Abstract #301915

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 #301915
Activity Number: 374
Type: Contributed
Date/Time: Wednesday, August 6, 2003 : 10:30 AM to 12:20 PM
Sponsor: Biopharmaceutical Section
Abstract - #301915
Title: QTL Detection with Selective DNA Pooling
Author(s): Jing Wang*+ and Kenneth J. Koehler and Jack Dekkers
Companies: Iowa State University and Iowa State University and Iowa State University
Address: 231 Kildee Hall, Ames, IA, 50010,
Keywords: QTL detection ; DNA pooling ; maximum likelihood ; multiple markers
Abstract:

Selective DNA pooling is an efficient method to identify chromosomal regions that harbor quantitative trait loci (QTL) by estimating marker allele frequencies in pooled DNA from phenotypically extreme individuals. It substantially reduces cost because genotype at markers does not need to be determined for each individual but a quantitative estimate of allele frequencies in pooled DNA samples can be used. We examine least squares and maximum likelihood estimation procedures that effectively utilize information on multiple linked markers. This method can be used for analysis of half-sib, F2, and backcross designs. Although this method has greater power than single-marker tests, it can result in biased estimates of QTL position for distal QTL. Consistency of the estimation methods is also an issue. Methods that attempt to reduce bias and improve efficiency will be discussed.


  • 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