QTL mapping using logistic regression

Author(s)
Zhang, Yuandan
Tier, Bruce
Publication Date
2005
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.
Citation
Proceedings of the Association for the Advancement of Animal Breeding and Genetics, v.16, p. 354-357
ISBN
064309234X
0643092331
ISSN
1328-3227
Link
Title
QTL mapping using logistic regression
Type of document
Conference Publication
Entity Type
Publication

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