New models of collaboration in genome-wide association studies: the Genetic Association Information Network.
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.
National Human Genome Research Institute, US National Institutes of Health (NIH), 31 Center Drive, Bethesda, Maryland 20892, USA. manolio@nih.gov
Manolio
Teri A
TA
Rodriguez
Laura Lyman
LL
Brooks
Lisa
L
Abecasis
Gonçalo
G
Ballinger
Dennis
D
Daly
Mark
M
Donnelly
Peter
P
Faraone
Stephen V
SV
Frazer
Kelly
K
Gabriel
Stacey
S
Gejman
Pablo
P
Guttmacher
Alan
A
Harris
Emily L
EL
Insel
Thomas
T
Kelsoe
John R
JR
Lander
Eric
E
McCowin
Norma
N
Mailman
Matthew D
MD
Nabel
Elizabeth
E
Ostell
James
J
Pugh
Elizabeth
E
Sherry
Stephen
S
Sullivan
Patrick F
PF
Thompson
John F
JF
Warram
James
J
Wholley
David
D
Milos
Patrice M
PM
Collins
Francis S
FS
D001289:Attention Deficit Disorder with Hyperactivity / Q000235:genetics; D035843:Biomedical Research / Q000379:methods*; D001714:Bipolar Disorder / Q000235:genetics; D020022:Genetic Predisposition to Disease; D015894:Genome, Human / Q000235:genetics*; D006801:Humans; D007255:Information Services / Q000458:organization & administration*; D007391:International Cooperation; D017146:Models, Organizational; D011565:Psoriasis / Q000235:genetics