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