70-year legacy of the Framingham Heart Study

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Executive Summary of the Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III)

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Prediction of coronary heart disease using risk factor categories

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Prognostic implications of echocardiographically determined left ventricular mass in the Framingham Heart study

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The Spread of Obesity in a Large Social Network over 32 Years

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Impact of Atrial Fibrillation on the Risk of Death: The Framingham Heart Study

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Obesity as an independent risk factor for cardiovascular disease: a 26-year follow-up of participants in the Framingham Heart Study.

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The natural history of congestive heart failure: the Framingham study

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Plasma Homocysteine as a Risk Factor for Dementia and Alzheimer's Disease

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Obesity and the risk of heart failure

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Genetically Predicted Causal Effects of Gut Microbiota and Gut Metabolites on Digestive Tract Cancer: A Two-Sample Mendelian Randomization Analysis

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Characteristics, Treatment, and In-Hospital Outcomes of Older Patients With STEMI Without Standard Modifiable Risk Factors

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European network for oxysterol research (ENOR): 10 th anniversary

Lizard, G., Poirot, M., & Iuliano, L. (2021) · The Journal of Steroid Biochemistry and Molecular Biology · doi:10.1016/j.jsbmb.2021.105996 · Cited by 10

Association between health literacy and Framingham risk score

Rahimi, T., Hashemi, S., Rezaei, F. M., & Aune, D. (2024) · Scientific Reports · doi:10.1038/s41598-024-63607-6 · Cited by 9

Usefulness of the corporate wellness projects in primary prevention at the population level: a study on the prevalence, awareness, and control of hypertension in the Ferrari company

Biffi, A., Gallo, G., Fernando, F., Sirico, F., Signorello, M. G., Messina, M., Manole, G., Triglione, N., & Volpe, M. (2021) · Journal of Human Hypertension · doi:10.1038/s41371-021-00528-1 · Cited by 9

Association of Loneliness with Functional Connectivity MRI, Amyloid-β PET, and Tau PET Neuroimaging Markers of Vulnerability for Alzheimer’s Disease

Zhao, A. J., Balcer, L. J., Himali, J. J., O’Donnell, A., Rahimpour, Y., DeCarli, C. S., Gonzales, M. M., Aparicio, H. J., Ramos‐Cejudo, J., Kenney, R., et al. (2024) · Journal of Alzheimer s Disease · doi:10.3233/jad-231425 · Cited by 10

Review on role of honey in disease prevention and treatment through modulation of biological activities

Rahmani, A. H., & Babiker, A. Y. (2025) · Open Life Sciences · doi:10.1515/biol-2025-1069 · Cited by 8

Region-specific gene expression and sex inform about disease susceptibility in the aorta

Romay, M. C., Ma, F., Mompeón, A., Silvestro, M., Hernandez, G. E., Salvador, J., Wang, A. L., Vandestienne, M., Bardin, N., Blot‐Chabaud, M., et al. (2025) · Nature Cardiovascular Research · doi:10.1038/s44161-025-00692-4 · Cited by 9

Integrated omics analysis of coronary artery calcifications and myocardial infarction: the Framingham Heart Study

Møller, A. L., Vasan, R. S., Levy, D. A., Andersson, C., & Lin, H. (2023) · Scientific Reports · doi:10.1038/s41598-023-48848-1 · Cited by 8

Effectiveness of multimodal participant recruitment in SPARK, a large, online longitudinal research study of autism

Daniels, A. M., Law, K., Snyder, L. G., Diehl, K., Goin‐Kochel, R. P., Feliciano, P., & Chung, W. K. (2023) · Journal of Clinical and Translational Science · doi:10.1017/cts.2023.697 · Cited by 10

The impact of chronic total occlusions in patients undergoing transcatheter aortic valve replacement: A systematic review and meta‐analysis

Will, M., Schwarz, K., Weiss, T., Leibundgut, G., Lamm, G., Vock, P., Mascherbauer, J., & Kwok, C. S. (2023) · Catheterization and Cardiovascular Interventions · doi:10.1002/ccd.30601 · Cited by 8

