Opportunity Information: Apply for RFA HG 09 002
Apply for RFA HG 09 002
- The National Institutes of Health in the health sector is offering a public funding opportunity titled "1000 Genomes Project Dataset Analysis (U01)" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.172 Human Genome Research.
- This funding opportunity was created on Dec 4, 2008 and posted on Dec 4, 2008.
- Applicants must submit their applications by Jun 26, 2009. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- The funding agency has allocated a total of $4,000,000.00 to eligible and selected applicants.
- Each selected applicant is eligible to receive up to $300,000.00 in funding.
- Eligible applicants include: Others (see text field entitled Additional Information on Eligibility for clarification) Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education Special district governments Public and State controlled institutions of higher education Private institutions of higher education Native American tribal organizations (other than Federally recognized tribal governments) For profit organizations other than small businesses County governments City or township governments Small businesses State governments Native American tribal governments (Federally recognized).
- Other Eligible Applicants include the following Alaska Native and Native Hawaiian Serving Institutions Eligible Agencies of the Federal Government 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 Foreign institutions are not eligible for awards under this program, as primary awardees or under subcontracts.
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Opportunity Summary:
The 1000 Genomes Project Dataset Analysis (U01) funding opportunity (RFA-HG-09-002) is a National Institutes of Health program, led through the National Human Genome Research Institute, aimed at supporting research teams that will analyze and add value to the emerging dataset from the international 1000 Genomes Project. The underlying project is building a high-resolution map of human genetic variation to strengthen genome-wide association studies and other research on human disease and biology. The core data source is low-coverage ("light") whole-genome sequencing from roughly 1,200 to 1,500 anonymized individuals, a design intended to capture most DNA sequence variants that occur at about 1 percent frequency or higher in human populations. Multiple large-scale sequencing centers are generating the data, including several NHGRI-funded centers, with pilot work used to validate sequencing platforms and inform the final production strategy. The full-scale effort was expected to ramp up around the end of 2008, run for about two years, and generate on the order of 20 terabases of sequence.
This FOA focuses on what happens after those data start flowing: it solicits proposals to systematically characterize and interpret the full dataset as it is released, and to create methods and resources that make the dataset more useful to the broader community. Applicants are encouraged to work on analyses such as allele frequency distributions across populations, patterns of linkage disequilibrium, and genomic signals consistent with natural selection. In addition to straightforward characterization, the announcement explicitly welcomes projects that produce additional derived data types from the released sequence, improve variant discovery and genotyping outputs (including both SNPs and structural variants), and assess or critique the strategies used to generate the dataset. A major emphasis is also tool building: developing computational methods, pipelines, statistical approaches, and practical software that enable researchers to manage, analyze, and apply 1000 Genomes data, including in downstream contexts like genome-wide association studies. The overall intent is to move beyond raw and basic derived releases by funding groups that can turn the dataset into a more powerful, interpretable, and reusable resource for human genetics.
The award mechanism is a U01 cooperative agreement, which typically means NIH expects substantial programmatic involvement and coordination with awardees compared to a standard investigator-initiated grant. The opportunity is categorized as discretionary funding using the cooperative agreement instrument, within the health activity area, and tied to CFDA 93.172 (Human Genome Research). The estimated total funding available was about $4,000,000, with an award ceiling listed at $300,000. There was no cost sharing or matching requirement.
Eligibility is broad across U.S.-based organizations and government entities, including public and private institutions of higher education, nonprofit organizations (including those with and without 501(c)(3) status, other than universities), for-profit organizations (other than small businesses) as well as small businesses, and various levels of government (state, county, city/township, special district). It also includes tribal governments and tribal organizations, and explicitly calls out Alaska Native and Native Hawaiian Serving Institutions, Hispanic Serving Institutions, Historically Black Colleges and Universities, Tribally Controlled Colleges and Universities, regional organizations, eligible federal agencies, and U.S. territories or possessions. A key restriction is that foreign institutions are not eligible, either as primary awardees or as subcontractors under this program.
Key administrative details include the posting and creation date of December 4, 2008, and an application closing date of June 26, 2009 (with the same date listed as both original and current closing). The announcement was archived on July 27, 2009. The full FOA text and requirements were hosted through the NIH grants guide at http://grants.nih.gov/grants/guide/rfa-files/RFA-HG-09-002.html, and the NIH Office of Extramural Research webmaster contact was provided for access or linking issues (FBOWebmaster@OD.NIH.GOV).
FAQs: 1000 Genomes Project Dataset Analysis (U01) - RFA-HG-09-002
What is the funding opportunity called?
The opportunity is titled 1000 Genomes Project Dataset Analysis (U01) and is identified as RFA-HG-09-002.
Which federal agency and institute are sponsoring this program?
