• 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

基因组路径:通向个性化和预测医学之路。

Genome paths: a way to personalized and predictive medicine.

机构信息

Ott's Institute of Obstetrics and Gynecology, Russian Academy of Medical Sciences.

出版信息

Acta Naturae. 2009 Oct;1(3):70-80.

PMID:22649616
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3347528/
Abstract

The review is devoted to the impact of human genome research on progress in modern medicine. Basic achievements in genome research have resulted in the deciphering of the human genome and creation of a molecular landmarks map of the human haploid genome (HapMap Project), which has made a tremendous contribution to our understanding of common genetic and multifactorial (complex) disorders. Current genome studies mainly focus on genetic testing and gene association studies of multifactorial (complex) diseases, with the purpose of their efficient diagnostics and prevention . Identification of candidate ("predisposition") genes participating in the functional genetic modules underlying each common disorder and the use of this genetic background to elaborate sophisticated measures to efficiently prevent them constitutes a major goal in personalized molecular medicine. The concept of a genetic pass as an individual DNA databank reflecting inherited human predisposition to different complex and monogenic disorders, with special emphasis on its present state, and the numerous difficulties related to the practical implementation of personalized medicine are outlined. The problems related to the uncertainness of the results of genetic testing could be overcome at least partly by means of new technological achievements in genome research methods, such as genome-wide association studies (GWAS), massive parallel DNA sequencing, and genetic and epigenetic profiling. The basic tasks of genomic today could be determined as the need to properly estimate the clinical value of genetic testing and its applicability in clinical practice. Feasible ways towards the gradual implementation of personal genetic data, in line with routine laboratory tests, for the benefit of clinical practice are discussed.

摘要

本文综述了人类基因组研究对现代医学进展的影响。基因组研究的基本成果导致了人类基因组的破译和人类单倍体基因组的分子标志图谱的创建(HapMap 项目),这对我们理解常见的遗传和多因素(复杂)疾病做出了巨大贡献。目前的基因组研究主要集中在多因素(复杂)疾病的遗传检测和基因关联研究上,目的是进行有效的诊断和预防。确定参与每种常见疾病功能遗传模块的候选(“易感性”)基因,并利用这种遗传背景来精心制定高效预防它们的复杂措施,这是个性化分子医学的主要目标。遗传通行证的概念是一个反映人类对不同复杂和单基因疾病遗传易感性的个体 DNA 数据库,特别强调其现状,以及与个性化医学的实际实施相关的许多困难,都在本文中进行了概述。遗传检测结果的不确定性问题至少可以通过基因组研究方法的新技术成果来部分克服,如全基因组关联研究(GWAS)、大规模平行 DNA 测序以及遗传和表观遗传分析。目前基因组学的基本任务可以确定为需要正确评估遗传检测的临床价值及其在临床实践中的适用性。本文还讨论了朝着符合常规实验室检测的方向逐步实施个人遗传数据的可行方法,以造福于临床实践。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d17b/3347528/0ec247880617/AN20758251-03-070-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d17b/3347528/9e0a82fc2294/AN20758251-03-070-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d17b/3347528/1c04e6d567b5/AN20758251-03-070-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d17b/3347528/2f8027422ab8/AN20758251-03-070-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d17b/3347528/cf8782e47dd4/AN20758251-03-070-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d17b/3347528/32de281c0230/AN20758251-03-070-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d17b/3347528/b18a255be593/AN20758251-03-070-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d17b/3347528/565c628a527a/AN20758251-03-070-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d17b/3347528/0ec247880617/AN20758251-03-070-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d17b/3347528/9e0a82fc2294/AN20758251-03-070-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d17b/3347528/1c04e6d567b5/AN20758251-03-070-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d17b/3347528/2f8027422ab8/AN20758251-03-070-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d17b/3347528/cf8782e47dd4/AN20758251-03-070-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d17b/3347528/32de281c0230/AN20758251-03-070-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d17b/3347528/b18a255be593/AN20758251-03-070-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d17b/3347528/565c628a527a/AN20758251-03-070-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d17b/3347528/0ec247880617/AN20758251-03-070-g008.jpg

