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An extension of, and comments on, Example 13.
Recent references on marker-assisted introgressions (pages 407--413)
Background: Suppose a number of independent studies have been performed to test for linkage. How can one combine the data from all these tests into a single analysis, especially if the experimental designs are quite different in the different experiments? The statistical field of meta-analysis discusses how to obtain an overall p value given the p values m independent tests. Specifically, let p(i) be the p-value for the i-th test. With m independent tests, -2 Sum Ln[p(i)] follows a chi-square distribution with 2m df (Fisher 1954, pg. 99, Statistical Methods for Research Workers, 12th ed). Recent papers using meta-analysis on linkage data are:
Identifying And Incorporating Genetic Markers And Major Genes In Animal Breeding Programs by Brian Kinghorn and Julius van der Werf (pdf file). Notes from a course given in Belo Horizonte (Brazil) 31 May to 5 June 2000.
The Journal of Quantitative Trait Loci (JQTL),, an electronic journal sponsored by the Crop Science Society of America
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Bruce Walsh. jbwalsh@u.arizona.edu . Comments welcome.