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|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/
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|Appears in Collections:||Animal Genetics and Breeding Unit (AGBU)|
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