Abstract |
Genetic studies of uniparental disomy (UPD) employing many markers have helped geneticists to gain a better understanding of the molecular mechanisms underlying nondisjunction. However, most existing methods cannot simultaneously analyze all genetic markers and consistently incorporate crossover interference; they thus fail to make the most use of genetic information in the data. In the present article, we describe a hidden Markov model for multilocus uniparental disomy data. This method is based on the chi-square model for the crossover process and can simultaneously incorporate all marker information including untyped and uninformative markers. We then apply this novel method to analyze a set of UPD15 data.
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Authors | H Zhao, J Li, W P Robinson |
Journal | Biometrics
(Biometrics)
Vol. 57
Issue 4
Pg. 1074-9
(Dec 2001)
ISSN: 0006-341X [Print] England |
PMID | 11764246
(Publication Type: Journal Article, Research Support, Non-U.S. Gov't, Research Support, U.S. Gov't, P.H.S.)
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Chemical References |
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Topics |
- Biometry
- Chi-Square Distribution
- Chromosomes, Human, Pair 15
(genetics)
- Female
- Genetic Markers
- Humans
- Male
- Markov Chains
- Models, Genetic
- Models, Statistical
- Uniparental Disomy
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