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Department of Health and Human Services
Part 1. Overview Information
Participating Organization(s)

National Institutes of Health (NIH)

Components of Participating Organizations

National Human Genome Research Institute (NHGRI)

Funding Opportunity Title

Systematic Characterization of Genomic Variation on Genome Function and Phenotype (UM1 Clinical Trial Not Allowed)

Activity Code

UM1 Research Project with Complex Structure Cooperative Agreement

Announcement Type

New

Related Notices
  • August 19, 2020 - Notice of Pre-Application Webinars for the Impact of Genomic Variation on Function (IGVF) Consortium FOAs. See Notice NOT-HG-20-055.
Funding Opportunity Announcement (FOA) Number

RFA-HG-20-043

Companion Funding Opportunity

RFA-HG-20-045, UM1 Research Project with Complex Structure Cooperative Agreement

RFA-HG-20-044, U01 Research Project Cooperative Agreements

RFA-HG-20-047, U01 Research Project Cooperative Agreements

RFA-HG-20-046, U24 Resource-Related Research Projects Cooperative Agreements

Catalog of Federal Domestic Assistance (CFDA) Number(s)

93.172

Funding Opportunity Purpose

This FOA seeks applications to experimentally correlate genomic variants with their effects on genomic function. This will be accomplished by performing systematic perturbation; collecting data on the effects of non-coding and protein-coding genomic variation on molecular, cellular, and organismal phenotypes; generating a catalog of these variant effects; and assisting in a group predictive modeling effort using the data. This will also be accomplished by enabling others to perform related research by sharing approaches and standards, as well as identifying methodological strengths and weaknesses. Centers funded through this initiative will become part of the Impact of Genomic Variation on Function (IGVF) Consortium. As members of this Consortium, functional characterization centers will be expected to work closely with one another and other Consortium components to accelerate understanding of how genomic variation impacts human health and disease through the coordination of data collection strategies and analyses.

Key Dates
Posted Date

August 4, 2020

Open Date (Earliest Submission Date)

October 4, 2020

Letter of Intent Due Date(s)

30 days prior to the application due date

Application Due Date(s)

November 4, 2020

All applications are due by 5:00 PM local time of applicant organization. All types of non-AIDS applications allowed for this funding opportunity announcement are due on the listed date(s)

Applicants are encouraged to apply early to allow adequate time to make any corrections to errors found in the application during the submission process by the due date.

AIDS Application Due Date(s)

Not Applicable

Scientific Merit Review

March 2021

Advisory Council Review

May 2021

Earliest Start Date

July 2021

Expiration Date

November 5, 2020

Due Dates for E.O. 12372

Not Applicable

Required Application Instructions

It is critical that applicants follow the Research (R) Instructions in the SF424 (R&R) Application Guide, except where instructed to do otherwise (in this FOA or in a Notice from the NIH Guide for Grants and Contracts). Conformance to all requirements (both in the Application Guide and the FOA) is required and strictly enforced. Applicants must read and follow all application instructions in the Application Guide as well as any program-specific instructions noted in Section IV. When the program-specific instructions deviate from those in the Application Guide, follow the program-specific instructions. Applications that do not comply with these instructions may be delayed or not accepted for review.


Table of Contents

Part 1. Overview Information
Part 2. Full Text of the Announcement

Section I. Funding Opportunity Description
Section II. Award Information
Section III. Eligibility Information
Section IV. Application and Submission Information
Section V. Application Review Information
Section VI. Award Administration Information
Section VII. Agency Contacts
Section VIII. Other Information


Part 2. Full Text of Announcement
Section I. Funding Opportunity Description

One of the central problems in biology is understanding how genomic variation affects genome function to influence phenotypes. NHGRI considered this problem in part through a workshop entitled "From Genome to Phenotype: Genomic Variation Identification, Association, and Function in Human Health and Disease" as part of its strategic planning efforts. Functional genomics was a priority topic across several workshop discussions (workshop report can be found at: https://www.genome.gov/sites/default/files/media/files/2019-05/Genome_to_Phenotype_Workshop_Report.pdf ). Workshop recommendations highlighted the need for utilizing and developing improved approaches to methodically evaluate the function and phenotypic outcomes of genomic variation. This includes: use of multi-omic and single cell technologies to catalog association between DNA sequence, variation, and function across cell types; high-content, high-resolution functional genomic data following large-scale perturbations in pooled cells; gene regulatory or multi-scale models from multi-layered data across biological systems; as well as improved data interpretation and visualization tools. Ultimately, it was clear that a multi-pronged approach would be needed to better understand genomic function and the role of genetic variation in disease.

Breakthroughs in our understanding of genomic variation and the role it plays in human health and disease have come from a broad community of biomedical researchers and have been supported by research efforts such as NHGRI's Genome Sequencing Program, the 1000 Genomes Project, numerous Genome-Wide Association Studies, and NHGRI's Genome Technology Program. Genomic analyses of populations or individuals to identify disease-associated genomic variants are becoming routine. However, establishing causal relationships between variants and disease risk is hampered by a lack of mechanistic understanding. Similarly, understanding the clinical relevance of variants is stymied by the overwhelming and ever-growing number of variants of unknown significance (VUSs). Key challenges and opportunities lie in defining the role of genomic variants in influencing phenotypes, including human health and disease.

Research efforts have systematically identified candidate functional elements, genes and regulatory regions in the human genome, and have begun establishing what those elements do. For example, the NHGRI's Encyclopedia of DNA Elements (ENCODE) and the NIH Common Fund's Roadmap Epigenomics Mapping Consortium (REMC) use biochemical signatures of gene regulation to identify candidate elements. The goal of the NHGRI Genomics of Gene Regulation (GGR) project was to develop better methods to construct gene-regulatory network models, while the goal of the NHGRI Non-Coding Variants (NoVa) program was to develop methods to predict which disease-associated variants were most likely causal. Importantly, functional elements are known to have distinct effects based on cell type, and significant work remains to build on these other efforts and link the activity of specific candidate functional elements (if any) and genomic variants to specific cell types and phenotypes.

Based on the workshop recommendations and building on prior work, NHGRI is initiating a new program-the Impact of Genomic Variation on Function (IGVF) Consortium-that will develop a framework for systematically understanding the effects of genomic variation on genome function and how these effects shape phenotypes. This program will examine how genomes function, how genome function shapes phenotypes, and how these processes are influenced by genomic variation. The IGVF program will consist of five interrelated components that will utilize emerging experimental and computational approaches to build a catalog of the impact of genomic variants on genome function and phenotypes. The goals of the program are: (1) systematic perturbation of the genome to assess the impact of genomic variation on genome function and phenotype, (2) high-resolution identification of where and when genes and regulatory elements function, (3) advancement of network-level understanding of the influence of genetic variation and genome function on phenotype, (4) development and testing of innovative predictive models of the impact of genomic variation on genome function, (5) generation of a resource centered on a catalog of variant impacts and including data, tools, and models that will be shared with the broader research community, and (6) enabling others to perform related studies using these approaches.

