Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/5241
Title: QTL mapping in multiple families using logistic regression
Contributor(s): Zhang, Yuandan  (author); Tier, Bruce  (author)
Publication Date: 2009
Handle Link: https://hdl.handle.net/1959.11/5241
Abstract: This study compares logistic regression (LR) with maximum likelihood (ML) methods for mapping quantitative trait loci (QTL) in multiple half-sib families under selective or full genotyping strategies, with various levels of marker informativeness and marker interval. In ideal conditions involving evenly located polymorphic markers and all individuals genotyped, both LR and ML methods showed a high power of detecting QTL and produced accurate estimates of QTL locations and effects. Under selective genotyping strategy, the power of ML is limited by regions with low information content. The LR method performed better than ML and is a straight-forward and robust method for this case.
Publication Type: Conference Publication
Conference Name: 18th Conference of the Association for the Advancement of Animal Breeding and Genetics, Barossa Valley, Australia, 28th September - 1st October 2009
Conference Details: 18th Conference of the Association for the Advancement of Animal Breeding and Genetics, Barossa Valley, Australia, 28th September - 1st October 2009
Source of Publication: Proceedings of the Eighteenth Conference of the Association for the Advancement of Animal Breeding and Genetics - Matching Genetics and the Environment a New Look at and Old Topic, p. 664-667
Publisher: AAABG: Association for the Advancement of Animal Breeding and Genetics
Place of Publication: Taringa, Australia
ISSN: 1328-3227
Field of Research (FOR): 060412 Quantitative Genetics (incl Disease and Trait Mapping Genetics)
Socio-Economic Outcome Codes: 830301 Beef Cattle
Peer Reviewed: Yes
HERDC Category Description: E1 Refereed Scholarly Conference Publication
Other Links: http://aaabg.org/aaabg18/
http://trove.nla.gov.au/work/36420775
http://www.aaabg.org/proceedings18/files/zhang664.pdf
Statistics to Oct 2018: Visitors: 197
Views: 199
Downloads: 0
Appears in Collections:Animal Genetics and Breeding Unit (AGBU)
Conference Publication

Files in This Item:
2 files
File Description SizeFormat 
Show full item record

Page view(s)

158
checked on May 3, 2019
Google Media

Google ScholarTM

Check


Items in Research UNE are protected by copyright, with all rights reserved, unless otherwise indicated.