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A Note on the Genome Scan Meta‐Analysis Statistic
Author(s) -
Koziol J. A.,
Feng A. C.
Publication year - 2004
Publication title -
annals of human genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.537
H-Index - 77
eISSN - 1469-1809
pISSN - 0003-4800
DOI - 10.1046/j.1529-8817.2004.00103.x
Subject(s) - statistic , hum , meta analysis , rank (graph theory) , statistics , genome , statistical analysis , null hypothesis , null distribution , computational biology , computer science , mathematics , biology , statistical hypothesis testing , genetics , medicine , test statistic , combinatorics , gene , history , performance art , art history
Summary 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.