Secondary Analyses of Existing Alcohol Research Data (R01) | PA 17 467

Opportunity Information: Apply for PA 17 467

The Secondary Analyses of Existing Alcohol Research Data (R01) funding opportunity (PA 17-467) from the National Institutes of Health supports investigator-initiated projects that reanalyze data that already exist, rather than collecting new primary data. The central purpose is to generate new scientific knowledge about alcohol use and alcohol-related problems by applying strong research questions and modern analytic approaches to established datasets. In practice, the FOA is aimed at researchers who can leverage large cohort studies, clinical trial datasets, epidemiologic surveillance data, administrative or health system records, biobank-linked phenotypes, and genetics or genomics resources to answer important questions that the original studies did not fully address.

The research focus is broad but clearly centered on improving understanding of alcohol consumption patterns and alcohol-related outcomes in populations. That includes work on the incidence and prevalence of alcohol misuse, alcohol use disorder, and related harms, along with deeper investigation into etiology, meaning the causal pathways and mechanisms that contribute to the development of alcohol-related problems. The announcement explicitly highlights genetics and genomics as a key area of interest, signaling that projects can involve genetic association analyses, gene-environment interplay, polygenic risk approaches, or integrative analyses that connect genomic data with behavioral, clinical, and environmental measures already present in existing resources. The FOA also emphasizes identifying risk and protective factors, which can include individual-level factors (such as comorbid mental health conditions, age of initiation, or stress exposure), social determinants (such as neighborhood context, socioeconomic status, discrimination, or policy environment), and family or developmental influences.

A notable feature of this opportunity is that it encourages methodological contributions, not just substantive findings. Applications that use analytic techniques that demonstrate or advance methods in alcohol epidemiology or genetics/genomics are specifically described as responsive. That can include improved causal inference strategies for observational data, harmonization across multiple datasets, approaches for dealing with missing data or measurement differences, advanced longitudinal modeling, or modern genetic and multi-omic methods that strengthen validity and interpretability. The emphasis on secondary analysis also implies that applicants should clearly justify why the selected dataset(s) are well suited to the proposed aims, what new insight will be produced beyond prior publications, and how the analytic plan will maximize the value of already-funded or already-collected data.

The award mechanism is an R01 research project grant, which generally supports a defined, hypothesis-driven research program led by a principal investigator, with a scope and budget appropriate for a full research project rather than a small pilot. The opportunity is categorized as discretionary funding and falls under the health activity category, with CFDA number 93.273. While the source text does not list an award ceiling or expected number of awards, the intent is clear: provide research support for rigorous secondary analyses that can move the field forward without the time and cost of new data collection.

Eligibility is intentionally expansive. In addition to the typical range of U.S. academic and research organizations, the FOA allows applications from state, county, city, and special district governments; public and state-controlled and private institutions of higher education; independent school districts; federally recognized Native American tribal governments; tribal organizations that are not federally recognized; public housing authorities; nonprofit organizations with or without 501(c)(3) status; for-profit organizations (other than small businesses) and small businesses; and other entities. The FOA also calls out additional eligible applicants such as Alaska Native and Native Hawaiian Serving Institutions, Asian American Native American Pacific Islander Serving Institutions, Hispanic-serving Institutions, Historically Black Colleges and Universities, Tribally Controlled Colleges and Universities, faith-based or community-based organizations, eligible federal agencies, regional organizations, U.S. territories or possessions, and non-U.S. (foreign) organizations. Taken together, this breadth is meant to encourage participation by a wide range of institutions, including those serving historically underrepresented populations and those positioned to conduct policy-relevant or community-relevant analyses.

Key administrative details in the provided record include the agency (National Institutes of Health), the FOA creation date (2017-08-23), and an original closing date listed as 2020-09-07. The bottom-line message of the opportunity is straightforward: if a research team has access to strong, existing alcohol-related datasets and can propose a compelling set of questions and analytic strategies that deepen understanding of alcohol use patterns, causes, consequences, and genetic or epidemiologic underpinnings, this R01 mechanism is intended to fund that work, especially when it can deliver both scientific insight and methodological progress.

• The National Institutes of Health in the health sector is offering a public funding opportunity titled "Secondary Analyses of Existing Alcohol Research Data (R01)" and is now available to receive applicants.
• Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.273.
• This funding opportunity was created on 2017-08-23.
• 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.

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