• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

整合大规模基因型和表型数据。

Integrating large-scale genotype and phenotype data.

作者信息

Hernandez-Boussard Tina, Woon Mark, Klein Teri E, Altman Russ B

机构信息

Department of Genetics, Stanford University Medical School, Stanford, California, USA.

出版信息

OMICS. 2006 Winter;10(4):545-54. doi: 10.1089/omi.2006.10.545.

DOI:10.1089/omi.2006.10.545
PMID:17233563
Abstract

With the completion of the Human Genome Project, a new emphasis is focusing on the sequence variation and the resulting phenotype. The number of data available from genomic studies addressing this relationship is rapidly growing. In order to analyze these data as a whole, they need to be integrated, aggregated and annotated in a timely manner. The Pharmacogenetics and Pharmacogenomics Knowledge Base PharmGKB; (<www.pharmgkb.org>) assembles and disseminates these data and their associated metadata that are needed for unambiguous identification and replication. Assembling these data in a timely manner is challenging, and the scalability of these data produce major challenges for a knowledge base such as PharmGKB. However, it is only through rapid global meta-annotation of these data that we will understand the relationship between specific genotype(s) and the related phenotype. PharmGKB has confronted these challenges, and these experiences and solutions can benefit all genome communities.

摘要

随着人类基因组计划的完成,新的重点聚焦于序列变异及其产生的表型。涉及这种关系的基因组研究可得的数据数量正在迅速增长。为了对这些数据进行整体分析,需要及时对它们进行整合、汇总和注释。药物遗传学和药物基因组学知识库PharmGKB(<www.pharmgkb.org>)收集并传播这些数据及其相关元数据,这些是明确识别和复制所需的。及时收集这些数据具有挑战性,而且这些数据的可扩展性给像PharmGKB这样的知识库带来了重大挑战。然而,只有通过对这些数据进行快速的全球元注释,我们才能理解特定基因型与相关表型之间的关系。PharmGKB已经应对了这些挑战,这些经验和解决方案能让所有基因组群体受益。

相似文献

1
Integrating large-scale genotype and phenotype data.整合大规模基因型和表型数据。
OMICS. 2006 Winter;10(4):545-54. doi: 10.1089/omi.2006.10.545.
2
The PharmGKB: integration, aggregation, and annotation of pharmacogenomic data and knowledge.药物基因组学知识库(PharmGKB):药物基因组学数据与知识的整合、汇总及注释
Clin Pharmacol Ther. 2007 Jan;81(1):21-4. doi: 10.1038/sj.clpt.6100048.
3
The education potential of the pharmacogenetics and pharmacogenomics knowledge base (PharmGKB).药物遗传学和药物基因组学知识库(PharmGKB)的教育潜力。
Clin Pharmacol Ther. 2007 Oct;82(4):472-5. doi: 10.1038/sj.clpt.6100332. Epub 2007 Aug 22.
4
An XML-based interchange format for genotype-phenotype data.一种基于XML的基因型-表型数据交换格式。
Hum Mutat. 2008 Feb;29(2):212-9. doi: 10.1002/humu.20662.
5
PharmGKB and the International Warfarin Pharmacogenetics Consortium: the changing role for pharmacogenomic databases and single-drug pharmacogenetics.药物基因组学知识库(PharmGKB)与国际华法林药物基因组学联盟:药物基因组学数据库及单药药物基因组学的角色转变
Hum Mutat. 2008 Apr;29(4):456-60. doi: 10.1002/humu.20731.
6
PharmGKB: the pharmacogenetics and pharmacogenomics knowledge base.药物基因组学知识库(PharmGKB):药物遗传学与药物基因组学知识库
Methods Mol Biol. 2005;311:179-91. doi: 10.1385/1-59259-957-5:179.
7
PharmGKB, an Integrated Resource of Pharmacogenomic Knowledge.PharmGKB,一个综合性的药物基因组学知识库。
Curr Protoc. 2021 Aug;1(8):e226. doi: 10.1002/cpz1.226.
8
Integrating genotype and phenotype information: an overview of the PharmGKB project. Pharmacogenetics Research Network and Knowledge Base.整合基因型和表型信息:药物基因组学知识库(PharmGKB)项目概述。药物遗传学研究网络与知识库。
Pharmacogenomics J. 2001;1(3):167-70. doi: 10.1038/sj.tpj.6500035.
9
PharmGKB: the Pharmacogenomics Knowledge Base.药物基因组学知识库(PharmGKB)
Methods Mol Biol. 2013;1015:311-20. doi: 10.1007/978-1-62703-435-7_20.
10
PharmGKB: the Pharmacogenetics Knowledge Base.药物基因组学知识库(PharmGKB)
Nucleic Acids Res. 2002 Jan 1;30(1):163-5. doi: 10.1093/nar/30.1.163.

引用本文的文献

1
BiologicalNetworks--tools enabling the integration of multi-scale data for the host-pathogen studies.生物网络——用于宿主-病原体研究的多尺度数据整合工具。
BMC Syst Biol. 2011 Jan 14;5:7. doi: 10.1186/1752-0509-5-7.
2
Leveraging informatics for genetic studies: use of the electronic medical record to enable a genome-wide association study of peripheral arterial disease.利用信息学进行遗传研究:利用电子病历进行外周动脉疾病的全基因组关联研究。
J Am Med Inform Assoc. 2010 Sep-Oct;17(5):568-74. doi: 10.1136/jamia.2010.004366.