Statistical analysis of genetic analysis workshop 12data

这个项目涉及对遗传分析研讨会12的模拟数据集的分析。GAW12的数据组织委员会模拟了一组复杂质量性状的数据。我们使用这些数据来比较我和我的合作者正在开发的两个新的基于家族的连锁不平衡测试与已发表的传递不平衡测试(TDT)的其他几个实现的能力。我们表明，在最初提供的小样本中，这些测试都没有足够的功率，但当所有重复组合在一起产生一个大型数据集时，所有方法都具有很好的能力来检测基因座，而在基因组范围的显著水平上对性状的影响非常小。我们的一种新方法特别成功，因为我们能够证明它产生了对重组分数和结合的一般衡量标准的良好估计，这是TDT所不能完成的。最近在GAW12研讨会上介绍了这些结果，并正在编写一篇论文。

This project involved analysis of a simulated dataset from the Genetic Analysis Workshop 12. A set of data for a complex qualitative trait was simulated by the data organizing committee of the GAW12. We used these data to compare the power of two new family-based tests of linkage disequilibrium that are being developed by me and my collaborators to several other implementations of the published Transmission Disequilibrium Test (TDT). We showed that none of these tests had adequate power in the small samples originally supplied, but that when all the replicates were combined to yield a large dataset, then all the methods had good power to detect loci with very small effects on the trait at genome-wide significance levels. One of our new methods was particularly successful in that we were able to show that it yields good estimates of both the recombination fraction and a generalized measure of association, something that the TDT does not accomplish. These results were recently presented at the GAW12 workshop and a paper is in preparation.