Statistical analysis of genetic analysis workshop 12data

该项目涉及分析来自遗传分析研讨会12的模拟数据集。GAW12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种新的以家庭为基础的连锁不平衡测试与已发表的传递不平衡测试（TDT）的其他几种实施方式的功效。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产生一个大的数据集时，所有的方法都有很好的功效来检测对全基因组显著性水平上的性状影响非常小的基因座。我们的新方法之一是特别成功的，因为我们能够证明，它产生了很好的估计重组分数和广义的关联措施，这是TDT没有完成。这些结果最近已提交给GAW 12研讨会，目前正在编写一份文件。

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.