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Life After Linkage: The Future of Family Studies (R01)

Post Date

April 8th 2011

Application Due Date

June 15th 2011

Funding Opportunity Number

RFA-HL-12-007

CFDA Number(s)

93.172
93.233
93.837
93.838
93.839

Funding Instrument Type(s)

Grant

Funding Activity Categories

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); Regional Organizations; Tribally Controlled Colleges and Universities (TCCUs) ; U.S. Territory or Possession; Non-domestic (non-U.S.) Entities (Foreign Organizations) are not eligible to apply. Foreign (non-U.S.) components of U.S. Organizations are not allowed.

Funding

  • Award Range:

    $None - $350000

Grant Description

This FOA issued by NHLBI and NHGRI solicits applications which integrate novel molecular data with existing genotype and phenotype data in families to identify and characterize genes influencing complex disorders. Applications for this program should have previously examined families with some genotyping and phenotypes available. Proposals may utilize focused ascertainment from families, for example, using risk profile, extreme phenotypes or families contributing heavily to genomic signals. The program may support the addition of targeted or whole genome sequencing, exon sequencing, copy number variants (CNVs), expression profiling, metabolomics, epigenomics, and/or novel biomarkers. This may require additional sample collection and/or reconsent. Applications should include a strong analytic component focused on bioinformatics and integration of multiple data types.

Contact Information


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