Abstract:
:Functional mapping is a useful tool for mapping quantitative trait loci (QTL) that control dynamic traits. It incorporates mathematical aspects of biological processes into the mixture model-based likelihood setting for QTL mapping, thus increasing the power of QTL detection and the precision of parameter estimation. However, in many situations there is no obvious functional form and, in such cases, this strategy will not be optimal. Here we propose to use nonparametric function estimation, typically implemented with B-splines, to estimate the underlying functional form of phenotypic trajectories, and then construct a nonparametric test to find evidence of existing QTL. Using the representation of a nonparametric regression as a mixed model, the final test statistic is a likelihood ratio test. We consider two types of genetic maps: dense maps and general maps, and the power of nonparametric functional mapping is investigated through simulation studies and demonstrated by examples.
journal_name
Biometricsjournal_title
Biometricsauthors
Yang J,Wu R,Casella Gdoi
10.1111/j.1541-0420.2008.01063.xsubject
Has Abstractpub_date
2009-03-01 00:00:00pages
30-9issue
1eissn
0006-341Xissn
1541-0420pii
BIOM1063journal_volume
65pub_type
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