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

Ng, M. Y. M., Levinson, D. F., Faraone S. V., Suarez, B. K., DeLisi, L. E., Arinami, T., Riley, B., Paunio, T., Pulver, A. E., Irmansyah, Holmans,P. A., Escamilla, M., Wildenauer, DB, Williams, N. M., Laurent, C., Mowry, Bryan, Brzustowicz, L. M., Maziade, M., Sklar, P., Garver, D. L., Abecasi, G. R., Lerer, B., Fallin, M. D., Gurling, H. M. D., Gejman, P. V., Lindholm, E., Moises, H. W., Byerley, W., Wijsman, E. M., Forabosco, P., Tsuang, M. T., Hwu, H-G., Okazaki, Y., Kendler, K. S., Wormley, B., Fanous, A., Walsh, D., O'Neill, F. A., Peltonen, L., Nestadt, G., Lasseter, V. K., Liang, K. Y., Papadimitriou, G. M., Dikeos, D. G., Schwab, S. G., Owen, M. J., O'Donovan, M. C., Norton, N., Hare, E., Raventos, H., Nicolini, H., Albus, M., Maier, W., Nimgaonkar, V. L., Terenius, L., Mallet, J., Jay, M., Godard, S., Nertney, D., Alexander, M., Crowe, R. R., Silverman, J. M., Bassett, A. S., Roy, M-A., Mérette, C., Pato, C. N., Pato, M. T., Louw Roos, J., Kohn, Y., Amann-Zalcenstein, D., Kalsi, G., McQuillin, A., Curtis, D., Brynjolfson, J., Sigmundsson, T., Petursson, H., Sanders, A. R., Duan, J., Jazin, E., Myles-Worsley, M., Karayiorgou, M. and Lewis, C. M. (2008) Meta-analysis of 32 genome-wide linkage studies of schizoph. Molecular Psychiatry, 14 8: 774-785. doi:10.1038/mp.2008.135

Author Ng, M. Y. M.
Levinson, D. F.
Faraone S. V.
Suarez, B. K.
DeLisi, L. E.
Arinami, T.
Riley, B.
Paunio, T.
Pulver, A. E.
Holmans,P. A.
Escamilla, M.
Wildenauer, DB
Williams, N. M.
Laurent, C.
Mowry, Bryan
Brzustowicz, L. M.
Maziade, M.
Sklar, P.
Garver, D. L.
Abecasi, G. R.
Lerer, B.
Fallin, M. D.
Gurling, H. M. D.
Gejman, P. V.
Lindholm, E.
Moises, H. W.
Byerley, W.
Wijsman, E. M.
Forabosco, P.
Tsuang, M. T.
Hwu, H-G.
Okazaki, Y.
Kendler, K. S.
Wormley, B.
Fanous, A.
Walsh, D.
O'Neill, F. A.
Peltonen, L.
Nestadt, G.
Lasseter, V. K.
Liang, K. Y.
Papadimitriou, G. M.
Dikeos, D. G.
Schwab, S. G.
Owen, M. J.
O'Donovan, M. C.
Norton, N.
Hare, E.
Raventos, H.
Nicolini, H.
Albus, M.
Maier, W.
Nimgaonkar, V. L.
Terenius, L.
Mallet, J.
Jay, M.
Godard, S.
Nertney, D.
Alexander, M.
Crowe, R. R.
Silverman, J. M.
Bassett, A. S.
Roy, M-A.
Mérette, C.
Pato, C. N.
Pato, M. T.
Louw Roos, J.
Kohn, Y.
Amann-Zalcenstein, D.
Kalsi, G.
McQuillin, A.
Curtis, D.
Brynjolfson, J.
Sigmundsson, T.
Petursson, H.
Sanders, A. R.
Duan, J.
Jazin, E.
Myles-Worsley, M.
Karayiorgou, M.
Lewis, C. M.
Title Meta-analysis of 32 genome-wide linkage studies of schizoph
Journal name Molecular Psychiatry   Check publisher's open access policy
ISSN 1359-4184
Publication date 2008-12-30
Sub-type Article (original research)
DOI 10.1038/mp.2008.135
Open Access Status Not yet assessed
Volume 14
Issue 8
Start page 774
End page 785
Total pages 12
Editor Julio Licinio
Place of publication United Kingdom
Publisher Nature Publishing Group
Language eng
Subject 321204 Mental Health
920209 Mental Health Services
111714 Mental Health
Abstract A genome scan meta-a nalysis (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 (P SR) 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 genome-wide 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.
Keyword genome
genetic predisposition to disease
linkage (genetics)
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: 2009 Higher Education Research Data Collection
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Citation counts: TR Web of Science Citation Count  Cited 148 times in Thomson Reuters Web of Science Article | Citations
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Created: Wed, 01 Apr 2009, 22:17:53 EST by Carmel Meir on behalf of School of Medicine