Published in
Cell Press, American Journal of Human Genetics, 1(73), p. 49-62, 2003
DOI: 10.1086/376547
Links
- ORCID
- ORCID
- ORCID
- ORCID
- ORCID
- Cell Press
- [www.ncbi.nlm.nih.gov] | PDF
- [hdl.handle.net]
- [www.julkari.fi]
- [kclpure.kcl.ac.uk]
- [discovery.ucl.ac.uk]
- [hdl.handle.net]
- [www.ncbi.nlm.nih.gov] | PDF
- [www.ncbi.nlm.nih.gov] | PDF
- [citeseerx.ist.psu.edu] | PDF
- [depressiongenetics.stanford.edu] | PDF
Tools
Genome Scan Meta-Analysis of Schizophrenia and Bipolar Disorder, Part III: Bipolar Disorder
,
Douglas F. Levinson,
Cathryn M. Lewis,
Michael Gill,
Jr. John I. Nurnberger,
Nick Craddock,
J. Raymond DePaulo,
Miron Baron,
Elliot S. Gershon,
Jenny Ekholm,
Sven Cichon,
Gustavo Turecki,
J. Morisette
and other authors.
Full text: Download
Abstract
Genome scans of bipolar disorder (BPD) have not produced consistent evidence for linkage. The rank-based genome scan meta-analysis (GSMA) method was applied to 18 BPD genome scan data sets in an effort to identify regions with significant support for linkage in the combined data. The two primary analyses considered available linkage data for "very narrow" (i.e., BP-I and schizoaffective disorder - BP) and "narrow" (i.e., adding BP-II disorder) disease models, with the ranks weighted for sample size. A "broad" model (i.e., adding recurrent major depression) and unweighted analyses were also performed. No region achieved genomewide statistical significance by several simulation-based criteria. The most significant P values (