To achieve these goals the following FOAs are issued:

  • RFA-HG-20-043; Systematic Characterization of Genomic Variation on Genome Function and Phenotype (UM1 Clinical Trial Not Allowed). These are referred to as "Functional Characterization Centers".
  • RFA-HG-20-044; Defining Genomic Influence on Gene Network Regulation (U01 Clinical Trial Not Allowed). These are referred to as "Regulatory Network Projects".
  • RFA-HG-20-045; Single-cell Profiling of Regulatory Element and Gene Activity in Relationship to Genome Function (UM1 Clinical Trial Not Allowed). These are referred to as "Mapping Centers".
  • RFA-HG-20-046; Genomic Variation and Function Data and Administrative Coordinating Center (U24 Clinical Trial Not Allowed). This is referred to as the "DACC".
  • RFA-HG-20-047; Developing Predictive Models of the Impact of Genomic Variation on Function (U01 Clinical Trial Not Allowed). These are referred to as "Predictive Modeling Projects".

The IGVF program will be organized as a research consortium that brings investigators together in a highly collaborative effort. Synergies among the different components will be identified and pursued to generate a better understanding of how genomic variation impacts genome function, and to develop a community resource of data, models, analyses, and tools that will be both accessible to researchers and useful for advanced machine learning approaches. This resource will be durable such that the content can be extended and re-used by the community allowing for its expanded utility over time. Applicants must be willing to work collaboratively to achieve the consortium goals. If applicable, awardees are expected to comply with the NIH Genomic Data Sharing (GDS) Policy. NHGRI supports the broadest appropriate genomic data sharing with timely data release through widely accessible data repositories. More information on this expectation can be found on NHGRI's Genomic Data Sharing Policy FAQs webpage and described below in the Research Scope and Objectives and Resource Sharing Plan sections.

Research Scope and Objectives

Current understanding of the relationship between genomic variation and phenotypic consequences is limited. Few systematic efforts have been conducted to date. Experimental limitations include assay throughput, uncertainty about how well assays capture the phenomena being tested and uncertainty about what assay endpoints best balance throughput and biological relevance. Biological limitations include the large number of disease-associated variants and untested variants, complexity of assessing context-specific effects of variants (cell fate, cell states, cell-cell interactions), variant interactions (protein-coding and non-coding, cis and trans), and the fact that multiple mechanisms exist for variant effects. Despite these limitations, there is now a tremendous opportunity to advance our understanding of the role of genomic variation in disease through systematic deployment of assays, integrative analysis of the data and predictive modeling based on the data.

The objectives for this FOA are to:

  • Select genomic variants and/or elements for systematic testing
  • Apply genomic perturbation methods and assay the impact on biologically relevant phenotypes
  • Generate a variant/element/phenotype catalog for the community

The scope of this FOA also includes the following

  • Enable others to perform related studies using these approaches
  • Define a data collection strategy for characterization centers and predictive modeling
  • Assist in generating predictive models for the community
  • Improve generalizable approaches or technologies for high-throughput assays (optional)

Select genomic variants and/or elements for systematic testing: Applicants may propose testing of non-coding or protein-coding variants and/or elements and testing formats may include individual, multiplexed, combinations in cis, and combinations in trans. Examples of variants that could be tested include, but are not limited to, human variants associated with common disease (for example, GWAS), rare disease (for example, Mendelian), clinically annotated variants (for example, ClinGen), uncharacterized variants (for example, from resources such as ClinVar, and gnomAD), or variants not yet observed in humans. Examples of elements include those that harbor candidate disease association variants, candidate regulatory elements for disease-associated genes, or uncharacterized candidate regulatory elements; ENCODE is one source of candidate regulatory elements. Studies should include samples that are derived from individuals of diverse ancestry and allow for consideration of sex as a biological variable. Selection of variants and elements should account for genomic diversity within and across human populations. Applicants should propose study of specific cell types, fates, or states with a focus on cells derived from tissues important in development, differentiation, or in human diseases. Consideration should be given to inclusion of diseases disproportionately affecting disadvantaged or under-represented populations.
Applications must balance systematic sampling of variants and/or elements with the testing capacity for proposed assays.

Apply genomic perturbation methods and assay the impact on biologically relevant phenotypes: Applicants may propose to apply one or more existing state-of-the-art high-throughput genomic perturbation methods. Examples include, but are not limited to, massively parallel reporter assays, genome editing, epigenome editing and high-throughput protein mutagenesis. Applicants should propose to use biological systems relevant to human health and disease that include, but are not limited to, primary cells, organoids, intact animals, cell lines, and cell-free assays. Applicants may propose to detect phenotypic changes at one or more scales, such as molecular (for example RNA abundance or kinase activity), cellular (for example morphology), multi-cellular (phenotypes that require interaction of more than one cell type, which need not be cell autonomous phenotypes) or organismal phenotypes (for example behavior or development).

Generate a variant/element/phenotype catalog for the community: The primary goal of the characterization centers is to collaboratively produce a variant/element/phenotype catalog for use by the community. For all variants that were tested by the consortium, this catalog will report the perturbation and phenotype assay(s), the biological system(s), results and interpretation. Comparisons across assays and with data from other projects will be used to assess the accuracy and biological relevance of the findings. The characterization centers and predictive modeling projects will co-lead a collaboration including mapping centers, the data and administrative coordinating center (DACC), and NHGRI staff. Other groups may participate in the collaboration as appropriate.

Enable others to perform related studies using these approaches: Awardees will fully share data and analyses; in addition, they will share with the community the algorithms, software, protocols, models and technologies used to create the data and analyses. Awardees will assess the experimental and computational approaches used by characterization centers. This may include the specificity, sensitivity, accuracy and generalizability of approaches. It may also include determining the systematic limitations and biases as well as strengths of the approaches. Awardees may identify what is needed to improve future assessments of the role of genetic variation in genome function. This could be a joint effort across characterization centers using the 20% budget reserved for shared work in years 2-5.

Define a data collection strategy for characterization centers and predictive modeling: In the first year, the consortium will work together to establish details of the Consortium’s scientific direction and to plan consortium-wide and component-specific strategies for data collection and analyses for a ramp-up of activities in years 2-5. Budgets will ramp up in years 2-5, consistent with year 1 focusing more on planning and making decisions about research direction of work that will take place in years 2-5. One goal will be the systematic selection of samples and variants. In order to ensure the data and analyses are of maximum utility to the scientific community the program will need to balance the breadth and depth of biology that is sampled by the project to cover as many areas as possible without being spread too thinly. This will require flexibility on the part of the applicants to work on samples that may not have been what they proposed in their applications. Another goal is to systematically apply the methods available to the funded groups across a breadth of samples, and also to have some overlap to compare data from different methods and groups. This will in turn require a high degree of interoperability, likely achieved through common metadata, common data and analysis formats, common quality metrics and data standards, and to the extent practical common analysis methods. A final goal is to produce a data set that can be used for predictive modeling. Thus, there will be a collaboration of at least the characterization centers, the predictive modeling groups and NHGRI staff at the beginning of the project to design an analysis and data generation plan to produce the required data set at the end of the funding period. This will also require ongoing collaboration between these groups as they implement and refine that plan over the funding period.

Assist in generating predictive models for the community: At least in the short term, it is not practical to test large numbers of variants with multiple assays/endpoints in large numbers of biological conditions. A deeper understanding of variant function may be achieved through the development of models that can predict the functional consequences of untested variants. While this will be led by predictive modeling groups, this will be a collaboration including at least the characterization centers, the data and administrative coordinating center (DACC) and NHGRI staff. The primary roles of characterization centers in this effort will be to work with predictive modeling groups to define a data collection strategy, to produce data that can be used for modeling, and to provide capacity to test predictive models in the last year of the project. This could be a joint effort across characterization centers using the 20% budget reserved for shared work.

