Scientific Publications

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

Publication TypeJournal Article
AuthorsGAIN 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, and Collins FS
AbstractThe 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 Publication2007
JournalNature genetics
Volume39
Issue9
Pages1045-51
Date Published (YYYY/MM/DD)2007/09/01
ISSN Number1061-4036
DOI10.1038/ng2127
PubMedhttp://www.ncbi.nlm.nih.gov/pubmed/17728769?dopt=Abstract