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Genetic contributions to stability and change in intelligence from childhood to old age

Author

Listed:
  • Ian J. Deary

    (University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK
    Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK)

  • Jian Yang

    (Queensland Institute of Medical Research, 300 Herston Road, Brisbane, Queensland 4006, Australia)

  • Gail Davies

    (University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK
    Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK)

  • Sarah E. Harris

    (Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK
    Medical Genetics Section, Molecular Medicine Centre, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh EH4 2XU, UK)

  • Albert Tenesa

    (Medical Genetics Section, Molecular Medicine Centre, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh EH4 2XU, UK
    The Roslin Institute, Royal (Dick) School of Veterinary Studies, University of Edinburgh, Roslin, Edinburgh EH25 9RG, UK)

  • David Liewald

    (University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK
    Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK)

  • Michelle Luciano

    (University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK
    Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK)

  • Lorna M. Lopez

    (University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK
    Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK)

  • Alan J. Gow

    (University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK
    Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK)

  • Janie Corley

    (University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK)

  • Paul Redmond

    (University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK)

  • Helen C. Fox

    (Institute of Applied Health Sciences, Foresterhill, Aberdeen AB25 2ZD, UK)

  • Suzanne J. Rowe

    (The Roslin Institute, Royal (Dick) School of Veterinary Studies, University of Edinburgh, Roslin, Edinburgh EH25 9RG, UK)

  • Paul Haggarty

    (Nutrition and Epigenetics Group, Rowett Institute of Nutrition and Health, University of Aberdeen, Greenburn Road, Bucksburn, Aberdeen AB21 9SB, UK)

  • Geraldine McNeill

    (Institute of Applied Health Sciences, Foresterhill, Aberdeen AB25 2ZD, UK)

  • Michael E. Goddard

    (University of Melbourne, Parkville, Victoria 3011, Bundoora, Victoria 3083, Australia)

  • David J. Porteous

    (Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK
    Medical Genetics Section, Molecular Medicine Centre, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh EH4 2XU, UK)

  • Lawrence J. Whalley

    (Institute of Applied Health Sciences, Foresterhill, Aberdeen AB25 2ZD, UK)

  • John M. Starr

    (Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK
    Alzheimer Scotland Dementia Research Centre, University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK)

  • Peter M. Visscher

    (Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK
    Queensland Institute of Medical Research, 300 Herston Road, Brisbane, Queensland 4006, Australia
    University of Queensland Diamantina Institute, University of Queensland, Princess Alexandra Hospital, Brisbane, Queensland 4102, Australia
    The Queensland Brain Institute, The University of Queensland, Brisbane, Queensland 4072, Australia)

Abstract

Using a unique and rich data set of lifetime cognitive measures, the contribution of genetics to differences in cognitive ageing is explored.

Suggested Citation

  • Ian J. Deary & Jian Yang & Gail Davies & Sarah E. Harris & Albert Tenesa & David Liewald & Michelle Luciano & Lorna M. Lopez & Alan J. Gow & Janie Corley & Paul Redmond & Helen C. Fox & Suzanne J. Row, 2012. "Genetic contributions to stability and change in intelligence from childhood to old age," Nature, Nature, vol. 482(7384), pages 212-215, February.
  • Handle: RePEc:nat:nature:v:482:y:2012:i:7384:d:10.1038_nature10781
    DOI: 10.1038/nature10781
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    Citations

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    Cited by:

    1. Silver, Ian A., 2019. "Linear and non-linear: An exploration of the variation in the functional form of verbal IQ and antisocial behavior as adolescents age into adulthood," Intelligence, Elsevier, vol. 76(C), pages 1-1.
    2. Yu, Huihui & McCoach, D. Betsy & Gottfried, Allen W. & Gottfried, Adele Eskeles, 2018. "Stability of intelligence from infancy through adolescence: An autoregressive latent variable model," Intelligence, Elsevier, vol. 69(C), pages 8-15.
    3. Peter M Visscher & Gibran Hemani & Anna A E Vinkhuyzen & Guo-Bo Chen & Sang Hong Lee & Naomi R Wray & Michael E Goddard & Jian Yang, 2014. "Statistical Power to Detect Genetic (Co)Variance of Complex Traits Using SNP Data in Unrelated Samples," PLOS Genetics, Public Library of Science, vol. 10(4), pages 1-10, April.
    4. Girault, Jessica B. & Langworthy, Benjamin W. & Goldman, Barbara D. & Stephens, Rebecca L. & Cornea, Emil & Steven Reznick, J. & Fine, Jason & Gilmore, John H., 2018. "The predictive value of developmental assessments at 1 and 2 for intelligence quotients at 6," Intelligence, Elsevier, vol. 68(C), pages 58-65.
    5. Cherrie, Mark P.C. & Shortt, Niamh K. & Mitchell, Richard J. & Taylor, Adele M. & Redmond, Paul & Thompson, Catharine Ward & Starr, John M. & Deary, Ian J. & Pearce, Jamie R., 2018. "Green space and cognitive ageing: A retrospective life course analysis in the Lothian Birth Cohort 1936," Social Science & Medicine, Elsevier, vol. 196(C), pages 56-65.

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