Slone Epidemiology Center at Boston University, Massachusetts 02215, USA.
Am J Epidemiol. 2011 Mar 1;173(5):587-92. doi: 10.1093/aje/kwq401. Epub 2011 Jan 24.
Confounding due to population stratification is a potential source of concern in population-based genetic association studies, particularly in recently admixed populations such as African Americans. Several methods have been developed to control for population stratification in the context of genome-wide association studies. Because these approaches require thousands of genotypes from genetic markers, they are not well suited to be used in genetic association analyses without genome-wide data. An alternative approach to control for population stratification is to estimate admixture proportions by using ancestral informative markers (AIMs). The authors evaluated whether a relatively small number of AIMs would be sufficient to estimate ancestral proportions in African Americans. They first estimated European admixture proportions in 1,757 subjects from the Black Women's Health Study (1995-2009) by genotyping an admixture panel of 1,373 AIMs; they then compared these results with those obtained using smaller sets of AIMs. The authors found that just 30 AIMs are needed to obtain very high correlation of estimates with the entire set (r = 0.89; P < 0.0001). A set of 200 AIMs gave an almost perfect correlation with the entire set (r = 0.98; P < 0.0001). These results show that a small number of AIMs are sufficiently precise to estimate European admixture in African Americans.
由于群体分层导致的混杂是基于人群的遗传关联研究中的一个潜在问题,特别是在像非裔美国人这样最近混合的人群中。已经开发了几种方法来控制全基因组关联研究中的群体分层。由于这些方法需要来自遗传标记的数千种基因型,因此它们不适合在没有全基因组数据的情况下用于遗传关联分析。控制群体分层的另一种方法是使用祖先信息标记 (AIMs) 来估计混合比例。作者评估了少量 AIMs 是否足以估计非裔美国人的祖先比例。他们首先通过对混合面板中的 1,373 个 AIMs 进行基因分型,在来自黑人妇女健康研究(1995-2009 年)的 1,757 名受试者中估计欧洲混合比例;然后,他们将这些结果与使用较小的 AIMs 集获得的结果进行比较。作者发现,只需要 30 个 AIMs 就可以获得与整个集合非常高的估计相关性(r = 0.89;P < 0.0001)。一组 200 个 AIMs 与整个集合几乎完全相关(r = 0.98;P < 0.0001)。这些结果表明,少量的 AIMs 足以准确估计非裔美国人中的欧洲混合比例。