Meta-analysis of genome-wide linkage scans of attention deficit hyperactivity disorder

K. Zhou, A. Dempfle, M. Arcos-Burgos, S.C. Bakker, T. Banaschewski, J Biederman, J. Buitelaar, F.X. Castellanos, A. Doyle, R.P. Ebstein, J. Ekholm, P. Forabosco, B. Franke, C. Freitag, S. Friedel, M. Gill, J. Hebebrand, A. Hinney, C. Jacob, K.P. LeschS.K. Loo, F. Lopera, J.T. McCracken, J.J. McGough, J. Meyer, E. Mick, A. Miranda, M. Muenke, F. Mulas, S.F. Nelson, T.T. Nguyen, R.D. Oades, M.N. Ogdie, J.D. Palacio, D. Pineda, A. Reif, T.J. Renner, H. Roeyers, M. Romanos, A. Rothenberger, H. Schäfer, J.A. Sergeant, R.J. Sinke, S.L. Smalley, E. Sonuga-Barke, H.C. Steinhausen, E. van der Meulen, S. Walitza, A. Warnke, C.M. Lewis, S.V. Faraone, P. Asherson

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Genetic contribution to the development of attention deficit hyperactivity disorder (ADHD) is well established. Seven independent genome-wide linkage scans have been performed to map loci that increase the risk for ADHD. Although significant linkage signals were identified in some of the studies, there has been limited replications between the various independent datasets. The current study gathered the results from all seven of the ADHD linkage scans and performed a Genome Scan Meta Analysis (GSMA) to identify the genomic region with most consistent linkage evidence across the studies. Genome-wide significant linkage (P
Original languageEnglish
Pages (from-to)1392-1398
Number of pages7
JournalAmerican Journal of Medical Genetics Part B: Neuropsychiatric Genetics
Issue number8
Early online date5 Nov 2008
Publication statusPublished - 5 Dec 2008

Bibliographical note

Special Issue: Special Issue on the Genetics of ADHD Dedicated to the Memory of Richard Todd


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