Esko, Tõnu

Identifying gene targets for brain-related traits using transcriptomic and methylomic data from blood

Qi, T., Wu, Y., Zeng, J., Zhang, F., Xue, A., Jiang, L., Zhu, Z., Kemper, K., Yengo, L., Zheng, Z., et al. (2018) · Nature Communications

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 427

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

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

Meta-analysis of genome-wide association studies for neuroticism, and the polygenic association with major depressive disorder

de Moor, M. H. M., van den Berg, S. M., Verweij, K. J. H., Krueger, R. F., Luciano, M., Arias Vasquez, A., Matteson, L. K., Derringer, J., Esko, T., Amin, N., et al. (2015) · JAMA Psychiatry

Genetic Associations and EpidemiologyNeurotransmitter Receptor Influence on Behavior

Cited by 345

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

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

Mendelian randomization integrating GWAS and eQTL data reveals genetic determinants of complex and clinical traits.

Porcu, E., Rüeger, S., Lepik, K., eQTLGen Consortium, Agbessi, M., Ahsan, H., Alves, I., Andiappan, A., Arindrarto, W., Awadalla, P., et al. (2019) · Nature Communications

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 322

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

Genome-wide association and genetic functional studies identify autism susceptibility candidate 2 gene ( AUTS2 ) in the regulation of alcohol consumption

Schumann, G., Coin, L. J., Lourdusamy, A., Charoen, P., Berger, K. H., Stacey, D., Desrivières, S., Aliev, F. A., Khan, A. A., Amin, N., et al. (2011) · Proceedings of the National Academy of Sciences

Genetic Associations and EpidemiologyNeurotransmitter Receptor Influence on Behavior

Cited by 264

Common genetic variants associated with cognitive performance identified using the proxy-phenotype method

Rietveld, C. A., Esko, T., Davies, G., Pers, T. H., Turley, P., Benyamin, B., Chabris, C. F., Emilsson, V., Johnson, A. D., Lee, J. J., et al. (2014) · Proceedings of the National Academy of Sciences

Genetic Associations and EpidemiologyCognitive Abilities and Testing

Cited by 258

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

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

Hidden heritability due to heterogeneity across seven populations

Tropf, F. C., Lee, S. H., Verweij, R. M., Stulp, G., van der Most, P. J., de Vlaming, R., Bakshi, A., Briley, D. A., Rahal, C., Hellpap, R., et al. (2017) · Nature Human Behaviour

Genetic Associations and EpidemiologyGenetic and phenotypic traits in livestock

Cited by 180

Integrated analysis of environmental and genetic influences on cord blood DNA methylation in new-borns

Czamara, D., Eraslan, G., Page, C. M., Lahti, J., Lahti-Pulkkinen, M., Hämäläinen, E., Kajantie, E., Laivuori, H., Villa, P. M., Reynolds, R. M., et al. (2019) · Nature Communications

Epigenetics and DNA MethylationBirth, Development, and Health

Cited by 143

Pathogenic implications for autoimmune mechanisms derived by comparative eQTL analysis of CD4+ versus CD8+ T cells

Kasela, S., Kisand, K., Tserel, L., Kaleviste, E., Remm, A., Fischer, K., Esko, T., Westra, H.-J., Fairfax, B. P., Makino, S., et al. (2017) · PLOS Genetics

Genetic Associations and EpidemiologyT-cell and B-cell Immunology

Cited by 113

Genetic and In Vitro Inhibition of PCSK9 and Calcific Aortic Valve Stenosis

Perrot, N., Valerio, V., Moschetta, D., Boekholdt, S. M., Dina, C., Chen, H. Y., Abner, E., Martinsson, A., Manikpurage, H. D., Rigade, S., et al. (2020) · JACC: Basic to Translational Science

Cardiac Valve Diseases and TreatmentsDermatological and Skeletal Disorders

Cited by 91

The association between lower educational attainment and depression owing to shared genetic effects? Results in ~25 000 subjects

Peyrot, W. J., Lee, S. H., Milaneschi, Y., Abdellaoui, A., Byrne, E. M., Esko, T., de Geus, E. J. C., Hemani, G., Hottenga, J. J., Kloiber, S., et al. (2015) · Molecular Psychiatry

Genetic Associations and EpidemiologyNeurotransmitter Receptor Influence on Behavior

Cited by 84

Whole-Exome Sequencing Identifies Loci Associated with Blood Cell Traits and Reveals a Role for Alternative GFI1B Splice Variants in Human Hematopoiesis

Polfus, L. M., Khajuria, R. K., Schick, U. M., Pankratz, N., Pazoki, R., Brody, J. A., Chen, M.-H., Auer, P. L., Floyd, J. S., Huang, J., et al. (2016) · The American Journal of Human Genetics

Platelet Disorders and TreatmentsGenetic Associations and Epidemiology

Cited by 54

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

Educational Attainment and Personality Are Genetically Intertwined

Mõttus, R., Realo, A., Vainik, U., Allik, J., & Esko, T. (2017) · Psychological Science

Personality Traits and PsychologyGenetic Associations and Epidemiology

Cited by 50

Integrative genomic analyses identify candidate causal genes for calcific aortic valve stenosis involving tissue-specific regulation

Thériault, S., Li, Z., Abner, E., Luan, J., Manikpurage, H. D., Houessou, U., Zamani, P., Briend, M., Estonian Biobank Research Team, Boudreau, D. K., et al. (2024) · Nature Communications

Cardiac Valve Diseases and TreatmentsGenetic Associations and Epidemiology

Cited by 49

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

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

A hidden confounder for microbiome studies: medications used years before sample collection

Aasmets, O., Taba, N., Krigul, K. L., Andreson, R., Estonian Biobank Research Team, Org, E., Metspalu, M., Metspalu, A., Milani, L., & Esko, T. (2025) · mSystems

Gut microbiota and healthGastrointestinal motility and disorders

Cited by 30