• 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

识别复杂人类疾病相关基因的方法:孟德尔疾病的经验教训

Approaches to identify genes for complex human diseases: lessons from Mendelian disorders.

作者信息

Dean Michael

机构信息

Laboratory of Genomic Diversity, National Cancer Institute-Frederick, Frederick, Maryland 21702, USA.

出版信息

Hum Mutat. 2003 Oct;22(4):261-74. doi: 10.1002/humu.10259.

DOI:10.1002/humu.10259
PMID:12955713
Abstract

The focus of most molecular genetics research is the identification of genes involved in human disease. In the 20th century, genetics progressed from the rediscovery of Mendel's Laws to the identification of nearly every Mendelian genetic disease. At this pace, the genetic component of all complex human diseases could be identified by the end of the 21st century, and rational therapies could be developed. However, it is clear that no one approach will identify the genes for all diseases with a genetic component, because multiple mechanisms are involved in altering human phenotypes, including common alleles with small to moderate effects, rare alleles with moderate to large effects, complex gene-gene and gene-environment interactions, genomic alterations, and noninherited genetic effects. The knowledge gained from the study of Mendelian diseases may be applied to future research that combines linkage-based, association-based, and sequence-based approaches to detect most disease alleles. The technology to complete these studies is at hand and requires that modest improvements be applied on a wide scale. Improved analytical tools, phenotypic characterizations, and functional analyses will enable complete understanding of the genetic basis of complex diseases.

摘要

大多数分子遗传学研究的重点是确定与人类疾病相关的基因。在20世纪,遗传学从孟德尔定律的重新发现发展到几乎识别出每一种孟德尔遗传病。按照这个速度,到21世纪末,所有复杂人类疾病的遗传成分都可能被识别出来,并且可以开发出合理的治疗方法。然而,很明显,没有一种方法能识别出所有具有遗传成分疾病的基因,因为改变人类表型涉及多种机制,包括具有小到中等效应的常见等位基因、具有中等至大效应的罕见等位基因、复杂的基因-基因和基因-环境相互作用、基因组改变以及非遗传遗传效应。从孟德尔疾病研究中获得的知识可应用于未来的研究,这些研究结合基于连锁、基于关联和基于序列的方法来检测大多数疾病等位基因。完成这些研究的技术已经具备,只需要在广泛范围内进行适度改进。改进的分析工具、表型特征描述和功能分析将使人们能够全面了解复杂疾病的遗传基础。

相似文献

1
Approaches to identify genes for complex human diseases: lessons from Mendelian disorders.识别复杂人类疾病相关基因的方法:孟德尔疾病的经验教训
Hum Mutat. 2003 Oct;22(4):261-74. doi: 10.1002/humu.10259.
2
Genome-wide strategies for detecting multiple loci that influence complex diseases.用于检测影响复杂疾病的多个基因座的全基因组策略。
Nat Genet. 2005 Apr;37(4):413-7. doi: 10.1038/ng1537. Epub 2005 Mar 27.
3
The role of genes in disease: beware of simplistic interpretations!基因在疾病中的作用:谨防简单化的解读!
Prescrire Int. 2009 Dec;18(104):279-82.
4
Genetics of complex disorders.复杂疾病的遗传学。
Biochem Biophys Res Commun. 2010 May 21;396(1):143-6. doi: 10.1016/j.bbrc.2010.04.013.
5
The search for complex disease genes: fault by linkage or fault by association?复杂疾病基因的探寻:连锁分析之误还是关联分析之误?
Mol Psychiatry. 2001 Mar;6(2):143-9. doi: 10.1038/sj.mp.4000845.
6
Mapping the new frontier: complex genetic disorders.探索新领域:复杂基因疾病
J Clin Invest. 2005 Jun;115(6):1404-7. doi: 10.1172/JCI25421.
7
DNA variation and the future of human genetics.DNA变异与人类遗传学的未来。
Nat Biotechnol. 1998 Jan;16(1):33-9. doi: 10.1038/nbt0198-33.
8
The search for genenotype/phenotype associations and the phenome scan.寻找基因型/表型关联以及进行全表型组扫描。
Paediatr Perinat Epidemiol. 2005 Jul;19(4):264-75. doi: 10.1111/j.1365-3016.2005.00664.x.
9
Copy number variants and genetic traits: closer to the resolution of phenotypic to genotypic variability.拷贝数变异与遗传性状:更接近表型到基因型变异性的解析
Nat Rev Genet. 2007 Aug;8(8):639-46. doi: 10.1038/nrg2149.
10
Statistical tools for linkage analysis and genetic association studies.用于连锁分析和基因关联研究的统计工具。
Expert Rev Mol Diagn. 2005 Sep;5(5):781-96. doi: 10.1586/14737159.5.5.781.

