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在具体情境中理解基因变异

Understanding genetic variants in context.

作者信息

Sinnott-Armstrong Nasa, Fields Stanley, Roth Frederick, Starita Lea M, Trapnell Cole, Villen Judit, Fowler Douglas M, Queitsch Christine

机构信息

Herbold Computational Biology Program, Fred Hutchinson Cancer Center, Seattle, United States.

Department of Genome Sciences, University of Washington, Seattle, United States.

出版信息

Elife. 2024 Dec 3;13:e88231. doi: 10.7554/eLife.88231.

Abstract

Over the last three decades, human genetics has gone from dissecting high-penetrance Mendelian diseases to discovering the vast and complex genetic etiology of common human diseases. In tackling this complexity, scientists have discovered the importance of numerous genetic processes - most notably functional regulatory elements - in the development and progression of these diseases. Simultaneously, scientists have increasingly used multiplex assays of variant effect to systematically phenotype the cellular consequences of millions of genetic variants. In this article, we argue that the context of genetic variants - at all scales, from other genetic variants and gene regulation to cell biology to organismal environment - are critical components of how we can employ genomics to interpret these variants, and ultimately treat these diseases. We describe approaches to extend existing experimental assays and computational approaches to examine and quantify the importance of this context, including through causal analytic approaches. Having a unified understanding of the molecular, physiological, and environmental processes governing the interpretation of genetic variants is sorely needed for the field, and this perspective argues for feasible approaches by which the combined interpretation of cellular, animal, and epidemiological data can yield that knowledge.

摘要

在过去三十年中,人类遗传学已从剖析高外显率的孟德尔疾病,发展到发现常见人类疾病广泛而复杂的遗传病因。为应对这种复杂性,科学家们发现了众多遗传过程的重要性——最显著的是功能调控元件——在这些疾病的发生和发展过程中。与此同时,科学家们越来越多地使用变异效应的多重检测方法,系统地表征数百万种遗传变异的细胞后果。在本文中,我们认为遗传变异的背景——在从其他遗传变异、基因调控到细胞生物学再到机体环境的所有尺度上——是我们如何利用基因组学来解释这些变异并最终治疗这些疾病的关键组成部分。我们描述了扩展现有实验检测和计算方法的途径,以检验和量化这种背景的重要性,包括通过因果分析方法。该领域迫切需要对支配遗传变异解释的分子、生理和环境过程有统一的理解,并且这一观点主张采用可行的方法,通过对细胞、动物和流行病学数据的综合解释来获得该知识。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/146c/11614383/6d37a8cf2376/elife-88231-fig1.jpg

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