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TY - JOUR AU - Manolio, Teri A AU - Rodriguez, Laura Lyman AU - Brooks, Lisa AU - Abecasis, Gonçalo AU - Ballinger, Dennis AU - Daly, Mark AU - Donnelly, Peter AU - Faraone, Stephen V AU - Frazer, Kelly AU - Gabriel, Stacey AU - Gejman, Pablo AU - Guttmacher, Alan AU - Harris, Emily L AU - Insel, Thomas AU - Kelsoe, John R AU - Lander, Eric AU - McCowin, Norma AU - Mailman, Matthew D AU - Nabel, Elizabeth AU - Ostell, James AU - Pugh, Elizabeth AU - Sherry, Stephen AU - Sullivan, Patrick F AU - Thompson, John F AU - Warram, James AU - Wholley, David AU - Milos, Patrice M AU - Collins, Francis S AU - The GAIN Collaborative Research Group AU - the Collaborative Association Study of Psoriasis AU - the International Multi-Center ADHD Genetics Project AU - the Molecular Genetics of Schizophrenia Collaboration AU - the Bipolar Genome Study AU - the Major Depression Stage 1 Genomewide Association in Population-Based Samples Study AU - the Genetics of Kidneys in Diabetes (GoKinD) Study PY - 2007 DA - 2007/09/01 TI - New models of collaboration in genome-wide association studies: the Genetic Association Information Network JO - Nature Genetics SP - 1045 EP - 1051 VL - 39 IS - 9 AB - 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. SN - 1546-1718 UR - https://doi.org/10.1038/ng2127 DO - 10.1038/ng2127 ID - Manolio2007 ER -