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Activity Number:
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411
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Type:
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Topic Contributed
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Date/Time:
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Wednesday, August 5, 2009 : 8:30 AM to 10:20 AM
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Sponsor:
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Biometrics Section
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| Abstract - #303352 |
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Title:
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Allelic-Based Gene-Gene Interaction in Case-Control Study
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Author(s):
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Jeesun Jung*+
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Companies:
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Indiana University School of Medicine
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Address:
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410 w. 10th street, HITS 5000, Indianapolis, IN, 46202,
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Keywords:
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Allelic test ; Interaction effect ; Score test ; Armitage method
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Abstract:
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In case-control study identifying disease susceptibility loci, it has shown that the interaction caused by single nucleotide polymorphisms (SNPs) at unlinked genes plays an important role to influence risk of a disease. A novel statistical approach is proposed to detect gene-gene interactions at the allelic level contributing to a disease trait. With a new allelic score inferred from the observed genotypes at two or more unlinked SNPs, I test for association of the allelic scores with a disease trait based on a score test derived from logistic regression and a F test from Armitage regression. Based on non-centrality parameter approximation of a score test, the analytical powers and type I error rates over 6 two-interaction models are investigated. Simulation studies demonstrate that the power of the score test is asymptotically equivalent to that of the F test by Armitage method.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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