Abstract #300699

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JSM 2003 Abstract #300699
Activity Number: 288
Type: Contributed
Date/Time: Tuesday, August 5, 2003 : 2:00 PM to 3:50 PM
Sponsor: ENAR
Abstract - #300699
Title: Mapping Genes for Quantitative Traits Using Discordant Sibling Pairs--New Statistics and New Possibilities
Author(s): Jin P. Szatkiewicz*+ and Karen Cuenco and Eleanor Feingold
Companies: University of Pittsburgh and University of Pittsburgh
Address: 5628 Hempstead St., Pittsburgh, PA, 15217,
Keywords: statistical genetics ; linkage analysis ; quantitative trait locus ; sibling pairs
Abstract:

A very important research area in human genetics is the effort to map genes associated with complex diseases. Recently a number of new methods have been developed for using sibling pairs to map genes for quantitative traits. Most of these methods were developed for population samples of sibling pairs, but many of them are potentially applicable to selected samples as well. We studied the applicability of these statistics to samples of "discordant pairs," in which one sibling has a high trait value and the other has a low trait value. Using two different definitions of "cutoff" trait values, we used simulation to study the Type I error and power of various statistics for both extreme discordant sibling pairs(one sibling in the top 10% of the distribution and one in the bottom 10%) and moderately discordant sibling pairs (top and bottom 35%). For extremely discordant sibling pairs, the traditional statistic for discordant pairs performs fairly well. But for moderately discordant pairs, several newer statistics have higher power. We suggest that the new statistics are appropriate for many other designs as well, and that they open the way for exploration of entirely novel designs

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