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Methods and Approaches for Detection of Gene-Environment Interactions in Human Disease (R21)

Post Date

November 12th 2010

Application Due Date

February 3rd 2011

Funding Opportunity Number

PAR-11-032

CFDA Number(s)

93.113

Funding Instrument Type(s)

Grant

Funding Activity Categories

Environment
Health

Eligibility Categories

State Governments
County Governments
City or Township Governments
Special District Governments
Independent School Districts
Public and State Controlled Institutions of Higher Education
Federally Recognized Native American Tribal Governments
Public Housing Authorities or Indian Housing Authorities
Non-Federally Recognized Native American Tribal Organizations
Non-Profits With 501 (c) (3) Status With The IRS (Except Higher Education Institutions)
Non-Profits Without 501 (c) (3) Status With The IRS (Except Higher Education Institutions)
Private Institutions of Higher Education
For-Profit Organizations (Except Small Businesses)
Small Businesses
Other

Other Eligible Applicants include the following: Alaska Native and Native Hawaiian Serving Institutions; Eligible Agencies of the Federal Government; Faith-based or Community-based Organizations; Hispanic-serving Institutions; Historically Black Colleges and Universities (HBCUs); Indian/Native American Tribal Governments (Other than Federally Recognized); Non-domestic (non-U.S.) Entities (Foreign Organizations); Regional Organizations; Tribally Controlled Colleges and Universities (TCCUs) ; U.S. Territory or Possession.

Funding

  • Award Range:

    $None - $275000

Grant Description

This FOA issued by NIEHS, National Institutes of Health, encourages grant applications from institutions/organizations to develop and test innovative statistical and bioinformatics methods and analytical strategies and study designs for identifying gene-environment interactions for complex human diseases. The objectives of this FOA are to further advance the understanding of gene-environment interplay in complex human disease by 1) the development and validation of algorithms and new statistical and computational approaches and study designs and/or 2) the development and application of bioinformatics software for gene-environment analysis of existing human populations.

Contact Information


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