Trompet, Stella

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

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 4,534

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

Fine-mapping type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps

Mahajan, A., Taliun, D., Thurner, M., Robertson, N. R., Torres, J. M., Rayner, N. W., Payne, A. J., Steinthorsdottir, V., Scott, R. A., Grarup, N., et al. (2018) · Nature Genetics

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 1,744

Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits

Program, T. M. V., Evangelou, E., Warren, H. R., Mosen-Ansorena, D., Mifsud, B., Pazoki, R., Gao, H., Ntritsos, G., Dimou, N., Cabrera, C. P., et al. (2018) · Nature Genetics

Genetic Associations and EpidemiologyBlood Pressure and Hypertension Studies

Cited by 1,381

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

Efficacy and safety of statin therapy in older people: a meta-analysis of individual participant data from 28 randomised controlled trials

Armitage, J., Baigent, C., Barnes, E., Betteridge, D. J., Blackwell, L., Blazing, M., Bowman, L., Braunwald, E., Byington, R., Cannon, C., et al. (2019) · The Lancet

Lipoproteins and Cardiovascular HealthCancer, Lipids, and Metabolism

Cited by 801

Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation

Mahajan, A., Spracklen, C. N., Zhang, W., Ng, M. C. Y., Petty, L. E., Kitajima, H., Yu, G. Z., Rüeger, S., Speidel, L., Kim, Y. J., et al. (2022) · Nature Genetics

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 704

Association of LPA Variants With Risk of Coronary Disease and the Implications for Lipoprotein(a)-Lowering Therapies: A Mendelian Randomization Analysis

Burgess, S., Ference, B. A., Staley, J. R., Freitag, D. F., Mason, A. M., Nielsen, S. F., Willeit, P., Young, R., Surendran, P., Karthikeyan, S., et al. (2018) · JAMA Cardiology

Lipoproteins and Cardiovascular HealthGenetic Associations and Epidemiology

Cited by 689

Association between alcohol and cardiovascular disease: Mendelian randomisation analysis based on individual participant data

Holmes, M. V., Dale, C. E., Zuccolo, L., Silverwood, R. J., Guo, Y., Ye, Z., Prieto-Merino, D., Dehghan, A., Trompet, S., Wong, A., et al. (2014) · BMJ

Alcohol Consumption and Health EffectsGenetic Associations and Epidemiology

Cited by 669

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

Genetic drivers of heterogeneity in type 2 diabetes pathophysiology

Suzuki, K., Hatzikotoulas, K., Southam, L., Taylor, H. J., Yin, X., Lorenz, K. M., Mandla, R., Huerta-Chagoya, A., Melloni, G. E. M., Kanoni, S., et al. (2024) · Nature

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 606

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

Metabolomic profiles predict individual multidisease outcomes

Buergel, T., Steinfeldt, J., Ruyoga, G., Pietzner, M., Bizzarri, D., Vojinovic, D., Upmeier zu Belzen, J., Loock, L., Kittner, P., Christmann, L., et al. (2022) · Nature Medicine

Metabolomics and Mass Spectrometry StudiesHealth, Environment, Cognitive Aging

Cited by 406

Genetic contributions to variation in general cognitive function: a meta-analysis of genome-wide association studies in the CHARGE consortium (N=53 949)

Davies, G., Armstrong, N., Bis, J. C., Bressler, J., Chouraki, V, Giddaluru, S., Hofer, E., Ibrahim-Verbaas, C. A., Kirin, M., Lahti, J., et al. (2015) · Molecular Psychiatry

Genetic Associations and EpidemiologyCognitive Abilities and Testing

Cited by 384

A metabolic profile of all-cause mortality risk identified in an observational study of 44,168 individuals

Deelen, J., Kettunen, J., Fischer, K., van der Spek, A., Trompet, S., Kastenmüller, G., Boyd, A., Zierer, J., van den Akker, E. B., Ala-Korpela, M., et al. (2019) · Nature Communications

Metabolomics and Mass Spectrometry StudiesHealth, Environment, Cognitive Aging

Cited by 362

Causal Associations of Adiposity and Body Fat Distribution With Coronary Heart Disease, Stroke Subtypes, and Type 2 Diabetes Mellitus: A Mendelian Randomization Analysis

Dale, C. E., Fatemifar, G., Palmer, T. M., White, J., Prieto-Merino, D., Zabaneh, D., Engmann, J. E. L., Shah, T., Wong, A., Warren, H. R., et al. (2017) · Circulation

Genetic Associations and EpidemiologyCardiovascular Disease and Adiposity

Cited by 345

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

Novel genetic loci associated with hippocampal volume

Hibar, D. P., Adams, H. H. H., Jahanshad, N., Chauhan, G., Stein, J. L., Hofer, E., Renteria, M. E., Bis, J. C., Arias-Vasquez, A., Ikram, M. K., et al. (2017) · Nature Communications

Genetic Associations and EpidemiologyMemory and Neural Mechanisms

Cited by 299

Pravastatin and cognitive function in the elderly. Results of the PROSPER study

Trompet, S., Vliet, P., Craen, A. J. M., Jolles, J., Buckley, B. M., Murphy, M. B., Ford, I., Macfarlane, P. W., Sattar, N., Packard, C. J., et al. (2010) · Journal of Neurology

Lipoproteins and Cardiovascular HealthDementia and Cognitive Impairment Research

Cited by 291

KLB is associated with alcohol drinking, and its gene product β-Klotho is necessary for FGF21 regulation of alcohol preference

Schumann, G., Liu, C., O’Reilly, P., Gao, H., Song, P., Xu, B., Ruggeri, B., Amin, N., Jia, T., Preis, S., et al. (2016) · Proceedings of the National Academy of Sciences

Fibroblast Growth Factor ResearchNeurotransmitter Receptor Influence on Behavior

Cited by 241

Subclinical Thyroid Dysfunction and the Risk of Heart Failure in Older Persons at High Cardiovascular Risk

Nanchen, D., Gussekloo, J., Westendorp, R. G. J., Stott, D. J., Jukema, J. W., Trompet, S., Ford, I., Welsh, P., Sattar, N., Macfarlane, P. W., et al. (2012) · The Journal of Clinical Endocrinology & Metabolism

Thyroid Disorders and TreatmentsHeart Failure Treatment and Management

Cited by 211

Integrating genetic, transcriptional, and functional analyses to identify 5 novel genes for atrial fibrillation

Sinner, M. F., Tucker, N. R., Lunetta, K. L., Ozaki, K., Smith, J. G., Trompet, S., Bis, J. C., Lin, H., Chung, M. K., Nielsen, J. B., et al. (2014) · Circulation

Cardiac electrophysiology and arrhythmiasAtrial Fibrillation Management and Outcomes

Cited by 205

Body fat distribution, in particular visceral fat, is associated with cardiometabolic risk factors in obese women

Elffers, T. W., de Mutsert, R., Lamb, H. J., de Roos, A., Willems van Dijk, K., Rosendaal, F. R., Jukema, J. W., & Trompet, S. (2017) · PLOS ONE

Cardiovascular Disease and AdiposityDiabetes, Cardiovascular Risks, and Lipoproteins

Cited by 167