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

被引:153
作者
Li, Jinchen [1 ,2 ,3 ]
Shi, Leisheng [1 ]
Zhang, Kun [1 ]
Zhang, Yi [1 ]
Hu, Shanshan [1 ]
Zhao, Tingting [1 ]
Teng, Huajing
Li, Xianfeng [3 ]
Jiang, Yi [3 ]
Ji, Liying [1 ]
Sun, Zhongsheng [1 ,4 ]
机构
[1] Wenzhou Med Univ, Inst Genom Med, Wenzhou 325025, Zhejiang, Peoples R China
[2] Cent South Univ, Xiangya Hosp, Natl Clin Res Ctr Geriatr Disorders, Changsha 410078, Hunan, Peoples R China
[3] Cent South Univ, Sch Life Sci, Lab Med Genet, Changsha 410078, Hunan, Peoples R China
[4] Chinese Acad Sci, Beijing Inst Life Sci, Beijing 100101, Peoples R China
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
DE-NOVO; FUNCTIONAL PREDICTIONS; SEQUENCE VARIANTS; MUTATIONS; PATHOGENICITY; GUIDELINES; RESOURCE; DBNSFP; SIFT; IDENTIFICATION;
D O I
10.1093/nar/gkx1039
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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 phenotyperelated knowledge; (v) generalmeaningful 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.
引用
收藏
页码:D1039 / D1048
页数:10
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