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Genome scan meta-analysis of schizophrenia and bipolar disorder, part II: Schizophrenia (2003)

Abstract
To access publisher full text version of this article. Please click on the hyperlink in Additional Links field. Schizophrenia is a common disorder with high heritability and a 10-fold increase in risk to siblings of probands. Replication has been inconsistent for reports of significant genetic linkage. To assess evidence for linkage across studies, rank-based genome scan meta-analysis (GSMA) was applied to data from 20 schizophrenia genome scans. Each marker for each scan was assigned to 1 of 120 30-cM bins, with the bins ranked by linkage scores (1 = most significant) and the ranks averaged across studies (R(avg)) and then weighted for sample size (N(sqrt)[affected casess]). A permutation test was used to compute the probability of observing, by chance, each bin's average rank (P(AvgRnk)) or of observing it for a bin with the same place (first, second, etc.) in the order of average ranks in each permutation (P(ord)). The GSMA produced significant genomewide evidence for linkage on chromosome 2q (PAvgRnk

Publication details
Download http://hdl.handle.net/2336/66733
Publisher University of Chicago Press
Contributors Division of Genetics and Development, Guy's, King's & St Thomas' School of Medicine, London, UK.
Repository Hirsla - Landspítali University Hospital ()
Keywords Bipolar Disorder
Type Article
Language English
Relation http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=1180588