Data-driven microbiota biomarker discovery for personalized drug therapy of cardiovascular disease

Shen, L., Shen, K., Bai, J., Wang, J., Singla, R. K., & Shen, B. (2020) · Pharmacological Research · doi:10.1016/j.phrs.2020.105225 · Cited by 8

Apolipoprotein E E3/E4 genotype is associated with an increased risk of coronary atherosclerosis in patients with hypertension

Wei, G., Li, B., Wang, H., Chen, L., Chen, W., Chen, K., Wang, W., Wang, S., Zeng, H., Liu, Y., et al. (2024) · BMC Cardiovascular Disorders · doi:10.1186/s12872-024-04169-3 · Cited by 8

The ASAP study: association of atherosclerosis with pathobiology in a caucasian cohort—a study of 3400 autopsy reports

Jakab, A. E., Bukva, M., Maróti, Z., Kalmár, T., Raskó, I., Kereszty, É. M., Papp, V. Z., & Bereczki, C. (2024) · Scientific Reports · doi:10.1038/s41598-024-76817-9 · Cited by 7

A framework of biomarkers for adipose tissue aging: a consensus statement by the Aging Biomarker Consortium

Yu, J., Zhang, Y., Zhang, T., Bi, Y., Chen, Y., Chen, Z. L., Dai, Z., Guo, F., Guo, L., Hu, C., et al. (2025) · Life Medicine · doi:10.1093/lifemedi/lnaf027 · Cited by 8

Prediction of Atrial Fibrillation From the ECG in the Community Using Deep Learning: A Multinational Study

Brant, L. C. C., Ribeiro, A. H., Eromosele, O. '. B., Filho, M. M. P., Barreto, S. M., Duncan, B. B., Larson, M. G., Benjamin, E. J., Ribeiro, A. L. P., & Lin, H. (2025) · Circulation Arrhythmia and Electrophysiology · doi:10.1161/circep.125.013734 · Cited by 10

Altered gut microbiota mediates the association between APOE genotype and amyloid-β accumulation in middle-aged adults

Wadop, Y. N., Bernal, R., Njamnshi, W. Y., Satizábal, C. L., Beiser, A., Ruiz, A., NJAMNSHI, A. K., Vasan, R. S., Seshadri, S. S., Himali, J. J., et al. (2025) · Journal of Neurology · doi:10.1007/s00415-025-13412-6 · Cited by 10

Differential expression and significance of peripheral blood genes in coronary artery heart disease

Nong, S., Liang, D., Ma, X., Luo, C., Li, L.-C., Chen, Y.-S., & Gui, C. (2022) · Journal of Thoracic Disease · doi:10.21037/jtd-22-991 · Cited by 7

Hypomethylation of ABCG1 in peripheral blood as a potential marker for the detection of coronary heart disease

Jin, J., Zhao, X.-J., Zhu, C., Li, M., Wang, J.-X., Fan, Y., Liu, C., Shen, C., & Yang, R.-X. (2023) · Clinical Epigenetics · doi:10.1186/s13148-023-01533-6 · Cited by 6

The relationship between body mass index, anthropometric measurements and GRACE risk score in acute coronary syndrome

Arslan, N., Akbulut, G., Süleymanoğlu, M., ALATAŞ, H., & Yaprak, B. (2022) · Nutrition & Food Science · doi:10.1108/nfs-06-2022-0177 · Cited by 7

Associations of cerebral amyloid beta and tau with cognition from midlife

Gonzales, M. M., O’Donnell, A., Ghosh, S., Thibault, E. G., Tanner, J. A., Satizábal, C. L., DeCarli, C. S., Fakhri, G. E., Johnson, K. A., Beiser, A., et al. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.14060 · Cited by 6

Purpose, Partnership, and Possibilities: The Implementation of the Dog Aging Project Biobank

Mouttham, L., Castelhano, M. G., Akey, J. M., Benton, B., Borenstein, E., Castelhano, M. G., Coleman, A. E., Creevy, K. E., Crowder, K. D., Dunbar, M. D., et al. (2022) · Biomarker Insights · doi:10.1177/11772719221137217 · Cited by 6

