Maximum likelihood mapping of quantitative trait loci using full-sib families

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

A maximum likelihood method is presented for the detection of quantitative trait loci (QTL) using flanking markers in full-sib families. This method incorporates a random component for common family effects due to additional QTL or the environment. Simulated data have been used to investigate this method. With a fixed total number of full sibs power of detection decreased substantially with decreasing family size. Increasing the number of alleles at the marker loci (i.e., polymorphism information content) and decreasing the interval size about the QTL increased power. Flanking markers were more powerful than single markers. In testing for a linked QTL the test must be made against a model which allows for between family variation (i.e., including an unlinked QTL or a between family variance component) or the test statistic may be grossly inflated. Mean parameter estimates were close to the simulated values in all situations when fitting the full model (including a linked QTL and common family effect). If the common family component was omitted the QTL effect was overestimated in data in which additional genetic variance was simulated and when compared with an unlinked QTL model there was reduced power. The test statistic curves, reflecting the likelihood of the QTL at each position along the chromosome, have discontinuities at the markers caused by adjacent pairs of markers providing different amounts of information. This must be accounted for when using flanking markers to search for a QTL in an outbred population.
Original languageEnglish
Pages (from-to)1211-22
Number of pages12
JournalGenetics
Volume132
Issue number4
Publication statusPublished - Dec 1992

Keywords / Materials (for Non-textual outputs)

  • Animals
  • Breeding
  • Chromosome Mapping
  • Genetic Linkage
  • Genetic Markers
  • Likelihood Functions
  • Models, Biological
  • Pedigree

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