Kee, Frank

Defining the role of common variation in the genomic and biological architecture of adult human height

The Electronic Medical Records and Genomics (eMERGE) Consortium, Wood, A. R., The MIGen Consortium, The PAGE Consortium, Study, T. L. C., Esko, T., Yang, J., Vedantam, S., Pers, T. H., Gustafsson, S., et al. (2014) · Nature Genetics

Genetic Associations and EpidemiologyGenetics and Physical Performance

Cited by 1,853

SCORE2 risk prediction algorithms: new models to estimate 10-year risk of cardiovascular disease in Europe

SCORE2 working group and ESC Cardiovascular risk collaboration, Hageman, S., Pennells, L., Ojeda, F., Kaptoge, S., Kuulasmaa, K., de Vries, T., Xu, Z., Kee, F., Chung, R., et al. (2021) · European Heart Journal

Health Promotion and Cardiovascular PreventionCardiovascular Health and Risk Factors

Cited by 1,810

Large-scale association analysis identifies new risk loci for coronary artery disease

The CARDIoGRAMplusC4D Consortium, Deloukas, P., DIAGRAM Consortium, CARDIOGENICS Consortium, MuTHER Consortium, Wellcome Trust Case Control Consortium, Kanoni, S., Willenborg, C., Farrall, M., Assimes, T. L., et al. (2013) · Nature Genetics

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 1,614

New genetic loci link adipose and insulin biology to body fat distribution

The ADIPOGen Consortium, Shungin, D., The CARDIOGRAMplusC4D Consortium, The CKDGen Consortium, The GEFOS Consortium, The GENIE Consortium, The, G. L. G. C., The, I. C. B. P., The International Endogene Consortium, Study, T. L. C., et al. (2015) · Nature

Genetic Associations and EpidemiologyAdipokines, Inflammation, and Metabolic Diseases

Cited by 1,580

The power of genetic diversity in genome-wide association studies of lipids

Graham, S. E., Clarke, S. L., Wu, K.-H. H., Kanoni, S., Zajac, G. J. M., Ramdas, S., Surakka, I., Ntalla, I., Vedantam, S., Winkler, T. W., et al. (2021) · Nature

Genetic Associations and EpidemiologyLipoproteins and Cardiovascular Health

Cited by 972

A saturated map of common genetic variants associated with human height

Yengo, L., Vedantam, S., Marouli, E., Sidorenko, J., Bartell, E., Sakaue, S., Graff, M., Eliasen, A. U., Jiang, Y., Raghavan, S., et al. (2022) · Nature

Genetic Associations and EpidemiologyGenetics and Physical Performance

Cited by 825

Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture

Berndt, S. I., Gustafsson, S., Mägi, R., Ganna, A., Wheeler, E., Feitosa, M. F., Justice, A. E., Monda, K. L., Croteau-Chonka, D. C., Day, F. R., et al. (2013) · Nature Genetics

Genetic Associations and EpidemiologyGenetics and Physical Performance

Cited by 646

Rare and low-frequency coding variants alter human adult height

Marouli, E., Graff, M., Medina-Gomez, C., Lo, K. S., Wood, A. R., Kjaer, T. R., Fine, R. S., Lu, Y., Schurmann, C., Highland, H. M., et al. (2017) · Nature

Genetic Associations and EpidemiologyGenetics and Physical Performance

Cited by 610

Rare variant in scavenger receptor BI raises HDL cholesterol and increases risk of coronary heart disease

Zanoni, P., Khetarpal, S. A., Larach, D. B., Hancock-Cerutti, W. F., Millar, J. S., Cuchel, M., DerOhannessian, S., Kontush, A., Surendran, P., Saleheen, D., et al. (2016) · Science

Cholesterol and Lipid MetabolismLipoproteins and Cardiovascular Health

Cited by 545

Adapting interventions to new contexts—The ADAPT guidance

Moore, G., Campbell, M., Copeland, L., Craig, P., Movsisyan, A., Hoddinott, P., Littlecott, H., O’Cathain, A., Pfadenhauer, L., Rehfuess, E., et al. (2021) · BMJ

Health Policy Implementation ScienceClinical practice guidelines implementation

Cited by 511

Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes

Mahajan, A., Wessel, J., Willems, S. M., Zhao, W., Robertson, N. R., Chu, A. Y., Gan, W., Kitajima, H., Taliun, D., Rayner, N. W., et al. (2018) · Nature Genetics

Genetic Associations and EpidemiologyGenomics and Rare Diseases

Cited by 442

Taking account of context in population health intervention research: guidance for producers, users and funders of research

Craig, P., Di Ruggiero, E., Frohlich, K. L., Mykhalovskiy, E., White, M., on behalf of the Canadian Institutes of Health Research (CIHR)–National Institute for Health Research (NIHR) Context Guidance Authors Group (listed alphabetically), Campbell, R., Cummins, S., Edwards, N., Hunt, K., et al. (2018)

