Noordam, Raymond

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

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

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

Genomic analyses identify hundreds of variants associated with age at menarche and support a role for puberty timing in cancer risk

Study, T. L. C., Day, F. R., The InterAct Consortium, kConFab/AOCS Investigators, Endometrial Cancer Association Consortium, Ovarian Cancer Association Consortium, PRACTICAL consortium, Thompson, D. J., Helgason, H., Chasman, D. I., et al. (2017) · Nature Genetics

Hypothalamic control of reproductive hormonesGenetic Associations and Epidemiology

Cited by 587

Ageing, age-related diseases and oxidative stress: What to do next?

Luo, J., Mills, K., le Cessie, S., Noordam, R., & van Heemst, D. (2020) · Ageing Research Reviews

Antioxidant Activity and Oxidative StressExercise and Physiological Responses

Cited by 581

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

Multi-trait analysis characterizes the genetics of thyroid function and identifies causal associations with clinical implications.

Sterenborg, R. B. T. M., Steinbrenner, I., Li, Y., Bujnis, M. N., Naito, T., Marouli, E., Galesloot, T. E., Babajide, O., Andreasen, L., Astrup, A., et al. (2024) · Nature Communications

Genetic Associations and EpidemiologyThyroid Disorders and Treatments

Cited by 79

The proposed systemic thermogenic metabolites succinate and 12,13-diHOME are inversely associated with adiposity and related metabolic traits: evidence from a large human cross-sectional study

Vasan, S. K., Noordam, R., Gowri, M. S., Neville, M. J., Karpe, F., & Christodoulides, C. (2019) · Diabetologia

Adipose Tissue and MetabolismAdipokines, Inflammation, and Metabolic Diseases

Cited by 76

Type 2 diabetes partitioned polygenic scores associate with disease outcomes in 454,193 individuals across 13 cohorts

DiCorpo, D., LeClair, J., Cole, J. B., Sarnowski, C., Ahmadizar, F., Bielak, L. F., Blokstra, A., Bottinger, E. P., Chaker, L., Chen, Y.-D. I., et al. (2022) · Diabetes Care

Genetic Associations and EpidemiologyDiabetes, Cardiovascular Risks, and Lipoproteins

Cited by 66

Genetic analyses of the electrocardiographic QT interval and its components identify additional loci and pathways

Young, W. J., Lahrouchi, N., Isaacs, A., Duong, T., Foco, L., Ahmed, F., Brody, J. A., Salman, R., Noordam, R., Benjamins, J.-W., et al. (2022) · Nature Communications

Cardiac electrophysiology and arrhythmiasGenetic Associations and Epidemiology

Cited by 49

A multi-ancestry genome-wide study incorporating gene–smoking interactions identifies multiple new loci for pulse pressure and mean arterial pressure

Sung, Y. J., de las Fuentes, L., Winkler, T. W., Chasman, D. I., Bentley, A. R., Kraja, A. T., Ntalla, I., Warren, H. R., Guo, X., Schwander, K., et al. (2019) · Human Molecular Genetics

Genetic Associations and EpidemiologyBlood Pressure and Hypertension Studies

Cited by 43

Utilization patterns of antidepressants between 1991 and 2011 in a population-based cohort of middle-aged and elderly

Aarts, N., Noordam, R., Hofman, A., Tiemeier, H., Stricker, B. H., & Visser, L. E. (2014) · European Psychiatry

Mental Health Treatment and AccessTreatment of Major Depression

Cited by 31

Associations of Outdoor Temperature, Bright Sunlight, and Cardiometabolic Traits in Two European Population-Based Cohorts

Noordam, R., Ramkisoensing, A., Loh, N. Y., Neville, M. J., Rosendaal, F. R., Willems van Dijk, K., van Heemst, D., Karpe, F., Christodoulides, C., & Kooijman, S. (2019) · The Journal of Clinical Endocrinology & Metabolism

Diabetes, Cardiovascular Risks, and LipoproteinsCircadian rhythm and melatonin

Cited by 20

Apolipoprotein A-V is a potential target for treating coronary artery disease: evidence from genetic and metabolomic analyses

Ibi, D., Boot, M., Dollé, M. E. T., Jukema, J. W., Rosendaal, F. R., Christodoulides, C., Neville, M. J., Koivula, R., Rensen, P. C. N., Karpe, F., et al. (2022) · Journal of Lipid Research

Lipid metabolism and disordersLipoproteins and Cardiovascular Health

Cited by 9