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

Date Issued
2008-01-01
Author(s)
Zhou, Kaixin
Dempfle, Astrid
Arcos-Burgos, Mauricio
Bakker, Steven C
Banaschewski, Tobias
Biederman, Joseph
Buitelaar, Jan
Castellanos, F Xavier
Doyle, Alysa
Ebstein, Richard P
Ekholm, Jenny
Forabosco, Paola
Franke, Barbara
Freitag, Christine
Friedel, Susann
Gill, Michael
Hebebrand, Johannes
Hinney, Anke
Jacob, Christian
Lesch, Klaus Peter
Loo, Sandra K
Lopera, Francisco
McCracken, James T
McGough, James J
Meyer, Jobst
Mick, Eric
Miranda, Ana
Muenke, Maximilian
Mulas, Fernando
Nelson, Stanley F
Nguyen, T Trang
Oades, Robert D
Ogdie, Matthew N
Palacio, Juan David
Pineda, David
Reif, Andreas
Renner, Tobias J
Roeyers, Herbert
Romanos, Marcel
Rothenberger, Aribert
Schäfer, Helmut
Sergeant, Joseph
Sinke, Richard J
Smalley, Susan L
Sonuga-Barke, Edmund
Steinhausen, Hans-Christoph  
van der Meulen, Emma
Walitza, Susanne
Warnke, Andreas
Lewis, Cathryn M
Faraone, Stephen V
Asherson, Philip
DOI
10.1002/ajmg.b.30878
Abstract
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(SR) = 0.00034, P(OR) = 0.04) was identified on chromosome 16 between 64 and 83 Mb. In addition there are nine other genomic regions from the GSMA showing nominal or suggestive evidence of linkage. All these linkage results may be informative and focus the search for novel ADHD susceptibility genes.
Subjects

ADHD, GSMA, linkage

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