Computing power and sample size for case-control association studies with copy number polymorphism: application of mixture-based likelihood ratio test.

ABSTRACT: Recent studies suggest that copy number polymorphisms (CNPs) may play an important role in disease susceptibility and onset. Currently, the detection of CNPs mainly depends on microarray technology. For case-control studies, conventionally, subjects are assigned to a specific CNP category based on the continuous quantitative measure produced by microarray experiments, and cases and controls are then compared using a chi-square test of independence. The purpose of this work is to specify the likelihood ratio test statistic (LRTS) for case-control sampling design based on the underlying continuous quantitative measurement, and to assess its power and relative efficiency (as compared to the chi-square test of independence on CNP counts). The sample size and power formulas of both methods are

SUBMITTER: Kim W 

PROVIDER: S-EPMC2566806 | biostudies-literature | 2008

REPOSITORIES: biostudies-literature