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

作者：Manolio Teri A^*; Rodriguez Laura Lyman; Brooks Lisa; Abecasis Goncalo; Ballinger Dennis; Daly Mark; Donnelly Peter; Faraone Stephen V; Frazer Kelly; Gabriel Stacey; Gejman Pablo; Guttmacher Alan; Harris Emily L; Insel Thomas; Kelsoe John R; Lander Eric; McCowin Norma; Mailman Matthew D; Nabel Elizabeth; Ostell James; Pugh Elizabeth; Sherry Stephen; Sullivan Patrick F; Thompson John F; Warram James; Study GoKinD; Wholley David; Milos Patrice M

来源：Nature Genetics, 2007, 39(9): 1045-1051.

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.

• 出版日期2007-9
• 单位西北大学