Meta-analysis of 32 genome-wide linkage studies of schizophrenia

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dc.contributor.author Ng, M.Y.M.
dc.contributor.author Levinson, D.F.
dc.contributor.author Faraone, S.V.
dc.contributor.author Suarez, B.K.
dc.contributor.author DeLisi, L.E.
dc.contributor.author Arinami, T.
dc.contributor.author Riley, B.
dc.contributor.author Paunio, T.
dc.contributor.author Pulver, A.E.
dc.contributor.author Irmansya
dc.contributor.author Holmans, P.A.
dc.contributor.author Escamilla, M.
dc.contributor.author Wildenauer, D.B.
dc.contributor.author Williams, Neal M.
dc.contributor.author Laurent, Claude
dc.contributor.author Mowry, B.J.
dc.contributor.author Brzustowicz, L.M.
dc.contributor.author Maziade, M.
dc.contributor.author Sklar, P.
dc.contributor.author Garver, D.L.
dc.contributor.author Abecasis, G.R.
dc.contributor.author Lerer, B.
dc.contributor.author Fallin, M.D.
dc.contributor.author Gurling, H.M.D.
dc.contributor.author Gejman, P.V.
dc.contributor.author Lindholm, E.
dc.contributor.author Moises, H.W.
dc.contributor.author Byerley, W.
dc.contributor.author Wijsman, E.M.
dc.contributor.author Foraboso, P.
dc.contributor.author Tsuang, M.T.
dc.contributor.author Hwu, H-G.
dc.contributor.author Okazaki, Y.
dc.contributor.author Kendler, K.S.
dc.contributor.author Wormley, B.
dc.contributor.author Fanous, A.
dc.contributor.author Walsh, D.
dc.contributor.author O'Neill, F.A.
dc.contributor.author Peltonen, L.
dc.contributor.author Nestadt, G.
dc.contributor.author Lasseter, V.K.
dc.contributor.author Liang, K.Y.
dc.contributor.author Papadimitriou, G.M.
dc.contributor.author Dikeos, D.G.
dc.contributor.author Schwab, S.G.
dc.contributor.author Owen, M.J.
dc.contributor.author O'Donovan, M.C.
dc.contributor.author Norton, N.
dc.contributor.author Hare, E.
dc.contributor.author Raventos, H.
dc.contributor.author Nicolini, H.
dc.contributor.author Albus, M.
dc.contributor.author Maier, W.
dc.contributor.author Nimgaonkar, V.L.
dc.contributor.author Terenius, L.
dc.contributor.author Mallet, J.
dc.contributor.author Jay, M.
dc.contributor.author Godard, S.
dc.contributor.author Nertney, D.
dc.contributor.author Alexander, M.
dc.contributor.author Crowe, R.R.
dc.contributor.author Silverman, J.M.
dc.contributor.author Basset, A.S.
dc.contributor.author Roy, M-A.
dc.contributor.author Merette, C.
dc.contributor.author Pato, C.N.
dc.contributor.author Pato, M.T.
dc.contributor.author Roos, J.L. (Johannes Louw)
dc.contributor.author Kohn, Y.
dc.contributor.author Amann-Zalcenstein, D.
dc.contributor.author Kalsi, G.
dc.contributor.author McQuillin, A.
dc.contributor.author Curtis, D.
dc.contributor.author Brynjolfson, J.
dc.contributor.author Sigmundsson, T.
dc.contributor.author Petursson, H.
dc.contributor.author Sanders, A.R.
dc.contributor.author Duan, J.
dc.contributor.author Jazin, E.
dc.contributor.author Myles-Worsley, M.
dc.contributor.author Karayiorgou, Maria
dc.contributor.author Lewis, C.M.
dc.date.accessioned 2010-04-07T06:21:12Z
dc.date.available 2010-04-07T06:21:12Z
dc.date.issued 2009-08
dc.description.abstract A genome scan meta-analysis (GSMA) was carried out on 32 independent genome-wide linkage scan analyses that included 3255 pedigrees with 7413 genotyped cases affected with schizophrenia SCZ) or related disorders. The primary GSMA divided the autosomes into 120 bins, rank-ordered the bins within each study according to the most positive linkage result in each bin, summed these ranks (weighted for study size) for each bin across studies and determined the empirical probability of a given summed rank (PSR) by simulation. Suggestive evidence for linkage was observed in two single bins, on chromosomes 5q (142-168 Mb) and 2q (103-134 Mb). Genome-wide evidence for linkage was detected on chromosome 2q (119-152 Mb) when bin boundaries were shifted to the middle of the previous bins. The primary analysis met empirical criteria for ‘aggregate’ genomewide significance, indicating that some or all of 10 bins are likely to contain loci linked to SCZ, including regions of chromosomes 1, 2q, 3q, 4q, 5q, 8p and 10q. In a secondary analysis of 22 studies of European-ancestry samples, suggestive evidence for linkage was observed on chromosome 8p 16-33 Mb). Although the newer genome-wide association methodology has greater power to detect weak associations to single common DNA sequence variants, linkage analysis can detect diverse genetic effects that segregate in families, including multiple rare variants within one locus or several weakly associated loci in the same region. Therefore, the regions supported by this meta-analysis deserve close attention in future studies. en
dc.identifier.citation Ng, MYM, Levinson, DF, Faraone, SV et al, 2009, 'Meta-analysis of 32 genome-wide linkage studies of schizophrenia', Molecular Psychiatry, vol. 14, no. 8, pp .774-85. [http://www.nature.com/mp/index.html] en
dc.identifier.issn 1476-5578
dc.identifier.other 10.1038/mp.2008.135
dc.identifier.uri http://hdl.handle.net/2263/13816
dc.language.iso en en
dc.publisher Nature Publishing Group en
dc.rights © 2008 Nature Publishing Group en
dc.subject Genetic predisposition en
dc.subject.lcsh Genomics en
dc.subject.lcsh Human genetics en
dc.subject.lcsh Human genome en
dc.subject.lcsh Schizophrenia -- Susceptibility en
dc.subject.lcsh Meta-analysis en
dc.subject.lcsh Linkage (Genetics) en
dc.title Meta-analysis of 32 genome-wide linkage studies of schizophrenia en
dc.type Article en


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