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Activity Number:
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426
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Type:
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Contributed
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Date/Time:
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Wednesday, August 9, 2006 : 10:30 AM to 12:20 PM
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Sponsor:
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Biometrics Section
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| Abstract - #305562 |
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Title:
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Likelihood of a Particular Order of Genetic Markers and the Construction of Genetic Maps
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Author(s):
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Susanta Tewari*+
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Companies:
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University of Georgia
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Address:
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210 Rogers Road, Apt. Q214, Athens, GA, 30605,
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Keywords:
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recombination ; EM algorithm ; simulated annealing ; MLE
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Abstract:
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We model the recombination process of fungal systems for both random spore and tetrad data. Assuming no interference, a probability model framework was developed for two genes. MLE estimators for both random and tetrad data were studied. It was shown that the MLE estimator of recombination for tetrad data is uniformly more efficient than that from random spore data. The probability framework is generalized for an arbitrary number of genes, and the MLE was computed using the EM algorithm. Asymptotics for a goodness-of-fit measure, suitable for a sparse data situation, was derived. We implemented our model with data on linkage group-I of Neurospora crassa. Simulated annealing was used to search for the best order of genetic markers, and the goodness-of-fit value is consistent with the model assumptions.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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