Opportunity Information: Apply for RFA RM 09 006
Apply for RFA RM 09 006
- The National Institutes of Health in the health sector is offering a public funding opportunity titled "Novel statistical methods for human gene expression quantitative trait loci (eQTL) analysis (R01)" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.310 Trans NIH Research Support.
- This funding opportunity was created on Apr 1, 2009 and posted on Apr 1, 2009.
- Applicants must submit their applications by Sep 16, 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 $1,000,000.00 to eligible and selected applicants.
- Each selected applicant is eligible to receive up to $300,000.00 in funding.
- Eligible applicants include: Small businesses Private institutions of higher education Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education Others (see text field entitled Additional Information on Eligibility for clarification) Public and State controlled institutions of higher education For profit organizations other than small businesses Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education.
- 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) Non domestic (non U.S.) Entities (Foreign Organizations) Tribally Controlled Colleges and Universities (TCCUs) .
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Opportunity Summary:
This funding opportunity, titled "Novel statistical methods for human gene expression quantitative trait loci (eQTL) analysis (R01)" (Funding Opportunity Number RFA-RM-09-006), is a National Institutes of Health (NIH) discretionary grant solicitation aimed at advancing the statistical toolbox needed to study how genetic variation influences gene expression in humans. The core scientific focus is eQTL analysis, meaning methods that can identify associations between genetic variants (such as SNPs) and differences in gene expression levels, with a strong emphasis on how these effects can vary by tissue type. The intent is not simply to apply existing approaches, but to create genuinely new or substantially improved statistical methods that can handle the scale, complexity, and biological structure of emerging datasets.
A central motivation for the call is the NIH Roadmap initiative known as the Genotype-Tissue Expression (GTEx) Project. GTEx was designed to generate large, multi-tissue datasets that link genotype information to gene expression and regulatory readouts across many human tissues. Because GTEx data involve multiple tissues per donor, complicated sources of correlation, high-dimensional measurements, and practical issues like variable sample sizes across tissues, standard eQTL workflows can fall short. This FOA therefore targets method development that anticipates and addresses those challenges, so investigators can properly analyze GTEx-style datasets rather than forcing them into oversimplified models.
Applicants are encouraged to use existing tissue-specific gene expression datasets and/or simulated data during method development, which is important for prototyping, benchmarking, and demonstrating performance when GTEx data are limited or not yet fully available. At the same time, applicants are strongly encouraged to incorporate GTEx-generated data if and when those data become available, reflecting the program's priority: methods that will be directly useful for the community as GTEx resources expand. In practice, this implies a premium on approaches that are scalable, robust, and able to generalize across tissues and study designs, with careful attention to inference and reproducibility.
The mechanism is an NIH R01 research project grant, under the Health funding activity category (CFDA 93.310, Trans-NIH Research Support). The opportunity does not require cost sharing or matching, which reduces barriers for academic and nonprofit applicants and keeps the emphasis on scientific merit and feasibility. The estimated total funding level listed is $1,000,000, with an award ceiling of $300,000, indicating that multiple awards were likely anticipated and that budgets were expected to be moderate and method-development oriented rather than large-scale data generation.
Eligibility is broad and includes small businesses, for-profit organizations (other than small businesses), private and public institutions of higher education, and nonprofit organizations both with and without 501(c)(3) status. The eligibility language also explicitly includes a range of mission-driven institutions and organizations, such as Historically Black Colleges and Universities (HBCUs), Hispanic Serving Institutions, Tribally Controlled Colleges and Universities (TCCUs), Alaska Native and Native Hawaiian Serving Institutions, and even non-U.S. (foreign) entities, as well as eligible federal agencies. This broad eligibility reflects the computational and statistical nature of the work, where expertise may reside across many institution types and geographic regions.
Key administrative details place the FOA in 2009: it was posted and created on April 1, 2009, with an original and current closing date of September 16, 2009, and an archive date of October 17, 2009. While the opportunity is now archived, the summary still captures a programmatic snapshot of NIH priorities at the time: preparing the field for the analytical demands of multi-tissue human genomics by funding innovative statistical methodology tightly aligned with GTEx.
For full details, NIH provided the official announcement link (http://grants.nih.gov/grants/guide/rfa-files/RFA-RM-09-006.html). For access or technical issues with the online posting, the contact listed is the NIH Office of Extramural Research (OER) webmaster at FBOWebmaster@OD.NIH.GOV, which is typical for issues related to viewing or linking to the FOA rather than scientific questions about the program.
Frequently Asked Questions (FAQs)
What is the title of this funding opportunity?
