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Genome-wide association scan of attention deficit hyperactivity disorder

  • Benjamin M. Neale
  • , Jessica Lasky-Su
  • , Richard Anney
  • , Barbara Franke
  • , Kaixin Zhou
  • , Julian B. Maller
  • , Alejandro Arias Vasquez
  • , Philip Asherson
  • , Wai Chen
  • , Tobias Banaschewski
  • , Jan Buitelaar
  • , Richard Ebstein
  • , Michael Gill
  • , Ana Miranda
  • , Robert D. Oades
  • , Herbert Roeyers
  • , Aribert Rothenberger
  • , Joseph Sergeant
  • , Hans Christoph Steinhausen
  • , Edmund Sonuga-Barke
  • Fernando Mulas, Eric Taylor, Nan Laird, Christoph Lange, Mark Daly, Stephen V. Faraone
  • King's College London
  • SUNY Upstate Medical University
  • Massachusetts General Hospital
  • Broad Institute
  • Brigham and Women’s Hospital
  • St James’s Hospital
  • Radboud University Nijmegen
  • University of Oxford
  • Heidelberg University 
  • Geha Mental Health Center
  • University of Valencia
  • University of Duisburg-Essen
  • Ghent University
  • University of Göttingen
  • Vrije Universiteit Amsterdam
  • University of Zurich
  • University of Southampton
  • New York University
  • Hospital Universitario La Fe
  • Harvard University

Research output: Contribution to journalArticlepeer-review

208 Scopus citations

Abstract

Results of behavioral genetic and molecular genetic studies have converged to suggest that genes substantially contribute to the development of attention deficit/hyperactivity disorder (ADHD), a common disorder with an onset in childhood. Yet, despite numerous linkage and candidate gene studies, strongly consistent and replicable association has eluded detection. To search for ADHD susceptibility genes, we genotyped approximately 600,000 SNPs in 958 ADHD affected family trios. After cleaning the data, we analyzed 438,784 SNPs in 2,803 individuals comprising 909 complete trios using ADHD diagnosis as phenotype. We present the initial TDT findings as well as considerations for cleaning family-based TDT data. None of the SNP association tests achieved genome-wide significance, indicating that larger samples may be required to identify risk loci for ADHD. We additionally identify a systemic bias in family-based association, and suggest that variable missing genotype rates may be the source of this bias.

Original languageEnglish
Pages (from-to)1337-1344
Number of pages8
JournalAmerican Journal of Medical Genetics, Part B: Neuropsychiatric Genetics
Volume147
Issue number8
DOIs
StatePublished - Dec 5 2008

Keywords

  • ADHD
  • Genetic association information network
  • Genome-wide association
  • SNP chip

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