Clinical and Histopathologic Characteristics of Pediatric Patients With Primary Membranous Nephropathy

Kouri, A. M., Caza, T. N., Beck, L. H., Misurac, J. M., Evans, M. D., Phillips, C. L., Eadon, M. T., Larsen, C. P., Andreoli, S. P., Bu, L., et al. (2023) · Kidney International Reports · doi:10.1016/j.ekir.2023.08.018 · Cited by 6

Associations of Physical Activity Engagement with Cerebral Amyloid-β and Tau from Midlife

Gonzales, M. M., Kojis, D. J., Spartano, N. L., Thibault, E. G., DeCarli, C. S., Fakhri, G. E., Johnson, K. A., Beiser, A., & Seshadri, S. S. (2024) · Journal of Alzheimer s Disease · doi:10.3233/jad-240322 · Cited by 6

Spatiotemporal changes of local hemodynamics and plaque components during atherosclerotic progression in rabbit

Li, X., Liu, X., Ye, L., Deng, X., & Fan, Y. (2022) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2022.106814 · Cited by 5

Hipertensión arterial y riesgo cardiovascular

Fernández, J. J. D., Forero, J. E. C., & González, J. P. C. (2022) · Revista Repertorio de Medicina y Cirugía · doi:10.31260/repertmedcir.01217372.1160 · Cited by 11

The Women’s Soccer Health Study: From Head to Toe

Ling, D. I., Hannafin, J. A., Prather, H., Skolnik, H., Chiaia, T. A., de Mille, P., Lewis, C. L., & CASEY, E. K. (2023) · Sports Medicine · doi:10.1007/s40279-023-01860-x · Cited by 6

Association of MRI Visible Perivascular Spaces and Neurofilament Light Chain: The Framingham Heart Study

Ekenze, O. S., Pinheiro, A., Demissie, S., Aparicio, H. J., Charidimou, A., Beiser, A., Satizábal, C. L., Kautz, T. F., DeCarli, C. S., Greenberg, S. M., et al. (2023) · Journal of Alzheimer s Disease · doi:10.3233/jad-221260 · Cited by 6

Data science and precision health care

Imoto, S., Hasegawa, T., & Yamaguchi, R. (2020) · Nutrition Reviews · doi:10.1093/nutrit/nuaa110 · Cited by 6

PROGNOSTIC SIGNIFICANCE OF BLOOD MARKER OF HYPERTROPHY– CARDIOTROPHIN-1 WHEN CARRYING DIFFERENT VARIANTS OF ITS GENE IN MEN WITH ESSENTIAL HYPERTENSION

Matokhniuk, M. O., Limanskiy, O. V., Maiko, О. V., Zhebel, V. M., Shevchuk, O. K., & Palii, I. K. (2021) · Wiadomości Lekarskie · doi:10.36740/wlek202102118 · Cited by 6

Diagnostic Ability of Peguero-Lo Presti Electrocardiographic Left Ventricular Hypertrophy Criterion in Severe Aortic Stenosis

Gamrat, A., Trojanowicz, K., Surdacki, M. A., Budkiewicz, A., Wąsińska, A., Wieczorek‐Surdacka, E., Surdacki, A., & Chyrchel, B. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm10132864 · Cited by 6

Editorial: It’s Difficult To Make Predictions, Especially About the Future: Risk Calculators Come of Age in Child Psychiatry

Dickstein, D. P. (2020) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2020.12.029 · Cited by 6

Cohort Profile: Dementia Risk Prediction Project (DRPP)

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Personalized Treatment of Patients with Coronary Artery Disease: The Value and Limitations of Predictive Models

Greco, A., & Capodanno, D. (2025) · Journal of Cardiovascular Development and Disease · doi:10.3390/jcdd12090344 · Cited by 6

Challenges and Opportunities of Genomic Approaches in Therapeutics Development

Gray, J. S., & Campbell, M. J. (2020) · Methods in molecular biology · doi:10.1007/978-1-0716-0849-4_7 · Cited by 4

Roadmap for translating results from the micronucleus assay into clinical practice: From observational studies to randomized controlled trials

