2021) · Frontiers in Nutrition · doi:10.3389/fnut.2020.606378 · Cited by 70
Amini, S., Zhang, L., Hao, B., Gupta, A., Song, M., Karjadi, C., Lin, H., Kolachalama, V. B., Au, R., & Paschalidis, I. C. (2021) · Journal of Alzheimer s Disease · doi:10.3233/jad-210299 · Cited by 62
Aging Biomarker Consortium, Zhang, L., Guo, J., Liu, Y., Sun, S., Liu, B., Yang, Q., Tao, J., Tian, X.-L., Pu, J., et al. (2023) · Life Medicine · doi:10.1093/lifemedi/lnad033 · Cited by 60
Omotehinwa, T. O., Oyewola, D. O., & Moung, E. G. (2024) · Informatics and Health · doi:10.1016/j.infoh.2024.06.001 · Cited by 52
Human genetics and its impact on cardiovascular disease
Tada, H., Fujino, N., Hayashi, K., Kawashiri, M., & Takamura, M. (2021) · Journal of Cardiology · doi:10.1016/j.jjcc.2021.09.005 · Cited by 57
The IL-1 Family and Its Role in Atherosclerosis
González, L., Rivera, K., Andía, M. E., & Martı́nez-Rodrı́guez, G. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms24010017 · Cited by 51
Duffy, E. Y., Ashen, M. D., Blumenthal, R. S., Davis, D. M., Gulati, M., Blaha, M. J., Michos, E. D., Nasir, K., & Cainzos‐Achirica, M. (2021) · Clinical Cardiology · doi:10.1002/clc.23555 · Cited by 54
Exploring Artificial Intelligence in Anesthesia: A Primer on Ethics, and Clinical Applications
Cascella, M., Tracey, M. C., Petrucci, E., & Bignami, E. G. (2023) · Surgeries · doi:10.3390/surgeries4020027 · Cited by 47
Diabetic Cardiomyopathy: 2023 Update by the International Multidisciplinary Board of Experts
Арманович, А. А., Fogacci, F., Вачиковна, П. Н., Kakrurskiy, L., Коган, Е. А., Urazova, O. I., Kobalava, Z. D., Михалева, Л. М., Vandysheva, R. A., Zarina, G., et al. (2023) · Current Problems in Cardiology · doi:10.1016/j.cpcardiol.2023.102052 · Cited by 51
Xu, C., Zhang, P., & Cao, Z. (2022) · EClinicalMedicine · doi:10.1016/j.eclinm.2022.101329 · Cited by 43
Zhao, X., Sui, Y., Ruan, X., Wang, X., He, K., Dong, W., Qu, H., & Fang, X. (2022) · Clinical Epigenetics · doi:10.1186/s13148-022-01232-8 · Cited by 41
Diet, Pace of Biological Aging, and Risk of Dementia in the Framingham Heart Study
Thomas, A., Ryan, C. P., Caspi, A., Liu, Z., Moffitt, T. E., Sugden, K., Zhou, J., Belsky, D. W., & Gu, Y. (2024) · Annals of Neurology · doi:10.1002/ana.26900 · Cited by 45
Tragni, E., Vigna, L., Ruscica, M., Macchi, C., Casula, M., Santelia, A., Catapano, A. L., & Magni, P. (2021) · Nutrients · doi:10.3390/nu13061804 · Cited by 44
Chu, H., Chen, L., Yang, X., Qiu, X., Qiao, Z., Song, X., Zhao, E., Zhou, J., Zhang, W., Mehmood, A., et al. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.645418 · Cited by 40
Modeling genome-wide by environment interactions through omnigenic interactome networks
Wang, H., Ye, M., Fu, Y., Dong, A., Zhang, M., Feng, L., Zhu, X., Bo, W., Jiang, L., Griffin, C. H., et al. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.109114 · Cited by 40
Thomas, J., Burkhardt, H. A., Chaudhry, S., Ngo, A. D., Sharma, S., Zhang, L., Au, R., & Ghomi, R. H. (2020) · Journal of Alzheimer s Disease · doi:10.3233/jad-190783 · Cited by 40
Targeting flavonoids on modulation of metabolic syndrome
Neri-Numa, I. A., Cazarin, C. B. B., Ruiz, A. L. T. G., Paulino, B. N., Molina, G., & Pastore, G. M. (2020) · Journal of Functional Foods · doi:10.1016/j.jff.2020.104132 · Cited by 38
Serotonin‐Affecting Antidepressant Use in Relation to Platelet Reactivity
Grech, J., Chan, M. V., Ochin, C., Lachapelle, A., Thibord, F., Schneider, Z., Nkambule, B. B., Armstrong, P. C. J., de Melendez, C. W., Tucker, K. L., et al. (2021) · Clinical Pharmacology & Therapeutics · doi:10.1002/cpt.2517 · Cited by 35
Self-citationKereliuk, S. M., & Dolinsky, V. W. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23084467 · Cited by 34
“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].”
