Opportunity Information: Apply for PA 17 239

The NIH funding opportunity titled "Secondary Analysis and Integration of Existing Data to Elucidate the Genetic Architecture of Cancer Risk and Related Outcomes (R01)" (Funding Opportunity Number PA-17-239) supports research projects that make new scientific gains by reusing, reanalyzing, and combining data that already exist. Instead of paying primarily for new data collection, the program is centered on secondary analysis and data integration, with the larger aim of clarifying how genetic and genomic factors shape cancer risk and a range of cancer-related outcomes. The FOA is designed to push cancer epidemiology forward by encouraging researchers to ask important questions that can be answered now through smarter use of previously generated datasets and established database resources.

At the heart of this announcement is the expectation that applicants will leverage existing genetic or genomic data and apply innovative analytic strategies to uncover patterns that were not fully explored in the original studies. Projects can focus on new research aims addressed with existing data, the development or application of new and advanced analytic methods, or creative combinations of multiple datasets that, when integrated, enable more powerful or more nuanced investigations than any single dataset could support. The FOA explicitly welcomes studies that integrate genetic or genomic information with other types of data that are already available, including environmental exposures, clinical or other outcomes, behavioral factors, lifestyle measures, and molecular profiling data. In practical terms, this means proposals might examine how inherited variation interacts with exposures or behaviors, refine risk prediction, identify genetic contributors to cancer incidence or progression, or clarify genetic relationships with survivorship and other downstream outcomes, as long as the work is grounded in secondary analysis of existing resources.

The activity is funded as an R01 research project grant, which typically implies a substantial, hypothesis-driven or question-driven scope with a clear analytic plan, strong justification for dataset choice and integration strategy, and appropriate attention to issues that commonly arise in large-scale genetic epidemiology, such as population structure, harmonization of measures across studies, batch effects, missing data, and multiple testing. Competitive applications under a mechanism like this generally need to show why the proposed reanalysis or integration is likely to produce meaningful new knowledge rather than simply reproducing prior findings, and they should make a compelling case that the available data are adequate in size, quality, and relevance to answer the questions posed.

Eligibility is broad and includes many types of domestic U.S. organizations as well as certain non-U.S. entities. Eligible applicants listed for this opportunity include state, county, and local governments; special district governments; independent school districts; public and state-controlled institutions of higher education; private institutions of higher education; federally recognized Native American tribal governments; other Native American tribal organizations; public housing authorities and Indian housing authorities; nonprofits with and without 501(c)(3) status (excluding institutions of higher education); for-profit organizations other than small businesses; small businesses; and other eligible entities. The FOA also highlights additional eligible applicants such as Alaska Native and Native Hawaiian Serving Institutions; Asian American Native American Pacific Islander Serving Institutions (AANAPISISs); Hispanic-serving institutions; Historically Black Colleges and Universities (HBCUs); Tribally Controlled Colleges and Universities (TCCUs); eligible federal agencies; faith-based or community-based organizations; Indian/Native American tribal governments other than federally recognized ones; regional organizations; non-domestic (non-U.S.) entities (foreign organizations); and U.S. territories or possessions. This wide eligibility reflects an intent to draw on diverse research teams and institutions, including those serving underrepresented populations, which is particularly relevant for genetic architecture research where diversity in datasets can materially affect discovery and generalizability.

From the source details provided, the sponsoring agency is the National Institutes of Health, the opportunity category is discretionary, and the funding instrument type is a grant within activity areas associated with education and health. The CFDA numbers associated with the FOA are 93.121, 93.172, 93.393, and 93.396. The record shows an award ceiling of $350,000 and lists an original closing date of 2020-05-07, with a creation date of 2017-03-30. While the excerpt does not specify the exact number of expected awards, the overall structure and intent are clear: to fund rigorous R01-level projects that use existing genetic/genomic datasets, alone or integrated with other existing data streams, to answer high-value questions about cancer risk and outcomes through advanced and/or novel analyses.

  • The National Institutes of Health in the education, health sector is offering a public funding opportunity titled "Secondary Analysis and Integration of Existing Data to Elucidate the Genetic Architecture of Cancer Risk and Related Outcomes (R01)" and is now available to receive applicants.
  • Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.121, 93.172, 93.393, 93.396.
  • This funding opportunity was created on 2017-03-30.
  • Applicants must submit their applications by 2020-05-07. (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 $350,000.00 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.
Apply for PA 17 239

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Activities to Promote Research Collaborations on Immune-Related Adverse Events (APRC-irAEs) Associated with Cancer Immunotherapy (Admin Supp) Apply for PA 17 248

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Research Projects to Enhance Applicability of Mammalian Models for Translational Research (R01) Apply for PAR 17 245

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Extracellular Vesicles and Substance Use Disorders (R01) Apply for PAR 17 250

Funding Number: PAR 17 250
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Expanding Medication Assisted Treatment for Opioid Use Disorders in the Context of the SAMHSA Opioid STR Grants (R21/R33) Apply for RFA DA 18 005

Funding Number: RFA DA 18 005
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Nasal Delivery of CNS Therapeutics (R43/R44) Apply for RFA DA 18 006

Funding Number: RFA DA 18 006
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Nasal Delivery of CNS Therapeutics (R41/R42) Apply for RFA DA 18 007

Funding Number: RFA DA 18 007
Agency: National Institutes of Health
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Role of Myeloid Cells in Persistence and Eradication of HIV-1 Reservoirs from the Brain (R01) Apply for RFA MH 18 300

Funding Number: RFA MH 18 300
Agency: National Institutes of Health
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Role of Myeloid Cells in Persistence and Eradication of HIV-1 Reservoirs from the Brain (R21) Apply for RFA MH 18 301

Funding Number: RFA MH 18 301
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Genomic Community Resources (U24) Apply for PAR 17 273

Funding Number: PAR 17 273
Agency: National Institutes of Health
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In Vitro and Animal Model Studies on HBV/HIV Co-Infection (R01) Apply for PA 17 280

Funding Number: PA 17 280
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HIV and Hepatitis B Co-Infection: Advancing HBV Functional Cure through Clinical Research (R01) Apply for PA 17 279

Funding Number: PA 17 279
Agency: National Institutes of Health
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Wearable to Track Recovery and Relapse Factors for People w/ Addiction(R43/R44) Apply for RFA DA 18 010

Funding Number: RFA DA 18 010
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Exploring Novel RNA Modifications in HIV/AIDS and Substance Use Disorders (R01) Apply for RFA DA 18 008

Funding Number: RFA DA 18 008
Agency: National Institutes of Health
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Exploring Novel RNA Modifications in HIV/AIDS and Substance Use Disorders (R21) Apply for RFA DA 18 009

Funding Number: RFA DA 18 009
Agency: National Institutes of Health
Category: Education, Health
Funding Amount: $200,000
In Vitro and Animal Model Studies on HBV/HIV Co-Infection (R21) Apply for PA 17 281

Funding Number: PA 17 281
Agency: National Institutes of Health
Category: Education, Health
Funding Amount: $200,000
HIV and Hepatitis B Co-Infection: Advancing HBV Functional Cure through Clinical Research (R21) Apply for PA 17 278

Funding Number: PA 17 278
Agency: National Institutes of Health
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Leveraging Population-based Cancer Registry Data to Study Health Disparities (R01) Apply for PA 17 289

Funding Number: PA 17 289
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Leveraging Population-based Cancer Registry Data to Study Health Disparities (R21) Apply for PA 17 288

Funding Number: PA 17 288
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