%0 Journal Article
%T 关于基因多效性检验中互斥假设检验的总结与探索<br>Summary and Exploration of Exclusive Hypothesis Test of Pleiotropy
%A 范宇轩
%A 李兰玉
%J Advances in Applied Mathematics
%P 1531-1548
%@ 2324-8009
%D 2023
%I Hans Publishing
%R 10.12677/AAM.2023.124159
%X 基因多效性是指单个基因能够影响多个性状的表达水平。能够有效检测基因多效性的存在并了解其产生的原因具有重要的统计学以及生物学意义。复杂原假设条件下的互斥检验方法十分适用于该类问题且具有较好的说服力。不失一般性的情况下，本文主要针对于两个性状的汇总统计量进行研究。我们将新构建的方法与IUT (intersection-union test)、PLACO (pleiotropic analysis under composite null hypothesis)、DACT (divide-aggregate composite-null test)、MAIUP (mixture-adjusted inter-section-union test for pleiotropy test)几种方法进行了对比。模拟结果显示，新方法与MAIUP方法相比在能够在某些特定的情形下能够更好的控制一类错误同时保证检验功效。最后将上述方法应用于冠状动脉疾病以及扁桃体切除的数据来进行实证分析。<br />
Pleiotropy means single gene can influence multiple traits. Detection and understanding of pleiot-ropy are statistically and biologically important. Mutually exclusive test under composite null hy-pothesis is a suitable and convincing approach. Without loss of generality, we mainly focus on ana-lyzing summary statistics of two traits in this study. We compared our methods with IUT, PLACO, DACT, and MAIUP through simulations. Simulations show that the type I error can be controlled better by proposed method compared with MAIUP under specific situations with maintaining the statistical power simultaneously.
%K 互斥检验，基因多效性，汇总统计量<br>Exclusive Hypothesis Test
%K Pleiotropy
%K Summary Statistics
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=64211