Health Policy Implementation ScienceEvaluation and Performance Assessment

Cited by 370

Application of High-Sensitivity Troponin in Suspected Myocardial Infarction

Neumann, J. T., Twerenbold, R., Ojeda, F., Sörensen, N. A., Chapman, A. R., Shah, A. S. V., Anand, A., Boeddinghaus, J., Nestelberger, T., Badertscher, P., et al. (2019) · New England Journal of Medicine

Acute Myocardial Infarction ResearchCardiac Imaging and Diagnostics

Cited by 346

Genetic evidence of assortative mating in humans

Robinson, M. R., Kleinman, A., Graff, M., Vinkhuyzen, A. A. E., Couper, D., Miller, M. B., Peyrot, W. J., Abdellaoui, A., Zietsch, B. P., Nolte, I. M., et al. (2017) · Nature Human Behaviour

Genetic Associations and EpidemiologyGenetic and phenotypic traits in livestock

Cited by 326

Trans-ancestry meta-analyses identify rare and common variants associated with blood pressure and hypertension

CHARGE-Heart Failure Consortium, Surendran, P., EchoGen Consortium, METASTROKE Consortium, GIANT Consortium, EPIC-InterAct Consortium, Study, L. C., Wellcome Trust Case Control Consortium, Understanding Society Scientific Group, EPIC-CVD Consortium, et al. (2016) · Nature Genetics

Genetic Associations and EpidemiologyBlood Pressure and Hypertension Studies

Cited by 312

Effectiveness of physical activity interventions in achieving behaviour change maintenance in young and middle aged adults: a systematic review and meta-analysis

Murray, J. M., Brennan, S. F., French, D. P., Patterson, C. C., Kee, F., & Hunter, R. F. (2017) · Social Science & Medicine

Physical Activity and HealthBehavioral Health and Interventions

Cited by 229

Socioeconomic position, lifestyle habits and biomarkers of epigenetic aging: a multi-cohort analysis

Fiorito, G., the BIOS Consortium, the Lifepath consortium, McCrory, C., Robinson, O., Carmeli, C., Rosales, C. O., Zhang, Y., Colicino, E., Dugué, P.-A., et al. (2019) · Aging

Epigenetics and DNA MethylationHealth disparities and outcomes

Cited by 219

The Role of Adiposity in Cardiometabolic Traits: A Mendelian Randomization Analysis

Fall, T., Hägg, S., Mägi, R., Ploner, A., Fischer, K., Horikoshi, M., Sarin, A.-P., Thorleifsson, G., Ladenvall, C., Kals, M., et al. (2013) · PLoS Medicine

Genetic Associations and EpidemiologyAdipokines, Inflammation, and Metabolic Diseases

Cited by 203

Seasonality of cardiovascular risk factors: an analysis including over 230 000 participants in 15 countries

Marti-Soler, H., Gubelmann, C., Aeschbacher, S., Alves, L., Bobak, M., Bongard, V., Clays, E., de Gaetano, G., Di Castelnuovo, A., Elosua, R., et al. (2014) · Heart

Diabetes, Cardiovascular Risks, and LipoproteinsCardiovascular Health and Risk Factors

Cited by 151

Comparison of general obesity and measures of body fat distribution in older adults in relation to cancer risk: Meta-analysis of individual participant data of seven prospective cohorts in europe

Freisling, H., Arnold, M., Soerjomataram, I., O'Doherty, M. G., Ordóñez-Mena, J. M., Bamia, C., Kampman, E., Leitzmann, M., Romieu, I., Kee, F., et al. (2017) · British Journal of Cancer

Cancer Risks and FactorsObesity, Physical Activity, Diet

Cited by 145

Prognostic value of cardiovascular biomarkers in the population

Neumann, J. T., Twerenbold, R., Weimann, J., Ballantyne, C. M., Benjamin, E. J., Costanzo, S., de Lemos, J. A., deFilippi, C. R., Di Castelnuovo, A., Donfrancesco, C., et al. (2024) · JAMA

Lipoproteins and Cardiovascular HealthCardiovascular Health and Risk Factors

Cited by 125

The discrepancy between social isolation and loneliness as a clinically meaningful metric: findings from the Irish and English longitudinal studies of ageing (TILDA and ELSA)

McHugh, J., Kenny, R., Lawlor, B., Steptoe, A., & Kee, F. (2017) · International Journal of Geriatric Psychiatry

Health disparities and outcomesAging, Health, and Disability

Cited by 94

Effects of non-pharmacological interventions on loneliness among community-dwelling older adults: A systematic review, network meta-analysis, and meta-regression

Yu, D. S.-F., Li, P. W.-C., Lin, R. S.-Y., Kee, F., Chiu, A., & Wu, W. (2023) · International Journal of Nursing Studies

Health disparities and outcomesAging, Health, and Disability

Cited by 76

Loneliness and social engagement in older adults: A bivariate dual change score analysis.

McHugh Power, J. E., Steptoe, A., Kee, F., & Lawlor, B. A. (2019) · Psychology and Aging

Health disparities and outcomesAging and Gerontology Research

Cited by 63