Gorroochurn Prakash, Hodge Susan E, Heiman Gary A, Greenberg David A
Division of Statistical Genetics, Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY 10032, USA.
Hum Hered. 2011;71(3):180-5. doi: 10.1159/000327728. Epub 2011 Jul 20.
Dadd et al. [Hum Hered 2010;69:285-294] recently criticized our delta-centralization (DC) method of controlling for population stratification (PS) and concluded that DC does not work. To explore our method, the authors simulated data under the Balding-Nichols (BN) model, which is more general than the model we had used in our simulations. They determined that the DC method underestimated the PS parameter (δ) and inflated the type I error rates when applied to BN-simulated data, and from this they concluded that the DC method is invalid. However, we argue that this conclusion is premature. In this paper, we (1) show why δ is underestimated and type I error rates are inflated when BN-simulated data are used, and (2) present a simple adjustment to DC that works reasonably well for data from both kinds of simulations. We also show that the adjusted DC method has appropriate power under a range of scenarios.
达德等人[《人类遗传学》2010年;69卷:285 - 294页]最近批评了我们用于控制群体分层(PS)的δ中心化(DC)方法,并得出结论认为DC方法无效。为了探究我们的方法,作者们在巴尔丁 - 尼科尔斯(BN)模型下模拟了数据,该模型比我们在模拟中所使用的模型更为通用。他们确定,当将DC方法应用于BN模拟数据时,该方法低估了PS参数(δ)并夸大了I型错误率,据此他们得出DC方法无效的结论。然而,我们认为这一结论为时过早。在本文中,我们(1)说明了在使用BN模拟数据时δ为何被低估以及I型错误率为何被夸大,并且(2)提出了一种对DC的简单调整方法,该方法对于两种模拟的数据都能相当有效地发挥作用。我们还表明,经过调整的DC方法在一系列情形下都具有适当的效能。