COMPARISON OF A UNIFIED APPROACH AND THE TDT IN THE FRAMINGHAM HEART STUDY

这个子项目是许多研究子项目中利用 资源由NIH/NCRR资助的中心拨款提供。子项目和 调查员(PI)可能从NIH的另一个来源获得了主要资金， 并因此可以在其他清晰的条目中表示。列出的机构是 该中心不一定是调查人员的机构。 人口分层是关联研究中产生虚假关联的主要原因之一。基于主成分分析的统一关联分析方法可以克服群体分层的影响，同时利用家族样本和无关样本相结合的方法来增加权值。在这项研究中，我们使用Framingham心脏研究中关于高血压、收缩压(SBP)和舒张压(DBP)的数据，比较了FAMCC和传递不平衡检验(TDT)。我们的研究表明，对于不相关的样本和家系样本，所有这三个性状都存在合理的I型错误。对于双特质高血压，我们发现FAMCC的结果与TDT的结果不一致。我们讨论了这种不一致的原因。在校正多次测试后，我们没有检测到FAMCC或TDT的任何显著SNP。FAMCC和TDT的结果在数量性状DBP上的一致性最高，而在二元性状高血压上的一致性最差。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. Population stratification is one of the major causes of spurious associations in association studies. A unified association approach (FamCC) based on principal component analysis can overcome the effect of population stratification, as well as make use of both family and unrelated samples combined to increase power. In this study, we compared FamCC and the transmission disequilibrium test (TDT) using data on hypertension, systolic blood pressure (SBP) and diastolic blood pressure (DBP) in the Framingham heart study. Our study indicated FamCC has reasonable type I error for both unrelated samples and family samples for all three traits. For the binary trait hypertension, we found results from FamCC were inconsistent with those from the TDT. We discuss the reasons for this inconsistency. After correcting for multiple tests, we did not detect any significant SNPs by either FamCC or the TDT. The results from FamCC and the TDT were most consistent for the quantitative trait DBP and least consistent for the binary trait hypertension.