Hostname: page-component-848d4c4894-5nwft Total loading time: 0 Render date: 2024-06-01T09:47:18.871Z Has data issue: false hasContentIssue false

Using Identity-by-descent Information in Affected Sib Pairs to Increase the Efficiency of Genetic Association Studies

Published online by Cambridge University Press:  21 February 2012

Jacqueline Wicks*
Affiliation:
Queensland Institute of Medical Research, Brisbane,Australia. jackiW@qimr.edu.au
Susan A. Treloar
Affiliation:
Queensland Institute of Medical Research, Brisbane,Australia.
Nicholas G. Martin
Affiliation:
Queensland Institute of Medical Research, Brisbane,Australia.
*
*Address for correspondence: Jacqueline Wicks, Queensland Institute of Medical Research, Brisbane Qld 4029, Australia.

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

The aim of this study was to determine whether identity-by-descent (IBD) information for affected sib pairs (ASPs) can be used to select a sample of cases for a genetic case-control study which will provide more power for detecting association with loci in a known linkage region. By modeling the expected frequency of the disease allele in ASPs showing IBD sharing of 0, 1, or 2 alleles, and considering additive, recessive, and dominant disease models, we show that cases selected from IBD 2 families are best for this purpose, followed by those selected from IBD 1 families; least useful are cases selected from IBD 0 families.

Type
Articles
Copyright
Copyright © Cambridge University Press 2004