BackgroundMethodYi, Y., Luo, Q., Chen, J., Chen, Z., Aydemir, H. A., Chen, P., Tang, J., Luo, F., & Fang, Z. (2025) · Lipids in Health and Disease · doi:10.1186/s12944-025-02551-4 · Cited by 34
Unlocking the Pharmacological Potential of Myricetin Against Various Pathogenesis
Almatroodi, S. A., & Rahmani, A. H. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26094188 · Cited by 41
Inflammation in Heart Failure—Future Perspectives
Arvunescu, A. M., Ionescu, R. F., Creţoiu, S. M., Dumitrescu, S. I., Zaharia, O., & Nanea, I. T. (2023) · Journal of Clinical Medicine · doi:10.3390/jcm12247738 · Cited by 38
Li, X., Liu, X., Deng, X., & Fan, Y. (2022) · Biomedicines · doi:10.3390/biomedicines10092157 · Cited by 32
Fazel, S., Vazquez-Montes, M., Molero, Y., Runeson, B., D'Onofrio, B. M., Larsson, H., Lichtenstein, P., Walker, J., Sharpe, M., & Fanshawe, T. R. (2023) · BMJ Mental Health · doi:10.1136/bmjment-2023-300673 · Cited by 33
Scollard, P., Choi, S., Lee, M. L., Mukherjee, S., Trittschuh, E. H., Sanders, R. E., Gibbons, L. E., Joshi, P. S., Devine, S., Au, R., et al. (2023) · Neuropsychology · doi:10.1037/neu0000828 · Cited by 32
Galli, M., Abbate, A., Bonaca, M. P., Crea, F., Forte, M., Frati, G., Gaudino, M. F. L., Gibson, C. M., Gorog, D. A., Mehran, R., et al. (2026) · Nature Reviews Cardiology · doi:10.1038/s41569-026-01249-z · Cited by 41
Family History of Modifiable Risk Factors and Association With Future Cardiovascular Disease
TAYLOR, C. N., Wang, D., Larson, M. G., Lau, E. S., Benjamin, E. J., D’Agostino, R. B., Vasan, R. S., Levy, D. A., Cheng, S. C., & Ho, J. E. (2023) · Journal of the American Heart Association · doi:10.1161/jaha.122.027881 · Cited by 34
Self-citationDrugs for dyslipidaemia: the legacy effect of the Scandinavian Simvastatin Survival Study (4S)
Strandberg, T. E., Kovanen, P. T., Lloyd‐Jones, D. M., Raal, F. J., Santos, R. D., & Watts, G. F. (2024) · The Lancet · doi:10.1016/s0140-6736(24)02089-0 · Cited by 29
Zuo, S., Wang, G., Han, Q., Xiao, H., Santos, H. O., Rodriguez, D. A., Khani, V., & Tang, J. (2020) · Complementary Therapies in Medicine · doi:10.1016/j.ctim.2020.102450 · Cited by 29
Neytchev, O., Erlandsson, H., Witasp, A., Nordfors, L., Qureshi, A. R., Iseri, K., Morohoshi, H., Selman, C., Ebert, T., Kublickiene, K. R., et al. (2023) · Journal of Internal Medicine · doi:10.1111/joim.13724 · Cited by 30
A Novel BrainHealth Index Prototype Improved by Telehealth-Delivered Training During COVID-19
Chapman, S. B., Fratantoni, J. M., Robertson, I. H., D’Esposito, M., Ling, G. S. F., Zientz, J., Vernon, S., Venza, E. E., Cook, L. G., Tate, A., et al. (2021) · Frontiers in Public Health · doi:10.3389/fpubh.2021.641754 · Cited by 29
