Opportunity Information: Apply for PA 18 741

The funding opportunity titled "Secondary Analyses in Obesity, Diabetes and Digestive and Kidney Diseases (R21 Clinical Trial Not Allowed)" (PA-18-741) is a National Institutes of Health grant program that supports small, exploratory research projects focused on analyzing data that already exist. It is aimed at investigators who want to test new or unconventional ideas without collecting new primary data, and it is specifically framed around secondary analysis, meaning the main work of the project should be extracting additional scientific value from completed studies, established cohorts, registries, clinical databases, administrative claims, biospecimen-linked datasets, or other previously collected resources. A key boundary is that this mechanism does not support clinical trials, and the emphasis is on analysis rather than generating or presenting new datasets.

Scientifically, the scope is broad but clearly centered on diseases and conditions that fall within obesity, diabetes, and digestive and kidney disease research priorities. On the diabetes and endocrine side, it includes diabetes and selected endocrine and metabolic disorders such as thyroid and parathyroid diseases, Cushing's disease, and acromegaly. It also explicitly includes genetic and inherited metabolic diseases, with examples like cystic fibrosis, lysosomal storage disorders, and disorders involving the urea cycle, amino acid metabolism, and metal transport, particularly when the research focus relates to peripheral metabolism or organ function. In addition, the FOA covers obesity, liver diseases, diseases of the alimentary gastrointestinal tract, and nutrition-related research, as well as kidney, urologic, and hematologic diseases. In practical terms, this allows applicants to propose analyses that cut across metabolism, endocrine function, digestion, liver biology, renal physiology, and related systemic complications, as long as the project is grounded in reanalyzing existing data.

The overall goal of the program is to encourage innovative hypothesis generation and hypothesis testing using already available data resources. Projects are expected to be analytic at their core, for example by applying new statistical approaches to an established dataset, combining variables in novel ways, examining understudied subgroups, evaluating new biomarkers already measured in a dataset, exploring mechanistic pathways using existing multi-omic or clinical measures, or assessing relationships and outcomes that were not part of the original aims of a study. The program language underscores that the purpose is not primarily to prepare datasets for sharing or to focus on data presentation; the value proposition is the scientific insight gained through analysis.

The funding mechanism is an NIH R21, which is commonly used for early-stage, high-risk/high-reward, or pilot-style projects that can be completed with limited time and budget. The opportunity lists an award ceiling of $200,000, signaling a relatively modest funding level consistent with R21 expectations. The activity category is listed under Food and Nutrition and Health, and the CFDA number associated with it is 93.847. The opportunity is categorized as a discretionary grant program administered by NIH.

Eligibility is expansive and includes many types of applicants across the public, private, nonprofit, and academic sectors. Eligible applicants include state, county, city or township governments, special district governments, and independent school districts, as well as public and state-controlled institutions of higher education and private institutions of higher education. It also includes federally recognized Native American tribal governments, and tribal organizations that are not federally recognized, along with public housing authorities and Indian housing authorities. Nonprofits are eligible whether or not they have 501(c)(3) status, provided they are not institutions of higher education. For-profit organizations (other than small businesses) and small businesses are also eligible, and the FOA lists "others" as an eligible category, which typically reflects NIH's broad eligibility framework when the proposed work aligns with the institute mission and requirements.

The announcement also emphasizes inclusion of institutions and organizations that are often highlighted in federal funding eligibility language, such as Alaska Native and Native Hawaiian Serving Institutions, Asian American Native American Pacific Islander Serving Institutions (AANAPISIs), Hispanic-serving Institutions, Historically Black Colleges and Universities (HBCUs), Tribally Controlled Colleges and Universities (TCCUs), faith-based or community-based organizations, eligible federal government agencies, U.S. territories or possessions, regional organizations, and non-U.S. entities (foreign organizations). This makes the program accessible to a wide range of institutions that may have access to unique datasets or populations relevant to the diseases in scope, or that are positioned to ask novel questions from existing data sources.

Administratively, the opportunity was created on April 3, 2018, and the listed original closing date is May 7, 2021. Even when a specific closing date is shown in a summary record, applicants typically need to confirm the current status and available receipt dates in the official NIH and grants portal listings, since NIH opportunities sometimes operate under multi-year parent announcements or are updated, reissued, or expired over time.

In summary, this FOA is designed for researchers who can leverage existing datasets to produce new insights related to metabolic, endocrine, digestive, liver, renal, urologic, hematologic, obesity, nutrition, and diabetes-related conditions. The strongest fit is a proposal that clearly explains what dataset(s) will be used, what new hypothesis or analytic approach will be applied, why the question matters to the disease areas named in the FOA, and how the work can be completed as an R21-scale analysis project without conducting a clinical trial or building a new primary dataset.

  • The National Institutes of Health in the food and nutrition, health sector is offering a public funding opportunity titled "Secondary Analyses in Obesity, Diabetes and Digestive and Kidney Diseases (R21 Clinical Trial Not Allowed)" and is now available to receive applicants.
  • Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.847.
  • This funding opportunity was created on 2018-04-03.
  • Applicants must submit their applications by 2021-05-07. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
  • Each selected applicant is eligible to receive up to $200,000.00 in funding.
  • Eligible applicants include: State governments, County governments, City or township governments, Special district governments, Independent school districts, Public and State controlled institutions of higher education, Native American tribal governments (Federally recognized), Public housing authorities/Indian housing authorities, Native American tribal organizations (other than Federally recognized tribal governments), 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, Private institutions of higher education, For-profit organizations other than small businesses, Small businesses, Others.
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Frequently Asked Questions (FAQs)

What is the funding opportunity "Secondary Analyses in Obesity, Diabetes and Digestive and Kidney Diseases (R21 Clinical Trial Not Allowed)" (PA-18-741)?

