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使用ASPIREdb对复杂表型-基因组数据集进行交互式探索、分析和可视化

Interactive Exploration, Analysis, and Visualization of Complex Phenome-Genome Datasets with ASPIREdb.

作者信息

Tan Powell Patrick Cheng, Rogic Sanja, Zoubarev Anton, McDonald Cameron, Lui Frances, Charathsandran Gayathiri, Jacobson Matthew, Belmadani Manuel, Leong Justin, Van Rossum Thea, Portales-Casamar Elodie, Qiao Ying, Calli Kristina, Liu Xudong, Hudson Melissa, Rajcan-Separovic Evica, Lewis Me Suzanne, Pavlidis Paul

机构信息

Michael Smith Laboratories and Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada.

Department of Pathology, BC Child and Family Research Institute, University of British Columbia (UBC), Vancouver, British Columbia V5Z 4H4, Canada.

出版信息

Hum Mutat. 2016 Aug;37(8):719-26. doi: 10.1002/humu.23011. Epub 2016 May 20.

Abstract

Identifying variants causal for complex genetic disorders is challenging. With the advent of whole-exome and whole-genome sequencing, computational tools are needed to explore and analyze the list of variants for further validation. Correlating genetic variants with subject phenotype is crucial for the interpretation of the disease-causing mutations. Often such work is done by teams of researchers who need to share information and coordinate activities. To this end, we have developed a powerful, easy to use Web application, ASPIREdb, which allows researchers to search, organize, analyze, and visualize variants and phenotypes associated with a set of human subjects. Investigators can annotate variants using publicly available reference databases and build powerful queries to identify subjects or variants of interest. Functional information and phenotypic associations of these genes are made accessible as well. Burden analysis and additional reporting tools allow investigation of variant properties and phenotype characteristics. Projects can be shared, allowing researchers to work collaboratively to build queries and annotate the data. We demonstrate ASPIREdb's functionality using publicly available data sets, showing how the software can be used to accomplish goals that might otherwise require specialized bioinformatics expertise. ASPIREdb is available at http://aspiredb.chibi.ubc.ca.

摘要

识别复杂遗传疾病的致病变异具有挑战性。随着全外显子组测序和全基因组测序的出现,需要计算工具来探索和分析变异列表以进行进一步验证。将遗传变异与个体表型相关联对于解释致病突变至关重要。通常,此类工作由需要共享信息和协调活动的研究团队完成。为此,我们开发了一个功能强大且易于使用的网络应用程序ASPIREdb,它允许研究人员搜索、组织、分析和可视化与一组人类受试者相关的变异和表型。研究人员可以使用公开可用的参考数据库注释变异,并构建强大的查询来识别感兴趣的受试者或变异。这些基因的功能信息和表型关联也可获取。负担分析和其他报告工具允许对变异特性和表型特征进行研究。项目可以共享,使研究人员能够协作构建查询并注释数据。我们使用公开可用的数据集展示了ASPIREdb的功能,展示了该软件如何用于实现那些可能原本需要专业生物信息学专业知识才能完成的目标。可通过http://aspiredb.chibi.ubc.ca访问ASPIREdb。

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