Improvements in generalizable technologies for high-throughput assays (optional): This FOA is NOT a technology development opportunity; applicants must propose their major data collection based on methods that are ready at the time of funding. However, applicants may propose to use a small portion of their resources (not to exceed 5%) to develop or refine experimental and computational approaches. Refinement of existing assays or development of new orthogonal assays for validation are examples. Technology development under this FOA is limited to approaches for characterization of functional genomic elements that are high-throughput, generalizable across experimental systems and disease, with the potential to implement during the current project period.

Considered non-responsive: Projects with the following properties will be considered non-responsive, and will not be reviewed:

  • Projects that do not test the function of genomic elements or variants.
  • Projects that are primarily developing new experimental methods.
  • Projects that do not use biological systems relevant to human health and disease
  • Mechanistic studies or projects focused on a single disease.
  • Proposed work that does not indicate plans to participate in the ramp-up year and to collaborate with and contribute to consortium-wide, collaborative activities and analyses throughout the course of the project.
Consortium Formation and Responsibilities

This FOA uses the Cooperative Agreement mechanism. Successful applicants will become members of the IGVF Consortium composed of investigators who have been funded in response to at least one of the five related FOAs. Awardees are expected to work collaboratively with all members of the consortium towards meeting consortium goals, in addition to the research goals outlined in their individual applications.

Awardee responsibilities will include:

  • Contributing to the development of a catalog of the impact of genomic variants on genome function and phenotypes.
  • Planning experiments, implementing studies, and analyzing results from within component and consortium-wide projects, typically through working groups.
  • Developing standards and metrics for data, metadata, data quality, and analyses.
  • Contributing all data, metadata, protocols, methodologies, analyses, software, and other products to the DACC and appropriate repositories in specified formats.
  • Sharing best practices and lessons learned within the consortium and with the external community.
  • Following consortium policies on data sharing and publication.
  • Taking part in consortium-wide, Steering Committee, and working group meetings.
  • Contributing to outreach efforts.
  • Collaborating with other consortia and projects.

All investigators will be required to attend a kickoff meeting for the consortium that will take place soon after awards are made. This meeting will be the start of the program's first year activities. A major focus of the first year will be establishing the consortium's scientific direction and interactions within and between components. During this time, a Steering Committee composed of the funded PDs/PIs and NHGRI staff will be established to guide the overall scientific direction of the consortium. The Steering Committee will meet regularly and be complemented by a set of working groups. NHGRI staff will also recruit outside experts (non-awardees) as an External Consultants Panel to provide advice directly to NHGRI. The first year will be used to plan within component and consortium-wide strategies for data collection and analyses for a ramp-up of activities in years 2-5. Awardees will also work together in year 1 to characterize the strengths, synergies, and weaknesses of their proposed approaches. Specific roles for each program component during this ramp-up year are described in the Research Scope and Objectives and Research Plan sections. To allow for flexibility, NHGRI will reserve 10% of the approved funding level in years 2-5 of the consortium and may shift funding from one group to another as dictated by new opportunities.

NHGRI strongly encourages all investigators with innovative ideas aligned with the goals of this FOA to submit applications. NHGRI especially encourages applicants who are new investigators, experienced investigators who are new to genomic science, investigators that have not previously participated in a NHGRI consortium or program, and investigators from demographic groups or institutions that are generally underrepresented in genomic science. Applicants to this FOA can also apply to one or more of the related FOAs. However, when making funding decisions, NHGRI intends to consider whether an applicant will be funded as a PD/PI through the other FOAs and may choose to limit awards from multiple FOAs to encourage participation from a broad representation of the research community.

Informational Webinar

All applicants are strongly encouraged to contact NHGRI Staff to discuss the responsiveness and alignment of their proposed work with the goals of this program. An informational webinar will be held for potential applicants. NIH staff will be available to answer questions related to this FOA. Time, date, and dial in information will be announced in an NIH Guide Notice and will be posted on the NHGRI website: http://www.genome.gov/ . During the webinar, NHGRI staff will present overviews of the FOAs and answer FOA-related questions from prospective applicants. The informational webinar is open to all prospective applicants, but participation is not a prerequisite for submission of an application.

See Section VIII. Other Information for award authorities and regulations.

Section II. Award Information
Funding Instrument

Cooperative Agreement: A support mechanism used when there will be substantial Federal scientific or programmatic involvement. Substantial involvement means that, after award, NIH scientific or program staff will assist, guide, coordinate, or participate in project activities. See Section VI.2 for additional information about the substantial involvement for this FOA.

Application Types Allowed

New

The OER Glossary and the SF424 (R&R) Application Guide provide details on these application types. Only those application types listed here are allowed for this FOA.

Clinical Trial?

Not Allowed: Only accepting applications that do not propose clinical trials

Need help determining whether you are doing a clinical trial?

Funds Available and Anticipated Number of Awards

NHGRI intends to commit up to $7.5 M total costs in FY21 and up to $15 M total costs per year in FY22- FY25 to fund 7-10 awards.

The number of awards is contingent upon NIH appropriations and the submission of a sufficient number of meritorious applications.

Award Budget

Application budgets must reflect the actual needs of the proposed project. In FY21 application budgets are limited to $700,000 direct costs and $1.4M direct costs per year in FY22-FY25.

Award Project Period

The maximum project period is 5 years.

NIH grants policies as described in the NIH Grants Policy Statement will apply to the applications submitted and awards made from this FOA.

Section III. Eligibility Information
1. Eligible Applicants
Eligible Organizations

Higher Education Institutions

  • Public/State Controlled Institutions of Higher Education
  • Private Institutions of Higher Education

The following types of Higher Education Institutions are always encouraged to apply for NIH support as Public or Private Institutions of Higher Education:

o Hispanic-serving Institutions

o Historically Black Colleges and Universities (HBCUs)

o Tribally Controlled Colleges and Universities (TCCUs)

o Alaska Native and Native Hawaiian Serving Institutions

o Asian American Native American Pacific Islander Serving Institutions (AANAPISIs)

Nonprofits Other Than Institutions of Higher Education

  • Nonprofits with 501(c)(3) IRS Status (Other than Institutions of Higher Education)
  • Nonprofits without 501(c)(3) IRS Status (Other than Institutions of Higher Education)

For-Profit Organizations

  • Small Businesses
  • For-Profit Organizations (Other than Small Businesses)

Governments

  • State Governments
  • County Governments
  • City or Township Governments
  • Special District Governments
  • Indian/Native American Tribal Governments (Federally Recognized)
  • Indian/Native American Tribal Governments (Other than Federally Recognized)
  • Eligible Agencies of the Federal Government
  • U.S. Territory or Possession

Other

  • Independent School Districts
  • Public Housing Authorities/Indian Housing Authorities
  • Native American Tribal Organizations (other than Federally recognized tribal governments)
  • Faith-based or Community-based Organizations
  • Regional Organizations
  • Non-domestic (non-U.S.) Entities (Foreign Institutions)
Foreign Institutions

Non-domestic (non-U.S.) Entities (Foreign Institutions) are eligible to apply.
Non-domestic (non-U.S.) components of U.S. Organizations are eligible to apply.
Foreign components, as defined in the NIH Grants Policy Statement, are allowed.

