Suppr超能文献

肺部疾病全基因组关联研究的现状:新视角。

The state of genome-wide association studies in pulmonary disease: a new perspective.

机构信息

Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Internal Medicine, Duke University Medical Center, Durham, NC 27710, USA.

出版信息

Am J Respir Crit Care Med. 2011 Oct 15;184(8):873-80. doi: 10.1164/rccm.201106-0971PP. Epub 2011 Jul 28.

Abstract

With rapid advances in our knowledge of the human genome and increasing availability of high-throughput investigative technology, genome-wide association (GWA) studies have recently gained marked popularity. As an unbiased approach to identifying genomic regions of importance in complex human disease, the results of such studies have the potential to illuminate novel causal pathways, guide mechanistic research, and aid in prediction of disease risk. The use of a genome-wide approach presents considerable methodological and statistical challenges, and properly conducted studies are essential to avoid false-positive results. A total of 22 GWA studies have been published in pulmonary medicine thus far, implicating several intriguing genomic regions in the determination of pulmonary function measures, onset of asthma, and susceptibility to chronic obstructive pulmonary disease. Many questions remain, however, as most identified genetic variants contribute only nominally to overall disease risk, genetic disease mechanisms remain uncertain, and disease-associated variants are not consistent across studies. Perhaps most fundamentally, the association signals identified have not yet been traced to causal variants. This perspective will review the current state of GWA studies in pulmonary disease. We begin with an introduction to the hypothesis, principles, and limitations of this type of genome-wide approach, highlight key points from available studies, and conclude by addressing future approaches to better understand the genetics of complex pulmonary disease.

摘要

随着我们对人类基因组认识的迅速提高和高通量研究技术的日益普及,全基因组关联(GWA)研究最近受到了广泛关注。作为一种识别复杂人类疾病中重要基因组区域的无偏方法,此类研究的结果有可能阐明新的因果途径,指导机制研究,并有助于预测疾病风险。全基因组方法的应用带来了相当大的方法学和统计学挑战,因此必须进行适当的研究以避免假阳性结果。迄今为止,在肺部医学领域已经发表了 22 项 GWA 研究,这些研究表明,几个有趣的基因组区域与肺功能测量、哮喘发作和慢性阻塞性肺疾病易感性有关。然而,仍有许多问题悬而未决,因为大多数确定的遗传变异仅对整体疾病风险有微小贡献,遗传疾病机制仍不确定,并且与疾病相关的变异在不同的研究中并不一致。也许最重要的是,所确定的关联信号尚未追溯到因果变异。这篇观点文章将回顾肺部疾病中 GWA 研究的现状。我们首先介绍这种全基因组方法的假设、原理和局限性,强调现有研究中的关键点,最后探讨未来更好地理解复杂肺部疾病遗传学的方法。

相似文献

1
The state of genome-wide association studies in pulmonary disease: a new perspective.肺部疾病全基因组关联研究的现状:新视角。
Am J Respir Crit Care Med. 2011 Oct 15;184(8):873-80. doi: 10.1164/rccm.201106-0971PP. Epub 2011 Jul 28.
5
Genetics of complex airway disease.复杂气道疾病的遗传学。
Proc Am Thorac Soc. 2011 May;8(2):149-53. doi: 10.1513/pats.201101-003MS.
6
Genome-wide association studies in the genetics of asthma.哮喘遗传学的全基因组关联研究。
Curr Allergy Asthma Rep. 2009 Jan;9(1):3-9. doi: 10.1007/s11882-009-0001-x.
9
Emerging genetics of COPD.COPD 的新兴遗传学研究。
EMBO Mol Med. 2012 Nov;4(11):1144-55. doi: 10.1002/emmm.201100627. Epub 2012 Oct 23.

引用本文的文献

9
The impact of personalised therapies on respiratory medicine.个体化治疗对呼吸医学的影响。
Eur Respir Rev. 2013 Mar 1;22(127):72-4. doi: 10.1183/09059180.00008212.

本文引用的文献

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