Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/4502
Title: QTL mapping using logistic regression
Contributor(s): Zhang, Yuandan  (author); Tier, Bruce  (author)
Publication Date: 2005
Handle Link: https://hdl.handle.net/1959.11/4502
Abstract: This study compares logistic regression (LR) with maximum likelihood (ML) for mapping quantitative trait loci (QTL) in halfsib family with respect to genotyping schemes (full and selective), various levels of marker informativeness and marker interval. Under selective genotyping, the power of ML is limited in regions with low information contents. In this case, LR performed better than ML and provides a straightforward and robust solution to such situation.
Publication Type: Conference Publication
Conference Name: 16th Conference of the Association for the Advancement of Animal Breeding and Genetics, Noosa Lakes, Australia , 25th September - 28th September, 2005
Conference Details: 16th Conference of the Association for the Advancement of Animal Breeding and Genetics, Noosa Lakes, Australia , 25th September - 28th September, 2005
Source of Publication: Application of new genetic technologies to animal breeding: Proceedings of the 16th Conference of the Association for the Advancement of Animal Breeding and Genetics, p. 354-357
Publisher: CSIRO Publishing
Place of Publication: Collingwood, Australia
ISSN: 1328-3227
Field of Research (FOR): 070201 Animal Breeding
Socio-Economic Outcome Codes: 830311 Sheep - Wool
Peer Reviewed: Yes
HERDC Category Description: E1 Refereed Scholarly Conference Publication
Other Links: http://www.aaabg.org/livestocklibrary/2005/354zhang.pdf
http://trove.nla.gov.au/work/13321110
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Appears in Collections:Animal Genetics and Breeding Unit (AGBU)
Conference Publication

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