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首页> 外文期刊>Biological research for nursing >Primer in Genetics and Genomics, Article 7Multifactorial Concepts: Gene-Gene Interactions
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Primer in Genetics and Genomics, Article 7Multifactorial Concepts: Gene-Gene Interactions

机译：遗传学和基因组学中的底漆，第7条方法概念：基因基因相互作用

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摘要

Most common disorders affecting human health are not attributable to simple Mendelian (single-gene) inheritance patterns. Rather, the risk of developing a complex disease is often the result of interactions across genes, whereby one gene modifies the phenotype of another gene. These types of interactions can occur between two or more genes and are referred to as epistasis. There are five major types of epistatic interactions, but in human genetics, additive epistasis is most often discussed and includes both positive and negative subtypes. Detecting epistatic interactions can be quite difficult because seemingly unrelated genes can interact with and influence each other. As a result of this complexity, statistical geneticists are constantly developing new methods to enhance detection, but there are disadvantages to each proposed method. In this article, we explore the concept of epistasis, discuss different types of epistatic interactions, and provide a brief introduction to statistical methods researchers use to uncover sets of epistatic interactions. Then, we consider Alzheimer's disease as an exemplar for a disease with epistatic effects. Finally, we provide helpful resources, where nurses can learn more about epistasis in order to incorporate these methods into their own program of research.
机译：影响人类健康的大多数常见疾病不归因于简单的孟德尔（单基因）遗传模式。相反，发育复杂疾病的风险通常是基因相互作用的结果，由此一个基因改变另一基因的表型。这些类型的相互作用可以发生在两个或更多个基因之间，并且被称为超越。有五种主要类型的顾问相互作用，但在人类遗传学中，最常讨论添加剂超越，包括阳性和负亚型。检测到的背景相互作用可能是非常困难的，因为看似无关的基因可以与彼此相互作用并影响。由于这种复杂性，统计遗传学家不断开发提高检测的新方法，但每个提出的方法都有缺点。在本文中，我们探讨了超越的概念，讨论了不同类型的认证互动，并提供了统计方法研究人员使用的简要介绍，用于揭示的背景互动。然后，我们认为阿尔茨海默病的疾病是具有认证效应的疾病的示例。最后，我们提供有用的资源，护士可以了解更多关于外科的资源，以便将这些方法纳入自己的研究计划。

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