Opportunity Information: Apply for PAR 17 214

This funding opportunity, PAR 17-214, is a National Institutes of Health (NIH) grant announcement from the National Institute on Aging (NIA) focused on Alzheimer’s disease genetics. It supports projects that analyze large-scale human genetic datasets produced through NIA’s Alzheimer’s Disease Sequencing Project (ADSP) Follow-Up Study, specifically the genome-wide association study (GWAS) data and whole-genome sequencing (WGS) and related sequencing data that were generated under the earlier initiative referenced as PAR-16-406. In practical terms, the announcement is aimed at teams that can take already-generated ADSP follow-up genomic data and extract new scientific findings from it, such as identifying risk variants, clarifying genetic architecture, connecting variants to biological pathways, or improving understanding of how genetic differences influence Alzheimer’s disease and related dementias.

The mechanism is a U01 cooperative agreement, which generally means the work is funded as a research project but with substantial scientific involvement from NIH staff compared to a typical investigator-initiated R01. A U01 structure is commonly used when the agency expects coordination, adherence to shared program goals, or close interaction with NIH program leadership, particularly for complex, high-value data resources like major sequencing consortia. The activity category is listed under Health and the CFDA number provided is 93.866, which corresponds to NIA research support.

The opportunity is described as a limited competition, signaling that it is not an open-ended call for any Alzheimer’s topic, but a targeted solicitation for analysis of a specific set of datasets produced by the ADSP Follow-Up Study. The central expectation is rigorous, genome-scale analysis, which can include GWAS-based discovery, sequencing-based rare variant analysis, integrative analyses across data types, and other advanced statistical and computational approaches suited to large genomic datasets. Because the data are already generated, the emphasis is on analytic strategy, methodological strength, interpretation, and the ability to translate genetic signals into credible biological or clinical insight, rather than on collecting new samples.

A wide range of applicant organizations are eligible. Eligible applicants include many types of U.S.-based public entities (state, county, city or township governments; special district governments; independent school districts; and public housing authorities/Indian housing authorities), U.S. higher education institutions (public/state-controlled and private institutions of higher education), Native American tribal governments that are federally recognized, and Native American tribal organizations that are not federally recognized tribal governments. The announcement also permits applications from nonprofits with or without 501(c)(3) status (as long as they are not institutions of higher education), for-profit organizations (other than small businesses), and small businesses. It explicitly highlights additional eligible categories 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 Asian American Native American Pacific Islander Serving Institutions (AANAPISI), as well as faith-based or community-based organizations, eligible federal agencies, regional organizations, and U.S. territories or possessions. This broad eligibility is consistent with NIH’s interest in drawing on a wide scientific workforce and encouraging participation from diverse institution types, including those that serve underrepresented populations.

At the same time, the announcement is explicit about restrictions related to foreign involvement. Non-domestic (non-U.S.) entities are not eligible to apply as applicant organizations, and non-domestic components of U.S. organizations are not eligible. In addition, foreign components, as NIH defines them in its Grants Policy Statement, are not allowed. In short, the applicant and all participating components need to be U.S.-based without foreign components under NIH’s definitions.

Administrative details in the source information include an original closing date of 2020-09-07 and a creation date of 2017-03-10. The award ceiling and expected number of awards are not specified in the provided excerpt, which typically means applicants would need to consult the full funding announcement or related NIH guidance for budget limits, project period expectations, and anticipated award count. Overall, the grant is best understood as a targeted NIA initiative to maximize the scientific return on a major Alzheimer’s genomics investment by funding sophisticated analyses of existing ADSP follow-up GWAS and sequencing datasets under a cooperative agreement framework.

  • The National Institutes of Health in the health sector is offering a public funding opportunity titled "Limited Competition: Analysis of Data from NIA's Alzheimer's Disease Sequencing Project Follow-Up Study (U01)" and is now available to receive applicants.
  • Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.866.
  • This funding opportunity was created on 2017-03-10.
  • Applicants must submit their applications by 2020-09-07. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
  • 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.
Apply for PAR 17 214

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FAQs: NIH NIA Funding Opportunity PAR-17-214 (Alzheimer's Disease Genetics - ADSP Follow-Up Data Analysis)

What is PAR-17-214?

PAR-17-214 is a National Institutes of Health (NIH) funding opportunity from the National Institute on Aging (NIA) focused on Alzheimer’s disease genetics. It supports research projects that analyze large-scale human genetic datasets generated through NIA’s Alzheimer’s Disease Sequencing Project (ADSP) Follow-Up Study.

