Using gene expression to investigate the genetic basis of complex disorders.

Using gene expression to investigate the genetic basis of complex disorders.
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使用基因表达研究复杂疾病的遗传基础。

DOI:
10.1093/hmg/ddn285
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发表时间:
2008-10-15
影响因子:
3.5
通讯作者:
Dermitzakis, Emmanouil T.
Dermitzakis, Emmanouil T.
中科院分区:
生物学2区
文献类型:
--
作者:
Nica, Alexandra C.;Dermitzakis, Emmanouil T.

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通过全基因组关联研究(GWAS)识别复杂疾病易感位点最近已成为可能,并且现已成为研究复杂性状遗传基础的一种选择方法。此类研究的结果数量不断增加,但面临的挑战是确定这些具有统计学意义的候选变体发挥作用的生物学背景。调节变异在塑造个体之间的表型差异方面发挥着重要作用,因此也很可能影响疾病易感性。因此,将基因表达数据和其他疾病相关的中间表型与 GWAS 结果整合可能有助于优先考虑精细绘图工作,并为疾病生物学提供一条捷径。然而,以有意义的方式组合这些不同级别的信息并非易事。在本综述中,我们概述了迄今为止在这个意义上已经探索的几种方法及其成就。我们还讨论了这些方法的局限性以及即将到来的技术发展如何帮助规避这些限制。总体而言,这些努力将非常有助于理解对疾病和疾病病因学的初步调节作用。
The identification of complex disease susceptibility loci through genome-wide association studies (GWAS) has recently become possible and is now a method of choice for investigating the genetic basis of complex traits. The number of results from such studies is constantly increasing but the challenge lying forward is to identify the biological context in which these statistically significant candidate variants act. Regulatory variation plays an important role in shaping phenotypic differences among individuals and thus is very likely to also influence disease susceptibility. As such, integrating gene expression data and other disease relevant intermediate phenotypes with GWAS results could potentially help prioritize fine-mapping efforts and provide a shortcut to disease biology. Combining these different levels of information in a meaningful way is however not trivial. In the present review we outline the several approaches that have been explored so far in this sense and their achievements. We also discuss the limitations of the methods and how upcoming technological developments could help circumvent these limitations. Overall, such efforts will be very helpful in understanding initially regulatory effects on disease and disease etiology in general.
DOI: 10.1038/ng.120
发表时间: 2008-05
期刊: NATURE GENETICS
影响因子: 30.8
作者:
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发表时间: 2007-10-18
期刊: NATURE
影响因子: 64.8
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发表时间: 2008-05-06
期刊: PLoS biology
影响因子: 9.8
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DOI: 10.1126/science.1092500
发表时间: 2004-04-23
期刊: SCIENCE
影响因子: 56.9
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发表时间: 2007-10-01
期刊: NATURE GENETICS
影响因子: 30.8
作者:
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通讯作者: Blangero, John