Wray, Naomi R.
The University of Queensland · University of Oxford · Institute for Molecular Bioscience
89 papers on CoChatORCID 0000-0001-7421-3357
Most cited papers
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GWAS on family history of Alzheimer’s disease
Marioni, R. E., Harris, S. E., Zhang, Q., McRae, A. F., Hagenaars, S. P., Hill, W. D., Davies, G., Ritchie, C. W., Gale, C. R., Starr, J. M., et al. (2018) · Translational Psychiatry
Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research
Cited by 564
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Common and rare variant association analyses in amyotrophic lateral sclerosis identify 15 risk loci with distinct genetic architectures and neuron-specific biology
van Rheenen, W., van der Spek, R. A. A., Bakker, M. K., van Vugt, J. J. F. A., Hop, P. J., Zwamborn, R. A. J., de Klein, N., Westra, H.-J., Bakker, O. B., Deelen, P., et al. (2021) · Nature Genetics
Amyotrophic Lateral Sclerosis ResearchGenetic Associations and Epidemiology
Cited by 542
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The neuroprogressive nature of major depressive disorder: pathways to disease evolution and resistance, and therapeutic implications
Moylan, S., Maes, M., Wray, N. R., & Berk, M. (2013) · Molecular Psychiatry
Treatment of Major DepressionTryptophan and brain disorders
Cited by 529
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Improved polygenic prediction by Bayesian multiple regression on summary statistics
Lloyd-Jones, L. R., Zeng, J., Sidorenko, J., Yengo, L., Moser, G., Kemper, K. E., Wang, H., Zheng, Z., Magi, R., Esko, T., et al. (2019) · Nature Communications
Genetic Associations and EpidemiologyGenetic and phenotypic traits in livestock
Cited by 528
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Genomic and phenotypic insights from an atlas of genetic effects on DNA methylation
Min, J. L., Hemani, G., Hannon, E., Dekkers, K. F., Castillo-Fernandez, J., Luijk, R., Carnero-Montoro, E., Lawson, D. J., Burrows, K., Suderman, M., et al. (2021) · Nature Genetics
Epigenetics and DNA MethylationGenetic Associations and Epidemiology
Cited by 506
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Improved precision of epigenetic clock estimates across tissues and its implication for biological ageing
Zhang, Q., Vallerga, C. L., Walker, R. M., Lin, T., Henders, A. K., Montgomery, G. W., He, J., Fan, D., Fowdar, J., Kennedy, M., et al. (2019) · Genome Medicine
Epigenetics and DNA MethylationGenetics, Aging, and Longevity in Model Organisms
Cited by 487
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Lifetime stress accelerates epigenetic aging in an urban, African American cohort: Relevance of glucocorticoid signaling
Zannas, A. S., Arloth, J., Carrillo-Roa, T., Iurato, S., Röh, S., Ressler, K. J., Nemeroff, C. B., Smith, A. K., Bradley, B., Heim, C., et al. (2015) · Genome Biology
Epigenetics and DNA MethylationStress Responses and Cortisol
Cited by 469
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Contrasting genetic architectures of schizophrenia and other complex diseases using fast variance-components analysis
Schizophrenia Working Group of the Psychiatric Genomics Consortium, Loh, P.-R., Bhatia, G., Gusev, A., Finucane, H. K., Bulik-Sullivan, B. K., Pollack, S. J., de Candia, T. R., Lee, S. H., Wray, N. R., et al. (2015) · Nature Genetics
Genetic Associations and EpidemiologySchizophrenia research and treatment
Cited by 449
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Genome-wide association study of major depressive disorder: new results, meta-analysis, and lessons learned
Wray, N. R., Pergadia, M. L., Blackwood, D. H. R., Penninx, B. W. J. H., Gordon, S. D., Nyholt, D. R., Ripke, S., MacIntyre, D. J., McGhee, K. A., Maclean, A. W., et al. (2012) · Molecular Psychiatry
Genetic Associations and EpidemiologyTreatment of Major Depression
Cited by 444
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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
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A DNA methylation biomarker of alcohol consumption
Liu, C., Marioni, R. E., Hedman, Å. K., Pfeiffer, L., Tsai, P.-C., Reynolds, L. M., Just, A. C., Duan, Q., Boer, C. G., Tanaka, T., et al. (2018) · Molecular Psychiatry
Epigenetics and DNA MethylationAlcohol Consumption and Health Effects
Cited by 402
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Signatures of negative selection in the genetic architecture of human complex traits
Zeng, J., de Vlaming, R., Wu, Y., Robinson, M. R., Lloyd-Jones, L. R., Yengo, L., Yap, C. X., Xue, A., Sidorenko, J., McRae, A. F., et al. (2018) · Nature Genetics
