Model for mapping imprinted quantitative trait loci in an inbred F2 design

Genomics. 2006 Apr;87(4):543-51. doi: 10.1016/j.ygeno.2005.11.021. Epub 2006 Jan 18.


The role of imprinting in shaping development has been ubiquitously observed in plants, animals, and humans. However, a statistical method that can detect and estimate the effects of imprinted quantitative trait loci (iQTL) over the genome has not been extensively developed. In this article, we propose a maximum likelihood approach for testing and estimating the imprinted effects of iQTL that contribute to variation in a quantitative trait. This approach, implemented with the EM algorithm, allows for a genome-wide scan for the existence of iQTL. This approach was used to reanalyze published data in an F(2) family derived from the LG/S and SM/S mouse strains. Several iQTL that regulate the growth of body weight by expressing paternally inherited alleles were identified. Our approach provides a standard procedure for testing the statistical significance of iQTL involved in the genetic control of complex traits.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Alleles
  • Animals
  • Chromosome Mapping*
  • Computer Simulation
  • Crosses, Genetic
  • Female
  • Genetic Markers
  • Genome
  • Genomic Imprinting*
  • Likelihood Functions
  • Male
  • Mice
  • Mice, Inbred Strains
  • Models, Genetic*
  • Monte Carlo Method
  • Quantitative Trait Loci*


  • Genetic Markers