Turner Tychele N, Yi Qian, Krumm Niklas, Huddleston John, Hoekzema Kendra, F Stessman Holly A, Doebley Anna-Lisa, Bernier Raphael A, Nickerson Deborah A, Eichler Evan E
Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA
Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA.
Nucleic Acids Res. 2017 Jan 4;45(D1):D804-D811. doi: 10.1093/nar/gkw865. Epub 2016 Oct 5.
Whole-exome and whole-genome sequencing have facilitated the large-scale discovery of de novo variants in human disease. To date, most de novo discovery through next-generation sequencing focused on congenital heart disease and neurodevelopmental disorders (NDDs). Currently, de novo variants are one of the most significant risk factors for NDDs with a substantial overlap of genes involved in more than one NDD. To facilitate better usage of published data, provide standardization of annotation, and improve accessibility, we created denovo-db (http://denovo-db.gs.washington.edu), a database for human de novo variants. As of July 2016, denovo-db contained 40 different studies and 32,991 de novo variants from 23,098 trios. Database features include basic variant information (chromosome location, change, type); detailed annotation at the transcript and protein levels; severity scores; frequency; validation status; and, most importantly, the phenotype of the individual with the variant. We included a feature on our browsable website to download any query result, including a downloadable file of the full database with additional variant details. denovo-db provides necessary information for researchers to compare their data to other individuals with the same phenotype and also to controls allowing for a better understanding of the biology of de novo variants and their contribution to disease.
全外显子组测序和全基因组测序推动了人类疾病中新生变异的大规模发现。迄今为止,通过下一代测序进行的大多数新生变异发现都集中在先天性心脏病和神经发育障碍(NDD)上。目前,新生变异是NDD最重要的风险因素之一,多个NDD所涉及的基因存在大量重叠。为了便于更好地利用已发表的数据、实现注释的标准化并提高数据的可获取性,我们创建了denovo-db(http://denovo-db.gs.washington.edu),一个人类新生变异数据库。截至2016年7月,denovo-db包含40项不同的研究以及来自23,098个三联体的32,991个新生变异。数据库功能包括基本变异信息(染色体位置、变化、类型);转录本和蛋白质水平的详细注释;严重程度评分;频率;验证状态;以及最重要的,携带该变异个体的表型。我们在可浏览的网站上设置了一个功能,可下载任何查询结果,包括带有额外变异详细信息的完整数据库的可下载文件。denovo-db为研究人员提供了必要信息,以便他们将自己的数据与具有相同表型的其他个体以及对照进行比较,从而更好地理解新生变异的生物学特性及其对疾病的影响。