The majority of efforts for QTL mapping have used a hypothesis testing approach. For example, in single-QTL analyses (Chap. 4), one considers each genomic position, one at a time, and asks the question, “Is there a QTL here?” A primary focus is on the adjustment for the number of tests (i.e., for the scan across the genome), to control the rate of false positive declarations of linkage.
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© 2009 Springer-Verlag New York
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Broman, K.W., Sen, Ś. (2009). Fit and exploration of multiple-QTL models. In: A Guide to QTL Mapping with R/qtl. Statistics for Biology and Health. Springer, New York, NY. https://doi.org/10.1007/978-0-387-92125-9_9
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