Opportunity Information: Apply for RFA CA 09 002
Apply for RFA CA 09 002
- The National Institutes of Health in the education health sector is offering a public funding opportunity titled "Transdisciplinary Cancer Genomics Research Post Genome Wide Association (Post GWA) Initiative (U19)" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.393 Cancer Cause and Prevention Research 93.394 Cancer Detection and Diagnosis Research 93.396 Cancer Biology Research.
- This funding opportunity was created on Jan 12, 2009 and posted on Jan 12, 2009.
- Applicants must submit their applications by May 29, 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 $24,000,000.00 to eligible and selected applicants.
- Each selected applicant is eligible to receive up to $3,000,000.00 in funding.
- Eligible applicants include: Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education Public and State controlled institutions of higher education State governments Private institutions of higher education Small businesses Others (see text field entitled Additional Information on Eligibility for clarification) For profit organizations other than small businesses City or township governments County governments.
- Other Eligible Applicants include the following Eligible Agencies of the Federal Government U.S. Territory or Possession.
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Opportunity Summary:
The Transdisciplinary Cancer Genomics Research Post Genome Wide Association (Post GWA) Initiative (U19) is a National Cancer Institute (NCI) cooperative agreement funding opportunity designed to push cancer susceptibility research beyond initial genome wide association study (GWAS) signals and into the more difficult but clinically meaningful work that comes afterward. The main aim is to improve how thoroughly and efficiently researchers can identify and validate genomic regions tied to cancer risk by leveraging existing cancer GWAS datasets, especially the already-generated "initial scan" data, and then accelerating coordinated post-GWAS discovery. In practice, this means moving from early statistical associations to stronger evidence through replication, expanded analyses, and integrated follow-up that clarifies which variants matter, in whom, and why.
The FOA specifically requires a transdisciplinary structure built around a single unifying research theme, with each application containing two to three tightly connected subprojects. At least one subproject must focus on replication or expansion of prior GWAS findings, ensuring that reported associations are confirmed, refined, or extended to additional populations, datasets, or analytic strategies. At least one subproject must be explicitly epidemiologic, emphasizing population-level study design, risk factor characterization, gene-environment considerations, and the real-world context in which genetic susceptibility operates. A third subproject is optional but strongly encouraged and would typically involve biological and/or mechanistic work that helps connect the epidemiologic and statistical findings to functional evidence, such as experiments or analyses that suggest how a locus might influence cancer biology.
A central expectation is multi-center collaboration that brings together both epidemiologists and basic scientists, reflecting the reality that post-GWAS progress usually depends on combining large, well-characterized human datasets with laboratory or mechanistic approaches. The long-term goal is not simply to publish additional association results, but to build a rigorous knowledge base that supports eventual clinical translation and public health dissemination, such as improved risk prediction, better understanding of carcinogenic pathways, and identification of targets for prevention or early detection. The cooperative agreement (U19) mechanism also signals a more involved partnership with NIH compared with a standard grant, generally implying substantial programmatic coordination and interaction to keep complex, multi-component projects aligned with the initiative's objectives.
Administratively, this opportunity is identified as Funding Opportunity Number RFA-CA-09-002 and was posted January 12, 2009, with an original and final application deadline of May 29, 2009, and an archive date of June 29, 2009. The estimated total funding level was $24,000,000, with an award ceiling of $3,000,000. It falls under NIH CFDA program areas covering cancer cause and prevention research (93.393), cancer detection and diagnosis research (93.394), and cancer biology research (93.396). No cost sharing or matching was required.
Eligibility was broad and included public and private institutions of higher education, state governments, local governments (city/township and county), small businesses, nonprofit organizations with or without 501(c)(3) status, for-profit organizations other than small businesses, and certain other eligible entities noted in the announcement, including eligible federal agencies and U.S. territories or possessions. The sponsoring agency is the National Institutes of Health, through NCI, and the announcement provided an additional information link through the NIH Grants Guide (http://grants.nih.gov/grants/guide/rfa-files/RFA-CA-09-002.html) along with contact points for technical access issues via the NIH Office of Extramural Research webmaster email.
Frequently Asked Questions (FAQs)
What is the Transdisciplinary Cancer Genomics Research Post GWAS Initiative (U19)?
It is a National Cancer Institute (NCI) cooperative agreement funding opportunity intended to move cancer susceptibility research beyond initial genome-wide association study (GWAS) signals and into coordinated post-GWAS work. The initiative emphasizes identifying and validating genomic regions tied to cancer risk using existing cancer GWAS datasets, including already-generated initial scan data, and accelerating follow-up discovery.
What is the main purpose of this funding opportunity?
The main purpose is to improve how thoroughly and efficiently researchers can identify, confirm, refine, and validate genomic regions associated with cancer risk by leveraging existing GWAS datasets and conducting coordinated post-GWAS discovery. This includes progressing from early statistical associations to stronger evidence via replication, expanded analyses, and integrated follow-up that clarifies which variants matter, in whom, and why.
