• 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

[药物基因组学(PGx)的未来发展方向]

[Future directions of pharmacogenomics (PGx)].

作者信息

Kamatani Naoyuki

机构信息

Center for Genomic Medicine (CGM), RIKEN, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Japan.

出版信息

Nihon Shinkei Seishin Yakurigaku Zasshi. 2011 Aug;31(4):149-54.

PMID:21941848
Abstract

The factors for the individual differences include both genetic and environmental factors. Genome-wide association study (GWAS) was first developed in RIKEN in 2002 and has now become a major research technology. In GWAS, the associations between genomic variations and the variations in the traits are analyzed by statistical genetics. As many as 100,000-2,500,000 polymorphic loci are distributed over the whole genome, and the associations between either genotypes or alleles and the phenotypes are analyzed. The phenotypes are either diseases, physical data or clinical laboratory data, and it was found that the targets of the available drugs are often included in the genes that were found to be associated with the diseases. These data indicate that the results from GWAS may be applied to the development of new drugs (GWDD; genome-wide drug discovery). GWAS started to influence pharmacogenomics in which the associations between genomic variations and drug reactions are studied. Genes associated with statin-induced severe muscle damage, efficacy of interferon for C-type hepatitis, ribavirin-induced hemolytic anemia and carbamazepine-induced severe skin eruption were found by GWAS. In 2010, "Guidelines for clinical studies and tests in which pharmacogenomics is applied" was released as a draft.

摘要

个体差异的因素包括遗传因素和环境因素。全基因组关联研究(GWAS)于2002年在日本理化学研究所首次开展,现已成为一项主要的研究技术。在GWAS中,通过统计遗传学分析基因组变异与性状变异之间的关联。全基因组分布着多达10万至250万个多态性位点,分析基因型或等位基因与表型之间的关联。表型可以是疾病、身体数据或临床实验室数据,并且发现现有药物的靶点通常包含在与疾病相关的基因中。这些数据表明,GWAS的结果可应用于新药开发(GWDD;全基因组药物发现)。GWAS开始影响药物基因组学,该领域研究基因组变异与药物反应之间的关联。通过GWAS发现了与他汀类药物引起的严重肌肉损伤、干扰素治疗丙型肝炎的疗效、利巴韦林引起的溶血性贫血以及卡马西平引起的严重皮疹相关的基因。2010年,作为草案发布了“应用药物基因组学的临床研究和试验指南”。

相似文献

1
[Future directions of pharmacogenomics (PGx)].[药物基因组学(PGx)的未来发展方向]
Nihon Shinkei Seishin Yakurigaku Zasshi. 2011 Aug;31(4):149-54.
2
[Current status of researches in genomic medicine and the guidelines for pharmacogenomics (PGx)].[基因组医学研究现状及药物基因组学(PGx)指南]
Yakugaku Zasshi. 2011 Feb;131(2):263-8. doi: 10.1248/yakushi.131.263.
3
Genome-wide association studies of asthma.哮喘的全基因组关联研究。
Allergol Int. 2011 Sep;60(3):247-52. doi: 10.2332/allergolint.11-RAI-0320.
4
[Challenge in genome-wide association study for establishment of personalized medicine: focusing on the pharmacogenomics of warfarin and carbamazepine].[全基因组关联研究在个性化医疗建立中的挑战:聚焦华法林和卡马西平的药物基因组学]
Rinsho Byori. 2013 May;61(5):422-7.
5
[Future direction of pharmacogenomics: identification of genes associated with risk of adverse drug reactions using genome-wide association study].[药物基因组学的未来方向:利用全基因组关联研究鉴定与药物不良反应风险相关的基因]
Rinsho Byori. 2014 Jan;62(1):83-8.
6
[Genome-wide association studies in hepatology].[肝脏病学中的全基因组关联研究]
Z Gastroenterol. 2010 Jan;48(1):56-64. doi: 10.1055/s-0028-1109982. Epub 2010 Jan 13.
7
[Enlightenment from genome-wide association study to genetics of psoriasis].[全基因组关联研究对银屑病遗传学的启示]
Zhejiang Da Xue Xue Bao Yi Xue Ban. 2009 Jul;38(4):333-7.
8
[From pharmacogenetics to pharmacogenomics: the start of a new era of personalized medicine in nephrology].[从药物遗传学至药物基因组学:肾脏病个性化医疗新时代的开端]
G Ital Nefrol. 2010 Jul-Aug;27(4):353-66.
9
Pharmacogenomics of adverse drug reactions: implementing personalized medicine.药物不良反应的药物基因组学:实施个性化医学。
Hum Mol Genet. 2012 Oct 15;21(R1):R58-65. doi: 10.1093/hmg/dds341. Epub 2012 Aug 19.
10
Classical twin design in modern pharmacogenomics studies.现代药物基因组学研究中的经典双生子设计。
Pharmacogenomics. 2010 Feb;11(2):215-26. doi: 10.2217/pgs.09.171.