Genome-wide association scan of quantitative traits for attention deficit hyperactivity disorder identifies novel associations and confirms candidate gene associations

J. Lasky-Su, B. Neale, F. Franke, R.J. Anney, K. Zhou, J.B. Maller, A.A. Vasquez, W. Chen, P. Asherson, J. Buitelaar, T. Banaschewski, R. Ebstein, M. Gill, A. Miranda, F. Mulas, R.D. Oades, H. Roeyers, A. Rothenberger, J.A. Sergeant, E.J.S. Sonuga-BarkeH.C. Steinhausen, E. Taylor, M.J. Daly, N. Laird, C. Lange, S.V. Faraone

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Abstract

Attention deficit hyperactivity disorder (ADHD) is a complex condition with environmental and genetic etiologies. Up to this point, research has identified genetic associations with candidate genes from known biological pathways. In order to identify novel ADHD susceptibility genes, 600,000 SNPs were genotyped in 958 ADHD pro-band-parent trios. After applying data cleaning procedures we examined 429,981 autosomal SNPs in 909 family trios. We generated six quantitative phenotypes from 18 ADHD symptoms to be used in genome-wide association analyses. With the PBAT screening algorithm, we identified 2 SNPs, rs6565113 and rs552655 that met the criteria for significance within a specified phenotype. These SNPs are located in intronic regions of genes CDH13 and GFOD1, respectively. CDH13 has been implicated previously in substance use disorders. We also evaluated the association of SNPs from a list of 37 ADHD candidate genes that was specified a priori. These findings, along with association P-values with a magnitude less than 10
Original languageEnglish
Pages (from-to)1345-1354
Number of pages10
JournalAmerican Journal of Medical Genetics Part B: Neuropsychiatric Genetics
Volume147B
Issue number8
DOIs
Publication statusPublished - 2008

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