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Addendum: Genome-wide association study of depression phenotypes in UK Biobank identifies variants in excitatory synaptic pathways

Author

Listed:
  • David M. Howard

    (University of Edinburgh)

  • Mark J. Adams

    (University of Edinburgh)

  • Masoud Shirali

    (University of Edinburgh)

  • Toni-Kim Clarke

    (University of Edinburgh)

  • Riccardo E. Marioni

    (University of Edinburgh)

  • Gail Davies

    (University of Edinburgh
    University of Edinburgh)

  • Jonathan R. I. Coleman

    (King’s College London
    South London and Maudsley NHS Trust)

  • Clara Alloza

    (University of Edinburgh)

  • Xueyi Shen

    (University of Edinburgh)

  • Miruna C. Barbu

    (University of Edinburgh)

  • Eleanor M. Wigmore

    (University of Edinburgh)

  • Jude Gibson

    (University of Edinburgh)

  • Saskia P. Hagenaars

    (King’s College London
    South London and Maudsley NHS Trust)

  • Cathryn M. Lewis

    (King’s College London
    South London and Maudsley NHS Trust)

  • Joey Ward

    (University of Glasgow)

  • Daniel J. Smith

    (University of Glasgow)

  • Patrick F. Sullivan

    (Karolinska Institutet
    University of North Carolina
    University of North Carolina)

  • Chris S. Haley

    (University of Edinburgh)

  • Gerome Breen

    (King’s College London
    South London and Maudsley NHS Trust)

  • Ian J. Deary

    (University of Edinburgh
    University of Edinburgh)

  • Andrew M. McIntosh

    (University of Edinburgh
    University of Edinburgh)

Abstract

No abstract is available for this item.

Suggested Citation

  • David M. Howard & Mark J. Adams & Masoud Shirali & Toni-Kim Clarke & Riccardo E. Marioni & Gail Davies & Jonathan R. I. Coleman & Clara Alloza & Xueyi Shen & Miruna C. Barbu & Eleanor M. Wigmore & Jud, 2018. "Addendum: Genome-wide association study of depression phenotypes in UK Biobank identifies variants in excitatory synaptic pathways," Nature Communications, Nature, vol. 9(1), pages 1-3, December.
    • Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-05310-5
    DOI: 10.1038/s41467-018-05310-5
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    Cited by:

    1. Fartein Ask Torvik & Espen Moen Eilertsen & Laurie J. Hannigan & Rosa Cheesman & Laurence J. Howe & Per Magnus & Ted Reichborn-Kjennerud & Ole A. Andreassen & Pål R. Njølstad & Alexandra Havdahl & Eiv, 2022. "Modeling assortative mating and genetic similarities between partners, siblings, and in-laws," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    2. Joey Ward & Nicholas Graham & Rona J Strawbridge & Amy Ferguson & Gregory Jenkins & Wenan Chen & Karen Hodgson & Mark Frye & Richard Weinshilboum & Rudolf Uher & Cathryn M Lewis & Joanna Biernacka & D, 2018. "Polygenic risk scores for major depressive disorder and neuroticism as predictors of antidepressant response: Meta-analysis of three treatment cohorts," PLOS ONE, Public Library of Science, vol. 13(9), pages 1-8, September.
    3. Andras Gezsi & Sandra Auwera & Hannu Mäkinen & Nora Eszlari & Gabor Hullam & Tamas Nagy & Sarah Bonk & Rubèn González-Colom & Xenia Gonda & Linda Garvert & Teemu Paajanen & Zsofia Gal & Kevin Kirchner, 2024. "Unique genetic and risk-factor profiles in clusters of major depressive disorder-related multimorbidity trajectories," Nature Communications, Nature, vol. 15(1), pages 1-18, December.
    4. Aleksandr Talishinsky & Jonathan Downar & Petra E. Vértes & Jakob Seidlitz & Katharine Dunlop & Charles J. Lynch & Heather Whalley & Andrew McIntosh & Fidel Vila-Rodriguez & Zafiris J. Daskalakis & Da, 2022. "Regional gene expression signatures are associated with sex-specific functional connectivity changes in depression," Nature Communications, Nature, vol. 13(1), pages 1-20, December.

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