What is the main purpose of this opportunity?

The main purpose is to fund teams that can extract new scientific findings from already-generated ADSP Follow-Up Study genomic data. The emphasis is on rigorous genome-scale analysis and interpretation to improve understanding of genetic influences on Alzheimer’s disease and related dementias.

What datasets are applicants expected to analyze?

Projects are expected to analyze large-scale human genetic datasets produced by the ADSP Follow-Up Study, specifically genome-wide association study (GWAS) data and whole-genome sequencing (WGS) and related sequencing data that were generated under the earlier initiative referenced as PAR-16-406.

Is this opportunity for generating new data or analyzing existing data?

This opportunity is focused on analyzing existing ADSP Follow-Up Study data rather than collecting new samples. Because the data are already generated, the application is expected to emphasize analytic strategy, methodological rigor, and interpretation.

What kinds of research questions or outcomes does NIA expect?

The opportunity is aimed at producing new insights from ADSP follow-up genomic resources, such as identifying risk variants, clarifying genetic architecture, connecting variants to biological pathways, and improving understanding of how genetic differences influence Alzheimer’s disease and related dementias.

What types of analyses are encouraged?

The announcement highlights rigorous, genome-scale approaches that may include GWAS-based discovery, sequencing-based rare variant analysis, integrative analyses across data types, and other advanced statistical and computational methods suited to large genomic datasets.

What grant mechanism is used for PAR-17-214?

The mechanism is a U01 cooperative agreement. This generally supports a research project while also involving substantial scientific participation by NIH staff compared with typical investigator-initiated mechanisms.

What does it mean that this is a U01 cooperative agreement?

A U01 cooperative agreement typically indicates that NIH expects close interaction with NIH program leadership and coordination around shared program goals, particularly when projects involve complex, high-value data resources such as major sequencing consortium datasets.

What does "limited competition" mean in this announcement?

"Limited competition" indicates this is a targeted solicitation rather than an open-ended call for any Alzheimer’s-related topic. It is specifically aimed at analysis of a defined set of datasets from the ADSP Follow-Up Study.

Which NIH institute is sponsoring this opportunity?

This opportunity is sponsored by the National Institute on Aging (NIA), part of the NIH.

What is the activity category and CFDA number listed?

The activity category is Health. The CFDA number provided is 93.866, which corresponds to NIA research support.

Who is eligible to apply?

A broad range of U.S.-based organizations are eligible. Eligible applicants include various U.S. government entities (state, county, city or township, special district, independent school districts, and public housing authorities/Indian housing authorities), U.S. higher education institutions (public and private), eligible tribal governments and tribal organizations, nonprofits (with or without 501(c)(3) status, as long as they are not institutions of higher education), for-profit organizations (other than small businesses), and small businesses.

Are minority-serving institutions explicitly included as eligible applicants?

Yes. The announcement explicitly highlights eligibility for institutions 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 Asian American Native American Pacific Islander Serving Institutions (AANAPISI).

Are faith-based or community-based organizations eligible?

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

Are U.S. territories or possessions eligible to apply?

Yes. U.S. territories or possessions are included among eligible applicant categories.

Are federal agencies eligible to apply?

Yes. Eligible federal agencies are listed as eligible applicants in the provided information.

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

No. Non-domestic (non-U.S.) entities are not eligible to apply as applicant organizations for this opportunity.

Can a U.S. organization include a non-U.S. component in the application?

No. Non-domestic components of U.S. organizations are not eligible, and foreign components (as defined by NIH in its Grants Policy Statement) are not allowed.

Does the announcement allow any foreign components under NIH definitions?

No. The announcement states that foreign components, as NIH defines them, are not allowed. In practical terms, the applicant and all participating components need to be U.S.-based under NIH policy definitions.

What is the original closing date listed for this opportunity?

The original closing date listed is 2020-09-07.

What is the creation date listed for this opportunity?

The creation date listed is 2017-03-10.

Is the award ceiling provided in the information excerpt?

No. The award ceiling is not specified in the provided information.

Is the expected number of awards provided?

No. The expected number of awards is not specified in the provided information.

Where would an applicant typically look for budget limits or project period expectations?

Because budget limits, project period expectations, and anticipated award count are not included in the provided excerpt, an applicant would typically need to consult the full funding announcement and any associated NIH guidance.

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Funding Number: PAR 17 249
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