Group sequential testing of homogeneity in genetic linkage analysis

Yin Cui, Yuejiao Fu and Abdulkadir Hussein

Computational Statistics & Data Analysis, 2009, vol. 53, issue 10, 3630-3639

Abstract: Human genetic linkage studies have the objective of testing whether disease genes are linked to genetic markers based on family genetic data. Sometimes, these studies require many years of recruiting informative families and large amount of funds. One way to reduce the required sample size for such studies is to use sequential testing procedures. In this paper, we investigate two group sequential tests for homogeneity in binomial mixture models that are commonly used in genetic linkage analysis. We conduct Monte Carlo simulations to examine the performance of the group sequential procedures. The results show that the proposed group sequential procedures can save, on average, substantial sample size and detect linkage with almost the same power as their nonsequential counterparts.

Date: 2009
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