• 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

相似文献

1
On the challenges of the HapMap resource.关于HapMap资源的挑战。
Bioinformation. 2008 Jan 11;2(6):238-9. doi: 10.6026/97320630002238.
2
The HapMap Resource is Providing New Insights into Ourselves and its Application to Pharmacogenomics.HapMap资源为我们了解自身提供了新的视角及其在药物基因组学中的应用。
Bioinform Biol Insights. 2008;2:15-23. doi: 10.4137/bbi.s455. Epub 2008 Feb 1.
3
Beyond the HapMap Genotypic Data: Prospects of Deep Resequencing Projects.超越HapMap基因分型数据:深度重测序项目的前景
Curr Bioinform. 2008 Sep 1;3(3):178. doi: 10.2174/157489308785909232.
4
Impact of the 1000 genomes project on the next wave of pharmacogenomic discovery.1000 基因组计划对下一代药物基因组学发现的影响。
Pharmacogenomics. 2010 Feb;11(2):249-56. doi: 10.2217/pgs.09.173.
5
Pharmacogenomic discovery using cell-based models.基于细胞模型的药物基因组学发现。
Pharmacol Rev. 2009 Dec;61(4):413-29. doi: 10.1124/pr.109.001461.
6
Population differences in the rate of proliferation of international HapMap cell lines.国际 HapMap 细胞系增殖率的人群差异。
Am J Hum Genet. 2010 Dec 10;87(6):829-33. doi: 10.1016/j.ajhg.2010.10.018. Epub 2010 Nov 25.
7
HapMap filter 1.0: a tool to preprocess the HapMap genotypic data for association studies.HapMap过滤器1.0:一种为关联研究预处理HapMap基因型数据的工具。
Bioinformation. 2008 May 13;2(8):322-4. doi: 10.6026/97320630002322.
8
Cell-based Models for Discovery of Pharmacogenomic Markers of Anticancer Agent Toxicity.用于发现抗癌药物毒性的药物基因组学标志物的细胞模型
Trends Cancer Res. 2008;4:1-13.
9
Genome-wide associations of gene expression variation in humans.人类基因表达变异的全基因组关联研究
PLoS Genet. 2005 Dec;1(6):e78. doi: 10.1371/journal.pgen.0010078. Epub 2005 Dec 16.
10
Mixed effects modeling of proliferation rates in cell-based models: consequence for pharmacogenomics and cancer.基于细胞模型的增殖率混合效应建模:对药物基因组学和癌症的影响。
PLoS Genet. 2012 Feb;8(2):e1002525. doi: 10.1371/journal.pgen.1002525. Epub 2012 Feb 9.

引用本文的文献

1
Individual Differences in the Response of Human β-Lymphoblastoid Cells to the Cytotoxic, Mutagenic, and DNA-Damaging Effects of a DNA Methylating Agent, -Methylnitrosourethane.人β-淋巴母细胞对 DNA 甲基化剂 N-甲基-N-亚硝基脲的细胞毒性、致突变和 DNA 损伤作用的反应存在个体差异。
Chem Res Toxicol. 2019 Nov 18;32(11):2214-2226. doi: 10.1021/acs.chemrestox.9b00266. Epub 2019 Oct 21.
2
Pharmacogenomic Discovery Delineating the Genetic Basis of Drug Response.药物基因组学发现:描绘药物反应的遗传基础
Curr Genet Med Rep. 2013 Sep 1;1(3):143-149. doi: 10.1007/s40142-013-0019-1.
3
Cell-based Models for Discovery of Pharmacogenomic Markers of Anticancer Agent Toxicity.用于发现抗癌药物毒性的药物基因组学标志物的细胞模型
Trends Cancer Res. 2008;4:1-13.
4
Common functional genetic variants in catecholamine storage vesicle protein promoter motifs interact to trigger systemic hypertension.常见的儿茶酚胺储存囊泡蛋白启动子基序中的功能遗传变异相互作用,引发系统性高血压。
J Am Coll Cardiol. 2010 Apr 6;55(14):1463-75. doi: 10.1016/j.jacc.2009.11.064.
5
Beyond the HapMap Genotypic Data: Prospects of Deep Resequencing Projects.超越HapMap基因分型数据:深度重测序项目的前景
Curr Bioinform. 2008 Sep 1;3(3):178. doi: 10.2174/157489308785909232.
6
Impact of the 1000 genomes project on the next wave of pharmacogenomic discovery.1000 基因组计划对下一代药物基因组学发现的影响。
Pharmacogenomics. 2010 Feb;11(2):249-56. doi: 10.2217/pgs.09.173.
7
A survey of the population genetic variation in the human kinome.人类激酶组中群体遗传变异的一项调查。
J Hum Genet. 2009 Aug;54(8):488-92. doi: 10.1038/jhg.2009.72. Epub 2009 Jul 31.
8
Identification of common genetic variants that account for transcript isoform variation between human populations.鉴定导致人类群体间转录本异构体变异的常见遗传变异。
Hum Genet. 2009 Feb;125(1):81-93. doi: 10.1007/s00439-008-0601-x. Epub 2008 Dec 4.
9
Exploring the evolutionary history of the differentially expressed genes between human populations: action of recent positive selection.探索人类群体之间差异表达基因的进化历史:近期正选择的作用。
Evol Bioinform Online. 2008 May 15;4:171-9. doi: 10.4137/ebo.s744.
10
SNPinProbe_1.0: a database for filtering out probes in the Affymetrix GeneChip human exon 1.0 ST array potentially affected by SNPs.SNPinProbe_1.0:一个用于筛选出可能受单核苷酸多态性(SNP)影响的Affymetrix GeneChip人类外显子1.0 ST阵列中探针的数据库。
Bioinformation. 2008 Aug 1;2(10):469-70. doi: 10.6026/97320630002469.