Sun, J., Xie, Z., Wu, Y., Liu, X., Ma, J., Dong, Y., Liu, C., Ye, M., & Zhu, W. (2023) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2023.07.011 · Cited by 29
Bontempo, P., Capasso, L., Masi, L. D., Nebbioso, A., & Rigano, D. (2024) · Nutrients · doi:10.3390/nu16152399 · Cited by 29
Paljärvi, T., Herttua, K., Taipale, H. T., Lähteenvuo, M., Tanskanen, A. J., Fazel, S., & Tiihonen, J. (2023) · BMJ Mental Health · doi:10.1136/bmjment-2023-300700 · Cited by 29
Shim, J. K., Bentz, M., Vasquez, E. E., Jeske, M., Saperstein, A., Fullerton, S. M., Foti, N., McMahon, C. E., & Lee, S. S. (2022) · Social Science & Medicine · doi:10.1016/j.socscimed.2022.115132 · Cited by 23
Park, J. E., JebaMercy, G., Pazhanchamy, K., Guo, X., Ngan, S. C., Liou, K. C. K., Lynn, S. E., Ng, S. S., Meng, W., Lim, S. C., et al. (2021) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2021.03.020 · Cited by 24
Gaps and opportunities in sepsis translational research
Marshall, J. C., & Leligdowicz, A. (2022) · EBioMedicine · doi:10.1016/j.ebiom.2022.104387 · Cited by 28
Neohesperidin inhibits cardiac remodeling induced by Ang II in vivo and in vitro
Zhang, J., Fu, X., Li, Y., Wen, H., Zhang, L., Liu, F., Lou, Y., Yang, Q., & Ding, Y. (2020) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2020.110364 · Cited by 24
Cruz, L. A., Bailey, J. N. C., & Crawford, D. C. (2023) · Annual Review of Biomedical Data Science · doi:10.1146/annurev-biodatasci-122220-113250 · Cited by 22
Suo, J., Gan, Y., Xie, Y., Xu, S., Wang, J., Chen, D., Chen, L., Deng, L., Feng, S., Han, J. J., et al. (2023) · Life Medicine · doi:10.1093/lifemedi/lnad045 · Cited by 23
Harmonization-Information Trade-Offs for Sharing Individual Participant Data in Biomedicine
Espin, A. T. (2022) · Harvard Data Science Review · doi:10.1162/99608f92.a9717b34 · Cited by 23
Frederiksen, T. C., Benjamin, E. J., Trinquart, L., Lin, H., Dahm, C. C., Christiansen, M. K., Jensen, H. K., Preis, S. R., & Kornej, J. (2024) · Journal of the American Heart Association · doi:10.1161/jaha.123.032226 · Cited by 22
Self-citationThe Role of Inflammation as a Preponderant Risk Factor in Cardiovascular Diseases
García, R. D., Asensio, J. A., Perdicaro, D. J., & Peral, M. D. L. Á. (2022) · Current Vascular Pharmacology · doi:10.2174/1570161120666220201160038 · Cited by 21
Petrenya, N., Hopstock, L. A., Holde, G. E., Oscarson, N., & Jönsson, B. (2022) · Journal of Periodontology · doi:10.1002/jper.22-0004 · Cited by 19
Pashek, R., Nkambule, B. B., Chan, M. V., Thibord, F., Lachapelle, A., Cunha, J., Chen, M., & Johnson, A. D. (2023) · International Journal of Epidemiology · doi:10.1093/ije/dyad099 · Cited by 19
Self-citationEconomic evaluation of nutrition interventions: Does one size fit all?
