• 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

遗传学家 100 问:全基因组关联研究基础。

Genetics 100 for cardiologists: basics of genome-wide association studies.

机构信息

Departments of Medicine and Biochemistry, Schulich School of Medicine and Dentistry, University of Western Ontario, London, Ontario, Canada.

出版信息

Can J Cardiol. 2013 Jan;29(1):10-7. doi: 10.1016/j.cjca.2012.10.011. Epub 2012 Nov 28.

DOI:10.1016/j.cjca.2012.10.011
PMID:23200095
Abstract

The spring of 2012 marked the fifth anniversary of the widespread appearance in the biomedical literature of genome-wide association studies (GWAS) of diseases of adulthood. Articles reporting GWAS results now regularly appear in dozens of general medicine and cardiology journals. As of August 2012, more than 1700 published GWAS have reported findings across a range of human diseases. Many of these reported new genetic determinants of cardiovascular disease, including coronary artery disease and its risk factors such as diabetes, dyslipidemia, and hypertension. Though GWAS reports follow a standard format, superficially they can appear intimidating to most nongeneticists, whom we suspect often skip over them. Considering the importance of GWAS in cardiovascular science and medicine, and because they show no signs of fading, it is important for cardiovascular medical personnel and scientists to understand GWAS fundamentals. In this article, we provide a roadmap for the nonexpert reader to navigate through GWAS of cardiovascular disease. We cover the basic essentials needed to understand GWAS: underlying theory, mechanics, analysis and display, interpretation, and relevance. Areas covered include the relationship between GWAS and standard epidemiologic study design, the concepts of DNA sequence variation and linkage disequilibrium, the particular statistical considerations in studies involving many independent variables and large sample sizes, the meaning and interpretation of Manhattan plots, and the biologic and clinical significance of GWAS-based discoveries. We conclude with comments about the limitations of GWAS and about what to look for in the "post-GWAS era."

摘要

2012 年春季标志着成年疾病的全基因组关联研究(GWAS)在生物医学文献中广泛出现的第五个年头。报告 GWAS 结果的文章现在定期出现在数十种普通医学和心脏病学杂志上。截至 2012 年 8 月,已有超过 1700 项已发表的 GWAS 报告了一系列人类疾病的发现。其中许多报告了心血管疾病的新遗传决定因素,包括冠心病及其危险因素,如糖尿病、血脂异常和高血压。尽管 GWAS 报告遵循标准格式,但对大多数非遗传学家来说,它们表面上可能令人生畏,我们怀疑他们经常跳过这些报告。考虑到 GWAS 在心血管科学和医学中的重要性,而且它们没有消失的迹象,心血管医疗人员和科学家了解 GWAS 的基础知识非常重要。在本文中,我们为非专业读者提供了一张路线图,帮助他们理解心血管疾病的 GWAS。我们涵盖了理解 GWAS 所需的基本要素:基础理论、机制、分析和显示、解释和相关性。涵盖的领域包括 GWAS 与标准流行病学研究设计之间的关系、DNA 序列变异和连锁不平衡的概念、涉及许多独立变量和大样本量的研究中的特殊统计考虑因素、曼哈顿图的含义和解释,以及基于 GWAS 的发现的生物学和临床意义。我们最后对 GWAS 的局限性以及在“后 GWAS 时代”中应该注意的问题发表了评论。

