EnigmaVis: Online Interactive Visualization of Genome-Wide Association Studies of the Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA) Consortium
Year: 2012
Type: article
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/
Source: Twin Research and Human Genetics
DOI: 10.1017/thg.2012.17
Language: English
Subfield: Genetics
Domain: Life Sciences
Open Access status: bronze
Funders: National Science Foundation, National Institutes of Health, Australian Research Council, National Institute on Aging, National Institute of Mental Health, National Institute of Biomedical Imaging and Bioengineering, National Center for Research Resources, Eunice Kennedy Shriver National Institute of Child Health and Human Development
Awards: G104586243, G1723377432, Alzheimer's Disease Neuroimaging Initiative, G2022000225, Genetic influences on the brain: A twin imaging study, Computational Anatomy and Multidimensional Modeling, Elucidating the genetics of attention deficit hyperactivity disorder by integrating pathway and prediction analyses, HARDI Mapping of Disease Effects on the Brain, Alzheimer's disease risk analyzed using population imaging genomics, G4931376218, Empowering Personalized Medicine: Integrating Imaging, Genetics, and Biomarkers, A Multidimensional Alzheimer's Disease Brain Atlas, G561273952, G6957926738, G7504492366, Amyloid Imaging, VMCI, and Analysis for ADNI, GRADUATE RESEARCH FELLOWSHIP PROGRAM, G8169342994, Laboratory of Neuro Imaging Resource (LONIR), G8301434335, G9000039018, G9000054621, G9000122335
OpenAlex ID: W2129930645