Novak Nic M, Stein Jason L, Medland Sarah E, Hibar Derrek P, Thompson Paul M, Toga Arthur W
Laboratory of Neuro Imaging, David Geffen School of Medicine, UCLA, Los Angeles, CA, USA.
Twin Res Hum Genet. 2012 Jun;15(3):414-8. doi: 10.1017/thg.2012.17.
In an attempt to increase power to detect genetic associations with brain phenotypes derived from human neuroimaging data, we recently conducted a large-scale, genome-wide association meta-analysis of hippocampal, brain, and intracranial volume through the Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA) consortium. Here, we present a freely available online interactive tool, EnigmaVis, which makes it easy to visualize the association results generated by the consortium alongside allele frequency, genes, and functional annotations. EnigmaVis runs natively within the web browser, and generates plots that show the level of association between brain phenotypes at user-specified genomic positions. Uniquely, EnigmaVis is dynamic; users can interact with elements on the plot in real time. This software will be useful when exploring the effect on brain structure of particular genetic variants influencing neuropsychiatric illness and cognitive function. Future projects of the consortium and updates to EnigmaVis will also be displayed on the site. EnigmaVis is freely available online at http://enigma.loni.ucla.edu/enigma-vis/
为了提高检测与源自人类神经影像数据的脑表型的基因关联的效能，我们最近通过荟萃分析增强神经影像遗传学（ENIGMA）联盟，对海马体、脑和颅内体积进行了大规模全基因组关联荟萃分析。在此，我们展示了一个免费在线交互式工具EnigmaVis，它便于直观呈现联盟生成的关联结果以及等位基因频率、基因和功能注释。EnigmaVis在网络浏览器中原生运行，并生成图表，展示用户指定基因组位置处脑表型之间的关联水平。独特的是，EnigmaVis具有动态性；用户可以实时与图表上的元素进行交互。在探索影响神经精神疾病和认知功能的特定基因变异对脑结构的影响时，该软件将很有用。联盟的未来项目以及EnigmaVis的更新也将在该网站上展示。EnigmaVis可在http://enigma.loni.ucla.edu/enigma-vis/免费在线获取。
