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Part of the book series: Statistics for Biology and Health ((SBH))

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In the preceding chapter, we described the basic principle for interval mapping of QTLs within the maximum likelihood context, but two fundamental questions should be addressed toward the QTL analysis of complex traits. First, what is the critical threshold of the test statistic that can be used to declare the statistical significance of a QTL? Second, after the significant QTL is determined, how are the estimates of likelihoods and QTL parameters adequately precise to make a scientific inference about QTL position and effect? Statistically, these two questions present different aspects of QTL mapping, but we will describe them here in a single chapter as two important follow-ups of QTL mapping.

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© 2007 Springer Science + Business Media, LLC

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(2007). Threshold and Precision Analysis. In: Statistical Genetics of Quantitative Traits. Statistics for Biology and Health. Springer, New York, NY. https://doi.org/10.1007/978-0-387-68154-2_12

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