Home About Browse Search

New methods for mapping quantitative trait loci

Carlborg, Örjan (2002). New methods for mapping quantitative trait loci. Diss. (sammanfattning/summary) Uppsala : Sveriges lantbruksuniv., Acta Universitatis Agriculturae Sueciae. Veterinaria, 1401-6257 ; 121
ISBN 91-576-6362-9
[Doctoral thesis]

[img] PDF


This thesis presents and discusses the use of various genetic models, high performance computing, global optimization algorithms and statistical methods for mapping Quantitative Trait Loci (QTL). The aim of the work has been to develop statistically powerful and computationally efficient methods to detect genomic loci affecting multifactorial traits, and use the methods use to analyse experimental data. Imprinting is an epigenetic phenomena which causes differential expression of alleles based on their parental origin. A genetic model handling imprinting was used during QTL mapping in an experimental Wild Boar x Large White intercross. The analyses revealed a paternally imprinted QTL with large effect on the development of muscle mass. Parallel computing algorithms for interval mapping and randomization testing in QTL mapping are described. New randomization testing schemes are now computationally feasible due to these algorithms. Selection of appropriate kernel algorithms for solving least squares type problems in QTL mapping is discussed. The importance of optimization of QTL mapping software is also illustrated. A genetic algorithm was shown to be efficient in a multidimensional search for interacting QTL. The genetic algorithm significantly decreases the computational demand when employing simultaneous mapping of multiple QTL, and makes randomization testing based on multidimensional searches computationally feasible. A new randomization testing scheme based on simultaneous mapping of epistatic QTL was also proposed and evaluated. A simulation study showed that the method increases the power to detect epistatic QTL. A large intercross was derived between Red junglefowl and White Leghorn chickens. A number of QTL affecting growth was revealed using the newly developed method for simultaneous mapping of epistatic QTL pairs. In total, 21 QTL were identified, and eleven of these were only detected by the new simultaneous mapping method. Epistasis was shown to be an important component in the genetic regulation of the growth process.

Authors/Creators:Carlborg, Örjan
Title:New methods for mapping quantitative trait loci
Series Name/Journal:Acta Universitatis Agriculturae Sueciae. Veterinaria
Year of publishing :October 2002
Number of Pages:46
ALLI. Jeon J-T., Carlborg Ö, Törnsten A, Giuffra E, Amarger V, Chardon P, Andersson-Eklund L, Andersson K, Hansson I, Lundström K & Andersson L. 1999. A paternally expressed QTL affecting skeletal and cardiac muscle mass in pigs maps to the IGF2 locus. Nature Genetics 21, 157-158. II. Carlborg, Ö., Andersson-Eklund, L., & Andersson, L. 2001. Parallel computing in interval mapping of quantitative trait loci. Journal of Heredity 92, 449-451 III. Carlborg, Ö., Andersson, L. & Kinghorn, B. 2000. The use of a genetic algorithm for simultaneous mapping of multiple interacting quantitative trait loci. Genetics 155, 2003-2010. IV. Carlborg, Ö & Andersson, L. 2002. The use of randomization testing for detection of multiple epistatic QTL. Genetical Research. In Press (Cambridge University Press). V. Carlborg, Ö., Kerje, S., Schütz, K., Jacobson, L., Jensen, P. & Andersson, L. Detection of single QTL and simultaneously mapped epistatic QTL pairs explaining a large proportion of the difference in growth between the Red junglefowl and White Leghorn chickens. (Submitted)
Place of Publication:Uppsala
ISBN for printed version:91-576-6362-9
Publication Type:Doctoral thesis
Full Text Status:Public
Agris subject categories.:L Animal production > L10 Animal genetics and breeding
U Auxiliary disciplines > U10 Mathematical and statistical methods
Subjects:Not in use, please see Agris categories
Agrovoc terms:genotypes, genetic maps, loci, swine, computer applications, mathematical models, optimization methods
Keywords:QTL, imprinting, epistasis, high performance computing, randomization testing, genetic algorithm
Permanent URL:
ID Code:87
Department:(VH) > Dept. of Animal Breeding and Genetics
Deposited By: Staff Epsilon
Deposited On:17 Oct 2002 00:00
Metadata Last Modified:02 Dec 2014 10:01

Repository Staff Only: item control page


Downloads per year (since September 2012)

View more statistics