title: A note on the genome scan meta-analysis statistic.
abstract: Wise and colleagues (Ann. Hum. Genet. (1999) 63: 263-72) introduced a rank-based statistical technique for meta-analysis of genome scans, the Genome Scan Meta-Analysis (GSMA) method. We provide an alternative derivation of the null distribution of the GSMA statistic, with extensions, and we suggest approximations to the distribution of the GSMA statistic that may be useful in applications.
authors.affiliation: Biomathematics Division, Department of Molecular and Experimental Medicine, The Scripps Research Institute, La Jolla, CA 92037, USA. koziol@scripps.edu
authors.forename: J A
authors.initials: JA
authors.lastname: Koziol
authors.forename: A C
authors.initials: AC
authors.lastname: Feng
mesh_terms: D002874:Chromosome Mapping; D008040:Genetic Linkage; D020022:Genetic Predisposition to Disease / Q000235:genetics*; D015894:Genome, Human; D006801:Humans; D015201:Meta-Analysis as Topic; D013223:Statistics as Topic