引用本文的文献

1
Genetic Burden Contributing to Extremely Low or High Bone Mineral Density in a Senior Male Population From the Osteoporotic Fractures in Men Study (MrOS).男性骨质疏松性骨折研究(MrOS)中导致老年男性人群骨密度极低或极高的遗传负担
JBMR Plus. 2020 Jan 22;4(3):e10335. doi: 10.1002/jbm4.10335. eCollection 2020 Mar.
2
The new sequencer on the block: comparison of Life Technology's Proton sequencer to an Illumina HiSeq for whole-exome sequencing.新一代测序仪:Life Technology 公司 Proton 测序仪与 Illumina HiSeq 系统在全外显子组测序中的比较。
Hum Genet. 2013 Oct;132(10):1153-63. doi: 10.1007/s00439-013-1321-4. Epub 2013 Jun 12.
3
The persistence of atopic dermatitis and filaggrin (FLG) mutations in a US longitudinal cohort.
美国纵向队列中特应性皮炎和丝聚蛋白(FLG)突变的持续存在。
J Allergy Clin Immunol. 2012 Oct;130(4):912-7. doi: 10.1016/j.jaci.2012.07.008. Epub 2012 Aug 27.
4
Introduction to genetics and childhood obesity: relevance to nursing practice.遗传学与儿童肥胖:与护理实践的相关性。
Biol Res Nurs. 2011 Jan;13(1):61-9. doi: 10.1177/1099800410381424. Epub 2010 Aug 26.
5
Gene polymorphisms in chronic periodontitis.慢性牙周炎中的基因多态性。
Int J Dent. 2010;2010:324719. doi: 10.1155/2010/324719. Epub 2010 Feb 9.
6
Similarly strong purifying selection acts on human disease genes of all evolutionary ages.同样强烈的净化选择作用于所有进化年龄的人类疾病基因。
Genome Biol Evol. 2009 May 27;1:131-44. doi: 10.1093/gbe/evp013.
7
A powerful genome-wide feasible approach to detect parent-of-origin effects in studies of quantitative traits.一种强大的全基因组可行方法,用于检测数量性状研究中的亲本来源效应。
Eur J Hum Genet. 2010 Mar;18(3):379-84. doi: 10.1038/ejhg.2009.167. Epub 2009 Oct 7.
8
CBCL pediatric bipolar disorder profile and ADHD: comorbidity and quantitative trait loci analysis.CBCL 儿童双相障碍特征与 ADHD:共病与数量性状基因座分析。
J Am Acad Child Adolesc Psychiatry. 2008 Oct;47(10):1151-7. doi: 10.1097/CHI.0b013e3181825a68.
9
Review and evaluation of methods correcting for population stratification with a focus on underlying statistical principles.针对群体分层校正方法的回顾与评估,重点关注其潜在的统计原理。
Hum Hered. 2008;66(2):67-86. doi: 10.1159/000119107. Epub 2008 Mar 31.
10
GnRH and LHR gene variants predict adverse outcome in premenopausal breast cancer patients.促性腺激素释放激素(GnRH)和促黄体生成素受体(LHR)基因变异可预测绝经前乳腺癌患者的不良预后。
Breast Cancer Res. 2007;9(4):R51. doi: 10.1186/bcr1756.