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Statistical analysis of uniparental disomy data using hidden Markov models.

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.
AuthorsH Zhao, J Li, W P Robinson
JournalBiometrics (Biometrics) Vol. 57 Issue 4 Pg. 1074-9 (Dec 2001) ISSN: 0006-341X [Print] England
PMID11764246 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't, Research Support, U.S. Gov't, P.H.S.)
Chemical References
  • Genetic Markers
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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