相似文献

1
Genetics 100 for cardiologists: basics of genome-wide association studies.遗传学家 100 问:全基因组关联研究基础。
Can J Cardiol. 2013 Jan;29(1):10-7. doi: 10.1016/j.cjca.2012.10.011. Epub 2012 Nov 28.
2
Identifying disease related sub-pathways for analysis of genome-wide association studies.识别与疾病相关的子通路,用于全基因组关联研究的分析。
Gene. 2012 Jul 15;503(1):101-9. doi: 10.1016/j.gene.2012.04.051. Epub 2012 Apr 30.
3
The pursuit of genome-wide association studies: where are we now?全基因组关联研究的探索:我们现在在哪里?
J Hum Genet. 2010 Apr;55(4):195-206. doi: 10.1038/jhg.2010.19. Epub 2010 Mar 19.
4
Genes and coronary artery disease: where are we?基因与冠状动脉疾病:我们进展到哪了?
J Am Coll Cardiol. 2012 Oct 30;60(18):1715-21. doi: 10.1016/j.jacc.2011.12.062. Epub 2012 Oct 3.
5
Technological issues and experimental design of gene association studies.基因关联研究的技术问题与实验设计
Methods Mol Biol. 2011;700:3-16. doi: 10.1007/978-1-61737-954-3_1.
6
Understanding cardiovascular disease through the lens of genome-wide association studies.通过全基因组关联研究视角理解心血管疾病
Trends Genet. 2009 Sep;25(9):387-94. doi: 10.1016/j.tig.2009.07.007. Epub 2009 Aug 26.
7
Assessment of variability in GWAS with CRLMM genotyping algorithm on WTCCC coronary artery disease.评估 WTCCC 冠心病研究中使用 CRLMM 基因分型算法的 GWAS 中的变异性。
Pharmacogenomics J. 2010 Aug;10(4):347-54. doi: 10.1038/tpj.2010.27.
8
Using genome-wide pathway analysis to unravel the etiology of complex diseases.利用全基因组通路分析揭示复杂疾病的病因。
Genet Epidemiol. 2009 Jul;33(5):419-31. doi: 10.1002/gepi.20395.
9
Planning and executing a genome wide association study (GWAS).规划与开展全基因组关联研究(GWAS)。
Methods Mol Biol. 2009;590:403-18. doi: 10.1007/978-1-60327-378-7_25.
10
Planning a genome-wide association study: points to consider.规划全基因组关联研究:需要考虑的要点。
Ann Med. 2011;43(6):451-60. doi: 10.3109/07853890.2011.573803. Epub 2011 May 19.

引用本文的文献

1
Seeing more than the Tip of the Iceberg: Approaches to Subthreshold Effects in Functional Magnetic Resonance Imaging of the Brain.见微知著:脑功能磁共振成像中亚阈值效应的研究方法。
Clin Neuroradiol. 2024 Sep;34(3):531-539. doi: 10.1007/s00062-024-01422-2. Epub 2024 Jun 6.
2
Genetics of Hypertriglyceridemia.高脂血症的遗传学。
Front Endocrinol (Lausanne). 2020 Jul 24;11:455. doi: 10.3389/fendo.2020.00455. eCollection 2020.
3
BigTop: a three-dimensional virtual reality tool for GWAS visualization.BigTop:用于 GWAS 可视化的三维虚拟现实工具。
BMC Bioinformatics. 2020 Jan 31;21(1):39. doi: 10.1186/s12859-020-3373-5.
4
miR-1, miR-499 and miR-208 are sensitive markers to diagnose sudden death due to early acute myocardial infarction.miR-1、miR-499 和 miR-208 是诊断早期急性心肌梗死导致猝死的敏感标志物。
J Cell Mol Med. 2019 Sep;23(9):6005-6016. doi: 10.1111/jcmm.14463. Epub 2019 Jun 26.
5
Differential methylation pattern in patients with coronary artery disease: pilot study.冠状动脉疾病患者的甲基化差异模式:初步研究。
Mol Biol Rep. 2019 Feb;46(1):541-550. doi: 10.1007/s11033-018-4507-y. Epub 2018 Nov 23.
6
How Genomics Is Personalizing the Management of Dyslipidemia and Cardiovascular Disease Prevention.基因组学如何实现血脂异常管理和心血管疾病预防的个体化。
Curr Cardiol Rep. 2018 Oct 17;20(12):138. doi: 10.1007/s11886-018-1079-3.
7
Genetic Influences on Patient-Oriented Outcomes in Traumatic Brain Injury: A Living Systematic Review of Non-Apolipoprotein E Single-Nucleotide Polymorphisms.遗传对创伤性脑损伤患者结局的影响:非载脂蛋白 E 单核苷酸多态性的活体系统综述。
J Neurotrauma. 2021 Apr 15;38(8):1107-1123. doi: 10.1089/neu.2017.5583. Epub 2019 Jun 7.
8
Genome-wide DNA methylation patterns in coronary heart disease.冠心病中的全基因组DNA甲基化模式
Herz. 2018 Nov;43(7):656-662. doi: 10.1007/s00059-017-4616-8. Epub 2017 Sep 7.
9
Does a medical history of hypertension influence disclosing genetic testing results of the risk for salt-sensitive hypertension, in primary care?在初级保健中,高血压病史是否会影响盐敏感性高血压风险的基因检测结果的披露?
Int J Gen Med. 2016 Jul 27;9:257-66. doi: 10.2147/IJGM.S111337. eCollection 2016.
10
Lipid levels in HIV-positive men receiving anti-retroviral therapy are not associated with copy number variation of reverse cholesterol transport pathway genes.接受抗逆转录病毒治疗的HIV阳性男性的血脂水平与逆向胆固醇转运途径基因的拷贝数变异无关。
BMC Res Notes. 2015 Nov 21;8:697. doi: 10.1186/s13104-015-1665-z.