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检测涉及复合杂合子的遗传方式。

Testing for modes of inheritance involving compound heterozygotes.

机构信息

Virginia Institute for Psychiatric and Behavioral Genetics BIOTECH I, Richmond, Virginia, USA.

出版信息

Genet Epidemiol. 2013 Jul;37(5):522-8. doi: 10.1002/gepi.21732. Epub 2013 Apr 30.

Abstract

Functional variants change the protein product or the expression of genes. Due to the latest advances in sequencing technology, most known functional variants can now be assayed in a cost-effective manner. However, to fully use the information from functional variants, researchers need to model the joint effect of these variants. In this article, we propose methods that model the action/interaction of loss-of-function (LOF) mutations, i.e., those mutations that eliminate the protein product of a gene. When multiple LOFs occur in the same causal gene/region, their effect on a phenotype might depend on whether these mutations lie on the same DNA strand/haplotype. When compared to LOFs occurring on the same strand, if these mutations lie on different strands, both copies of the gene are impaired and the impact on the relevant phenotypes is likely to be more severe. To use the information from LOF strand colocalization, we propose three methods that utilize the information from the estimated number of affected strands. We compare the performance of the proposed and competing methods by using simulations of common and rare LOF variants. Two of the proposed methods exhibited desirable power profiles, the first for both common and rare LOFs and the second only for common LOFs. One of the existing methods, collapsed double heterozygosity, exhibits good power to detect compound models for rare variants, especially when no haplotype harbors two or more rare alleles. Consequently, we recommend these three methods to be used for the analysis of functional variants coming from sequencing studies.

摘要

功能变体改变蛋白质产物或基因的表达。由于测序技术的最新进展,现在大多数已知的功能变体都可以以具有成本效益的方式进行检测。然而,要充分利用功能变体的信息,研究人员需要对这些变体的联合作用进行建模。在本文中,我们提出了一些方法,这些方法可以对失活功能(LOF)突变(即消除基因蛋白产物的那些突变)的作用/相互作用进行建模。当同一因果基因/区域中发生多个 LOF 时,它们对表型的影响可能取决于这些突变是否位于同一 DNA 链/单倍型上。与位于同一链上的 LOF 相比,如果这些突变位于不同的链上,那么基因的两个副本都受到了损害,对相关表型的影响可能更为严重。为了利用 LOF 链共定位的信息,我们提出了三种利用估计受影响链数量的信息的方法。我们通过对常见和罕见 LOF 变体的模拟来比较所提出的方法和竞争方法的性能。所提出的两种方法表现出了理想的功效特征,第一种方法适用于常见和罕见 LOF,第二种方法仅适用于常见 LOF。现有的方法之一,折叠双杂合性,对于检测罕见变异的复合模型具有很好的功效,特别是当没有单倍型携带两个或更多的罕见等位基因时。因此,我们建议使用这三种方法来分析来自测序研究的功能变体。

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