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Activity Number: 96
Type: Invited
Date/Time: Monday, August 3, 2009 : 8:30 AM to 10:20 AM
Sponsor: ENAR
Abstract - #302914
Title: Screening and Replication Using the Same Data Set: Testing Strategies for Family-Based Studies in Which All Probands Are Affected
Author(s): Christophe Lange*+
Companies: Harvard University
Address: 655 Huntington Avenue, Department of Biostatistics, Boston, MA, 02115,
Keywords: statistcial genetics ; testing strategies
Abstract:

For genome-wide association studies in family-based designs, we propose a powerful two-stage testing strategy that can be applied in situations in which parent-offspring trio data are available and all offspring are affected with the trait or disease under study. In the first step of the testing strategy, we construct estimators of genetic effect size in the completely ascertained sample of affected offspring and their parents that are statistically independent of the family-based association/transmission disequilibrium tests (FBATs/TDTs) calculated in the second step of the testing strategy. Using simulation studies for scenarios with up to 1,000,000 SNPs, varying allele frequencies and genetic effect sizes, the power of the strategy is compared with standard methodology (e.g., FBATs/TDTs with Bonferroni correction).

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