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人类单核苷酸变异注释的当前趋势——以SNVrap为例的研究

Current trend of annotating single nucleotide variation in humans--A case study on SNVrap.

作者信息

Li Mulin Jun, Wang Junwen

机构信息

Centre for Genomic Sciences, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China; Department of Biochemistry, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China; Shenzhen Institute of Research and Innovation, The University of Hong Kong, Shenzhen, China.

Centre for Genomic Sciences, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China; Department of Biochemistry, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China; Shenzhen Institute of Research and Innovation, The University of Hong Kong, Shenzhen, China.

出版信息

Methods. 2015 Jun;79-80:32-40. doi: 10.1016/j.ymeth.2014.10.003. Epub 2014 Oct 13.

Abstract

As high throughput methods, such as whole genome genotyping arrays, whole exome sequencing (WES) and whole genome sequencing (WGS), have detected huge amounts of genetic variants associated with human diseases, function annotation of these variants is an indispensable step in understanding disease etiology. Large-scale functional genomics projects, such as The ENCODE Project and Roadmap Epigenomics Project, provide genome-wide profiling of functional elements across different human cell types and tissues. With the urgent demands for identification of disease-causal variants, comprehensive and easy-to-use annotation tool is highly in demand. Here we review and discuss current progress and trend of the variant annotation field. Furthermore, we introduce a comprehensive web portal for annotating human genetic variants. We use gene-based features and the latest functional genomics datasets to annotate single nucleotide variation (SNVs) in human, at whole genome scale. We further apply several function prediction algorithms to annotate SNVs that might affect different biological processes, including transcriptional gene regulation, alternative splicing, post-transcriptional regulation, translation and post-translational modifications. The SNVrap web portal is freely available at http://jjwanglab.org/snvrap.

摘要

作为高通量方法,如全基因组基因分型阵列、全外显子组测序(WES)和全基因组测序(WGS),已检测到大量与人类疾病相关的遗传变异,对这些变异进行功能注释是理解疾病病因不可或缺的一步。大规模功能基因组学项目,如ENCODE项目和表观基因组路线图项目,提供了跨不同人类细胞类型和组织的全基因组功能元件图谱。鉴于对鉴定疾病致病变异的迫切需求,全面且易于使用的注释工具的需求极为迫切。在此,我们回顾并讨论变异注释领域的当前进展和趋势。此外,我们介绍了一个用于注释人类遗传变异的综合网络门户。我们使用基于基因的特征和最新的功能基因组学数据集,在全基因组规模上注释人类的单核苷酸变异(SNV)。我们进一步应用多种功能预测算法来注释可能影响不同生物学过程的SNV,包括转录基因调控、可变剪接、转录后调控、翻译和翻译后修饰。SNVrap网络门户可在http://jjwanglab.org/snvrap免费获取。

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