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VarCards:一个整合的遗传和临床数据库,用于人类基因组中的编码变异。

VarCards: an integrated genetic and clinical database for coding variants in the human genome.

机构信息

Institute of Genomic Medicine, Wenzhou Medical University, Wenzhou, Zhejiang 325025, China.

National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan 410078, China.

出版信息

Nucleic Acids Res. 2018 Jan 4;46(D1):D1039-D1048. doi: 10.1093/nar/gkx1039.

Abstract

A growing number of genomic tools and databases were developed to facilitate the interpretation of genomic variants, particularly in coding regions. However, these tools are separately available in different online websites or databases, making it challenging for general clinicians, geneticists and biologists to obtain the first-hand information regarding some particular variants and genes of interest. Starting with coding regions and splice sties, we artificially generated all possible single nucleotide variants (n = 110 154 363) and cataloged all reported insertion and deletions (n = 1 223 370). We then annotated these variants with respect to functional consequences from more than 60 genomic data sources to develop a database, named VarCards (http://varcards.biols.ac.cn/), by which users can conveniently search, browse and annotate the variant- and gene-level implications of given variants, including the following information: (i) functional effects; (ii) functional consequences through different in silico algorithms; (iii) allele frequencies in different populations; (iv) disease- and phenotype-related knowledge; (v) general meaningful gene-level information; and (vi) drug-gene interactions. As a case study, we successfully employed VarCards in interpretation of de novo mutations in autism spectrum disorders. In conclusion, VarCards provides an intuitive interface of necessary information for researchers to prioritize candidate variations and genes.

摘要

越来越多的基因组工具和数据库被开发出来,以促进对基因组变异的解释,特别是在编码区域。然而,这些工具分别在不同的在线网站或数据库中可用,这使得普通临床医生、遗传学家和生物学家难以获得有关某些特定变异和感兴趣基因的第一手信息。从编码区域和剪接位点开始,我们人工生成了所有可能的单核苷酸变异(n = 110154363),并编目了所有报道的插入和缺失(n = 1223370)。然后,我们根据来自 60 多个基因组数据源的功能后果对这些变体进行注释,开发了一个名为 VarCards(http://varcards.biols.ac.cn/)的数据库,用户可以方便地搜索、浏览和注释给定变体的变体和基因水平的影响,包括以下信息:(i)功能效应;(ii)通过不同的计算算法的功能后果;(iii)不同人群中的等位基因频率;(iv)疾病和表型相关知识;(v)一般有意义的基因水平信息;和(vi)药物-基因相互作用。作为一个案例研究,我们成功地将 VarCards 用于解释自闭症谱系障碍中的新生突变。总之,VarCards 为研究人员提供了一个直观的界面,用于优先考虑候选变异和基因。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49d1/5753295/79e96e4b29be/gkx1039fig1.jpg

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