The funding opportunity is titled "Novel statistical methods for human gene expression quantitative trait loci (eQTL) analysis (R01)."
What is the Funding Opportunity Number (FOA number)?
The Funding Opportunity Number is RFA-RM-09-006.
What type of grant mechanism is used?
This opportunity uses the NIH R01 research project grant mechanism.
Which agency is offering this grant?
This is a National Institutes of Health (NIH) discretionary grant solicitation.
What scientific area does this FOA focus on?
The core focus is eQTL analysis, meaning statistical methods that identify associations between genetic variants (such as SNPs) and differences in gene expression levels in humans.
Is the FOA focused on multi-tissue effects?
Yes. A strong emphasis is placed on how genetic effects on gene expression can vary by tissue type.
What is the main goal of the FOA?
The goal is to advance the statistical toolbox for human eQTL analysis by creating genuinely new or substantially improved statistical methods that can handle the scale, complexity, and biological structure of emerging datasets.
Does the FOA encourage applying existing eQTL workflows as-is?
No. The intent is not simply to apply existing approaches, but to develop novel or substantially improved methods tailored to modern, complex datasets.
Which NIH initiative motivated this call for methods?
A central motivation is the NIH Roadmap initiative known as the Genotype-Tissue Expression (GTEx) Project.
What is GTEx in the context of this FOA?
GTEx was designed to generate large, multi-tissue datasets that link genotype information to gene expression and regulatory readouts across many human tissues.
Why are standard eQTL workflows considered insufficient for GTEx-style data?
GTEx-style datasets include multiple tissues per donor, complicated sources of correlation, high-dimensional measurements, and variable sample sizes across tissues. Standard workflows can fall short when these factors are forced into oversimplified models.
What kinds of data can applicants use while developing new methods?
Applicants are encouraged to use existing tissue-specific gene expression datasets and/or simulated data for method development, prototyping, benchmarking, and performance demonstrations.
Are applicants expected to use GTEx data?
Applicants are strongly encouraged to incorporate GTEx-generated data if and when those data become available, reflecting a priority for methods that will be directly useful as GTEx resources expand.
What qualities are implied to be important for proposed methods?
The FOA implies a premium on approaches that are scalable, robust, able to generalize across tissues and study designs, and that pay careful attention to inference and reproducibility.
What is the funding activity category and CFDA number listed?
The activity category is Health, and the CFDA listing is 93.310 (Trans-NIH Research Support).
Is cost sharing or matching required?
No. The opportunity does not require cost sharing or matching.
What is the estimated total funding level?
The estimated total funding level listed is $1,000,000.
What is the award ceiling?
The award ceiling is $300,000.
Does the funding level suggest multiple awards?
Based on the estimated total funding level ($1,000,000) and the award ceiling ($300,000), the posting indicates that multiple awards were likely anticipated and that budgets were expected to be moderate and method-development oriented.
Who is eligible to apply?
Eligibility is broad and includes small businesses, for-profit organizations (other than small businesses), private and public institutions of higher education, and nonprofit organizations both with and without 501(c)(3) status.
Are mission-driven and minority-serving institutions explicitly included?
Yes. The eligibility language explicitly includes Historically Black Colleges and Universities (HBCUs), Hispanic Serving Institutions, Tribally Controlled Colleges and Universities (TCCUs), Alaska Native and Native Hawaiian Serving Institutions, and other similar institutions.
Are non-U.S. (foreign) entities eligible?
Yes. The eligibility language explicitly includes non-U.S. (foreign) entities.
Are federal agencies eligible to apply?
Yes. Eligible federal agencies are explicitly included in the eligibility description.
When was this FOA posted and created?
It was posted and created on April 1, 2009.
What was the closing date for applications?
The original and current closing date listed is September 16, 2009.
Is this opportunity still open?
No. The opportunity is archived, with an archive date of October 17, 2009.
What does it mean that the FOA is archived?
Based on the listing, the archive status indicates the opportunity is no longer active for applications, though the announcement remains available as a record of the program and its requirements at the time.
Where can applicants find the official NIH announcement?
The official announcement link provided is: http://grants.nih.gov/grants/guide/rfa-files/RFA-RM-09-006.html
Who should be contacted for access or technical issues with the online posting?
For access or technical issues related to the posting, the contact listed is the NIH Office of Extramural Research (OER) webmaster at FBOWebmaster@OD.NIH.GOV.
Is the listed contact intended for scientific questions about the program?
No. The contact is described as typical for issues related to viewing or linking to the FOA, rather than scientific questions about the program.
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