1. The Glioma International Case-Control Study: A Report From the Genetic Epidemiology of Glioma International Consortium
- Author
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Amirian, E Susan, Armstrong, Georgina N, Zhou, Renke, Lau, Ching C, Claus, Elizabeth B, Barnholtz-Sloan, Jill S, Il'yasova, Dora, Schildkraut, Joellen, Ali-Osman, Francis, Sadetzki, Siegal, Johansen, Christoffer, Houlston, Richard S, Jenkins, Robert B, Lachance, Daniel, Olson, Sara H, Bernstein, Jonine L, Merrell, Ryan T, Wrensch, Margaret R, Davis, Faith G, Lai, Rose, Shete, Sanjay, Amos, Christopher I, Scheurer, Michael E, Aldape, Kenneth, Alafuzoff, Irina, Brännström, Thomas, Broholm, Helle, Collins, Peter, Giannini, Caterina, Rosenblum, Marc, Tihan, Tarik, Melin, Beatrice S, and Bondy, Melissa L
- Subjects
Epidemiology ,Health Sciences ,Brain Disorders ,Rare Diseases ,Human Genome ,Clinical Research ,Brain Cancer ,Neurosciences ,Genetics ,Cancer ,Adolescent ,Adult ,Aged ,Aged ,80 and over ,Case-Control Studies ,Female ,Gene-Environment Interaction ,Genetic Predisposition to Disease ,Glioma ,Humans ,Incidence ,International Cooperation ,Male ,Middle Aged ,Molecular Epidemiology ,Retrospective Studies ,Risk Factors ,Young Adult ,cancer ,case-control studies ,glioblastoma ,glioma ,methodology ,study profile ,Mathematical Sciences ,Medical and Health Sciences - Abstract
Decades of research have established only a few etiological factors for glioma, which is a rare and highly fatal brain cancer. Common methodological challenges among glioma studies include small sample sizes, heterogeneity of tumor subtypes, and retrospective exposure assessment. Here, we briefly describe the Glioma International Case-Control (GICC) Study (recruitment, 2010-2013), a study being conducted by the Genetic Epidemiology of Glioma International Consortium that integrates data from multiple data collection sites, uses a common protocol and questionnaire, and includes biospecimen collection. To our knowledge, the GICC Study is the largest glioma study to date that includes collection of blood samples, which will allow for genetic analysis and interrogation of gene-environment interactions.
- Published
- 2016