JSM 2004 - Toronto

Abstract #301199

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Activity Number: 200
Type: Contributed
Date/Time: Tuesday, August 10, 2004 : 9:00 AM to 10:50 AM
Sponsor: General Methodology
Abstract - #301199
Title: Imprinting Detection by Extending a Regression-based QTL Method: An Extensive Simulation Study
Author(s): Lei Lei*+ and Olga Gorlova
Companies: University of Texas M.D. Anderson Cancer Center and University of Texas MD Anderson Cancer Center
Address: Dept of Biological Sciences, Lubbock, TX, 79409-3131,
Keywords: linkage analysis ; imprinting ; regression-based QTL method ; simulation
Abstract:

We extended Sham et al.'s regression-based quantitative-trait linkage analysis method by regressing overall, paternal and maternal IBD sharing on traits separately. We also extended the method to calculate an imprinting index statistics. We suggest using a panel of statistics to detect imprinting, which includes overall T, both parental T statistics and the D index. After an extensive simulation study, we found that when using empirical percentiles (1) the method is extremely powerful by showing clear imprinting patterns with correct Type I error rate for the nonimprinted IBD, although the test of imprinting is too conservative; (2) the method is not sensitive to misspecification of heritability; (3) with low genetic heritability, power of the method decreases dramatically but the panel still performs well; (4) misspecification of the mean of trait decreases the power dramatically; and (5) missing parental marker increases Type I error of both linkage and imprinting test and decreases the power of imprinting test. The method is applied to a data set with six body size related measures and 23 loci on chromosome seven for 255 nuclear families. Linkage and imprinting are both detected.


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