本文引用的文献

1
The HapMap Resource is Providing New Insights into Ourselves and its Application to Pharmacogenomics.HapMap资源为我们了解自身提供了新的视角及其在药物基因组学中的应用。
Bioinform Biol Insights. 2008;2:15-23. doi: 10.4137/bbi.s455. Epub 2008 Feb 1.
2
On the design and analysis of gene expression studies in human populations.关于人类群体基因表达研究的设计与分析。
Nat Genet. 2007 Jul;39(7):807-8; author reply 808-9. doi: 10.1038/ng0707-807.
3
How well do HapMap SNPs capture the untyped SNPs?HapMap单核苷酸多态性(SNPs)对未分型的SNPs的捕获效果如何?
BMC Genomics. 2006 Sep 19;7:238. doi: 10.1186/1471-2164-7-238.
4
Epstein-Barr virus nuclear antigen 2 inhibits AID expression during EBV-driven B-cell growth.爱泼斯坦-巴尔病毒核抗原2在爱泼斯坦-巴尔病毒驱动的B细胞生长过程中抑制活化诱导胞嘧啶脱氨酶的表达。
Blood. 2006 Dec 1;108(12):3859-64. doi: 10.1182/blood-2006-05-021303. Epub 2006 Aug 1.
5
Multi-species microarrays reveal the effect of sequence divergence on gene expression profiles.多物种微阵列揭示了序列差异对基因表达谱的影响。
Genome Res. 2005 May;15(5):674-80. doi: 10.1101/gr.3335705.
6
The ENCODE (ENCyclopedia Of DNA Elements) Project.DNA 元件百科全书(ENCODE)计划
Science. 2004 Oct 22;306(5696):636-40. doi: 10.1126/science.1105136.
7
Epstein-Barr virus latent membrane protein 1 induces micronucleus formation, represses DNA repair and enhances sensitivity to DNA-damaging agents in human epithelial cells.爱泼斯坦-巴尔病毒潜伏膜蛋白1诱导人上皮细胞中微核形成,抑制DNA修复并增强对DNA损伤剂的敏感性。
Oncogene. 2004 Apr 1;23(14):2531-9. doi: 10.1038/sj.onc.1207375.
8
The International HapMap Project.国际人类基因组单体型图计划
Nature. 2003 Dec 18;426(6968):789-96. doi: 10.1038/nature02168.

关于HapMap资源的挑战。

On the challenges of the HapMap resource.

作者信息

Zhang Wei, Dolan M Eileen

机构信息

Section of Hematology/Oncology, Department of Medicine, University of Chicago, Chicago, IL 60637, USA.

出版信息

Bioinformation. 2008 Jan 11;2(6):238-9. doi: 10.6026/97320630002238.

DOI:10.6026/97320630002238
PMID:18317571
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2258425/
Abstract

The International HapMap Project provides a key resource of genotypic data on human lymphoblastoid cell lines derived from four major world populations of European, African, Chinese and Japanese ancestry for researchers to associate with various phenotypic data to find genes affecting health, disease and response to drugs. Recently, the HapMap resource has significantly benefited research areas such as gene expression variation studies. Besides some intrinsic limitations, there are a few challenges that should be considered in the next wave of research using this tremendous resource. We suggest that overcoming these challenges or considering the confounding variables in the interpretation of results can provide more insights into the current views of the human genome as well as complex traits such as drug response variation and susceptibility to common diseases.

摘要

国际人类基因组单体型图计划提供了一个关键资源,即关于人类淋巴母细胞系的基因型数据,这些细胞系源自欧洲、非洲、中国和日本血统的四个主要世界人群,供研究人员将其与各种表型数据相关联,以寻找影响健康、疾病和药物反应的基因。最近,人类基因组单体型图资源极大地惠及了基因表达变异研究等研究领域。除了一些内在局限性外,在利用这一巨大资源进行的下一波研究中,还有一些挑战需要考虑。我们建议,克服这些挑战或在结果解释中考虑混杂变量,可以为当前对人类基因组以及诸如药物反应变异和常见疾病易感性等复杂性状的看法提供更多见解。