Required Registrations

Applicant Organizations

Applicant organizations must complete and maintain the following registrations as described in the SF 424 (R&R) Application Guide to be eligible to apply for or receive an award. All registrations must be completed prior to the application being submitted. Registration can take 6 weeks or more, so applicants should begin the registration process as soon as possible. The NIH Policy on Late Submission of Grant Applications states that failure to complete registrations in advance of a due date is not a valid reason for a late submission.

  • Dun and Bradstreet Universal Numbering System (DUNS) - All registrations require that applicants be issued a DUNS number. After obtaining a DUNS number, applicants can begin both SAM and eRA Commons registrations. The same DUNS number must be used for all registrations, as well as on the grant application.
  • System for Award Management (SAM) Applicants must complete and maintain an active registration, which requires renewal at least annually. The renewal process may require as much time as the initial registration. SAM registration includes the assignment of a Commercial and Government Entity (CAGE) Code for domestic organizations which have not already been assigned a CAGE Code.
  • o NATO Commercial and Government Entity (NCAGE) Code Foreign organizations must obtain an NCAGE code (in lieu of a CAGE code) in order to register in SAM.
  • eRA Commons - Applicants must have an active DUNS number to register in eRA Commons. Organizations can register with the eRA Commons as they are working through their SAM or Grants.gov registration, but all registrations must be in place by time of submission. eRA Commons requires organizations to identify at least one Signing Official (SO) and at least one Program Director/Principal Investigator (PD/PI) account in order to submit an application.

Grants.gov Applicants must have an active DUNS number and SAM registration in order to complete the Grants.gov registration.

Program Directors/Principal Investigators (PD(s)/PI(s))

All PD(s)/PI(s) must have an eRA Commons account. PD(s)/PI(s) should work with their organizational officials to either create a new account or to affiliate their existing account with the applicant organization in eRA Commons. If the PD/PI is also the organizational Signing Official, they must have two distinct eRA Commons accounts, one for each role. Obtaining an eRA Commons account can take up to 2 weeks.

Eligible Individuals (Program Director/Principal Investigator)

Any individual(s) with the skills, knowledge, and resources necessary to carry out the proposed research as the Program Director(s)/Principal Investigator(s) (PD(s)/PI(s)) is invited to work with his/her organization to develop an application for support. Individuals from underrepresented racial and ethnic groups as well as individuals with disabilities are always encouraged to apply for NIH support.

For institutions/organizations proposing multiple PDs/PIs, visit the Multiple Program Director/Principal Investigator Policy and submission details in the Senior/Key Person Profile (Expanded) Component of the SF424 (R&R) Application Guide.

2. Cost Sharing

This FOA does not require cost sharing as defined in the NIH Grants Policy Statement.

3. Additional Information on Eligibility
Number of Applications

Applicant organizations may submit more than one application, provided that each application is scientifically distinct.

The NIH will not accept duplicate or highly overlapping applications under review at the same time. This means that the NIH will not accept:

  • A new (A0) application that is submitted before issuance of the summary statement from the review of an overlapping new (A0) or resubmission (A1) application.
  • A resubmission (A1) application that is submitted before issuance of the summary statement from the review of the previous new (A0) application.
  • An application that has substantial overlap with another application pending appeal of initial peer review (see NOT-OD-11-101).

Section IV. Application and Submission Information
1. Requesting an Application Package

The application forms package specific to this opportunity must be accessed through ASSIST, Grants.gov Workspace or an institutional system-to-system solution. Links to apply using ASSIST or Grants.gov Workspace are available in Part 1 of this FOA. See your administrative office for instructions if you plan to use an institutional system-to-system solution.

2. Content and Form of Application Submission

It is critical that applicants follow the Research (R) Instructions in the SF424 (R&R) Application Guide, except where instructed in this funding opportunity announcement to do otherwise. Conformance to the requirements in the Application Guide is required and strictly enforced. Applications that are out of compliance with these instructions may be delayed or not accepted for review.

Letter of Intent

Although a letter of intent is not required, is not binding, and does not enter into the review of a subsequent application, the information that it contains allows IC staff to estimate the potential review workload and plan the review.

By the date listed in Part 1. Overview Information, prospective applicants are asked to submit a letter of intent that includes the following information:

  • Descriptive title of proposed activity
  • Name(s), address(es), and telephone number(s) of the PD(s)/PI(s)
  • Names of other key personnel
  • Participating institution(s)
  • Number and title of this funding opportunity

The letter of intent should be sent to:

Mike Pazin, Ph.D.
Telephone: 301-496-7531
Email: [email protected]

Page Limitations

All page limitations described in the SF424 Application Guide and the Table of Page Limits must be followed with the following exceptions or additional requirements.

For this specific FOA, the Research Strategy is limited to 30 pages, exclusive of the specific aims page. The following subsections are recommended:

  • Overview
  • Management plan
  • Selection of genomic variants and/or elements for systematic testing
  • Application genomic perturbation methods and assay the impact on phenotypes
  • Generation of a variant/element/phenotype catalog for the community
  • Enabling future studies
  • Definition of a data collection strategy for characterization centers and predictive modeling
  • Assisting in generating predictive models for the community
  • Improvements in generalizable approaches or technologies for high-throughput assays (optional).
Instructions for Application Submission

The following section supplements the instructions found in the SF424 (R&R) Application Guide and should be used for preparing an application to this FOA.

SF424(R&R) Cover

All instructions in the SF424 (R&R) Application Guide must be followed.

SF424(R&R) Project/Performance Site Locations

All instructions in the SF424 (R&R) Application Guide must be followed.

SF424(R&R) Other Project Information

All instructions in the SF424 (R&R) Application Guide must be followed.

SF424(R&R) Senior/Key Person Profile

All instructions in the SF424 (R&R) Application Guide must be followed.

R&R Budget

All instructions in the SF424 (R&R) Application Guide must be followed.

  • For single PD/PI applications, the PD/PI is expected to devote at least 3 person months, based on a 12-month calendar. If multi-PDs/PIs are proposed, then each PD/PI is expected to commit sufficient time to serve his/her proposed role, with a minimum aggregate PD/PI effort of 3 person months. The appropriateness of the effort of key personnel must be justified in the budget justification.
  • Budgets should include support for a dedicated Project Manager who will devote a minimum of 6 person months, based on a 12-month calendar, to oversee the day-to-day activities of the center, coordinate metadata and data submissions to the DACC, coordinate across center sites, if applicable, and be responsible for promptly providing requested reporting information to NHGRI Program Staff. A PD/PI may serve as the Project Manager.
  • Budgets should include funds for the PD(s)/PI(s) and key personnel to attend the initial consortium kickoff meeting, and for the PD(s)/PI(s) and 2-6 members of the center to attend annual consortium meetings thereafter that start in year 1. Budgets should also include funds in years 1 and 2 for the PD(s)/PI(s) to attend mid-year, in-person Steering Committee meetings.
  • Budgets should include any funds required to support sharing of genomic data under this FOA (e.g., to obtain samples with explicit informed consent for future research use and broad data sharing, or to prepare the data for submission to appropriate repositories).
  • 20% of the direct costs from years 2-5 of the award must be allocated to support shared work with other Mapping Centers and other components in consultation with NHGRI staff. This work is anticipated to further both the needs of the funded centers and the IGVF Consortium.
R&R Subaward Budget

All instructions in the SF424 (R&R) Application Guide must be followed.