What does "post-GWAS" mean in the context of this FOA?
In this context, post-GWAS refers to the work that follows initial GWAS association signals, such as replication of findings, expansion into additional datasets or populations, deeper analyses, and follow-up studies that build stronger evidence and help interpret which variants are relevant and how they relate to cancer risk.
What is the funding mechanism used for this opportunity?
The opportunity uses the NIH U19 cooperative agreement mechanism. This typically implies a more involved partnership with NIH compared to a standard research grant, with substantial programmatic coordination and interaction to keep multi-component projects aligned with the initiative's objectives.
What is the Funding Opportunity Number for this announcement?
The Funding Opportunity Number is RFA-CA-09-002.
Who is the sponsoring agency?
The sponsoring agency is the National Institutes of Health (NIH), through the National Cancer Institute (NCI).
When was this funding opportunity posted?
It was posted on January 12, 2009.
What were the application deadlines?
The original and final application deadline was May 29, 2009.
Is this opportunity still active?
No. The archive date was June 29, 2009, indicating the announcement has been archived.
How much funding was available in total?
The estimated total funding level was $24,000,000.
What was the maximum award amount per project?
The award ceiling was $3,000,000.
Was cost sharing or matching required?
No cost sharing or matching was required.
What are the required structural elements of an application?
Applications were required to have a transdisciplinary structure organized around a single unifying research theme and contain two to three tightly connected subprojects.
How many subprojects are required, and is a third subproject allowed?
Each application must include two to three subprojects. A third subproject is optional but strongly encouraged.
Is replication of prior GWAS findings required?
Yes. At least one subproject must focus on replication or expansion of prior GWAS findings, with the goal of confirming, refining, or extending reported associations to additional populations, datasets, or analytic strategies.
Is an epidemiologic component required?
Yes. At least one subproject must be explicitly epidemiologic, emphasizing population-level study design, risk factor characterization, gene-environment considerations, and the real-world context in which genetic susceptibility operates.
What is the role of a third (optional) subproject?
The third subproject, while optional, is strongly encouraged and would typically involve biological and/or mechanistic work that connects epidemiologic and statistical findings to functional evidence, such as experiments or analyses suggesting how a locus might influence cancer biology.
Does the FOA require collaboration across multiple centers?
Yes. A central expectation is multi-center collaboration that brings together both epidemiologists and basic scientists, reflecting the need to combine large, well-characterized human datasets with laboratory or mechanistic approaches for post-GWAS progress.
What types of data does the initiative expect applicants to leverage?
The initiative emphasizes leveraging existing cancer GWAS datasets, especially already-generated initial scan data, to accelerate coordinated post-GWAS discovery.
What kinds of research outcomes are emphasized beyond publishing association results?
The long-term goal is to build a rigorous knowledge base that supports eventual clinical translation and public health dissemination, such as improved risk prediction, better understanding of carcinogenic pathways, and identification of targets for prevention or early detection.
What NIH program areas (CFDA numbers) does this opportunity fall under?
The opportunity falls under NIH CFDA program areas 93.393 (cancer cause and prevention research), 93.394 (cancer detection and diagnosis research), and 93.396 (cancer biology research).
What types of organizations were eligible to apply?
Eligibility included public and private institutions of higher education, state governments, local governments (city/township and county), small businesses, nonprofit organizations with or without 501(c)(3) status, for-profit organizations other than small businesses, and certain other eligible entities noted in the announcement, including eligible federal agencies and U.S. territories or possessions.
Were for-profit organizations eligible?
Yes. For-profit organizations other than small businesses were eligible, and small businesses were also explicitly eligible.
Were nonprofits required to have 501(c)(3) status to be eligible?
No. Nonprofit organizations were eligible with or without 501(c)(3) status.
Were government entities eligible to apply?
Yes. Eligibility included state governments and local governments (including city/township and county).
Were U.S. territories or possessions eligible?
Yes. The eligibility listing included U.S. territories or possessions.
Where can applicants find the original announcement details?
The announcement provided an NIH Grants Guide link: http://grants.nih.gov/grants/guide/rfa-files/RFA-CA-09-002.html
Where were applicants directed for technical access issues?
The announcement referenced contact points for technical access issues via the NIH Office of Extramural Research webmaster email.
What does it mean that the projects must be "tightly connected" under a unifying theme?
Based on the FOA description, the expectation is that the two to three subprojects are designed to work together under a single research theme, with coordinated post-GWAS efforts that connect replication/expansion work and epidemiologic analysis, and (if included) biological/mechanistic follow-up.
What is the intended progression of evidence encouraged by this initiative?
The initiative encourages progression from initial GWAS statistical associations to stronger evidence through replication, expanded analyses, and integrated follow-up that helps determine which variants are important, in which populations, and for what reasons.
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