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A critical evaluation of the effect of population size and phenotypic measurement on QTL detection and localization using a large F2 murine mapping population

  • Xinmin Li
  • , Richard J. Quigg
  • , Jian Zhou
  • , Shizhong Xu
  • , Godfred Masinde
  • , Subburaman Mohan
  • , David J. Baylink
  • The University of Chicago
  • Loma Linda University Health
  • University of California at Riverside

Research output: Contribution to journalArticlepeer-review

29 Scopus citations

Abstract

Population size and phenotypic measurement are two key factors determining the detection power of quantitative trait loci (QTL) mapping. We evaluated how these two controllable factors quantitatively affect the detection of QTL and their localization using a large F2 murine mapping population and found that three main points emerged from this study. One finding was that the sensitivity of QTL detection significantly decreased as the population size decreased. The decrease in the percentage logarithm of the odd score (LOD score, which is a statistical measure of the likelihood of two loci being lied near each other on a chromosome) can be estimated using the formula 1 - n/N, where n is the smaller and N the larger population size. This empirical formula has several practical implications in QTL mapping. We also found that a population size of 300 seems to be a threshold for the detection of QTL and their localization, which challenges the small population sizes commonly-used in published studies, in excess of 60% of which cite population sizes <300. In addition, it seems that the precision of phenotypic measurement has a limited capacity to affect detection power, which means that quantitative traits that cannot be measured precisely can also be used in QTL mapping for the detection of major QTL. Copyright by the Brazilian Society of Genetics.

Original languageEnglish
Pages (from-to)166-173
Number of pages8
JournalGenetics and Molecular Biology
Volume29
Issue number1
DOIs
StatePublished - 2006

Keywords

  • Detection power
  • Mice
  • Phenotypic measurement
  • Population size
  • QTL mapping

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