Bonassi, S., & Fenech, M. F. (2021) · Mutation Research/Reviews in Mutation Research · doi:10.1016/j.mrrev.2021.108390 · Cited by 6

Neuropsychological test validation of speech markers of cognitive impairment in the Framingham Cognitive Aging Cohort

Zhang, L., Ngo, A. D., Thomas, J., Burkhardt, H. A., Parsey, C. M., Au, R., & Ghomi, R. H. (2021) · Exploration of Medicine · doi:10.37349/emed.2021.00044 · Cited by 6

The Vascular System

Slowey, C., & Nyhan, D. P. (2022) · Anesthesiology Clinics · doi:10.1016/j.anclin.2022.08.004 · Cited by 6

Application of Photodynamic Therapy in Cardiology

Wańczura, P. M., Aebisher, D., Kłosowicz, M., Myśliwiec, A., Dynarowicz, K., & Bartusik‐Aebisher, D. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25063206 · Cited by 6

An atlas on multitudinous risk factors associated with incident hypertension: comprehensive exposome-wide association and wide-angled genetic analyses

Yang, H., Jiang, Y., Guo, J., Wang, J., Ma, X., Chen, K., Yan, H., Yu, Y., & Huang, D. (2024) · European Journal of Preventive Cardiology · doi:10.1093/eurjpc/zwae236 · Cited by 5

Personalizing treatments for patients based on cardiovascular phenotyping

Leopold, J. A. (2022) · Expert Review of Precision Medicine and Drug Development · doi:10.1080/23808993.2022.2028548 · Cited by 4

Population-based epidemiology: The Glostrup Population Studies 1964–2021

Kårhus, L. L., Møllehave, L. T., Osler, M., Jørgensen, T., & Linneberg, A. R. (2022) · Scandinavian Journal of Public Health · doi:10.1177/14034948221086387 · Cited by 5

Increased Endogenous Activity of the Renin-Angiotensin System Reduces Infarct Size in the Rats with Early Angiotensin II-dependent Hypertension which Survive the Acute Ischemia/Reperfusion Injury

Husková, Z., Kikerlová, S., Sadowski, J., Alánová, P., Sedláková, L., Papoušek, F., & Neckář, J. (2021) · Frontiers in Pharmacology · doi:10.3389/fphar.2021.679060 · Cited by 5

Sugar‐Sweetened Beverage Consumption and Lipid Profile: More Evidence for Interventions

Kuklina, E. V., & Park, S. (2020) · Journal of the American Heart Association · doi:10.1161/jaha.120.015061 · Cited by 5

Who (Actually) Gets the Farm? Intergenerational Farm Succession in the United States

Haws, A., Just, D. R., & Price, J. (2023) · National Bureau of Economic Research · doi:10.3386/w31604 · Cited by 5

Different Polymorphisms of the Renin-Angiotensin-Aldosterone System Genes are Associated with Poorer Blood Pressure Control in Hypertensive Older Adults

Freire, I. V., Ribeiro, Í. J. S., Casotti, C. A., Andrade, D. M. B., Bezerra, D. D., Teixeira, J. R. B., Barbosa, A. A. L., Campos, L. C. G., & Pereira, R. (2025) · High Blood Pressure & Cardiovascular Prevention · doi:10.1007/s40292-025-00725-w · Cited by 5

Derivation of ultrasound and electrocardiogram cardiac reference ranges for Mus musculus using the collaborative cross and identification of new cardiac models

Popp, J. L., Patel, K., Cuomo, D., Lynch, R., Leung, S., Berridge, B. R., Rusyn, I., Chiu, W. A., & Threadgill, D. W. (2025) · BMC Cardiovascular Disorders · doi:10.1186/s12872-025-05156-y · Cited by 4

The 25-Year Incidence and Progression of Hearing Loss in the Framingham Offspring Study

Dillard, L. K., Ghosh, S., Dubno, J. R., Kujawa, S. G., Welling, D. B., Beiser, A., & Seshadri, S. S. (2025) · JAMA Network Open · doi:10.1001/jamanetworkopen.2025.39371 · Cited by 4

