National Human Genome Research Institute, US National Institutes of Health (NIH), 31 Center Drive, Bethesda, Maryland 20892, USA. manolio@nih.gov
Authors
Abecasis G, Ballinger D, Bipolar Genome Study, Brooks L, Collaborative Association Study of Psoriasis, Collins FS, Daly M, Donnelly P, Faraone SV, Frazer K, Gabriel S, GAIN Collaborative Research Group, Gejman P, Genetics of Kidneys in Diabetes (GoKinD) Study, Guttmacher A, Harris EL, Insel T, International Multi-Center ADHD Genetics Project, Kelsoe JR, Lander E, Mailman MD, Major Depression Stage 1 Genomewide Association in Population-Based Samples Study, Manolio TA, McCowin N, Milos PM, Molecular Genetics of Schizophrenia Collaboration, Nabel E, Ostell J, Pugh E, Rodriguez LL, Sherry S, Sullivan PF, Thompson JF, Warram J, Wholley D
GAIN Collaborative Research Group, Manolio TA, Rodriguez LL, Brooks L, Abecasis G, Collaborative Association Study of Psoriasis, Ballinger D, Daly M, Donnelly P, Faraone SV, International Multi-Center ADHD Genetics Project, Frazer K, Gabriel S, Gejman P, Molecular Genetics of Schizophrenia Collaboration, Guttmacher A, Harris EL, Insel T, Kelsoe JR, Bipolar Genome Study, 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 Study, Thompson JF, Warram J, Genetics of Kidneys in Diabetes (GoKinD) Study, Wholley D, Milos PM, Collins FS. New models of collaboration in genome-wide association studies: the Genetic Association Information Network. Nat Genet 2007 Sep;39(9):1045-51.
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.