Model for mapping imprinted quantitative trait loci in an inbred F2 design.
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.
Cui
Yuehua
Y
Department of Statistics, University of Florida, Gainesville, FL 32611, USA.
Lu
Qing
Q
Cheverud
James M
JM
Littell
Ramon C
RC
Wu
Rongling
R
D000465:Algorithms; D000483:Alleles; D000818:Animals; D002874:Chromosome Mapping; D003198:Computer Simulation; D003433:Crosses, Genetic; D005260:Female; D005819:Genetic Markers; D016678:Genome; D018392:Genomic Imprinting; D016013:Likelihood Functions; D008297:Male; D051379:Mice; D008815:Mice, Inbred Strains; D008957:Models, Genetic; D009010:Monte Carlo Method; D040641:Quantitative Trait Loci
D005819:Genetic Markers