Srinivasan Balaji S, Chen Jinbo, Cheng Cheng, Conti David, Duan Shiwei, Fridley Brooke L, Gu Xiangjun, Haines Jonathan L, Jorgenson Eric, Kraja Aldi, Lasky-Su Jessica, Li Lang, Rodin Andrei, Wang Dai, Province Mike, Ritchie Marylyn D
Stanford University, CA, USA.
Pharmacogenomics. 2009 Feb;10(2):243-51. doi: 10.2217/14622416.10.2.243.
Each year, the Pharmacogenetics Research Network (PGRN) holds an analysis workshop for the members of the PGRN to share new methodologies, study design approaches and to discuss real data applications. This event is closed to members of the PGRN, but the methods presented are relevant to others conducting pharmacogenomics research. This special report describes many of the novel approaches discussed at the workshop and provides a resource for investigators in the field performing pharmacogenomics data analysis. While the focus is pharmacogenomics, the methods discussed are far ranging and have relevance to all types of genetic association studies: identifying noncoding variants and tag-SNPs, haplotype analysis, multivariate techniques, quantitative trait analysis, gene-gene and gene-environment interactions, and genome-wide association studies. The goal is to introduce readers to the topics discussed at the workshop and provide a direction for future development of analysis tools and methods for analysis of pharmacogenomic data.
每年，药物基因组学研究网络（PGRN）都会为其成员举办一次分析研讨会，以分享新方法、研究设计方法并讨论实际数据应用。该活动不对PGRN成员以外的人开放，但所介绍的方法与其他从事药物基因组学研究的人员相关。本专题报告描述了研讨会上讨论的许多新方法，并为该领域进行药物基因组学数据分析的研究人员提供了资源。虽然重点是药物基因组学，但所讨论的方法范围广泛，与所有类型的基因关联研究都相关：识别非编码变异和标签单核苷酸多态性、单倍型分析、多变量技术、数量性状分析、基因-基因和基因-环境相互作用以及全基因组关联研究。目标是向读者介绍研讨会上讨论的主题，并为未来药物基因组学数据分析工具和方法的开发提供方向。
