Statistical analysis of genetic analysis workshop 12data

该项目涉及对来自遗传分析研讨会12的模拟数据集的分析。GAW12数据组织委员会对一组复杂的定性性状数据进行了模拟。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庭的连锁不平衡测试与已发表的传播不平衡测试（TDT）的其他几个实现的能力。我们发现，在最初提供的小样本中，这些测试都没有足够的功效，但是当所有的重复组合起来产生一个大数据集时，所有的方法都有很好的功效，可以在全基因组显著性水平上检测对性状影响很小的位点。我们的一种新方法特别成功，因为我们能够证明它对重组分数和关联的广义度量都有很好的估计，这是TDT无法完成的。这些结果最近在GAW12研讨会上发表，一篇论文正在准备中。

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.