Voxelwise genome-wide association study (vGWAS).

Voxelwise genome-wide association study (vGWAS).
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DOI:
10.1016/j.neuroimage.2010.02.032
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发表时间:
2010-11-15
期刊:
影响因子:
5.7
通讯作者:
Thompson, Paul M.
Thompson, Paul M.
中科院分区:
医学1区
文献类型:
--
作者:
Stein, Jason L.;Hua, Xue;Lee, Suh;Ho, April J.;Leow, Alex D.;Toga, Arthur W.;Saykin, Andrew J.;Shen, Li;Foroud, Tatiana;Pankratz, Nathan;Huentelman, Matthew J.;Craig, David W.;Gerber, Jill D.;Allen, April N.;Corneveaux, Jason J.;DeChairo, Bryan M.;Potkin, Steven G.;Weiner, Michael W.;Thompson, Paul M.

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人脑的结构是高度可遗传的,被认为受到许多常见的遗传变异的影响,其中许多目前尚不清楚。神经成像和遗传学的最新进展使收集高度详细的结构脑扫描和全基因组基因信息成为可能。这些丰富的信息为发现影响大脑结构的基因提供了新的机会。在这里,我们探讨了740名老年受试者(平均年龄±S.D.:75.52±6.82岁;438名男性)全脑31,622个体素中每个体素的448,293个单核苷酸多态之间的关系,其中包括阿尔茨海默病、轻度认知障碍的受试者,以及阿尔茨海默病神经成像计划(ADNI)的健康老年对照组。我们使用基于张量的形态计量学来测量体素水平的大脑结构相对于基于健康老年受试者的特定研究模板的个体差异。然后,我们在每个体素上进行了全基因组关联,以确定感兴趣的遗传变异。通过只研究每个体素上最相关的变量,我们开发了一种新的方法来解决与前所未有的数据量相关的多重比较问题和计算负担。没有变异体在严格的意义标准下存活下来,但发现了几个值得进一步研究的基因,包括CSMD2和CADPS2。这些基因与大脑结构高度相关。这是我们所知的第一个体素全基因组关联研究,为发现遗传对大脑结构的影响提供了一种新的方法。
The structure of the human brain is highly heritable, and is thought to be influenced by many common genetic variants, many of which are currently unknown. Recent advances in neuroimaging and genetics have allowed collection of both highly detailed structural brain scans and genome-wide genotype information. This wealth of information presents a new opportunity to find the genes influencing brain structure. Here we explore the relation between 448,293 single nucleotide polymorphisms in each of 31,622 voxels of the entire brain across 740 elderly subjects (mean age±s.d.: 75.52±6.82 years; 438 male) including subjects with Alzheimer's disease, Mild Cognitive Impairment, and healthy elderly controls from the Alzheimer's Disease Neuroimaging Initiative (ADNI). We used tensor-based morphometry to measure individual differences in brain structure at the voxel level relative to a study-specific template based on healthy elderly subjects. We then conducted a genome-wide association at each voxel to identify genetic variants of interest. By studying only the most associated variant at each voxel, we developed a novel method to address the multiple comparisons problem and computational burden associated with the unprecedented amount of data. No variant survived the strict significance criterion, but several genes worthy of further exploration were identified, including CSMD2 and CADPS2. These genes have high relevance to brain structure. This is the first voxelwise genome wide association study to our knowledge, and offers a novel method to discover genetic influences on brain structure.
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发表时间: 2001-06-05
影响因子: 11.1
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通讯作者: Weinberger, DR
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发表时间: 2008-05-01
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