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本文引用的文献

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Magnitude of stratification in human populations and impacts on genome wide association studies.人群分层的程度及其对全基因组关联研究的影响。
PLoS One. 2010 Jan 13;5(1):e8695. doi: 10.1371/journal.pone.0008695.
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Genome-wide patterns of population structure and admixture in West Africans and African Americans.西非人和非裔美国人的全基因组人口结构和混合模式。
Proc Natl Acad Sci U S A. 2010 Jan 12;107(2):786-91. doi: 10.1073/pnas.0909559107. Epub 2009 Dec 22.
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An admixture scan in 1,484 African American women with breast cancer.在 1484 名患有乳腺癌的非裔美国女性中进行混合扫描。
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Admixture mapping of obesity-related traits in African Americans: the Atherosclerosis Risk in Communities (ARIC) Study.非裔美国人肥胖相关特征的混合映射:社区动脉粥样硬化风险研究(ARIC)。
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An ancestry informative marker set for determining continental origin: validation and extension using human genome diversity panels.用于确定大陆起源的祖先信息标记集:使用人类基因组多样性面板进行验证和扩展
BMC Genet. 2009 Jul 24;10:39. doi: 10.1186/1471-2156-10-39.
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A genome-wide association study of hypertension and blood pressure in African Americans.非裔美国人高血压与血压的全基因组关联研究。
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The genetic structure and history of Africans and African Americans.非洲人和非裔美国人的基因结构与历史。
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验证一小部分祖先信息标记在控制非裔美国人人口混合中的作用。

Validation of a small set of ancestral informative markers for control of population admixture in African Americans.

机构信息

Slone Epidemiology Center at Boston University, Massachusetts 02215, USA.

出版信息

Am J Epidemiol. 2011 Mar 1;173(5):587-92. doi: 10.1093/aje/kwq401. Epub 2011 Jan 24.

DOI:10.1093/aje/kwq401
PMID:21262910
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3105437/
Abstract

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.

摘要

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。