Mägi, Reedik
University of Tartu
47 papers on CoChatORCID 0000-0002-2964-6011
Most cited papers
- Verified
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
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Parent-of-origin-specific allelic associations among 106 genomic loci for age at menarche
Study, A. O. C., Perry, J. R. B., The GENICA Network, kConFab, Study, T. L. C., The InterAct Consortium, Early Growth Genetics (EGG) Consortium, Day, F., Elks, C. E., Sulem, P., et al. (2014) · Nature
Hypothalamic control of reproductive hormonesGenetic Associations and Epidemiology
Cited by 604
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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
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DNA methylome profiling of human tissues identifies global and tissue-specific methylation patterns
Lokk, K., Modhukur, V., Rajashekar, B., Märtens, K., Mägi, R., Kolde, R., Koltšina, M., Nilsson, T. K., Vilo, J., Salumets, A., et al. (2014) · Genome Biology
Epigenetics and DNA MethylationGenomics and Chromatin Dynamics
Cited by 444
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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
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Large-scale genomic analyses link reproductive aging to hypothalamic signaling, breast cancer susceptibility and BRCA1-mediated DNA repair
The PRACTICAL Consortium, Day, F. R., kConFab Investigators, AOCS Investigators, Scotland, G., EPIC-InterAct Consortium, Study, L. C., Ruth, K. S., Thompson, D. J., Lunetta, K. L., et al. (2015) · Nature Genetics
Genetic Associations and EpidemiologyBRCA gene mutations in cancer
Cited by 402
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The impact of low-frequency and rare variants on lipid levels
ENGAGE Consortium, Surakka, I., Horikoshi, M., Mägi, R., Sarin, A.-P., Mahajan, A., Lagou, V., Marullo, L., Ferreira, T., Miraglio, B., et al. (2015) · Nature Genetics
Genetic Associations and EpidemiologyLipoproteins and Cardiovascular Health
Cited by 351
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Biomarker Profiling by Nuclear Magnetic Resonance Spectroscopy for the Prediction of All-Cause Mortality: An Observational Study of 17,345 Persons
Fischer, K., Kettunen, J., Würtz, P., Haller, T., Havulinna, A. S., Kangas, A. J., Soininen, P., Esko, T., Tammesoo, M.-L., Mägi, R., et al. (2014) · PLoS Medicine
Metabolomics and Mass Spectrometry StudiesLipoproteins and Cardiovascular Health
Cited by 344
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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
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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
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Dominance Genetic Variation Contributes Little to the Missing Heritability for Human Complex Traits
Zhu, Z., Bakshi, A., Vinkhuyzen, A. A. E., Hemani, G., Lee, S. H., Nolte, I. M., van Vliet-Ostaptchouk, J. V., Snieder, H., Esko, T., Milani, L., et al. (2015) · The American Journal of Human Genetics
Genetic Associations and EpidemiologyGenetic and phenotypic traits in livestock
Cited by 224
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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
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Genetic analysis of obstructive sleep apnoea discovers a strong association with cardiometabolic health
Strausz, S., Ruotsalainen, S., Ollila, H. M., Karjalainen, J., Kiiskinen, T., Reeve, M., Kurki, M., Mars, N., Havulinna, A. S., Luonsi, E., et al. (2021) · European Respiratory Journal
Obstructive Sleep Apnea ResearchGenetic Associations and Epidemiology
Cited by 194
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Genome-wide meta-analysis associates HLA-DQA1/DRB1 and LPA and lifestyle factors with human longevity
Joshi, P. K., Pirastu, N., Kentistou, K. A., Fischer, K., Hofer, E., Schraut, K. E., Clark, D. W., Nutile, T., Barnes, C. L. K., Timmers, P. R. H. J., et al. (2017) · Nature Communications
Genetic Associations and EpidemiologyGenetics, Aging, and Longevity in Model Organisms
Cited by 161
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Evaluating the cardiovascular safety of sclerostin inhibition using evidence from meta-analysis of clinical trials and human genetics
Bovijn, J., Krebs, K., Chen, C.-Y., Boxall, R., Censin, J. C., Ferreira, T., Pulit, S. L., Glastonbury, C. A., Laber, S., Millwood, I. Y., et al. (2020) · Science Translational Medicine
Bone health and osteoporosis researchGenetic Associations and Epidemiology
Cited by 119
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Comprehensive population-based genome sequencing provides insight into hematopoietic regulatory mechanisms
Guo, M. H., Nandakumar, S. K., Ulirsch, J. C., Zekavat, S. M., Buenrostro, J. D., Natarajan, P., Salem, R. M., Chiarle, R., Mitt, M., Kals, M., et al. (2017) · Proceedings of the National Academy of Sciences
Genetic Associations and EpidemiologyGenomics and Chromatin Dynamics
Cited by 54
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Distribution and Medical Impact of Loss-of-Function Variants in the Finnish Founder Population
Lim, E. T., Würtz, P., Havulinna, A. S., Palta, P., Tukiainen, T., Rehnström, K., Esko, T., Mägi, R., Inouye, M., Lappalainen, T., et al. (2014) · PLoS Genetics
Genetic Associations and EpidemiologyGenomics and Rare Diseases
Cited by 49
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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
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Mapping the Genetic Architecture of Gene Regulation in Whole Blood
Schramm, K., Marzi, C., Schurmann, C., Carstensen, M., Reinmaa, E., Biffar, R., Eckstein, G., Gieger, C., Grabe, H.-J., Homuth, G., et al. (2014) · PLoS ONE
Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals
Cited by 33
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Evolution of the Pygmy Phenotype: Evidence of Positive Selection from Genome-wide Scans in African, Asian, and Melanesian Pygmies
Migliano, A. B., Romero, I. G., Metspalu, M., Leavesley, M., Pagani, L., Antao, T., Huang, D.-W., Sherman, B. T., Siddle, K., Scholes, C., et al. (2013) · Human Biology
Forensic and Genetic ResearchGenetic diversity and population structure
Cited by 23
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Neandertal introgression partitions the genetic landscape of neuropsychiatric disorders and associated behavioral phenotypes
Dannemann, M., Milaneschi, Y., Yermakovich, D., Stiglbauer, V., Kariis, H. M., Krebs, K., Friese, M. A., Otte, C., Estonian Biobank Research Team, Esko, T., et al. (2022) · Translational Psychiatry
Genetic Associations and EpidemiologyPleistocene-Era Hominins and Archaeology
Cited by 23
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Genetic determinants of plasma protein levels in the Estonian population
Kalnapenkis, A., Jõeloo, M., Lepik, K., Kukuškina, V., Kals, M., Alasoo, K., Estonian Biobank Research Team, Metspalu, A., Milani, L., Nelis, M., et al. (2024) · Scientific Reports
Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals
Cited by 11
- Verified
Characterization of prevalent genetic variants in the Estonian Biobank body-mass index GWAS
Abner, E., Batool, K., Taba, N., Nikopensius, T., Läll, K., Alekseienko, A., Eriksson, A., Rämö, J., Haapaniemi, H., Kariis, H. M., et al. (2025) · Nature Communications
Genetic Associations and EpidemiologyRegulation of Appetite and Obesity
Cited by 2
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