Chang Chia-Jung, Osoegawa Kazutoyo, Milius Robert P, Maiers Martin, Xiao Wenzhong, Fernandez-Viňa Marcelo, Mack Steven J
Stanford Genome Technology Center, Palo Alto, CA, USA.
Histocompatibility, Immunogenetics & Disease Profiling Laboratory, Stanford Blood Center, Palo Alto, CA, USA.
Hum Immunol. 2018 Feb;79(2):77-86. doi: 10.1016/j.humimm.2017.12.004. Epub 2017 Dec 14.
For over 50 years, the International HLA and Immunogenetics Workshops (IHIW) have advanced the fields of histocompatibility and immunogenetics (H&I) via community sharing of technology, experience and reagents, and the establishment of ongoing collaborative projects. Held in the fall of 2017, the 17th IHIW focused on the application of next generation sequencing (NGS) technologies for clinical and research goals in the H&I fields. NGS technologies have the potential to allow dramatic insights and advances in these fields, but the scope and sheer quantity of data associated with NGS raise challenges for their analysis, collection, exchange and storage. The 17th IHIW adopted a centralized approach to these issues, and we developed the tools, services and systems to create an effective system for capturing and managing these NGS data. We worked with NGS platform and software developers to define a set of distinct but equivalent NGS typing reports that record NGS data in a uniform fashion. The 17th IHIW database applied our standards, tools and services to collect, validate and store those structured, multi-platform data in an automated fashion. We have created community resources to enable exploration of the vast store of curated sequence and allele-name data in the IPD-IMGT/HLA Database, with the goal of creating a long-term community resource that integrates these curated data with new NGS sequence and polymorphism data, for advanced analyses and applications.
五十多年来,国际人类白细胞抗原与免疫遗传学研讨会(IHIW)通过社区内技术、经验和试剂的共享以及持续合作项目的开展,推动了组织相容性和免疫遗传学(H&I)领域的发展。2017年秋季举办的第17届IHIW聚焦于下一代测序(NGS)技术在H&I领域临床和研究目标中的应用。NGS技术有潜力在这些领域带来重大的见解和进展,但与NGS相关的数据范围和数量给其分析、收集、交换和存储带来了挑战。第17届IHIW对这些问题采用了集中式方法,我们开发了工具、服务和系统,以创建一个有效的系统来捕获和管理这些NGS数据。我们与NGS平台和软件开发人员合作,定义了一组不同但等效的NGS分型报告,以统一方式记录NGS数据。第17届IHIW数据库应用我们的标准、工具和服务,以自动化方式收集、验证和存储那些结构化的多平台数据。我们创建了社区资源,以便在IPD-IMGT/HLA数据库中探索大量经过整理的序列和等位基因名称数据,目标是创建一个长期的社区资源,将这些经过整理的数据与新的NGS序列和多态性数据整合起来,用于高级分析和应用。