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本文引用的文献

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Refining genetic associations in multiple sclerosis.细化多发性硬化症中的基因关联。
Lancet Neurol. 2008 Jul;7(7):567-9. doi: 10.1016/S1474-4422(08)70122-4.
2
Copy-number variation in sporadic amyotrophic lateral sclerosis: a genome-wide screen.散发性肌萎缩侧索硬化症中的拷贝数变异:全基因组筛查
Lancet Neurol. 2008 Apr;7(4):319-26. doi: 10.1016/S1474-4422(08)70048-6. Epub 2008 Mar 3.
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Structural genomic variation in ischemic stroke.缺血性卒中的结构基因组变异
Neurogenetics. 2008 May;9(2):101-8. doi: 10.1007/s10048-008-0119-3. Epub 2008 Feb 21.
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A genetic risk factor for periodic limb movements in sleep.睡眠中周期性肢体运动的一个遗传风险因素。
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Breakthrough of the year. Human genetic variation.年度突破。人类基因变异。
Science. 2007 Dec 21;318(5858):1842-3. doi: 10.1126/science.318.5858.1842.
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Genetic variation in DPP6 is associated with susceptibility to amyotrophic lateral sclerosis.二肽基肽酶6(DPP6)的基因变异与肌萎缩侧索硬化症的易感性相关。
Nat Genet. 2008 Jan;40(1):29-31. doi: 10.1038/ng.2007.52. Epub 2007 Dec 16.
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A genome-wide association study of sporadic ALS in a homogenous Irish population.在同质爱尔兰人群中开展的散发性肌萎缩侧索硬化症全基因组关联研究。
Hum Mol Genet. 2008 Mar 1;17(5):768-74. doi: 10.1093/hmg/ddm361. Epub 2007 Dec 5.
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Genomewide SNP assay reveals mutations underlying Parkinson disease.全基因组单核苷酸多态性分析揭示帕金森病潜在的突变。
Hum Mutat. 2008 Feb;29(2):315-22. doi: 10.1002/humu.20626.
9
A second generation human haplotype map of over 3.1 million SNPs.一张包含超过310万个单核苷酸多态性的第二代人类单倍型图谱。
Nature. 2007 Oct 18;449(7164):851-61. doi: 10.1038/nature06258.
10
ITPR2 as a susceptibility gene in sporadic amyotrophic lateral sclerosis: a genome-wide association study.ITPR2作为散发性肌萎缩侧索硬化症的一个易感基因:一项全基因组关联研究。
Lancet Neurol. 2007 Oct;6(10):869-77. doi: 10.1016/S1474-4422(07)70222-3.

神经系统疾病的全基因组关联研究。

Genome-wide association studies in neurological disorders.

作者信息

Simón-Sánchez Javier, Singleton Andrew

机构信息

Molecular Genetics Section, Laboratory of Neurogenetics, Intramural Research Program, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA.

出版信息

Lancet Neurol. 2008 Nov;7(11):1067-72. doi: 10.1016/S1474-4422(08)70241-2.

DOI:10.1016/S1474-4422(08)70241-2
PMID:18940696
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2824165/
Abstract

BACKGROUND

During the past decade, the genetic causes of monogenic forms of disease have been successfully defined; this work has helped the progression of basic scientific investigation into many disorders, and has helped to characterise several molecular biological processes. An important goal of genetic research is to extend this work and define genetic risk factor loci for complex disorders. The aim is for these data not only to offer further basic understanding of the disease process, but also to provide the opportunity to obtain genetic risk assessments that could be generalised to the public.

RECENT DEVELOPMENTS

The development of resources such as the Human Genome Project and the International Human Haplotype Map Project, coupled with technological advances in ultra-high-throughput genotyping, have provided the basis for genome-wide association studies (GWAS). This approach has been successful for several complex disorders in a short time. Although GWAS are still a new method, these studies have been used for a small number of neurological disorders and, despite varied results for these conditions, GWAS can usefully show the power and limitations of this approach. WHERE NEXT?: GWAS have the potential to show and emphasise common genetic variability associated with disease. However, a challenge of this approach is that large sample series and considerable resources are required. One important consideration will be the interpretation of the results of GWAS in a clinically meaningful way and to discern the implications for all therapy areas, including neurological disorders; this challenge will require specialised skills and resources from both the medical and the scientific communities.

摘要

背景

在过去十年中,单基因疾病形式的遗传病因已得到成功确定;这项工作推动了对许多疾病的基础科学研究进展,并有助于描述若干分子生物学过程。遗传研究的一个重要目标是扩展这项工作,并确定复杂疾病的遗传风险因素位点。目的是使这些数据不仅能提供对疾病过程的进一步基础理解,还能提供获得可推广至公众的遗传风险评估的机会。

近期进展

人类基因组计划和国际人类单倍型图谱计划等资源的开发,以及超高通量基因分型技术的进步,为全基因组关联研究(GWAS)提供了基础。这种方法在短时间内已成功应用于多种复杂疾病。尽管GWAS仍是一种新方法,但这些研究已用于少数神经系统疾病,尽管这些疾病的结果各不相同,但GWAS能有效地显示这种方法的优势和局限性。

未来方向

GWAS有潜力展示并强调与疾病相关的常见遗传变异性。然而,这种方法面临的一个挑战是需要大量样本系列和相当多的资源。一个重要的考虑因素将是以临床有意义的方式解释GWAS的结果,并辨别其对所有治疗领域(包括神经系统疾病)的影响;这一挑战将需要医学和科学界的专业技能和资源。