Twin Research and Human Genetics

Articles

EnigmaVis: Online Interactive Visualization of Genome-Wide Association Studies of the Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA) Consortium

Nic M. Novaka1, Jason L. Steina1, Sarah E. Medlanda2, Derrek P. Hibara1, Paul M. Thompsona1 and Arthur W. Togaa1 c1

a1 Laboratory of Neuro Imaging, David Geffen School of Medicine, UCLA, Los Angeles, USA

a2 Quantitative Genetics, Queensland Institute of Medical Research, Brisbane, Australia

Abstract

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/

(Received February 01 2012)

(Accepted March 28 2012)

Keywords:

  • GWAS;
  • visualization;
  • neuroimaging;
  • genetics;
  • SNP

Correspondence:

c1 address for correspondence: Arthur W. Toga, 635 Charles Young Drive South, Suite 225, Los Angeles, CA 90095-7334, USA. E-mail: toga@loni.ucla.edu

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