New models of collaboration in genome-wide association studies: the Genetic Association Information Network.
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- 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; Sullivan, Patrick F; Major Depression Stage 1 Genomewide Association in Population-Based Samples Study; Thompson, John F; Warram, James; Genetics of Kidneys in Diabetes (GoKinD) Study; Wholley, David; Milos, Patrice M; Collins, Francis S
- Year
- 2007
- Journal
- Nature genetics
- PMID
- 17728769
- DOI
- 10.1038/ng2127
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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