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

Nat Genet

Authors	GAIN Collaborative Research Group Teri Manolio Laura Rodriguez Lisa Brooks Goncalo Abecasis Collaborative Association Study of Psoriasis Dennis Ballinger Mark Daly Peter Donnelly Stephen Faraone International Multi-Center ADHD Genetics Project Kelly Frazer Stacey Gabriel Pablo Gejman Molecular Genetics of Schizophrenia Collaboration Alan Guttmacher Emily Harris Thomas Insel John Kelsoe Bipolar Genome Study Eric Lander Norma McCowin Matthew Mailman Elizabeth Nabel James Ostell Elizabeth Pugh Stephen Sherry Patrick Sullivan Major Depression Stage 1 Genomewide Association in Population-Based Samples Study John Thompson James Warram Genetics of Kidneys in Diabetes (GoKinD) Study David Wholley Patrice Milos Francis Collins
Keywords	Humans Genetic Predisposition to Disease Biomedical Research Genome, Human International Cooperation Bipolar Disorder Attention Deficit Disorder with Hyperactivity Information Services Models, Organizational Psoriasis
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.
Year of Publication	2007
Journal	Nat Genet
Volume	39
Issue	9
Pages	1045-51
Date Published	2007 Sep
ISSN	1061-4036
URL
DOI	10.1038/ng2127
PubMed ID	17728769
Links
Grant list	U54RR020278-01 / RR / NCRR NIH HHS / United States