PHS 398 Cover Page Supplement

All instructions in the SF424 (R&R) Application Guide must be followed.

PHS 398 Research Plan

All instructions in the SF424 (R&R) Application Guide must be followed, with the following additional instructions:

Specific Aims:

Describe the specific goals of the Characterization Center and its role in achieving the overall objectives of the IGVF Consortium.

Research Strategy:

In the Research Strategy, applicants should propose plans, approaches, and potential alternative strategies for carrying out the goals of the Characterization Center. The Research Strategy should consist of the following subsections uploaded as a single PDF attachment:

  • Overview
  • Management plan
  • Selection of genomic variants and/or elements for systematic testing
  • Application genomic perturbation methods and assay the impact on phenotypes
  • Generation of a variant/element/phenotype catalog for the community
  • Enabling future studies
  • Definition of a data collection strategy for characterization centers and predictive modeling
  • Assisting in generating predictive models for the community
  • Improvements in generalizable approaches or technologies for high-throughput assays (optional).

Overview

Applicants must provide a high-level view of the proposed project, including:

  • The goals of the proposed project
  • Expected outcomes relative to the overall consortium goal of improving our understanding of the relationships between sequence variation and genome function
  • Expected outcomes relative to the overall consortium goal of enabling future functional genomics studies
  • Expected outcomes relative to the FOA goal of generating a variant/element/phenotype catalog for the community
  • Expected outcomes relative to the FOA goal of assisting in generating predictive models for the community
  • Significance.
  • Innovation (either in the overview or the following sections) should explain how the applicants propose to balance using state-of-the-art methods and analyses with the ability to deliver useful data and analyses to the community
  • Approach (either in the overview of the following sections) should describe the intellectual framework used to guide the choice of methods, variants, systems, analyses and ultimately interpretation of results. These projects are intended to be hypotheses generating/discovery science rather than testing specific hypotheses or mechanisms.

Management plan

Applicants should describe the organization of the proposed center and its management structure, including integration of components to maintain efficient operation and key personnel. This plan should include a description of the decision-making process (and the leadership if the project is a collaboration of more than one research group). Personnel responsible for key tasks, such as data collection by data type, data analysis by data type, submission of raw data, processed data, metadata, and analyses, as well as the project manager responsible for day-to-day operations should be identified. The reporting relationship for these personnel should be described. Management of consortia activities should be detailed. Management of other external collaborations, if any, should be described. Applicants should propose quantitative milestones for tracking all aspects of project, metrics for assessing progress, as well as the expected timeline of progress. Mechanisms for reporting progress to NIH should be described (see Terms and Conditions, below). Applicants should propose and describe a LIMS system to track data production, as well as submission of metadata, data (raw and processed) and analyses to the DACC (described in RFA-HG-20-046). A description of the informatics infrastructure for managing data, metadata, analyses, quality control and tracking to support the proposed activities should also be provided. Applicants should provide an overview of sharing protocols, software, data and analyses with the community (details are to be described in the Resource Sharing section). The management plan should discuss past experiences (if any) in working as part of interdisciplinary teams and/or in large collaborative projects. NIH requires all MPI applications to provide a Multiple PD/PI Leadership plan; this may result in some information being reported in more than one location.

Selection of genomic variants and/or elements for systematic testing

Applicants must propose a plan to select genomic variants and/or elements for systematic testing. These projects are intended to be hypotheses generating/discovery science rather than testing specific hypotheses or mechanisms.

Applicants should:

  • Describe the intellectual framework used to guide the selection of variants and/or elements
  • Explain why their approach has high potential to provide data for the catalog that will be indispensable for understanding gene function
  • Explain why their approach has high potential to contribute to learning how best to do future functional genomics studies
  • Explain the rationale for the selected balance of non-coding or protein-coding variants or elements
  • If appropriate, explain the rationale for the selected balance of variants associated with common disease, rare disease, uncharacterized variants and variants not yet observed in nature
  • If appropriate, applicants focusing on disease variants should describe any consideration of diseases disproportionately affecting disadvantaged or under-represented populations
  • If appropriate, explain the rationale for the selected balance of elements that harbor candidate disease association variants, candidate regulatory elements for disease-associated genes, or uncharacterized candidate regulatory elements
  • Describe considerations for balancing testing capacity with obtaining a systematic sampling of variants and/or elements
  • Explain the rationale for the balance of testing variants/elements individually versus in combinations to test interactions
  • As the strategy will be decided by the consortium during the first year (see below), applicants should indicate how they would revise their plan to take into account the consortium strategy.

Application of genomic perturbation methods and assay of the impact on phenotypes

Applicants must propose a plan to apply genomic perturbation methods and collect high quality phenotypic data using one or more robust assays.

This plan should:

  • Describe how high-throughput perturbations will be performed
  • Describe how high-throughput phenotype data will be collected
  • Describe timeline with milestones for data collection throughout the project, such that analysis groups can work on data throughout the project
  • Describe preliminary data, extent of prior use, throughput, sensitivity, specificity and success rate to support the proposed approach(es)
  • Explain the rationale for the choice of assay(s) in relation to the variants/elements and phenotypes being considered
  • Explain the rationale for the proposed balance between the number of samples versus the number of assays per sample
  • Explain the rationale for the biological system(s) used, including the relevance of that system to human health and disease
  • Explain rationale for the choice of phenotype(s) used as experimental observables
  • Explain rationale for balancing throughput and biological relevance
  • Explain how the methods, approach or results could generalize to be applicable beyond the chosen variants, samples or biological systems
  • Describe how high-quality samples with consents appropriate to project will be obtained. NHGRI expects that all human data generated by this NHGRI-funded research project will be derived from specimens or cell lines for which explicit consent for future research use and broad data sharing can be documented (NOT-HG-20-011). Sources with participant consent for unrestricted access are strongly encouraged. Sources consented for General Research Use (GRU) or Health, Medical, and Biomedical (HMB) through a controlled-access environment may also be considered but need to be well justified. Studies should include samples that are derived from individuals of diverse ancestry and allow for consideration of sex as a biological variable
  • Explain how using innovative methods and analyses will be balanced with the ability to reliably deliver large amounts of useful data and analyses to the community'

Generation of a variant/element/phenotype catalog for the community

Applicants must present a proposal to develop a catalog relating variants/elements to phenotypes. This proposed plan must indicate how the catalog would allow the community to interpret the results obtained. This plan must be compatible with the data modalities of the proposed project. Ultimately the consortium will generate a single catalog, rather than each project developing their own catalog. This catalog will be developed collaboratively by the consortium and hosted by the DACC. The implemented plan will be selected by the consortium during the first year, and thus may not match the plan proposed by any applicant.

This plan should:

  • Describe data processing pipelines
  • Describe the rationale for interpreting the results
  • Describe the information to be reported in the catalog
  • Describe the approach to integrating results from different assays, biological systems and phenotypic endpoints
  • Describe how concordant and discordant data will be presented and interpreted, as well as sparse data
  • Describe the use cases for the external community that would be supported by the catalog
  • Describe plans for employing best practices and state of the art technology, including where appropriate, emphasis on data interoperability and scalability of tools, software, and approaches
  • Indicate how they would work with the consortium to achieve consensus for a single catalog, and how they will revise their plan to take into account the consortium strategy.

