| Literature DB >> 17728769 |
Teri A Manolio, Laura Lyman Rodriguez, Lisa Brooks, Gonçalo Abecasis, Dennis Ballinger, Mark Daly, Peter Donnelly, Stephen V Faraone, Kelly Frazer, Stacey Gabriel, Pablo Gejman, Alan Guttmacher, Emily L Harris, Thomas Insel, John R Kelsoe, Eric Lander, Norma McCowin, Matthew D Mailman, Elizabeth Nabel, James Ostell, Elizabeth Pugh, Stephen Sherry, Patrick F Sullivan, John F Thompson, James Warram, David Wholley, Patrice M Milos, Francis S Collins.
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.Mesh：
Year: 2007 PMID： 17728769 DOI： 10.1038/ng2127
Source DB: PubMed Journal: Nat Genet ISSN： 1061-4036 Impact factor: 38.330