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A method for single trait quantitative trait loci estimation in F₂ crosses between outbred lines

conference contribution
posted on 06.12.2017, 00:00 by JW Daley, Ross ShepherdRoss Shepherd, J Henshall
A new approach for Quantitative Trait Loci (QTL) analysis in designed experiments is investigated using a mixed model framework through the modification of segment mapping techniques. Allele effects are modelled in the F1 generation allowing the estimation of additive substitution effects while accounting for QTL segregation within lines as well as differences in mean QTL effects between lines. The resulting approach is called F1 origin mapping where additive genetic variances are estimated via Restricted Maximum Likelihood (REML) and allele effects are modelled using Best Linear Unbiased Prediction (BLUP). By coupling this new approach with the computer program ASREML, F1 origin mapping provides a flexible and efficient tool for QTL studies. A simple genetic simulation study is presented to illustrate the method and its properties.

Funding

Category 1 - Australian Competitive Grants (this includes ARC, NHMRC)

History

Start Page

1

End Page

4

Number of Pages

4

Start Date

01/01/2003

Finish Date

01/01/2003

ISBN-10

0958629927

Location

Melbourne, Australia

Publisher

Association for the Advancement of Animal Breeding and Genetics

Place of Publication

Armidale, N.S.W.

Peer Reviewed

Yes

Open Access

No

External Author Affiliations

CSIRO Livestock Industries; Conference; Faculty of Informatics and Communication; TBA Research Institute;

Era Eligible

Yes

Name of Conference

Association for the Advancement of Animal Breeding and Genetics. Conference

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