Definition of a data collection strategy for characterization centers and predictive modeling

Applicants must propose their ideas for a plan to define a data collection strategy for characterization centers and predictive modeling during the first year (prior to collecting data). This plan should describe how characterization centers, predictive modeling groups and NHGRI staff might work collaboratively. The implemented plan will be selected by the consortium during the first year, and thus may not match the plan proposed by any applicant. Applicants should indicate how they would work with the consortium to achieve consensus, and how they will revise their plan to take into account the consortium strategy.

This plan should:

  • Explain the rationale for systematic sample selection to balance exploring as many areas as possible without being spread too thinly
  • Describe how to determine the required extent of overlap to compare assays and phenotypic endpoints
  • Describe how interoperability across assay types and phenotypic measures could be achieved
  • Describe the features that are needed to support predictive modeling efforts, such as a machine learning ready dataset, and how to achieve them
  • Describe areas of flexibility that can be adjusted based on an overall consortium strategy.

Assisting in generating predictive models for the community

Applicants should describe how they will participate in efforts led by predictive modeling groups to generate predictive models for the community. They should briefly describe how they could contribute to a data collection strategy, and indicate their overall capacity (number of samples, types of assays, etc.) to test predictive models and elements from mapping centers in the last year of the project.

Improvements in generalizable approaches or technologies for high-throughput assays (optional)

Though this is NOT a technology development funding opportunity, applicants have the option to propose to use a small portion of their resources to develop and/or refine experimental and/or computational approaches.

If included, this plan should:

  • Explain the potential to implement the technology during the current project period
  • Explain how the technology might complement or replace other methods proposed for the project
  • Describe the expected improvement (throughput, sensitivity, specificity, improved compatibility across biological systems, etc.)
  • Describe the throughput and generalizability of the technology across experimental systems and diseases
  • Describe the potential for other groups to adopt the technology, either within the consortium or the external community
  • Not exceed 5% of the awarded budget.

Resource Sharing Plan: Individuals are required to comply with the instructions for the Resource Sharing Plans as provided in the SF424 (R&R) Application Guide, with the following modification:

  • All applications, regardless of the amount of direct costs requested for any one year, should address a Data Sharing Plan.
  • Resource Sharing Plans are expected for this FOA.
  • In the Resource Sharing Plan, applicants should indicate their willingness to abide by all data deposition, data quality metrics, standards and metrics for data, metadata requirements, and data/software release policies developed by the IGVF Consortium's Steering Committee and approved by NHGRI staff. Awardees are expected to develop such policies as members of the consortium's Steering Committee in collaboration with NHGRI and should indicate their willingness to participate in the development of such policies and to accept them. These policies will remain consistent with NIH and NHGRI policies on data and resource sharing.

Plan for Data Sharing: A key goal of the IGVF Consortium is to build a durable community resource of data, models, and tools designed and built to enable future data exploration and use by humans and computers. Applicants should propose a data sharing plan consistent with this goal that addresses rapid data sharing with the community and describes plans to adhere to the FAIR Guiding principles (Findable, Accessible, Interoperable, Reusable), including:

  • Data and metadata assigned unique and persistent identifiers.
  • Data and metadata retrievable using standardized protocols/APIs.
  • Data pass strict quality metrics.
  • Data have clear provenance.
  • Rich metadata are collected with all data.
  • Wherever possible, community-standard formats, vocabularies, ontologies, quality metrics are used.
  • Plans for sharing protocols and methodologies should be included.

Applicants should discuss the use of human biological samples obtained with consents allowing for future use and broad genomic data sharing. Specifically, applicants should describe previous experience with obtaining samples using consents allowing for unrestricted data sharing or controlled-access data sharing broadly consented, as well as the feasibility of obtaining such consent for biological samples proposed in the research plan. Applicants should indicate their agreement to obtain and use these appropriately consented samples in the proposed studies.

Selection of Biological Samples, Genomic Data and Genomic Data Sharing: In order to maximize the utility of the IGVF Consortium data, all human biological samples to be studied that are derived from specimen or cell line sources are expected to have been obtained using a documented informed consent process that explicitly allows for future research use and broad data sharing (NOT-HG-20-011). Sources with participant consent for unrestricted access is strongly encouraged. Sources consented for sharing through a controlled-access environment, such as General Research Use (GRU) or Health, Medical, and Biomedical (HMB) without additional restrictions, will also be considered and should be well justified. As outlined above, the consent process for human biological samples should be described in the Plan for Data Sharing.

Studies should include samples that are derived from individuals of diverse ancestry and allow for consideration of sex as a biological variable. Applicants should propose study of samples and disease models with consideration of diseases disproportionately affecting disadvantaged or under-represented populations.

Plan for Software and Data Analysis Sharing: NHGRI is also committed to the timely release of open source software and well-documented data analyses including models and tools developed from proposed studies. Applicants should include detailed plans for open dissemination of methods, software, and tools to the community such that they are readily usable and extensible, where applicable. These should be made freely available to biomedical researchers and educators. There is no prescribed license for software produced by applications responding to this announcement, but any software license selected by applicants should allow for unrestricted redistribution and modification of software.

  • Methods, tools, and software should be well-documented and where applicable made available via version-controlled public repositories.
  • Where applicable, applicants should describe solutions for portable implementations.
  • Solutions that enhance reproducibility when used by the community and ability of the community to integrate into automated pipelines should be emphasized.

Plan for Resource Sharing: As the IGVF Consortium is creating a community resource, NHGRI intends that, in addition to data, software, and analyses, any physical resources, such as DNA clones and cell lines, generated by awardees should be made rapidly available to the research community and that resource sharing plans should follow the same principles and spirit as data, software, and analysis release plans. The applicant should provide specific plans for resource sharing and distribution in the application.

After initial review, NHGRI program staff will conduct an additional administrative review of the plans for sharing data, software, data analysis, and resources and may negotiate modifications of these plans with the prospective awardee. The final negotiated version of these plans will become a term and condition of the award of the cooperative agreement.

Appendix:

Only limited Appendix materials are allowed. Follow all instructions for the Appendix as described in the SF424 (R&R) Application Guide.

PHS Human Subjects and Clinical Trials Information

When involving human subjects research, clinical research, and/or NIH-defined clinical trials (and when applicable, clinical trials research experience) follow all instructions for the PHS Human Subjects and Clinical Trials Information form in the SF424 (R&R) Application Guide, with the following additional instructions:

If you answered Yes to the question Are Human Subjects Involved? on the R&R Other Project Information form, you must include at least one human subjects study record using the Study Record: PHS Human Subjects and Clinical Trials Information form or Delayed Onset Study record.

Study Record: PHS Human Subjects and Clinical Trials Information

All instructions in the SF424 (R&R) Application Guide must be followed.

Delayed Onset Study

Note: Delayed onset does NOT apply to a study that can be described but will not start immediately (i.e., delayed start).

All instructions in the SF424 (R&R) Application Guide must be followed.

PHS Assignment Request Form

All instructions in the SF424 (R&R) Application Guide must be followed.