Fattore, G., Federici, C., Drummond, M., Mazzocchi, M., Detzel, P., Hutton, Z. V., & Shankar, B. (2021) · Health Policy · doi:10.1016/j.healthpol.2021.06.009 · Cited by 23
The characteristics of risk factors in Chinese young women with acute coronary syndrome
Liu, R., Xu, F., Zhou, Y., & Liu, T. (2020) · BMC Cardiovascular Disorders · doi:10.1186/s12872-020-01577-z · Cited by 18
Leming, M., Das, S., & Im, H. (2022) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2022.102309 · Cited by 20
Choi, J. Y., Kim, J. Y., Kwon, H., Choi, H. J., Kim, S. H., Kim, S., Lee, J. B., & Park, J. E. (2022) · Scientific Reports · doi:10.1038/s41598-022-25654-9 · Cited by 18
Cardiovascular disease in children with chronic kidney disease
Kouri, A. M., & Rheault, M. N. (2021) · Current Opinion in Nephrology & Hypertension · doi:10.1097/mnh.0000000000000684 · Cited by 18
Kokubo, Y., Watanabe, M., Higashiyama, A., & Honda-Kohmo, K. (2020) · Journal of Atherosclerosis and Thrombosis · doi:10.5551/jat.ed134 · Cited by 18
Alcohol consumption and epigenetic age acceleration across human adulthood
Wang, M., Li, Y., Lai, M. M., Nannini, D. R., Hou, L., Joehanes, R., Huan, T., Levy, D. A., Ma, J., & Liu, C. (2023) · Aging · doi:10.18632/aging.205153 · Cited by 17
Self-citationObstructive Sleep Apnea, Platelet Aggregation, and Cardiovascular Risk
Kovbasyuk, Z., Ramos‐Cejudo, J., Parekh, A., Bubu, O. M., Ayappa, I. A., Varga, A. W., Chen, M., Johnson, A. D., Gutiérrez‐Jiménez, E., Rapoport, D. M., et al. (2024) · Journal of the American Heart Association · doi:10.1161/jaha.123.034079 · Cited by 17
Self-citationRisk factor-based subphenotyping of heart failure in the community
Andersson, C., Lyass, A., Xanthakis, V., Larson, M. G., Mitchell, G. F., Cheng, S. C., & Vasan, R. S. (2019) · PLoS ONE · doi:10.1371/journal.pone.0222886 · Cited by 17
Self-citationMehrabani-Zeinabad, K., Feizi, A., Sadeghi, M., Roohafza, H., Talaei, M., & Sarrafzadegan, N. (2023) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-023-02169-5 · Cited by 20
Matching science to reality: how to deploy a participant-driven digital brain health platform
Anda‐Duran, I. D., Hwang, P. H., Popp, Z., Low, S., Ding, H., Rahman, S., Igwe, A., Kolachalama, V. B., Lin, H., & Au, R. (2023) · Frontiers in Dementia · doi:10.3389/frdem.2023.1135451 · Cited by 14
Chen, T., Chen, T., Xu, W., Liang, S., Xu, F., Liang, D., Li, X., Zeng, C., Xie, G., & Liu, Z. (2024) · Clinical Journal of the American Society of Nephrology · doi:10.2215/cjn.0000000000000471 · Cited by 21
Recent advances in data-driven fusion of multi-modal imaging and genomics for precision medicine
Wang, S., Liu, M., Li, Y., Zhang, X., Sun, M., Wang, Z., Li, R., Li, Q., Li, Q., He, Y., et al. (2024) · Information Fusion · doi:10.1016/j.inffus.2024.102738 · Cited by 19
Huang, Y.-T., Ho, L., Hsu, H., Tu, Y., & Chien, K. (2022) · Frontiers in Pharmacology · doi:10.3389/fphar.2022.832614 · Cited by 15
Arena, R. A., Pronk, N. P., Laddu, D., Faghy, M. A., Bond, S., & Lavie, C. J. (2023) · Progress in Cardiovascular Diseases · doi:10.1016/j.pcad.2023.02.010 · Cited by 15
Naguib, Y. M., Samaka, R. M., Rizk, M. S., Ameen, O., & Motawea, S. M. (2021) · Cardiovascular Diabetology · doi:10.1186/s12933-021-01259-w · Cited by 19
Chronic kidney disease and dementia: an epidemiological perspective
Ikram, M. A. (2025) · Nature Reviews Nephrology · doi:10.1038/s41581-025-00967-w · Cited by 17
Fazel, S., Sariaslan, A., & Fanshawe, T. R. (2022) · European Journal on Criminal Policy and Research · doi:10.1007/s10610-022-09520-y · Cited by 21
Fan, P., Zhang, S., Wang, W., Yang, Z., Tan, W., Li, S., Zhu, C., Hu, D., Zhou, X., Tian, Z., et al. (2022) · Frontiers in Public Health · doi:10.3389/fpubh.2022.996169 · Cited by 14
