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New models of collaboration in genome-wide association studies: the Genetic Association Information Network
Authors:GAIN Collaborative Research Group  Manolio Teri A  Rodriguez Laura Lyman  Brooks Lisa  Abecasis Gonçalo;Collaborative Association Study of Psoriasis  Ballinger Dennis  Daly Mark  Donnelly Peter  Faraone Stephen V;International Multi-Center ADHD Genetics Project  Frazer Kelly  Gabriel Stacey  Gejman Pablo;Molecular Genetics of Schizophrenia Collaboration  Guttmacher Alan  Harris Emily L  Insel Thomas  Kelsoe John R;Bipolar Genome Study  Lander Eric  McCowin Norma  Mailman Matthew D  Nabel Elizabeth  Ostell James  Pugh Elizabeth  Sherry Stephen
Institution:National Human Genome Research Institute, US National Institutes of Health (NIH), 31 Center Drive, Bethesda, Maryland 20892, USA. manolio@nih.gov
Abstract:The Genetic Association Information Network (GAIN) is a public-private partnership established to investigate the genetic basis of common diseases through a series of collaborative genome-wide association studies. GAIN has used new approaches for project selection, data deposition and distribution, collaborative analysis, publication and protection from premature intellectual property claims. These demonstrate a new commitment to shared scientific knowledge that should facilitate rapid advances in understanding the genetics of complex diseases.
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