相似文献

1
Genome paths: a way to personalized and predictive medicine.基因组路径:通向个性化和预测医学之路。
Acta Naturae. 2009 Oct;1(3):70-80.
2
The future of Cochrane Neonatal.考克兰新生儿协作网的未来。
Early Hum Dev. 2020 Nov;150:105191. doi: 10.1016/j.earlhumdev.2020.105191. Epub 2020 Sep 12.
3
[Genetic passport--basic contribution to active longevity and maximal life-span duration].[基因护照——对积极长寿和最长寿命的基本贡献]
Adv Gerontol. 2009;22(1):84-91.
4
Preconception genome medicine: current state and future perspectives to improve infertility diagnosis and reproductive and health outcomes based on individual genomic data.孕前基因组医学:基于个体基因组数据改善不孕诊断及生殖健康结局的现状与未来展望。
Hum Reprod Update. 2021 Feb 19;27(2):254-279. doi: 10.1093/humupd/dmaa044.
5
[The human genome project as a scientific background of preventive medicine].[作为预防医学科学背景的人类基因组计划]
Vestn Ross Akad Med Nauk. 2000(10):27-37.
6
Genomic medicine and risk prediction across the disease spectrum.基因组医学与疾病谱中的风险预测。
Crit Rev Clin Lab Sci. 2015;52(3):120-37. doi: 10.3109/10408363.2014.997930. Epub 2015 Jan 19.
7
Implementing genome-driven personalized cardiology in clinical practice.在临床实践中实施基于基因组的个性化心脏病学。
J Mol Cell Cardiol. 2018 Feb;115:142-157. doi: 10.1016/j.yjmcc.2018.01.008. Epub 2018 Jan 16.
8
[Genomic and molecular medicine].[基因组与分子医学]
Mol Biol (Mosk). 2004 Jan-Feb;38(1):110-6. doi: 10.1023/b:mbil.0000015146.27286.ec.
9
GENOME-WIDE ASSOCIATION MAPPING AND RARE ALLELES: FROM POPULATION GENOMICS TO PERSONALIZED MEDICINE - Session Introduction.全基因组关联图谱与罕见等位基因:从群体基因组学到个性化医学——会议介绍
Pac Symp Biocomput. 2011:74-5. doi: 10.1142/9789814335058_0008.
10

引用本文的文献

1
Human Exome Sequencing and Prospects for Predictive Medicine: Analysis of International Data and Own Experience.人类外显子组测序与精准医学前景:国际数据及自身经验分析
J Pers Med. 2023 Aug 8;13(8):1236. doi: 10.3390/jpm13081236.
2
European citizens' perspectives on direct-to-consumer genetic testing: an updated systematic review.欧洲公民对直接面向消费者的基因检测的看法:一项最新的系统综述。
Eur J Public Health. 2020 May 3;33(5):947-53. doi: 10.1093/eurpub/ckz246.
3
The determination of genetic markers of age-related cancer pathologies in populations from Kazakhstan.

本文引用的文献

1
Genome-wide association and replication studies identify four variants associated with prostate cancer susceptibility.全基因组关联研究和重复研究确定了与前列腺癌易感性相关的四个变异。
Nat Genet. 2009 Oct;41(10):1122-6. doi: 10.1038/ng.448. Epub 2009 Sep 20.
2
Massively parallel sequencing: the next big thing in genetic medicine.大规模平行测序:基因医学的下一个重大突破。
Am J Hum Genet. 2009 Aug;85(2):142-54. doi: 10.1016/j.ajhg.2009.06.022.
3
Evaluation of risk prediction updates from commercial genome-wide scans.商业全基因组扫描风险预测更新的评估。
确定哈萨克斯坦人群与年龄相关的癌症病理的遗传标志物。
Front Genet. 2013 May 2;4:70. doi: 10.3389/fgene.2013.00070. eCollection 2013.
Genet Med. 2009 Aug;11(8):588-94. doi: 10.1097/GIM.0b013e3181b13a4f.
4
Potential etiologic and functional implications of genome-wide association loci for human diseases and traits.全基因组关联位点对人类疾病和性状的潜在病因学及功能影响。
Proc Natl Acad Sci U S A. 2009 Jun 9;106(23):9362-7. doi: 10.1073/pnas.0903103106. Epub 2009 May 27.
5
A dynamic network approach for the study of human phenotypes.一种用于人类表型研究的动态网络方法。
PLoS Comput Biol. 2009 Apr;5(4):e1000353. doi: 10.1371/journal.pcbi.1000353. Epub 2009 Apr 10.
6
Detecting shared pathogenesis from the shared genetics of immune-related diseases.从免疫相关疾病的共同基因中检测共同发病机制。
Nat Rev Genet. 2009 Jan;10(1):43-55. doi: 10.1038/nrg2489.
7
Genome-wide association studies: a new window into immune-mediated diseases.全基因组关联研究:洞察免疫介导疾病的新窗口。
Nat Rev Immunol. 2008 Aug;8(8):631-43. doi: 10.1038/nri2361.
8
The implications of human metabolic network topology for disease comorbidity.人类代谢网络拓扑结构对疾病共病的影响。
Proc Natl Acad Sci U S A. 2008 Jul 22;105(29):9880-5. doi: 10.1073/pnas.0802208105. Epub 2008 Jul 3.
9
Genetic tests for common diseases: new insights, old concerns.常见疾病的基因检测:新见解,旧担忧。
BMJ. 2008 Mar 15;336(7644):590-3. doi: 10.1136/bmj.39506.601053.BE.
10
The success of the genome-wide association approach: a brief story of a long struggle.全基因组关联研究方法的成功:一段漫长奋斗的简史。
Eur J Hum Genet. 2008 May;16(5):554-64. doi: 10.1038/ejhg.2008.12. Epub 2008 Feb 20.