3. Unique Entity Identifier and System for Award Management (SAM)

See Part 1. Section III.1 for information regarding the requirement for obtaining a unique entity identifier and for completing and maintaining active registrations in System for Award Management (SAM), NATO Commercial and Government Entity (NCAGE) Code (if applicable), eRA Commons, and Grants.gov

4. Submission Dates and Times

Part I. Overview Information contains information about Key Dates and times. Applicants are encouraged to submit applications before the due date to ensure they have time to make any application corrections that might be necessary for successful submission. When a submission date falls on a weekend or Federal holiday, the application deadline is automatically extended to the next business day.

Organizations must submit applications to Grants.gov (the online portal to find and apply for grants across all Federal agencies). Applicants must then complete the submission process by tracking the status of the application in the eRA Commons, NIH’s electronic system for grants administration. NIH and Grants.gov systems check the application against many of the application instructions upon submission. Errors must be corrected and a changed/corrected application must be submitted to Grants.gov on or before the application due date and time. If a Changed/Corrected application is submitted after the deadline, the application will be considered late. Applications that miss the due date and time are subjected to the NIH Policy on Late Application Submission.

Applicants are responsible for viewing their application before the due date in the eRA Commons to ensure accurate and successful submission.

Information on the submission process and a definition of on-time submission are provided in the SF424 (R&R) Application Guide.

5. Intergovernmental Review (E.O. 12372)

This initiative is not subject to intergovernmental review.

6. Funding Restrictions

All NIH awards are subject to the terms and conditions, cost principles, and other considerations described in the NIH Grants Policy Statement.

Pre-award costs are allowable only as described in the NIH Grants Policy Statement.

7. Other Submission Requirements and Information

Applications must be submitted electronically following the instructions described in the SF424 (R&R) Application Guide. Paper applications will not be accepted.

Applicants must complete all required registrations before the application due date. Section III. Eligibility Information contains information about registration.

For assistance with your electronic application or for more information on the electronic submission process, visit How to Apply Application Guide. If you encounter a system issue beyond your control that threatens your ability to complete the submission process on-time, you must follow the Dealing with System Issues guidance. For assistance with application submission, contact the Application Submission Contacts in Section VII.

Important reminders:

All PD(s)/PI(s) must include their eRA Commons ID in the Credential field of the Senior/Key Person Profile Component of the SF424(R&R) Application Package. Failure to register in the Commons and to include a valid PD/PI Commons ID in the credential field will prevent the successful submission of an electronic application to NIH. See Section III of this FOA for information on registration requirements.

The applicant organization must ensure that the DUNS number it provides on the application is the same number used in the organization s profile in the eRA Commons and for the System for Award Management. Additional information may be found in the SF424 (R&R) Application Guide.

See more tips for avoiding common errors.

Upon receipt, applications will be evaluated for completeness and compliance with application instructions by the Center for Scientific Review and responsiveness by components of participating organizations, NIH. Applications that are incomplete, non-compliant and/or nonresponsive will not be reviewed.

Post Submission Materials

Applicants are required to follow the instructions for post-submission materials, as described in the policy. Any instructions provided here are in addition to the instructions in the policy.

Section V. Application Review Information
1. Criteria

Only the review criteria described below will be considered in the review process.

Applications submitted to the NIH in support of the NIH mission are evaluated for scientific and technical merit through the NIH peer review system.

Overall Impact

Reviewers will provide an overall impact score to reflect their assessment of the likelihood for the project to exert a sustained, powerful influence on the research field(s) involved, in consideration of the following review criteria and additional review criteria (as applicable for the project proposed).

Scored Review Criteria

Reviewers will consider each of the review criteria below in the determination of scientific merit, and give a separate score for each. An application does not need to be strong in all categories to be judged likely to have major scientific impact. For example, a project that by its nature is not innovative may be essential to advance a field.

Significance

Does the project address an important problem or a critical barrier to progress in the field? Is the prior research that serves as the key support for the proposed project rigorous? If the aims of the project are achieved, how will scientific knowledge, technical capability, and/or clinical practice be improved? How will successful completion of the aims change the concepts, methods, technologies, treatments, services, or preventative interventions that drive this field?

Specific to this FOA:

Will the proposed project contribute to the consortium goals of assessing the impact of genomic variation on genome function and phenotype?

Will the proposed project generate data and analyses that will be of high utility to the research community?

Will the proposed project contribute to learning how best to do future functional genomics studies?

Investigator(s)

Are the PD(s)/PI(s), collaborators, and other researchers well suited to the project? If Early Stage Investigators or those in the early stages of independent careers, do they have appropriate experience and training? If established, have they demonstrated an ongoing record of accomplishments that have advanced their field(s)? If the project is collaborative or multi-PD/PI, do the investigators have complementary and integrated expertise; are their leadership approach, governance and organizational structure appropriate for the project?

Specific to this FOA:

Has the team demonstrated a track record in interdisciplinary research and/or team science?

Has adequate leadership for the day-to-day project management activities (e.g., a project manager or sufficient PD(s)/PI(s) effort) been described? Does the management plan clearly describe how the effort will be managed? Are there clearly described roles and reporting relationships for key personnel?

Does the applicant indicate a willingness to work with other centers and participate in Consortium activities?

Innovation

Does the application challenge and seek to shift current research or clinical practice paradigms by utilizing novel theoretical concepts, approaches or methodologies, instrumentation, or interventions? Are the concepts, approaches or methodologies, instrumentation, or interventions novel to one field of research or novel in a broad sense? Is a refinement, improvement, or new application of theoretical concepts, approaches or methodologies, instrumentation, or interventions proposed?

Approach

Are the overall strategy, methodology, and analyses well-reasoned and appropriate to accomplish the specific aims of the project? Have the investigators included plans to address weaknesses in the rigor of prior research that serves as the key support for the proposed project? Have the investigators presented strategies to ensure a robust and unbiased approach, as appropriate for the work proposed? Are potential problems, alternative strategies, and benchmarks for success presented? If the project is in the early stages of development, will the strategy establish feasibility and will particularly risky aspects be managed? Have the investigators presented adequate plans to address relevant biological variables, such as sex, for studies in vertebrate animals or human subjects?

Specific to this FOA:

Does the proposed approach provide a plan that will achieve the stated goals of: selecting genomic variants and/or elements for systematic testing; applying genomic perturbation methods and assay the impact on biologically relevant phenotypes and generating a variant/element/phenotype catalog for the community?

Does the proposed approach include elements that will enable others to perform related studies using these approaches; define a data collection strategy for predictive modeling and assist in generating predictive models? Is the approach generalizable to diseases and biological processes other than those proposed?

Are the proposed assay(s) high-throughput, cost effective and state-of-the-art, and capable of producing high quality data?

Is the informatics infrastructure described adequate to support proposed analyses, and data deposition requirements?

Are the plans for quality assessment and quality control reasonable and adequate?

Are the milestones, timelines and goals proposed for the research project reasonable and realistic?

Are there reasonable and appropriate plans to work with the consortium to achieve consensus on collaborative efforts and to take into account consortium strategy over the course of the project?

If the project involves human subjects and/or NIH-defined clinical research, are the plans to address

1) the protection of human subjects from research risks, and

2) inclusion (or exclusion) of individuals on the basis of sex/gender, race, and ethnicity, as well as the inclusion or exclusion of individuals of all ages (including children and older adults), justified in terms of the scientific goals and research strategy proposed?