Genetic Associations and EpidemiologyGenetic and phenotypic traits in livestock
Cited by 391
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From Basic Science to Clinical Application of Polygenic Risk Scores: A Primer
Wray, N. R., Lin, T., Austin, J., McGrath, J. J., Hickie, I. B., Murray, G. K., & Visscher, P. M. (2021) · JAMA Psychiatry
Genetic Associations and EpidemiologyGenomics and Rare Diseases
Cited by 367
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Large-scale genomics unveils the genetic architecture of psychiatric disorders
Gratten, J., Wray, N. R., Keller, M. C., & Visscher, P. M. (2014) · Nature Neuroscience
Genetic Associations and EpidemiologySchizophrenia research and treatment
Cited by 363
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The genetic interpretation of area under the ROC curve in genomic profiling
Wray, N. R., Yang, J., Goddard, M. E., & Visscher, P. M. (2010) · PLoS Genetics
Genetic Associations and EpidemiologyGenetic and phenotypic traits in livestock
Cited by 334
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Polygenic Risk Score, Parental Socioeconomic Status, Family History of Psychiatric Disorders, and the Risk for Schizophrenia: A Danish Population-Based Study and Meta-analysis
Agerbo, E., Sullivan, P. F., Vilhjálmsson, B. J., Pedersen, C. B., Mors, O., Børglum, A. D., Hougaard, D. M., Hollegaard, M. V., Meier, S., Mattheisen, M., et al. (2015) · JAMA Psychiatry
Schizophrenia research and treatmentGenetic Associations and Epidemiology
Cited by 319
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RICOPILI: Rapid Imputation for COnsortias PIpeLIne
Lam, M., Awasthi, S., Watson, H. J., Goldstein, J., Panagiotaropoulou, G., Trubetskoy, V., Karlsson, R., Frei, O., Fan, C.-C., De Witte, W., et al. (2020) · Bioinformatics
Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals
Cited by 315
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Harnessing the information contained within genome-wide association studies to improve individual prediction of complex disease risk
Evans, D. M., Visscher, P. M., & Wray, N. R. (2009) · Human Molecular Genetics
Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals
Cited by 297
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A direct test of the diathesis-stress model for depression
Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Colodro-Conde, L., Couvy-Duchesne, B., Zhu, G., Coventry, W. L., Byrne, E. M., Gordon, S., Wright, M. J., Montgomery, G. W., Madden, P. A. F., et al. (2018) · Molecular Psychiatry
Genetic Associations and EpidemiologyNeurotransmitter Receptor Influence on Behavior
Cited by 285
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Risk prediction of late-onset Alzheimer’s disease implies an oligogenic architecture
Zhang, Q., Sidorenko, J., Couvy-Duchesne, B., Marioni, R. E., Wright, M. J., Goate, A. M., Marcora, E., Huang, K.-L., Porter, T., Laws, S. M., et al. (2020) · Nature Communications
Alzheimer's disease research and treatmentsGenetic Associations and Epidemiology
Cited by 272
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GWAS of Suicide Attempt in Psychiatric Disorders and Association With Major Depression Polygenic Risk Scores
Mullins, N., Bigdeli, T. B., Børglum, A. D., Coleman, J. R. I., Demontis, D., Mehta, D., Power, R. A., Ripke, S., Stahl, E. A., Starnawska, A., et al. (2019) · American Journal of Psychiatry
Suicide and Self-Harm StudiesGenetic Associations and Epidemiology
Cited by 270
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Genetic correlates of social stratification in Great Britain
Abdellaoui, A., Hugh-Jones, D., Yengo, L., Kemper, K. E., Nivard, M. G., Veul, L., Holtz, Y., Zietsch, B. P., Frayling, T. M., Wray, N. R., et al. (2019) · Nature Human Behaviour
Genetic Associations and EpidemiologyForensic and Genetic Research
Cited by 261
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Genome-wide association study of medication-use and associated disease in the UK Biobank
Wu, Y., Byrne, E. M., Zheng, Z., Kemper, K. E., Yengo, L., Mallett, A. J., Yang, J., Visscher, P. M., & Wray, N. R. (2019) · Nature Communications
Genetic Associations and EpidemiologyPharmacogenetics and Drug Metabolism
Cited by 243
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Genetic association of major depression with atypical features and obesity-related immunometabolic dysregulations
Milaneschi, Y., Lamers, F., Peyrot, W. J., Baune, B. T., Breen, G., Dehghan, A., Forstner, A. J., Grabe, H. J., Homuth, G., Kan, C., et al. (2017) · JAMA Psychiatry
Genetic Associations and EpidemiologyTryptophan and brain disorders
Cited by 233
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