JSM 2005 - Toronto

Abstract #303425

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.

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.

The Program has labeled the meeting rooms with "letters" preceding the name of the room, designating in which facility the room is located:

Minneapolis Convention Center = “MCC” Hilton Minneapolis Hotel = “H” Hyatt Regency Minneapolis = “HY”

Back to main JSM 2005 Program page
Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 95
Type: Topic Contributed
Date/Time: Monday, August 8, 2005 : 8:30 AM to 10:20 AM
Sponsor: Biometrics Section
Abstract - #303425
Title: Statistical Methods for Genetic Association Studies in Isolated Populations
Author(s): Ning Sun*+
Companies: Yale University
Address: School of Medicine, New Haven, CT, 06520-8034, United States
Keywords: statistical genetics ; genetic epidemiology ; association ; inbreeding ; kinship coefficient
Abstract:

For genome-wide genetic association studies in isolated populations, one potential bias may be unknown genetic structures in the sample. These include unknown degrees of inbreeding and unknown relationships in the collected samples. We recently developed novel statistical methods to use genomic markers in large-scale, genome-wide scans to infer localized inbreeding coefficients for the sampled individuals and localized kinship coefficients for pairs of samples. The inferred sample-structure information is then incorporated in genetic association analysis. In this talk, we will describe our developed statistical methods and demonstrate their usefulness and power through simulation studies in addition to their applications to a real genetic study.

  • 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 2005 program

JSM 2005 For information, contact jsm@amstat.org or phone (888) 231-3473. If you have questions about the Continuing Education program, please contact the Education Department.
Revised March 2005