Deary, Ian J.
University of Edinburgh
155 papers on CoChatORCID 0000-0002-1733-263X
Most cited papers
- Verified
Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression
eQTLGen, Wray, N. R., 23andMe, the Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Ripke, S., Mattheisen, M., Trzaskowski, M., Byrne, E. M., Abdellaoui, A., Adams, M. J., et al. (2018) · Nature Genetics
Genetic Associations and EpidemiologyTreatment of Major Depression
Cited by 3,005
- Verified
Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions
Howard, D. M., Adams, M. J., Clarke, T.-K., Hafferty, J. D., Gibson, J., Shirali, M., Coleman, J. R. I., Hagenaars, S. P., Ward, J., Wigmore, E. M., et al. (2019) · Nature Neuroscience
Genetic Associations and EpidemiologyNeurotransmitter Receptor Influence on Behavior
Cited by 2,565
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Intelligence and educational achievement
Deary, I. J., Strand, S., Smith, P., & Fernandes, C. (2007) · Intelligence
Cognitive Abilities and TestingEducation, Achievement, and Giftedness
Cited by 1,723
- Verified
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
- Verified
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
- Verified
Age-associated cognitive decline
Deary, I. J., Corley, J., Gow, A. J., Harris, S. E., Houlihan, L. M., Marioni, R. E., Penke, L., Rafnsson, S. B., & Starr, J. M. (2009) · British Medical Bulletin
Dementia and Cognitive Impairment ResearchAging and Gerontology Research
Cited by 1,295
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Genome-wide association meta-analysis in 269,867 individuals identifies new genetic and functional links to intelligence
Savage, J. E., Jansen, P. R., Stringer, S., Watanabe, K., Bryois, J., de Leeuw, C. A., Nagel, M., Awasthi, S., Barr, P. B., Coleman, J. R. I., et al. (2018) · Nature Genetics
Genetic Associations and EpidemiologyCognitive Abilities and Testing
Cited by 1,267
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DNA methylation age of blood predicts all-cause mortality in later life
Marioni, R. E., Shah, S., McRae, A. F., Chen, B. H., Colicino, E., Harris, S. E., Gibson, J., Henders, A. K., Redmond, P., Cox, S. R., et al. (2015) · Genome Biology
Epigenetics and DNA MethylationGenetics, Aging, and Longevity in Model Organisms
Cited by 1,261
- Verified
DNA methylation-based measures of biological age: meta-analysis predicting time to death
Chen, B. H., Marioni, R. E., Colicino, E., Peters, M. J., Ward-Caviness, C. K., Tsai, P.-C., Roetker, N. S., Just, A. C., Demerath, E. W., Guan, W., et al. (2016) · Aging
Epigenetics and DNA MethylationGenetics, Aging, and Longevity in Model Organisms
Cited by 1,126
- Verified
The neuroscience of human intelligence differences
Deary, I. J., Penke, L., & Johnson, W. (2010) · Nature Reviews Neuroscience
Cognitive Abilities and TestingGenetic Associations and Epidemiology
Cited by 1,038
- Verified
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
- Verified
Genomic structural equation modelling provides insights into the multivariate genetic architecture of complex traits
Grotzinger, A. D., Rhemtulla, M., de Vlaming, R., Ritchie, S. J., Mallard, T. T., Hill, W. D., Ip, H. F., Marioni, R. E., McIntosh, A. M., Deary, I. J., et al. (2019) · Nature Human Behaviour
Genetic Associations and EpidemiologyGenetic and phenotypic traits in livestock
Cited by 958
- Verified
The genetic architecture of the human cerebral cortex
Grasby, K. L., Jahanshad, N., Painter, J. N., Colodro-Conde, L., Bralten, J., Hibar, D. P., Lind, P. A., Pizzagalli, F., Ching, C. R. K., McMahon, M. A. B., et al. (2020) · Science
