期刊文献+

全基因组及全表型组关联分析在中医药研究中应用的可能性与前景 被引量:8

Possibility and Prospect of Application of Association Study on Genomewide and Phenome-wide in Chinese Medicine Researches
原文传递
导出
摘要 中医辨证论治强调对患者进行个体化治疗,与现代医学所倡导的精准治疗有相通之处。中医体质与证候部分由先天禀赋决定,即遗传发挥了重要影响。全基因组关联分析可直接将基因变异性与疾病或生理性状相关联,全表型组关联分析可进一步获得特定的遗传变异位点所影响的不同表型。未来中医药研究中,可以通过全基因组关联分析和全表型组关联分析从全基因组的层面上来判别影响特定体质、证候与病证结合对证治疗的分子遗传基础,揭示中医辨证论治的现代生物学本质,为提高中医诊断与治疗的精准性与稳定性提供参考。 Chinese medicine syndrome differentiation treatment emphasizes individualized treatment on patients,which is similar to precision treatment proposed by modern medicine. Chinese medicine constitution and syndrome is determined partly by natural endowment,which means that inheritance plays an important role. Genomewide association study could correlate gene mutation with disease or physiological characteristics directly. Phenomewide association study could further find out different phenotypes influenced by specific genetic variation site. In future Chinese medicine researches,molecular genetic basis,which is influenced by certain constitution,syndrome and disease-syndrome combination syndrome treatment,might be differentiated from genomewide aspect by genomewide association study and phenomewide association study. The essence of modern biology of Chinese medicine syndrome differentiation treatment might be revealed. This paper might provide reference for improving the precision and stability of Chinese medicine diagnosis and treatment.
出处 《中医杂志》 CSCD 北大核心 2016年第14期1191-1194,共4页 Journal of Traditional Chinese Medicine
基金 江苏省自然科学基金(BK20141565 BK20151568) 江苏省高层次创新创业人才引进计划
关键词 全基因组关联分析 全表型组关联分析 精准医学 中医证候 中医体质 基因表型 genomewide association study phenomewide association study precision medicine Chinese medicine syndrome Chinese medicine constitution gene phenotype
  • 相关文献

参考文献22

  • 1COLLINS FS,VARMUS H.A new initiative on precision medicine[J].N Engl J Med,2015,372(9):793-795.
  • 2BALTIMORE D.Our genome unveiled[J].Nature,2001,409(6822):814-816.
  • 3武雪梅,肖华胜.人类基因组结构变异检测研究进展[J].中国科学(C辑),2009,39(3):237-244. 被引量:8
  • 4王莹,王艺,黄薇.全基因组关联分析在人类复杂疾病研究中的应用[J].诊断学理论与实践,2010,9(5):430-432. 被引量:4
  • 5LU YF,GOLDSTEIN DB,ANGRIST M,et al.Personalized medicine and human genetic diversity[J].Cold Spring Harb Perspect Med,2014,4(9):a008581.doi:10.1101/cshperspect.a008581.
  • 6KLEIN RJ,ZEISS C,CHEW EY,et al.Complement factor H polymorphism in age-related macular degeneration[J].Science,2005,308(5720):385-389.
  • 7HERBERT A,GERRY NP,MCQUEEN MB,et al.A common genetic variant is associated with adult and childhood obesity[J].Science,2006,312(5771):279-283.
  • 8SAXENA R,VOIGHT BF,LYSSENKO V,et al.Genome-wide association analysis identifies loci for type 2diabetes and triglyceride levels[J].Science,2007,316(5829):1331-1336.
  • 9SAMANI NJ,ERDMANN J,HALL AS,et al.Genomewide association analysis of coronary artery disease[J].N Engl J Med,2007,357(5):443-453.
  • 10BARRETT JC,HANSOUL S,NICOLAE DL,et al.Genome-wide association defines more than 30 distinct susceptibility loci for Crohn's disease[J].Nat Genet,2008,40(8):955-962.

二级参考文献101

  • 1王永炎.完善中医辨证方法体系的建议[J].中医杂志,2004,45(10):729-731. 被引量:246
  • 2张志斌,王永炎,封静.现代证候规范研究述评[J].中国中医基础医学杂志,2005,11(9):641-644. 被引量:35
  • 3王波,张斌,魏伟杰,马玉慧,梁茂新,王雪峰,董丹.面向中医辨证规范的交互式数据挖掘框架[J].世界科学技术-中医药现代化,2006,8(1):24-30. 被引量:23
  • 4王永炎,刘向哲.禀赋概念的理解与诠释[J].浙江中医杂志,2006,41(10):561-563. 被引量:17
  • 5张昌敏.德尔菲评价法[A].见曾光主编.现代流行病学方法与应用[C].北京:北京医科大学,中国协和医科大学联合出版社,1994.250-270.
  • 6中华中医药学会.中医内科常见病诊疗指南.北京:中国中医药出版社,2008:294-296.
  • 7Jensen FV. An introduction to Bayesian networks. New York : Springer, 1996 : 5- 6.
  • 8Heckerman D, Mamdani A , Wellman MP. Real world application of Bayesian network . Communication of ACM, 1995, 38(3) :24-26.
  • 9Feuk L, Carson A R, Scherer S W. Structural variation in the human genome. Nat Rev Genet, 2006, 7(2): 85--97.
  • 10Sachidanandam R, Weissman D, Schmidt S C, et al. A map of human genome sequence variation containing 1.42 million single nu- cleotide polymorphisms. Nature, 2001, 409(6822): 928- 933.

共引文献58

同被引文献149

引证文献8

二级引证文献39

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部