Abstract #300934

This is the preliminary program for the 2003 Joint Statistical Meetings in San Francisco, California. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 2-5, 2003); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

To View the Program:
You may choose to view all activities of the program or just parts of it at any one time. All activities are arranged by date and time.

The views expressed here are those of the individual authors
and not necessarily those of the ASA or its board, officers, or staff.

Back to main JSM 2003 Program page
JSM 2003 Abstract #300934
Activity Number: 337
Type: Contributed
Date/Time: Wednesday, August 6, 2003 : 8:30 AM to 10:20 AM
Sponsor: Biopharmaceutical Section
Abstract - #300934
Title: An EM Algorithm for Haplotype Frequency Estimation Using Parent-offspring Trios
Author(s): Xiang Yu*+ and Dahlia Nielsen and Bruce S. Weir
Companies: North Carolina State University and North Carolina State University and North Carolina State University, Raleigh
Address: 105 Kempwood Dr. Apt. 2A, Cary, NC, 27513-9611,
Keywords: haplotype ; trio
Abstract:

Inferring haplotypes from genotype data is generally accomplished with the EM algorithm for samples of unrelated individuals or by examination of parent-offspring transmissions in pedigrees. The EM algorithm cannot be used when there are dependencies among individuals, and pedigree methods are hampered when multiple loci are heterozygous. We propose a modified EM algorithm under the assumption of Hardy-Weinberg equilibrium (HWE) to infer the maximum likelihood estimates of haplotype frequencies using parent-offspring trios, so that we combine the advantages of unrelated samples and family data. By considering only the haplotypes that could possibly have been transmitted from parent to offspring, our EM algorithm can appropriately take into account the family dependencies. This new EM algorithm also carefully handles the common situation of not all loci being typed for all individuals. Simulation studies show the new algorithm to be superior to the usual EM algorithm that uses only independent parents or that uses all individuals but ignores the dependencies.

  • The address information is for the authors that have a + after their name.
  • Authors who are presenting talks have a * after their name.

Back to the full JSM 2003 program

JSM 2003 For information, contact meetings@amstat.org or phone (703) 684-1221. If you have questions about the Continuing Education program, please contact the Education Department.
Revised March 2003