Published in
Cell Press, American Journal of Human Genetics, 1(73), p. 34-48, 2003
DOI: 10.1086/376549
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Tools
Genome Scan Meta-Analysis of Schizophrenia and Bipolar Disorder, Part II: Schizophrenia
,
C. O. Lewis,
Richard E. Straub,
Nigel M. Williams,
Sibylle G. Schwab,
Ann E. Pulver,
Stephen V. Faraone ,
Linda M. Brzustowicz,
Charles A. Kaufmann,
David L. Garver,
Hugh M. D. Gurling
and other authors.
Full text: Download
Abstract
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 (Ravg) and then weighted for sample size (\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} \begin{equation*}\sqrt{N[affected cases]}\end{equation*}\end{document}). A permutation test was used to compute the probability of observing, by chance, each bin’s average rank (PAvgRnk) or of observing it for a bin with the same place (first, second, etc.) in the order of average ranks in each permutation (Pord). The GSMA produced significant genomewide evidence for linkage on chromosome 2q (PAvgRnk