Genome-wide association scan of the time to onset of attention deficit hyperactivity disorder

Jessica Lasky-Su, Richard J L Anney, Benjamin M Neale, Barbara Franke, Kaixin Zhou, Julian B Maller, Alejandro Arias Vasquez, Wai Chen, Philip Asherson, Jan Buitelaar, Tobias Banaschewski, Richard Ebstein, Michael Gill, Ana Miranda, Fernando Mulas, Robert D Oades, Herbert Roeyers, Aribert Rothenberger, Joseph Sergeant, Edmund Sonuga-BarkeHans Christoph Steinhausen, Eric Taylor, Mark Daly, Nan Laird, Christoph Lange, Stephen V Faraone

Research output: Contribution to journalArticlepeer-review

114 Citations (Scopus)


A time-to-onset analysis for family-based samples was performed on the genomewide association (GWAS) data for attention deficit hyperactivity disorder (ADHD) to determine if associations exist with the age at onset of ADHD. The initial dataset consisted of 958 parent-offspring trios that were genotyped on the Perlegen 600,000 SNP array. After data cleaning procedures, 429,981 autosomal SNPs and 930 parent-offspring trios were used found suitable for use and a family-based logrank analysis was performed using that age at first ADHD symptoms as the quantitative trait of interest. No SNP achieved genome-wide significance, and the lowest P-values had a magnitude of 10(-7). Several SNPs among a pre-specified list of candidate genes had nominal associations including SLC9A9, DRD1, ADRB2, SLC6A3, NFIL3, ADRB1, SYT1, HTR2A, ARRB2, and CHRNA4. Of these findings SLC9A9 stood out as a promising candidate, with nominally significant SNPs in six distinct regions of the gene.

Original languageEnglish
Pages (from-to)1355-8
Number of pages4
JournalAmerican Journal of Medical Genetics. Part B: Neuropsychiatric Genetics
Issue number8
Publication statusPublished - 5 Dec 2008


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