Genetic Associations and EpidemiologyCognitive Abilities and Testing
Cited by 876
- Verified
Common genetic variants influence human subcortical brain structures
Initiative, T. A. D. N., Hibar, D. P., The CHARGE Consortium, EPIGEN, IMAGEN, SYS, Stein, J. L., Renteria, M. E., Arias-Vasquez, A., Desrivières, S., et al. (2015) · Nature
Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals
Cited by 858
- Verified
Sex Differences in the Adult Human Brain: Evidence from 5216 UK Biobank Participants
Ritchie, S. J., Cox, S. R., Shen, X., Lombardo, M. V., Reus, L. M., Alloza, C., Harris, M. A., Alderson, H. L., Hunter, S., Neilson, E., et al. (2018) · Cerebral Cortex
Sex and Gender in HealthcareAdvanced Neuroimaging Techniques and Applications
Cited by 855
- Verified
The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data
the Alzheimer’s Disease Neuroimaging Initiative, E. C., Thompson, P. M., Stein, J. L., Medland, S. E., Hibar, D. P., Vasquez, A. A., Renteria, M. E., Toro, R., Jahanshad, N., Schumann, G., et al. (2014) · Brain Imaging and Behavior
Genetic Associations and EpidemiologyFunctional Brain Connectivity Studies
Cited by 838
- Verified
Complement C3 variant and the risk of age-related macular degeneration
Yates, J. R. W., Sepp, T., Matharu, B. K., Khan, J. C., Thurlby, D. A., Shahid, H., Clayton, D. G., Hayward, C., Morgan, J., Wright, A. F., et al. (2007) · New England Journal of Medicine
Retinal Diseases and TreatmentsComplement system in diseases
Cited by 829
- Verified
GWAS of 126,559 Individuals Identifies Genetic Variants Associated with Educational Attainment
Rietveld, C. A., Medland, S. E., Derringer, J., Yang, J., Esko, T., Martin, N. W., Westra, H.-J., Shakhbazov, K., Abdellaoui, A., Agrawal, A., et al. (2013) · Science
Genetic Associations and EpidemiologyCognitive Abilities and Testing
Cited by 827
- Verified
The Impact of Childhood Intelligence on Later Life: Following Up the Scottish Mental Surveys of 1932 and 1947.
Deary, I. J., Whiteman, M. C., Starr, J. M., Whalley, L. J., & Fox, H. C. (2004) · Journal of Personality and Social Psychology
Cognitive Abilities and TestingAging and Gerontology Research
Cited by 809
- Verified
Genetics and intelligence differences: five special findings
Plomin, R., & Deary, I. J. (2015) · Molecular Psychiatry
Cognitive Abilities and TestingGenetic Associations and Epidemiology
Cited by 702
- Verified
Integrative analysis of omics summary data reveals putative mechanisms underlying complex traits
Wu, Y., Zeng, J., Zhang, F., Zhu, Z., Qi, T., Zheng, Z., Lloyd-Jones, L. R., Marioni, R. E., Martin, N. G., Montgomery, G. W., et al. (2018) · Nature Communications
Genetic Associations and EpidemiologyEpigenetics and DNA Methylation
Cited by 685
- Verified
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
- Verified
Comparison of risk factor associations in UK Biobank against representative, general population based studies with conventional response rates: prospective cohort study and individual participant meta-analysis
Batty, G. D., Gale, C. R., Kivimäki, M., Deary, I. J., & Bell, S. (2020) · BMJ
Cardiovascular Health and Risk FactorsStatistical Methods in Epidemiology
Cited by 635
- Verified
Genome-wide association study of depression phenotypes in UK Biobank identifies variants in excitatory synaptic pathways
Howard, D. M., Adams, M. J., Shirali, M., Clarke, T.-K., Marioni, R. E., Davies, G., Coleman, J. R. I., Alloza, C., Shen, X., Barbu, M. C., et al. (2018) · Nature Communications
Genetic Associations and EpidemiologyTreatment of Major Depression
Cited by 612
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