Physiology and Biomarkers for Surveillance of Occupational Lung Disease

Yates, D. H. (2023) · Seminars in Respiratory and Critical Care Medicine · doi:10.1055/s-0043-1766119 · Cited by 4

Modifiable risk factors and risk of myocardial infarction in offspring with parental disease

Møller, A. L., Larson, M. G., Xanthakis, V., Vasan, R. S., & Andersson, C. (2024) · European Journal of Preventive Cardiology · doi:10.1093/eurjpc/zwae169 · Cited by 4

Emerging trends and challenges of population-based cardiology

Anfinogenova, Y., Анатольевна, Т. И., Serebryakova, V. N., & Popov, S. V. (2020) · Сибирский журнал клинической и экспериментальной медицины · doi:10.29001/2073-8552-2019-34-4-24-38 · Cited by 4

Management of Ischemic Heart Disease in Pregnancy

Chavez, P., Wolfe, D. S., & Bortnick, A. E. (2021) · Current Atherosclerosis Reports · doi:10.1007/s11883-021-00944-1 · Cited by 4

Monitoring, Evaluation, and Disease Surveillance for Cardiovascular Surgical Disease

Vervoort, D., Minthor, L., & Pezzella, A. T. (2021) · Sustainable development goals series · doi:10.1007/978-3-030-83864-5_9 · Cited by 4

Linkage Disequilibrium Score Statistic Regression for Identifying Novel Trait Associations

Pettit, R. W., & Amos, C. I. (2022) · Current Epidemiology Reports · doi:10.1007/s40471-022-00297-6 · Cited by 4

Causal inference on the impact of nutrition policies using observational data

Mazzocchi, M., Capacci, S., & Biondi, B. (2022) · Bio-based and Applied Economics · doi:10.36253/bae-12411 · Cited by 3

Clonal Hematopoiesis: The Emergent CVD Risk Factor

Cochran, J. D., & Walsh, K. (2024) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/atvbaha.123.319562 · Cited by 4

Long‐Term Incidence of Dementia Following Transient Ischemic Attack: A Longitudinal Cohort Study

Lioutas, V., Peloso, G. M., Romero, J. R., Aparicio, H. J., Gonzales, M. M., Werry, A. E., Himali, D., Himali, J. J., Banerjee, A., Gosh, S., et al. (2025) · Journal of the American Heart Association · doi:10.1161/jaha.124.037817 · Cited by 3

Association of Epigenetic Age Acceleration and Mitochondrial DNA ‐Based Aging Metrics Provides Insights Into Mechanisms of Aging‐Related Diseases

Wang, M., Zheng, Y., Lai, M. M., Saake, E., Liu, X., Guo, X., Taylor, K. D., Huan, T., Joehanes, R., Nannini, D. R., et al. (2025) · Aging Cell · doi:10.1111/acel.70279 · Cited by 4

The BrainHealth Project study protocol: a scalable digital approach to measuring and promoting multidimensional brain health across the lifespan

Cook, L. G., Spence, J. S., Venza, E. E., Tate, A., Robertson, I. H., D'Esposito, M., Ling, G. S. F., Wigginton, J. G., & Chapman, S. B. (2025) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2025.1678165 · Cited by 4

Family genetic designs in MoBa provide insights into health and functioning

Corfield, E. C., Shadrin, A. A., Frei, O., Rahman, Z., Akdeniz, B. C., Filiz, T. T., Lin, A., Badini, I., Hegemann, L., Athanasiu, L., et al. (2026) · Nature · doi:10.1038/s41586-026-10926-5 · Cited by 4

Machine Learning for Risk Factor Identification and Cardiovascular Mortality Prediction Among Patients with Osteoporosis

Hasheminasab, S. A., Prieto‐Alhambra, D., Pineda‐Moncusí, M., & Khalid, S. (2023) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc40787.2023.10340496 · Cited by 3

In‐Hospital Outcomes in Patients With Acute Myocardial Infarction and No Standard Modifiable Cardiovascular Risk Factors Across Varying Body Mass Index: Findings From the CCC‐ACS Project

