Lee, James J.
University of Minnesota
16 papers on CoChatORCID 0000-0001-6547-5128
Most cited papers
- Verified
Exosome-mediated transfer of mRNAs and microRNAs is a novel mechanism of genetic exchange between cells
Valadi, H., Ekström, K., Bossios, A., Sjöstrand, M., Lee, J. J., & Lötvall, J. O. (2007) · Nature Cell Biology
Extracellular vesicles in diseaseCellular transport and secretion
Cited by 12,834
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Second-generation PLINK: rising to the challenge of larger and richer datasets
Chang, C. C., Chow, C. C., Tellier, L. C., Vattikuti, S., Purcell, S. M., & Lee, J. J. (2015) · Gigascience
Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals
Cited by 12,709
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Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals
23andMe Research Team, Lee, J. J., COGENT (Cognitive Genomics Consortium), Social Science Genetic Association Consortium, Wedow, R., Okbay, A., Kong, E., Maghzian, O., Zacher, M., Nguyen-Viet, T. A., et al. (2018) · Nature Genetics
Genetic Associations and EpidemiologyCognitive Abilities and Testing
Cited by 2,470
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Association studies of up to 1.2 million individuals yield new insights into the genetic etiology of tobacco and alcohol use
23andMe Research Team, Liu, M., Psychiatry, H. A.-I., Jiang, Y., Wedow, R., Li, Y., Brazel, D. M., Chen, F., Datta, G., Davila-Velderrain, J., et al. (2019) · Nature Genetics
Genetic Associations and EpidemiologySmoking Behavior and Cessation
Cited by 1,896
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Amyloid-β Dynamics Are Regulated by Orexin and the Sleep-Wake Cycle
Kang, J.-E., Lim, M. M., Bateman, R. J., Lee, J. J., Smyth, L. P., Cirrito, J. R., Fujiki, N., Nishino, S., & Holtzman, D. M. (2009) · Science
Alzheimer's disease research and treatmentsSleep and Wakefulness Research
Cited by 1,565
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Genome-wide association study identifies 74 loci associated with educational attainment
Okbay, A., Beauchamp, J. P., Fontana, M. A., Lee, J. J., Pers, T. H., Rietveld, C. A., Turley, P., Chen, G.-B., Emilsson, V., Meddens, S. F. W., et al. (2016) · Nature
Genetic Associations and EpidemiologyCognitive Abilities and Testing
Cited by 1,297
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Multi-trait analysis of genome-wide association summary statistics using MTAG
23andMe Research Team, Turley, P., Social Science Genetic Association Consortium, Walters, R. K., Maghzian, O., Okbay, A., Lee, J. J., Fontana, M. A., Nguyen-Viet, T. A., Wedow, R., et al. (2018) · Nature Genetics
Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals
Cited by 1,112
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Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses
Study, L. C., Okbay, A., Baselmans, B. M. L., De Neve, J.-E., Turley, P., Nivard, M. G., Fontana, M. A., Meddens, S. F. W., Linnér, R. K., Rietveld, C. A., et al. (2016) · Nature Genetics
Genetic Associations and EpidemiologyNeurotransmitter Receptor Influence on Behavior
Cited by 1,013
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Genome-wide association analyses of risk tolerance and risky behaviors in over 1 million individuals identify hundreds of loci and shared genetic influences
23and Me Research Team, Karlsson Linnér, R., eQTLgen Consortium, International Cannabis Consortium, Social Science Genetic Association Consortium, Biroli, P., Kong, E., Meddens, S. F. W., Wedow, R., Fontana, M. A., et al. (2019) · Nature Genetics
Genetic Associations and EpidemiologyNeurotransmitter Receptor Influence on Behavior
Cited by 756
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Polygenic prediction of educational attainment within and between families from genome-wide association analyses in 3 million individuals
Okbay, A., Wu, Y., Wang, N., Jayashankar, H., Bennett, M., Nehzati, S. M., Sidorenko, J., Kweon, H., Goldman, G., Gjorgjieva, T., et al. (2022) · Nature Genetics
Genetic Associations and EpidemiologyGenetic and phenotypic traits in livestock
Cited by 654
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Genome-wide association meta-analysis of 78,308 individuals identifies new loci and genes influencing human intelligence
Sniekers, S., Stringer, S., Watanabe, K., Jansen, P. R., Coleman, J. R. I., Krapohl, E., Taskesen, E., Hammerschlag, A. R., Okbay, A., Zabaneh, D., et al. (2017) · Nature Genetics
Genetic Associations and EpidemiologyCognitive Abilities and Testing
Cited by 490
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A Tale of Two Controversies
Brennan, M.-L., Wu, W., Fu, X., Shen, Z., Song, W., Frost, H., Vadseth, C., Narine, L., Lenkiewicz, E., Borchers, M. T., et al. (2002) · Journal of Biological Chemistry
Neutrophil, Myeloperoxidase and Oxidative MechanismsRedox biology and oxidative stress
Cited by 486
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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
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[67] A molecular titration assay to measure transcript prevalence levels
Lee, J. J., & Costlow, N. A. (1987) · Methods in Enzymology
Molecular Biology Techniques and ApplicationsAdvanced biosensing and bioanalysis techniques
Cited by 149
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The accuracy of LD Score regression as an estimator of confounding and genetic correlations in genome‐wide association studies
Lee, J. J., McGue, M., Iacono, W. G., & Chow, C. C. (2018) · Genetic Epidemiology
Genetic Associations and EpidemiologyGenetic and phenotypic traits in livestock
Cited by 79
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Family-GWAS reveals effects of environment and mating on genetic associations
Tan, T., Jayashankar, H., Guan, J., Nehzati, S. M., Mir, M., Bennett, M., Agerbo, E., Ahlskog, R., de Andrade Anapaz, V. P., Benonisdottir, S., et al. (2024) · medRxiv
Genetic Associations and EpidemiologyGenetic and phenotypic traits in livestock
Cited by 47
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