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混合家系中的基因定位:关于传递不平衡检验解释的警示及一种可能的解决方案

Gene Mapping in Admixed Families: A Cautionary Note on the Interpretation of the Transmission Disequilibrium Test and a Possible Solution.

作者信息

Wang Xuexia, Xiao Rui, Zhu Xiaofeng, Li Mingyao

机构信息

Department of Mathematics, University of North Texas, Denton, Tex., USA.

出版信息

Hum Hered. 2016;81(2):106-116. doi: 10.1159/000446956. Epub 2017 Jan 12.

Abstract

A family-based study design is commonly used in gene mapping studies of complex human diseases. Most family-based studies use the transmission of alleles to assess evidence of association. It is generally believed that the transmission disequilibrium test (TDT) is robust against spurious association due to population stratification or admixture. While this is true when population stratification is due to discrete population structure, one should use the TDT-type methods with caution when they are applied to admixed populations in which population structure exists in local genomic regions. In a recently admixed population, such as African Americans and Hispanic Americans, the linkage disequilibrium coefficient between a marker and disease loci in the parental generation contains a spurious component from the admixture process. In this paper, we show that the general belief that family-based design would guard against spurious association caused by population stratification does not always hold in admixed populations. It is safe to use the TDT as a test of association when population stratification is due to global genome ancestry difference. However, when population stratification is due to local ancestry difference in certain genomic regions, the use of the TDT as a test of association can lead to spurious association. Second, we present a statistical framework for fine mapping of disease-associated genetic variants in admixed families. Unlike the TDT and other family-based association tests, this method does not rely on transmission disequilibrium and therefore can control local ancestry difference between transmitted and untransmitted alleles. Through simulations, we show that this method can control type I error rates under a wide range of population stratification mechanisms.

摘要

基于家系的研究设计常用于复杂人类疾病的基因定位研究。大多数基于家系的研究利用等位基因的传递来评估关联证据。一般认为,传递不平衡检验(TDT)对于因群体分层或混合而产生的虚假关联具有稳健性。当群体分层是由于离散的群体结构导致时,情况确实如此,但当将TDT类方法应用于局部基因组区域存在群体结构的混合群体时,应谨慎使用。在最近混合的群体中,如非裔美国人和西班牙裔美国人,亲代中标记与疾病位点之间的连锁不平衡系数包含来自混合过程的虚假成分。在本文中,我们表明,认为基于家系的设计能防范群体分层导致的虚假关联这一普遍观点,在混合群体中并不总是成立。当群体分层是由于全球基因组祖先差异导致时,使用TDT作为关联检验是安全的。然而,当群体分层是由于某些基因组区域的局部祖先差异导致时,使用TDT作为关联检验可能会导致虚假关联。其次,我们提出了一个用于在混合家系中精细定位疾病相关基因变异的统计框架。与TDT和其他基于家系的关联检验不同,该方法不依赖于传递不平衡,因此可以控制传递和未传递等位基因之间的局部祖先差异。通过模拟,我们表明该方法在广泛的群体分层机制下都能控制I型错误率。

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