Statistical Analysis of Genetic Analysis Workshop 12 Dat

遗传分析研讨会12数据的统计分析

基本信息

批准号：
6555962
负责人：
Joan Ellen Bailey-Wilson
金额：
--
依托单位：
NATIONAL HUMAN GENOME RESEARCH INSTITUTE
依托单位国家：
美国
项目类别：
财政年份：
资助国家：
美国
起止时间：
至
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/6555962
关键词：
clinical research computer data analysis computer simulation cooperative study data collection methodology /evaluation family genetics genetic recombination genome human data linkage disequilibriums method development quantitative trait loci statistics /biometry workshop

项目摘要

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. Preparation of a paper presenting these results was completed in this fiscal year and it was recently published in Genetic Epidemiology. In addition, Dr. Bailey-Wilson was invited to write another paper summarizing the results of a section of the GAW12 Workshop presentations dealing with association studies. This paper has also been recently published in Genetic Epidemiology. This project is now completed.

该项目涉及对遗传分析研讨会 12 的模拟数据集进行分析。GAW12 的数据组织委员会模拟了一组复杂定性特征的数据。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基于家族的连锁不平衡测试与已发布的传递不平衡测试（TDT）的其他几种实现的能力。我们表明，这些测试在最初提供的小样本中都没有足够的功效，但是当将所有重复组合起来产生大数据集时，所有方法都具有良好的功效来检测对基因组性状影响非常小的基因座- 广泛的显着性水平。我们的一种新方法特别成功，因为我们能够证明它可以对重组分数和关联的广义测量产生良好的估计，这是 TDT 无法实现的。介绍这些结果的论文的准备工作已于本财年完成，并于最近发表在《遗传流行病学》杂志上。此外，Bailey-Wilson 博士还受邀撰写另一篇论文，总结 GAW12 研讨会演讲中涉及关联研究的部分结果。这篇论文最近也发表在《遗传流行病学》杂志上。该项目现已完成。