Nonparametric linkage power by simulations and multivariate normal approximations. This thesis develops a simulation method to estimate the power of a planned genetic linkage study. The focus is on the common design of nuclear families consisting of affected sib pairs and their parents. In particular it is described how the power for a nonparametric linkage analysis (here, one where NPL scores will be calculated) can be obtained using both an “exact” approach (meaning no distributional approximations have been made) and using a less computer-intensive multivariate normal approximation. par The crux of the method is the generation of marker data given a specific genetic model. The methodology is based around the genetic analysis package GENEHUNTER. However, the approach can be adapted to deal with any statistic, not just the NPL score. Extensive discussion is given of a power study for multiple sclerosis based on real data.
References in zbMATH (referenced in 1 article )
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- Knutsson, Mikael: Nonparametric linkage power by simulations and multivariate normal approximations (1999)