Alcohol consumption as a socially contagious phenomenon in the Framingham Heart Study social network
van den Ende, M. W. J., van der Maas, H. L. J., Epskamp, S., & Lees, M. (2024) · Scientific Reports · doi:10.1038/s41598-024-54155-0 · Cited by 18
Boutilier, J. J., & Chan, T. C. Y. (2023) · INFORMS Transactions on Education · doi:10.1287/ited.2021.0256 · Cited by 15
Wang, K., Guo, K., Ji, Z., Liu, Y., Chen, F., Wu, S., Zhang, Q., Yao, Y., & Zhou, Q. (2022) · The Journal of Prevention of Alzheimer s Disease · doi:10.14283/jpad.2022.62 · Cited by 13
Wang, C., Shi, Z., Li, Y., Xia, X., Kuang, X., Qian, S., Xue, L., Lan, L., Wu, Y., Zhang, N., et al. (2023) · Phenomics · doi:10.1007/s43657-022-00083-w · Cited by 13
M6A modification in cardiovascular disease: With a focus on programmed cell death
Li, W., Liu, Y., Xu, R., Zong, Y., He, L., Hu, J., & Li, G. (2023) · Genes & Diseases · doi:10.1016/j.gendis.2023.05.023 · Cited by 12
Blood DNA methylation signature for incident dementia: Evidence from longitudinal cohorts
Zhang, W., Young, J. I., Gomez, L., Schmidt, M. A., Lukacsovich, D., Kunkle, B. W., Chen, X. S., Martin, E. R., & Wang, L. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.14496 · Cited by 14
Lara-Abelenda, F. J., Chushig-Muzo, D., Peiro-Corbacho, P., Gómez-Martínez, V., Wägner, A. M., Granja, C., & Soguero-Ruíz, C. (2025) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2025.104821 · Cited by 18
Examine the public health impacts of functional somatic disorders using the DanFunD study
Jørgensen, T., Dantoft, T. M., Petersen, M. W., Benros, M. E., Poulsen, C. H., Eplov, L. F., Gormsen, L. K., Frostholm, L., Carstensen, T. B. W., Eliasen, M., et al. (2022) · Scandinavian Journal of Public Health · doi:10.1177/14034948221122886 · Cited by 13
Dhaynaut, M., Grashow, R. G., Normandin, M. D., Wu, O., Marengi, D. A., Terry, D. P., Sanchez, J. S., Weisskopf, M. G., Speizer, F. E., Taylor, H. A., et al. (2023) · Journal of Neurotrauma · doi:10.1089/neu.2022.0454 · Cited by 13
Cardiovascular Disease in Anti-neutrophil Cytoplasm Antibody-Associated Vasculitis
Sayer, M., Chapman, G. B., Thomas, M., & Dhaun, N. (2023) · Current Rheumatology Reports · doi:10.1007/s11926-023-01123-8 · Cited by 13
Pineda‐Moncusí, M., Elhussein, L., Delmestri, A., Cooper, C. C., Moayyeri, A., Libanati, C. R., Tóth, E., Prieto‐Alhambra, D., & Khalid, S. (2020) · Journal of Bone and Mineral Research · doi:10.1002/jbmr.4648 · Cited by 13
Gene Regulatory Networks in Coronary Artery Disease
Cheng, J. Y., Cheng, M., Lusis, A. J., & Yang, X. (2023) · Current Atherosclerosis Reports · doi:10.1007/s11883-023-01170-7 · Cited by 11
Using psychosis biotypes and the Framingham model for parsing psychosis biology
Tamminga, C. A., Pearlson, G. D., Gershon, E. S., Keedy, S., Hudgens‐Haney, M. E., Ivleva, E. I., Parker, D., McDowell, J. E., & Clementz, B. A. (2022) · Schizophrenia Research · doi:10.1016/j.schres.2022.01.018 · Cited by 10
Chen, G., Shriner, D., Zhang, J., Zhou, J., Adikaram, P. R., Doumatey, A. P., Bentley, A. R., Adeyemo, A., & Rotimi, C. N. (2022) · PLoS ONE · doi:10.1371/journal.pone.0269378 · Cited by 11
Clarke, G. D., Li, J., Kuo, A. H., Moody, A. J., & Nathanielsz, P. W. (2020) · Journal of Developmental Origins of Health and Disease · doi:10.1017/s2040174420001233 · Cited by 12
Almidani, L., Sabharwal, J., Shahidzadeh, A., Martinez, A. D. C., Ting, S. J., Vaidya, B., Jiang, X., Kowalczyk, T., Beiser, A., Sobrin, L., et al. (2024) · Ophthalmology Science · doi:10.1016/j.xops.2024.100549 · Cited by 10
Yuda, E., Kaneko, I., & Hirahara, D. (2025) · Applied Sciences · doi:10.3390/app15158671 · Cited by 12
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
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