This is a National Institutes of Health (NIH) program, led through the National Human Genome Research Institute (NHGRI).
What is the overall purpose of this FOA?
The FOA aims to support research teams that will analyze and add value to the emerging dataset from the international 1000 Genomes Project. The emphasis is on systematic characterization and interpretation of the dataset as it is released, plus creating methods and resources that make the dataset more useful to the broader research community.
What is the 1000 Genomes Project trying to produce?
The underlying 1000 Genomes Project is building a high-resolution map of human genetic variation intended to strengthen genome-wide association studies and other research on human disease and biology.
What kind of data does the project generate?
The core data source described is low-coverage ("light") whole-genome sequencing from approximately 1,200 to 1,500 anonymized individuals.
Why does the project use low-coverage whole-genome sequencing?
The design is intended to capture most DNA sequence variants that occur at about 1 percent frequency or higher in human populations.
How large is the expected dataset?
The full-scale effort was expected to generate on the order of 20 terabases of sequence.
Who is generating the sequencing data for the 1000 Genomes Project?
Multiple large-scale sequencing centers are generating the data, including several NHGRI-funded centers. Pilot work was used to validate sequencing platforms and inform the final production strategy.
What does this FOA focus on, compared to the underlying sequencing project?
This FOA focuses on what happens after the data start flowing: analyzing, interpreting, and improving the utility of the dataset as it is released, rather than producing the raw sequence data itself.
What types of analyses are encouraged?
The FOA encourages analyses including (but not limited to):
- Allele frequency distributions across populations
- Patterns of linkage disequilibrium
- Genomic signals consistent with natural selection
Does the FOA support creation of derived datasets or value-added data products?
Yes. The announcement explicitly welcomes projects that produce additional derived data types from the released sequence and that move the resource beyond basic releases.
Does the FOA include work on variant discovery and genotyping quality?
Yes. It welcomes efforts to improve variant discovery and genotyping outputs, including both SNPs and structural variants.
Can applicants propose to assess or critique the dataset generation strategies?
Yes. The FOA explicitly allows projects that assess or critique the strategies used to generate the dataset.
Is tool building part of the program?
Yes. A major emphasis is developing computational methods, pipelines, statistical approaches, and practical software to enable researchers to manage, analyze, and apply 1000 Genomes data, including in downstream contexts like genome-wide association studies.
What is the award mechanism?
The award mechanism is a U01 cooperative agreement.
What does it mean that this is a cooperative agreement (U01)?
As described, a U01 cooperative agreement typically indicates NIH expects substantial programmatic involvement and coordination with awardees compared to a standard investigator-initiated grant.
What is the CFDA number associated with this opportunity?
The opportunity is tied to CFDA 93.172 (Human Genome Research).
How much total funding was estimated to be available?
The estimated total funding available was about $4,000,000.
Is there an award ceiling?
Yes. The award ceiling listed was $300,000.
Is cost sharing or matching required?
No. The FOA stated there was no cost sharing or matching requirement.
Who is eligible to apply?
Eligibility is broad across U.S.-based organizations and government entities, including:
- Public and private institutions of higher education
- Nonprofit organizations (including those with and without 501(c)(3) status, other than universities)
- For-profit organizations (including small businesses and other than small businesses)
- State, county, city/township, and special district governments
- Tribal governments and tribal organizations
- U.S. territories or possessions
- Eligible federal agencies
- Regional organizations
- Alaska Native and Native Hawaiian Serving Institutions
- Hispanic Serving Institutions
- Historically Black Colleges and Universities (HBCUs)
- Tribally Controlled Colleges and Universities (TCCUs)
Are foreign institutions eligible to apply?
No. Foreign institutions are not eligible, either as primary awardees or as subcontractors under this program.
Can a U.S. applicant include a foreign subcontractor or collaborator?
Based on the stated restriction, foreign institutions are not eligible as subcontractors under this program.
When was the opportunity posted?
The posting and creation date listed is December 4, 2008.
What was the application deadline?
The application closing date listed is June 26, 2009 (the same date is shown as both the original and current closing date).
Is this opportunity still open?
No. The announcement was archived on July 27, 2009.
Where can applicants find the full FOA details?
The full FOA text and requirements were hosted in the NIH grants guide at: http://grants.nih.gov/grants/guide/rfa-files/RFA-HG-09-002.html
Who should be contacted for access or linking issues related to the FOA?
The NIH Office of Extramural Research webmaster contact provided for access or linking issues is FBOWebmaster@OD.NIH.GOV.
What is the main expected benefit of the funded work?
The intent is to fund groups that can turn the 1000 Genomes dataset into a more powerful, interpretable, and reusable resource for human genetics by going beyond raw data releases and basic derived outputs.
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