This is a National Institutes of Health (NIH) discretionary grant program that supports small, exploratory research projects that conduct secondary analyses of already-existing data. The focus is on generating new scientific insights by reanalyzing data from completed studies or established data resources rather than collecting new primary data.

What does "secondary analysis" mean for this program?

Secondary analysis means the proposed project is primarily focused on extracting additional scientific value from data that have already been collected. Examples of eligible data resources include completed studies, established cohorts, registries, clinical databases, administrative claims, biospecimen-linked datasets, or other previously collected resources. The core work should be the analysis itself, not creating a new dataset.

Are clinical trials allowed under this FOA?

No. This opportunity is explicitly labeled "Clinical Trial Not Allowed". The project should not propose a clinical trial as part of the research plan.

What types of research questions are a strong fit for this FOA?

Projects are expected to be analytic and innovative, such as applying new statistical approaches to an existing dataset, combining variables in novel ways, examining understudied subgroups, evaluating biomarkers already measured in a dataset, exploring mechanistic pathways using existing multi-omic or clinical measures, or assessing relationships and outcomes that were not part of the original aims of a study.

What kinds of data sources can be used?

The FOA is framed around reanalyzing existing resources, including (but not limited to): completed studies, established cohorts, registries, clinical databases, administrative claims data, and biospecimen-linked datasets. The key requirement is that the proposal is centered on analysis of data that already exist.

Is the FOA intended for building, preparing, or presenting datasets?

No. The program language emphasizes that the purpose is not primarily to prepare datasets for sharing or to focus on data presentation. The value of the project should come from the scientific insights produced through analysis.

What scientific areas are within the scope of this opportunity?

The scope is broad but clearly centered on diseases and conditions aligned with research priorities in obesity, diabetes, digestive diseases, and kidney-related diseases, including related metabolism, endocrine function, nutrition, and systemic complications.

Does the FOA include diabetes and endocrine or metabolic disorders beyond diabetes itself?

Yes. In addition to diabetes, the scope includes selected endocrine and metabolic disorders such as thyroid and parathyroid diseases, Cushing's disease, and acromegaly.

Are genetic and inherited metabolic diseases included?

Yes. The FOA explicitly includes genetic and inherited metabolic diseases, with examples such as cystic fibrosis, lysosomal storage disorders, and disorders involving the urea cycle, amino acid metabolism, and metal transport, particularly when the research focus relates to peripheral metabolism or organ function.

Are obesity and nutrition research included?

Yes. The scope explicitly includes obesity and nutrition-related research.

Are digestive and liver diseases included?

Yes. The FOA includes liver diseases and diseases of the alimentary gastrointestinal tract.

Are kidney and urologic diseases included?

Yes. The FOA includes kidney and urologic diseases, and it also mentions hematologic diseases within its scientific scope.

What is the funding mechanism for this opportunity?

The program uses the NIH R21 mechanism, which is commonly used for early-stage, exploratory, pilot-style, or high-risk/high-reward projects that can be completed with limited time and budget.

What is the award ceiling for this R21 opportunity?

The opportunity lists an award ceiling of $200,000, indicating a modest funding level consistent with R21 expectations.

What is the CFDA number associated with this opportunity?

The CFDA number listed for this opportunity is 93.847.

How is the activity category described?

The activity category is listed under Food and Nutrition and Health.

Who is eligible to apply?

Eligibility is broad and includes many public, private, nonprofit, and academic organizations. Eligible applicants include various levels of government (state, county, city or township), special district governments, independent school districts, public and state-controlled institutions of higher education, private institutions of higher education, tribal governments (federally recognized), and tribal organizations (including those not federally recognized), among others.

Are nonprofits eligible, including those without 501(c)(3) status?

Yes. Nonprofits are eligible whether or not they have 501(c)(3) status, as long as they are not institutions of higher education.

Are for-profit organizations and small businesses eligible?

Yes. The FOA includes eligibility for for-profit organizations (other than small businesses) and also lists small businesses as eligible applicants.

Are institutions like HBCUs, HSIs, and Tribal Colleges included in eligibility?

Yes. The announcement emphasizes inclusion of institutions and organizations often highlighted in federal eligibility language, including Historically Black Colleges and Universities (HBCUs), Hispanic-serving Institutions, Tribally Controlled Colleges and Universities (TCCUs), and other serving institutions.

Are faith-based and community-based organizations eligible?

Yes. Faith-based or community-based organizations are explicitly mentioned among eligible applicant categories.

Can non-U.S. entities (foreign organizations) apply?

Yes. The eligibility language includes non-U.S. entities (foreign organizations).

When was this opportunity created, and what closing date is listed?

The opportunity was created on April 3, 2018, and the listed original closing date is May 7, 2021.

Should applicants rely solely on the listed closing date?

No. Even when a closing date is shown in a summary record, applicants are expected to confirm the current status and available receipt dates in official NIH and grants portal listings, since opportunities can be updated, reissued, or expired over time.

What would make a proposal especially well-aligned with this FOA?

A strong fit is a proposal that clearly identifies the dataset(s) to be used, specifies the new hypothesis or analytic approach, explains why the question matters for obesity, diabetes, digestive, liver, kidney, urologic, hematologic, or related nutrition/metabolic conditions, and demonstrates that the work can be completed as an R21-scale analysis project without conducting a clinical trial or generating a new primary dataset.

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