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

该子项目是利用 由NIH/NCRR资助的中心赠款提供的资源。子项目和 研究者（PI）可能从另一个NIH来源获得了主要资金， 因此可以在其他CRISP条目中表示。所列机构为 研究中心，而研究中心不一定是研究者所在的机构。 人群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方法（FamCC）可以克服群体分层的影响，同时利用家族和无关样本的组合来提高功效。在这项研究中，我们比较了FamCC和传递不平衡检验（TDT）使用的数据，高血压，收缩压（SBP）和舒张压（DBP）的心脏研究。我们的研究表明，FamCC有合理的I型错误的无关样本和家庭样本的所有三个性状。对于二元特质高血压，我们发现FamCC的结果与TDT的结果不一致。我们讨论这种不一致的原因。在校正多次测试后，我们没有通过FamCC或TDT检测到任何显著的SNP。来自FamCC和TDT的结果对于数量性状DBP最一致，而对于二元性状高血压最不一致。

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.