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Abstract
Linkage analysis with molecular genetic markers is a very powerful tool in the biological
research of quantitative traits. The lack of an easy way to know what areas of the
genome can be designated as statistically significant for containing a gene affecting
the quantitative trait of interest hampers the important prediction of the rate of
false positives. In this paper four tables, obtained by large-scale simulations, are
presented that can be used with a simple formula to get the false-positives rate for
analyses of the standard types of experimental populations with diploid species with
any size of genome. A new definition of the term 'suggestive linkage' is proposed
that allows a more objective comparison of results across species.