Skip to content

Analysis of shared heritability in common disorders of the brain

Research output: Contribution to journalArticle

  • the BrainSTORM Consortium
  • Verneri Anttila
  • Brendan Bulik-Sullivan
  • Hilary K Finucane
  • Raymond K Walters
  • Jose Bras
  • Laramie Duncan
  • Valentina Escott-Price
  • Guido J Falcone
  • Padhraig Gormley
  • Rainer Malik
  • Nikolaos A Patsopoulos
  • Stephan Ripke
  • Zhi Wei
  • Dongmei Yu
  • Phil H Lee
  • Patrick Turley
  • Benjamin Grenier-Boley
  • Vincent Chouraki
  • Yoichiro Kamatani
  • Claudine Berr
  • Luc Letenneur
  • Didier Hannequin
  • Philippe Amouyel
  • Anne Boland
  • Jean-François Deleuze
  • Emmanuelle Duron
  • Badri N Vardarajan
  • Christiane Reitz
  • Alison M Goate
  • Matthew J Huentelman
  • M Ilyas Kamboh
  • Eric B Larson
  • Ekaterina Rogaeva
  • Peter St George-Hyslop
  • Hakon Hakonarson
  • Walter A Kukull
  • Lindsay A Farrer
  • Lisa L Barnes
  • Thomas G Beach
  • F Yesim Demirci
  • Elizabeth Head
  • Christine M Hulette
  • Gregory A Jicha
  • Oliver S P Davis
  • James Mitchell
  • Andrew W Bergen
  • Tetyana Zayats
  • Kate Langley
  • Sarah E Medland
  • Erin Dunn
Original languageEnglish
JournalScience
Volume360
Issue number6395
DOIs
DateAccepted/In press - 24 Apr 2018
DatePublished (current) - 22 Jun 2018

Abstract

Disorders of the brain can exhibit considerable epidemiological comorbidity and often share symptoms, provoking debate about their etiologic overlap. We quantified the genetic sharing of 25 brain disorders from genome-wide association studies of 265,218 patients and 784,643 control participants and assessed their relationship to 17 phenotypes from 1,191,588 individuals. Psychiatric disorders share common variant risk, whereas neurological disorders appear more distinct from one another and from the psychiatric disorders. We also identified significant sharing between disorders and a number of brain phenotypes, including cognitive measures. Further, we conducted simulations to explore how statistical power, diagnostic misclassification, and phenotypic heterogeneity affect genetic correlations. These results highlight the importance of common genetic variation as a risk factor for brain disorders and the value of heritability-based methods in understanding their etiology.

Download statistics

No data available

Documents

Documents

  • Full-text PDF (accepted author manuscript)

    Rights statement: This is the author accepted manuscript (AAM). The final published version (version of record) is available online via AAAS at http://science.sciencemag.org/content/360/6395/eaap8757 . Please refer to any applicable terms of use of the publisher.

    Accepted author manuscript, 628 KB, PDF-document

  • Supplementary information PDF

    Rights statement: This is the author accepted manuscript (AAM). The final published version (version of record) is available online via AAAS at http://science.sciencemag.org/content/360/6395/eaap8757 . Please refer to any applicable terms of use of the publisher.

    Accepted author manuscript, 6 MB, PDF-document

  • Print Summary PDF

    Rights statement: This is the author accepted manuscript (AAM). The final published version (version of record) is available online via AAAS at http://science.sciencemag.org/content/360/6395/eaap8757 . Please refer to any applicable terms of use of the publisher.

    Accepted author manuscript, 189 KB, PDF-document

DOI

View research connections

Related faculties, schools or groups