Visual exploration of genetic association with voxel-based imaging phenotypes in an MCI/AD study.
Visual exploration of genetic association with voxel-based imaging phenotypes in an MCI/AD study.
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在 MCI/AD 研究中视觉探索与基于体素的成像表型的遗传关联。
DOI：
10.1109/iembs.2009.5332570
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发表时间：
2009
期刊：
影响因子：
--
通讯作者：
West,JohnD
中科院分区：
文献类型：
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作者：
Kim,Sungeun;Shen,Li;Saykin,AndrewJ;West,JohnD
神经影像基因组学是一个新兴的跨学科研究领域，旨在通过高通量神经影像和基因组数据的综合分析来研究遗传对大脑的影响。我们报告了我们最近在开发一种成像基因组浏览系统方面的工作，该系统允许基于视觉探索的全基因组和全脑分析，并且(2)将该系统应用于现有MCI/AD队列的成像基因组分析。基于体素的形态测量用于定义成像表型。在控制相关协变量的情况下，采用ANCOVA来评估基因型和诊断相互作用对成像表型的影响。令人鼓舞的实验结果表明，所提出的系统具有巨大的潜力，可以通过视觉评估发现成像基因组关联，并定位候选成像区域和基因组区域，以进行精细的统计建模。
Neuroimaging genomics is a new transdisciplinary research field, which aims to examine genetic effects on brain via integrated analyses of high throughput neuroimaging and genomic data. We report our recent work on developing an imaging genomic browsing system that allows for whole genome and entire brain analyses based on visual exploration and (2) applying the system to the imaging genomic analysis of an existing MCI/AD cohort. Voxel-based morphometry is used to define imaging phenotypes. ANCOVA is employed to evaluate the effect of the interaction of genotypes and diagnosis in relation to imaging phenotypes while controlling for relevant covariates. Encouraging experimental results suggest that the proposed system has substantial potential for enabling discovery of imaging genomic associations through visual evaluation and for localizing candidate imaging regions and genomic regions for refined statistical modeling.