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Nature genetics DOI:10.1038/ng2127

New models of collaboration in genome-wide association studies: the Genetic Association Information Network.

Publication TypeJournal Article
Year of Publication2007
AuthorsGAIN Collaborative Research, G, Manolio, TA, Rodriguez, LL, Brooks, L, Abecasis, G, Collaborative Association Study of, P, Ballinger, D, Daly, M, Donnelly, P, Faraone, SV, International Multi-Center ADHD Genetics, P, Frazer, K, Gabriel, S, Gejman, P, Molecular Genetics of Schizophrenia, C, Guttmacher, A, Harris, EL, Insel, T, Kelsoe, JR, Bipolar Genome, S, Lander, E, McCowin, N, Mailman, MD, Nabel, E, Ostell, J, Pugh, E, Sherry, S, Sullivan, PF, Major Depression Stage 1 Genomewide Association in Population-Based Samples, S, Thompson, JF, Warram, J, Genetics of Kidneys in Diabetes (GoKinD), S, Wholley, D, Milos, PM, Collins, FS
JournalNature genetics
Date Published2007/09/01

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.