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功能模块、突变负荷与人类遗传疾病

Functional modules, mutational load and human genetic disease.

机构信息

McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.

出版信息

Trends Genet. 2010 Apr;26(4):168-76. doi: 10.1016/j.tig.2010.01.006. Epub 2010 Mar 11.

Abstract

The ability to generate a massive amount of sequencing and genotyping data is transforming the study of human genetic disorders. Driven by such innovation, it is likely that whole exome and whole-genome resequencing will replace regionally focused approaches for gene discovery and clinical testing in the next few years. However, this opportunity brings a significant interpretative challenge to assigning function and phenotypic variance to common and rare alleles. Understanding the effect of individual mutations in the context of the remaining genomic variation represents a major challenge to our interpretation of disease. Here, we discuss the challenges of assigning mutation functionality and, drawing from the examples of ciliopathies as well as cohesinopathies and channelopathies, discuss possibilities for the functional modularization of the human genome. Functional modularization in addition to the development of physiologically relevant assays to test allele functionality will accelerate our understanding of disease architecture and enable the use of genome-wide sequence data for disease diagnosis and phenotypic prediction in individuals.

摘要

大量测序和基因分型数据的生成能力正在改变人类遗传疾病的研究方式。在这种创新的推动下,在未来几年内,全外显子组和全基因组重测序可能会取代区域性的基因发现和临床检测方法。然而,这为我们赋予常见和罕见等位基因功能和表型变异带来了重大的解释挑战。在考虑剩余基因组变异的情况下,理解个体突变的影响是我们对疾病进行解释的主要挑战。在这里,我们讨论了赋予突变功能的挑战,并从纤毛病、黏连蛋白病和通道病的例子中,讨论了人类基因组功能模块化的可能性。功能模块化以及开发生理相关的检测方法来测试等位基因功能,将加速我们对疾病结构的理解,并使我们能够利用全基因组序列数据对个体进行疾病诊断和表型预测。

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