Yang, Y., Liu, Z., Gao, F., Ma, X., Liu, J., Wang, Z. J., & the CCC‐ACS Investigators (2025) · Journal of the American Heart Association · doi:10.1161/jaha.124.037651 · Cited by 3

Hypertensive Left Ventricular Hypertrophy: Pathogenesis, Treatment, and Health Disparities

Tomlinson, S. (2025) · Hearts · doi:10.3390/hearts6030018 · Cited by 3

Measuring and increasing the brain health span across adulthood: a public health imperative

Cook, L. G., Spence, J. S., Chang, Z., Venza, E. E., Tate, A., Robertson, I. H., D’Esposito, M., Ling, G. S. F., Wigginton, J. G., & Chapman, S. B. (2026) · Scientific Reports · doi:10.1038/s41598-026-51403-3 · Cited by 3

Comparative performance of body roundness index and traditional obesity indices in predicting cardiovascular risk: machine learning insights from three prospective aging cohorts

Zhang, Y., Wang, Y., Qiao, S., Yang, X., Zhang, M., Chen, X., Wang, Y., Hu, F., & Cai, Y. (2025) · Frontiers in Endocrinology · doi:10.3389/fendo.2025.1653328 · Cited by 5

Step Count, Self-reported Physical Activity, and Predicted 5-Year Risk of Atrial Fibrillation: Cross-sectional Analysis

Shapira‐Daniels, A., Kornej, J., Spartano, N. L., Wang, X., Zhang, Y., Pathiravasan, C. H., Liu, C., Trinquart, L., Borrelli, B., McManus, D. D., et al. (2023) · Journal of Medical Internet Research · doi:10.2196/43123 · Cited by 3

Appraisal of Cardiovascular Risk Factors, Biomarkers, and Ocular Imaging in Cardiovascular Risk Prediction

Moore, J. S., Nesbit, M. A., & Moore, T. (2023) · Current Cardiology Reviews · doi:10.2174/1573403x19666230727101926 · Cited by 3

Extracellular vesicle treatment partially reverts epigenetic alterations in chronically ischemic porcine myocardium

Broadwin, M., Aghagoli, G., Sabe, S. A., Harris, D. D., Wallace, J. R., Lawson, J., Ragayendran, A., Fedulov, A. V., & Sellke, F. W. (2023) · Vessel Plus · doi:10.20517/2574-1209.2023.103 · Cited by 4

The impact of concomitant chronic total occlusion on clinical outcomes in patients undergoing transcatheter aortic valve replacement: a large single-center analysis

Will, M., Schwarz, K., Weiss, T., Leibundgut, G., Schmidt, E., Vock, P., Mousavi, R. A., Borovac, J. A., Kwok, C. S., Hoppe, U. C., et al. (2024) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2024.1338253 · Cited by 3

Obesity and the development of Parkinson’s disease within the Framingham Heart study cohort

O’Shea, S. A., Liu, Y., Liu, C., Frank, S., Shih, L. C., & Au, R. (2024) · Clinical Parkinsonism & Related Disorders · doi:10.1016/j.prdoa.2024.100291 · Cited by 3

Insights from autopsy-initiated pathological studies of the pathogenesis and clinical manifestations of atherosclerosis and ischemic heart disease: Part II. Ischemic heart disease

Buja, L. M., McDonald, M. M., Zhao, B., Narula, N., Narula, J., & Barth, R. F. (2025) · Cardiovascular Pathology · doi:10.1016/j.carpath.2025.107727 · Cited by 3

Association of Triglyceride–Glucose Body Mass Index with Target Organ Damage in Essential Hypertension: A Retrospective Cohort Study

Huang, X., Ye, J., Liu, S., Xu, Z., Pan, M., Lin, J., & Xie, L. (2025) · Journal of Clinical Hypertension · doi:10.1111/jch.70114 · Cited by 4

Atherosclerosis

Land, W. G. (2020) · Springer eBooks · doi:10.1007/978-3-030-53868-2_10 · Cited by 3

Risk Factors for Hypertension in Patients with Stroke Presenting to Tertiary Care Hospital

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Cardiovascular health program with university students based on e-TEORISC: protocol for a clinical trial

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