JSM 2005 - Toronto

Abstract #302292

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 300
Type: Invited
Date/Time: Tuesday, August 9, 2005 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics in Epidemiology
Abstract - #302292
Title: Quantitative Trait Mapping Study Design from an Information Perspective
Author(s): Saunak Sen*+ and Jaya Satagopan and Gary Churchill
Companies: University of California, San Francisco and Memorial Sloan-Kettering Cancer Center and The Jackson Laboratory
Address: Department of Epidemiology and Biostatistics, San Francisco, CA, 94143, United States
Keywords: QTL ; outcome-based sampling ; EM algorithm ; missing information
Abstract:

In this paper, we consider inbred line crosses from an information perspective in order to examine the efficiency of different genotyping and phenotyping strategies. We quantify the fraction of missing information of any genotyping strategy, including the special case of selectively genotyping only the phenotypic extreme individuals. We also consider the information content of selective phenotyping designs and the impact of measurement error in phenotyping. A simple formula is provided that quantifies the information content of any combined phenotyping and genotyping design.

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Revised March 2005