Murdoch University Research Repository

Welcome to the Murdoch University Research Repository

The Murdoch University Research Repository is an open access digital collection of research
created by Murdoch University staff, researchers and postgraduate students.

Learn more

Power calculations for selective genotyping in QTL mapping in backcross mice

Rabbee, N., Speca, D., Armstrong, N.J.ORCID: 0000-0002-4477-293X and Speed, T.P. (2004) Power calculations for selective genotyping in QTL mapping in backcross mice. Genetical Research, 84 (2). pp. 103-108.

Link to Published Version: http://dx.doi.org/10.1017/S0016672304007086
*Subscription may be required

Abstract

Selective genotyping concerns the genotyping of a portion of individuals chosen on the basis of their phenotypic values. Often individuals are selected for genotyping from the high and low extremes of the phenotypic distribution. This procedure yields savings in cost and time by decreasing the total number of individuals genotyped. Previous work by Darvasi et al. (1993) has shown that the power to detect a QTL by genotyping 40–50% of a population is roughly equivalent to genotyping the entire sample. However, these power studies have not accounted for different strategies of analysing the data when phenotypes of individuals in the middle are excluded, nor have they investigated the genome-wide type I error rate under these different strategies or different selection percentages. Further, these simulation studies have not considered markers over the entire genome. In this paper, we present simulation studies of power for the maximum likelihood approach to QTL mapping by Lander & Botstein (1989) in the context of selective genotyping. We calculate the power of selectively genotyping the individuals from the middle of the phenotypic distribution when performing QTL mapping over the whole mouse genome.

Item Type: Journal Article
Publisher: Cambridge University Press
Copyright: © 2004 Cambridge University Press
URI: http://researchrepository.murdoch.edu.au/id/eprint/29728
Item Control Page Item Control Page