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第十六届免疫基因组学工作组研讨会:免疫基因组数据管理方法。免疫基因组数据分析工作组报告。

16(th) IHIW: immunogenomic data-management methods. report from the immunogenomic data analysis working group (IDAWG).

机构信息

Children's Hospital Oakland Research Institute, Oakland, CA 94610, USA.

出版信息

Int J Immunogenet. 2013 Feb;40(1):46-53. doi: 10.1111/iji.12026. Epub 2012 Dec 26.

Abstract

The goal of the immunogenomic data analysis working group (IDAWG) is to facilitate the consistent analysis of HLA and KIR data, and the sharing of those data among the immunogenomic and larger genomic communities. However, the data management approaches currently applied by immunogenomic researchers are not widely discussed or reported in the literature, and the effect of different approaches on data analyses is not known. With ASHI's support, the IDAWG developed a 45 question survey on HLA and KIR data generation, data management and data analysis practices. Survey questions detailed the loci genotyped, typing systems used, nomenclature versions reported, computer operating systems and software used to manage and transmit data, the approaches applied to resolve HLA ambiguity and the methods used for basic population-level analyses. Respondents were invited to demonstrate their HLA ambiguity resolution approaches in simulated data sets. By May 2012, 156 respondents from 35 nations had completed the survey. These survey respondents represent a broad sampling of the Immunogenomic community; 52% were European, 30% North American, 10% Asian, 4% South American and 4% from the Pacific. The project will continue in conjunction with the 17th Workshop, with the aim of developing community data sharing standards, ambiguity resolution documentation formats, single-task data Management tools and novel data analysis methods and applications. While additional project details and plans for the 17th IHIW will be forthcoming, we welcome the input and participation in these projects from the histocompatibility and immunogenetics community.

摘要

免疫基因组数据分析工作组(IDAWG)的目标是促进 HLA 和 KIR 数据的一致分析,并在免疫基因组学和更大的基因组学社区之间共享这些数据。然而,免疫基因组学研究人员目前应用的数据管理方法在文献中并没有得到广泛讨论或报道,也不知道不同方法对数据分析的影响。在 ASHI 的支持下,IDAWG 开发了一个关于 HLA 和 KIR 数据生成、数据管理和数据分析实践的 45 个问题的调查。调查问题详细说明了基因分型的基因座、使用的分型系统、报告的命名法版本、用于管理和传输数据的计算机操作系统和软件、应用于解决 HLA 歧义的方法以及用于基本人群水平分析的方法。受访者被邀请在模拟数据集上演示他们的 HLA 歧义解决方案。截至 2012 年 5 月,来自 35 个国家的 156 名受访者完成了这项调查。这些调查受访者代表了免疫基因组学社区的广泛抽样;52%来自欧洲,30%来自北美,10%来自亚洲,4%来自南美,4%来自太平洋地区。该项目将与第 17 届研讨会一起继续进行,目的是制定社区数据共享标准、歧义解决方案文档格式、单一任务数据管理工具以及新的数据分析方法和应用。虽然即将公布更多关于第 17 届 IHIW 的项目细节和计划,但我们欢迎组织相容性和免疫遗传学社区对这些项目的投入和参与。

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