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

Nature Genetics volume 39, pages 1045–1051 (2007)Cite this article

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.

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Acknowledgements

The authors express their appreciation to P. de Bakker for providing estimates of genomic coverage for the GAIN genotyping platforms. The Broad Institute Center for Genotyping and Analysis is supported by grant U54 RR020278-01 (S. Gabriel, principal investigator) from the National Center for Research Resources.

The complete list of authors (the GAIN Collaborative Research Group) is as follows: Teri A Manolio1, Laura Lyman Rodriguez1, Lisa Brooks1, Gonçalo Abecasis2, the Collaborative Association Study of Psoriasis, Dennis Ballinger3, Mark Daly4, Peter Donnelly5, Stephen V Faraone6, the International Multi-Center ADHD Genetics Project, Kelly Frazer3,7, Stacey Gabriel4, Pablo Gejman8, the Molecular Genetics of Schizophrenia Collaboration, Alan Guttmacher1, Emily L Harris1, Thomas Insel9, John R Kelsoe10, the Bipolar Genome Study, Eric Lander4, Norma McCowin11, Matthew D Mailman12,13, Elizabeth Nabel14, James Ostell13, Elizabeth Pugh15, Stephen Sherry13, Patrick F Sullivan16, the Major Depression Stage 1 Genomewide Association in Population-Based Samples Study, John F Thompson17, James Warram18, the Genetics of Kidneys in Diabetes (GoKinD) Study, David Wholley11, Patrice M Milos19, Francis S Collins1

Author information

Authors and Affiliations

  1. National Human Genome Research Institute, US National Institutes of Health (NIH), 31 Center Drive, Bethesda, 20892, Maryland, USA

    Teri A Manolio, Laura Lyman Rodriguez, Lisa Brooks, Alan Guttmacher, Emily L Harris & Francis S Collins

  2. Department of Biostatistics, University of Michigan, 1420 Washington Heights, Ann Arbor, 48109, Michigan, USA

    Gonçalo Abecasis

  3. Perlegen Sciences, 2021 Stierlin Court, Mountain View, 94043, California, USA

    Dennis Ballinger & Kelly Frazer

  4. Broad Institute of MIT and Harvard, 7 Cambridge Center, Cambridge, 02142, Massachusetts, USA

    Mark Daly, Stacey Gabriel & Eric Lander

  5. University of Oxford, 1 South Parks Road, Oxford, OX1 3TG, UK

    Peter Donnelly

  6. State University of New York Upstate Medical University, 750 E. Adams Street, Syracuse, 13210, New York, USA

    Stephen V Faraone

  7. Scripps Research Institute, Genomic Medicine, 10550 North Torrey Pines Road, La Jolla, 92037, California, USA

    Kelly Frazer

  8. Evanston Northwestern Healthcare and Northwestern University, 1001 University Place, Evanston, 60201, Illinois, USA

    Pablo Gejman

  9. National Institute of Mental Health, NIH, 6001 Executive Drive, Bethesda, 20892, Maryland, USA

    Thomas Insel

  10. Departments of Psychiatry, University of California, San Diego and Veterans Administration San Diego Healthcare System, 9500 Gilman Drive, La Jolla, 92093, California, USA

    John R Kelsoe

  11. Foundation for the NIH, 45 Center Drive, Bethesda, 20892, Maryland, USA

    Norma McCowin & David Wholley

  12. Genomic Medicine, Eli Lilly and Company, Lilly Corporate Center, Indianapolis, 46285, Indiana, USA

    Matthew D Mailman

  13. National Library of Medicine, NIH, 45 Center Drive, Bethesda, 20892, Maryland, USA

    Matthew D Mailman, James Ostell & Stephen Sherry

  14. National Heart, Lung, and Blood Institute, NIH, 31 Center Drive, Bethesda, 20892, Maryland, USA

    Elizabeth Nabel

  15. Center for Inherited Disease Research, Johns Hopkins University, 333 Cassel Drive, Baltimore, 21224, Maryland, USA

    Elizabeth Pugh

  16. University of North Carolina at Chapel Hill, 103 Mason Farm Road, Chapel Hill, 27599, North Carolina, USA

    Patrick F Sullivan

  17. Pharmacogenomics, Pfizer Global Research and Development, Pfizer Inc., 1 Eastern Point Road, Groton, 06340, Connecticut, USA

    John F Thompson

  18. Joslin Diabetes Center, One Joslin Place, Boston, 02215, Massachusetts, USA

    James Warram

  19. Helicos BioSciences Corp., One Kendall Square, Cambridge, 02139, Massachusetts, USA

    Patrice M Milos

Consortia

The GAIN Collaborative Research Group

  • Teri A Manolio
  • , Laura Lyman Rodriguez
  • , Lisa Brooks
  • , Gonçalo Abecasis

  • the Collaborative Association Study of Psoriasis

    • Dennis Ballinger
    • , Mark Daly
    • , Peter Donnelly
    •  & Stephen V Faraone

  • the International Multi-Center ADHD Genetics Project

    • Kelly Frazer
    • , Stacey Gabriel
    •  & Pablo Gejman

  • the Molecular Genetics of Schizophrenia Collaboration

    • Alan Guttmacher
    • , Emily L Harris
    • , Thomas Insel
    •  & John R Kelsoe

  • the Bipolar Genome Study

    • Eric Lander
    • , Norma McCowin
    • , Matthew D Mailman
    • , Elizabeth Nabel
    • , James Ostell
    • , Elizabeth Pugh
    • , Stephen Sherry
    •  & Patrick F Sullivan

  • the Major Depression Stage 1 Genomewide Association in Population-Based Samples Study

    • John F Thompson
    •  & James Warram

  • the Genetics of Kidneys in Diabetes (GoKinD) Study

    • David Wholley
    • , Patrice M Milos
    •  & Francis S Collins

Corresponding author

Correspondence to Teri A Manolio.

Ethics declarations

Competing interests

D.B. is an employee of Perlegen Sciences, Inc. K.F. was an employee of Perlegen Sciences, Inc. within the last year. M.D.M. is an employee of Eli Lilly and Co. P.M.M. was an employee of Pfizer, Inc. within the past year, and is currently an employee of Helicos BioSciences Corp. J.F.T. is an employee of Pfizer, Inc.

Supplementary information

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Supplementary Table 1, Supplementary Note (PDF 27 kb)

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The GAIN Collaborative Research Group. New models of collaboration in genome-wide association studies: the Genetic Association Information Network. Nat Genet 39, 1045–1051 (2007). https://doi.org/10.1038/ng2127

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