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对基因组中非编码突变进行定位和解读。

Mapping and Making Sense of Noncoding Mutations in the Genome.

机构信息

Department of Biochemistry and Molecular Genetics, University of Virginia School of Medicine, Charlottesville, Virginia.

出版信息

Cancer Res. 2019 Sep 1;79(17):4309-4314. doi: 10.1158/0008-5472.CAN-19-0905. Epub 2019 Aug 6.

DOI:10.1158/0008-5472.CAN-19-0905
PMID:31387922
Abstract

Whole-genome sequencing efforts of tumors and normal tissues have identified numerous genetic mutations, both somatic and germline, that do not overlap with coding genomic sequences. Attributing a functional role to these noncoding mutations and characterizing them using experimental methods has been more challenging compared with coding mutations. In this review, we provide a brief introduction to the world of noncoding mutations. We discuss recent progress in identifying noncoding mutations and the analytic and experimental approaches utilized to interpret their functional roles. We also highlight the potential mechanisms by which a noncoding mutation may exert its effect and discuss future challenges and opportunities.

摘要

全基因组测序技术已鉴定出许多非编码基因突变,包括体细胞和种系突变,这些突变与编码基因组序列不重叠。与编码突变相比,鉴定这些非编码突变的功能作用并通过实验方法对其进行特征描述更具挑战性。在这篇综述中,我们简要介绍了非编码突变的世界。我们讨论了最近在鉴定非编码突变方面的进展,以及用于解释其功能作用的分析和实验方法。我们还强调了非编码突变可能发挥作用的潜在机制,并讨论了未来的挑战和机遇。

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Estimating the predictive power of silent mutations on cancer classification and prognosis.评估沉默突变对癌症分类和预后的预测能力。
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