JSM 2005 Online Program

Abstract #303746

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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Activity Number:	370
Type:	Contributed
Date/Time:	Wednesday, August 10, 2005 : 8:30 AM to 10:20 AM
Sponsor:	Section on Statistical Computing
Abstract - #303746
Title:	Application of a Hidden Markov Model To Calculate the Probability of Ancestral Origin of Partially Informative Markers
Author(s):	Stephen Kachman*+
Companies:	University of Nebraska
Address:	Department of Statistics, Lincoln, NE, 68583-0712, United States
Keywords:	Hidden Markov Model
Abstract:	Two outbred Drosophila melanogaster were used to produce 143 recombinant inbred lines. The presence or absence of transposable elements at 150 loci spread across three chromosomes were available as markers. Because the markers were biallelic, they are only partially informative about the parental origin of the marker allele. A profile hidden Markov model was developed in which the hidden states were the ancestral origin of either a marker allele or a putative quantitative trait allele. The observed states were the observed marker genotype at the location, and the transition probabilities were the recombination rates between the loci. The model was then used to estimate a combined linkage map for the marker loci. Probabilities of ancestral origin were estimated for the marker alleles and the putative quantitative trait alleles.

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