JSM 2004 Online Program

Abstract #300185

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Activity Number:	363
Type:	Invited
Date/Time:	Wednesday, August 11, 2004 : 2:00 PM to 3:50 PM
Sponsor:	Biometrics Section
Abstract - #300185
Title:	Fraction of Missing Information with Selective Genotyping in QTL-mapping
Author(s):	Saunak Sen*+
Companies:	University of California, San Francisco
Address:	Department of Epidemiology and Biostatistics, San Francisco, CA, 94143-0560,
Keywords:
Abstract:	Selective genotyping strategies are very effective in reducing genotyping costs at the cost of losing some information. We show, for the backcross, that there is a very simple formula for computing the fraction of missing information at a location that has been incompletely genotyped. Using this formula, we find that for almost any effect size, genotyping a quarter of both extremes of the population gives at least 80% of the information. Additionally, the bias in the Haley-Knott algorithm for computing LOD scores is related to the fraction of missing information.

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