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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.

该项目涉及分析来自遗传分析研讨会12的模拟数据集。GAW 12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。本财政年度完成了介绍这些结果的论文的编写工作，最近发表在《遗传流行病学》上。此外，Bailey-Wilson博士应邀撰写了另一篇论文，总结了GAW 12研讨会上有关关联研究的一部分报告的结果。这篇论文最近也发表在《遗传流行病学》上。该项目现已完成。