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

Authors :
Manolio, Teri A.
Rodriguez, Laura Lyman
Brooks, Lisa
Abecasis, Gonçalo
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
Source :
Nature Genetics; Sep2007, Vol. 39 Issue 9, p1045-1051, 7p, 1 Diagram, 1 Chart
Publication Year :
2007

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10614036
Volume :
39
Issue :
9
Database :
Complementary Index
Journal :
Nature Genetics
Publication Type :
Academic Journal
Accession number :
26382922
Full Text :
https://doi.org/10.1038/ng2127