Environment

Will the scientific environment in which the work will be done contribute to the probability of success? Are the institutional support, equipment and other physical resources available to the investigators adequate for the project proposed? Will the project benefit from unique features of the scientific environment, subject populations, or collaborative arrangements?

Additional Review Criteria

As applicable for the project proposed, reviewers will evaluate the following additional items while determining scientific and technical merit, and in providing an overall impact score, but will not give separate scores for these items.

Protections for Human Subjects

For research that involves human subjects but does not involve one of the categories of research that are exempt under 45 CFR Part 46, the committee will evaluate the justification for involvement of human subjects and the proposed protections from research risk relating to their participation according to the following five review criteria: 1) risk to subjects, 2) adequacy of protection against risks, 3) potential benefits to the subjects and others, 4) importance of the knowledge to be gained, and 5) data and safety monitoring for clinical trials.

For research that involves human subjects and meets the criteria for one or more of the categories of research that are exempt under 45 CFR Part 46, the committee will evaluate: 1) the justification for the exemption, 2) human subjects involvement and characteristics, and 3) sources of materials. For additional information on review of the Human Subjects section, please refer to the Guidelines for the Review of Human Subjects.

Inclusion of Women, Minorities, and Individuals Across the Lifespan

When the proposed project involves human subjects and/or NIH-defined clinical research, the committee will evaluate the proposed plans for the inclusion (or exclusion) of individuals on the basis of sex/gender, race, and ethnicity, as well as the inclusion (or exclusion) of individuals of all ages (including children and older adults) to determine if it is justified in terms of the scientific goals and research strategy proposed. For additional information on review of the Inclusion section, please refer to the Guidelines for the Review of Inclusion in Clinical Research.

Vertebrate Animals

The committee will evaluate the involvement of live vertebrate animals as part of the scientific assessment according to the following criteria: (1) description of proposed procedures involving animals, including species, strains, ages, sex, and total number to be used; (2) justifications for the use of animals versus alternative models and for the appropriateness of the species proposed; (3) interventions to minimize discomfort, distress, pain and injury; and (4) justification for euthanasia method if NOT consistent with the AVMA Guidelines for the Euthanasia of Animals. Reviewers will assess the use of chimpanzees as they would any other application proposing the use of vertebrate animals. For additional information on review of the Vertebrate Animals section, please refer to the Worksheet for Review of the Vertebrate Animal Section.

Biohazards

Reviewers will assess whether materials or procedures proposed are potentially hazardous to research personnel and/or the environment, and if needed, determine whether adequate protection is proposed.

Resubmissions

Not Applicable

Renewals

Not Applicable

Revisions

Not Applicable

Additional Review Considerations

As applicable for the project proposed, reviewers will consider each of the following items, but will not give scores for these items, and should not consider them in providing an overall impact score.

Applications from Foreign Organizations

Reviewers will assess whether the project presents special opportunities for furthering research programs through the use of unusual talent, resources, populations, or environmental conditions that exist in other countries and either are not readily available in the United States or augment existing U.S. resources.

Select Agent Research

Reviewers will assess the information provided in this section of the application, including 1) the Select Agent(s) to be used in the proposed research, 2) the registration status of all entities where Select Agent(s) will be used, 3) the procedures that will be used to monitor possession use and transfer of Select Agent(s), and 4) plans for appropriate biosafety, biocontainment, and security of the Select Agent(s).

Resource Sharing Plans

Reviewers will comment on whether the following Resource Sharing Plans, or the rationale for not sharing the following types of resources, are reasonable: (1) Data Sharing Plan; (2) Sharing Model Organisms; and (3) Genomic Data Sharing Plan (GDS). Examples of resources to share could include but are not limited to: protocols and methodologies; tools; model organisms; metadata; and human specimens and cell lines.

Authentication of Key Biological and/or Chemical Resources:

For projects involving key biological and/or chemical resources, reviewers will comment on the brief plans proposed for identifying and ensuring the validity of those resources.

Budget and Period of Support

Reviewers will consider whether the budget and the requested period of support are fully justified and reasonable in relation to the proposed research.

2. Review and Selection Process

Applications will be evaluated for scientific and technical merit by (an) appropriate Scientific Review Group(s) convened by NHGRI, in accordance with NIH peer review policy and procedures, using the stated review criteria. Assignment to a Scientific Review Group will be shown in the eRA Commons.

As part of the scientific peer review, all applications:

  • May undergo a selection process in which only those applications deemed to have the highest scientific and technical merit (generally the top half of applications under review) will be discussed and assigned an overall impact score.
  • Will receive a written critique.

Appeals of initial peer review will not be accepted for applications submitted in response to this FOA.

Applications will be assigned on the basis of established PHS referral guidelines to the appropriate NIH Institute or Center. Applications will compete for available funds with all other recommended applications submitted in response to this FOA. Following initial peer review, recommended applications will receive a second level of review by the National Advisory Council for Human Genome Research (NACHGR). The following will be considered in making funding decisions:

  • Scientific and technical merit of the proposed project as determined by scientific peer review.
  • Availability of funds.
  • Relevance of the proposed project to program priorities.
  • Programmatic balance, including a diversity of experimental assays, throughput and capacity of the approaches
  • Potential to work effectively in large collaborative efforts or research consortia, which may be based on previous experience with NIH-funded research consortia, if applicable
  • Adequacy of data sharing, software and analysis sharing and resource sharing plans
  • Synergy with other funded projects and program balance
  • Expansion of the community of genomic science to include new investigators, experienced investigators who are new to this field, and investigators from demographic groups or institutions that are generally underrepresented in genomic science
  • Inclusion of new investigators and experienced investigators that are new to NHGRI consortia
  • Whether an applicant will be funded as a PD/PI through the other FOAs in the IGVF Consortium to encourage participation from a broader representation of the research community
3. Anticipated Announcement and Award Dates

After the peer review of the application is completed, the PD/PI will be able to access his or her Summary Statement (written critique) via the eRA Commons. Refer to Part 1 for dates for peer review, advisory council review, and earliest start date.

Information regarding the disposition of applications is available in the NIH Grants Policy Statement.

Section VI. Award Administration Information
1. Award Notices

If the application is under consideration for funding, NIH will request "just-in-time" information from the applicant as described in the NIH Grants Policy Statement.

A formal notification in the form of a Notice of Award (NoA) will be provided to the applicant organization for successful applications. The NoA signed by the grants management officer is the authorizing document and will be sent via email to the grantee’s business official.

Awardees must comply with any funding restrictions described in Section IV.5. Funding Restrictions. Selection of an application for award is not an authorization to begin performance. Any costs incurred before receipt of the NoA are at the recipient's risk. These costs may be reimbursed only to the extent considered allowable pre-award costs.

Any application awarded in response to this FOA will be subject to terms and conditions found on the Award Conditions and Information for NIH Grants website. This includes any recent legislation and policy applicable to awards that is highlighted on this website.

After the initial NIH peer review of a grant application, NHGRI program staff will conduct an additional administrative review of the Resource Sharing Plan, including the Plan for Sharing Data and Genomic Data and may negotiate modifications with the prospective awardee to ensure it is consistent with the principles stated above. The final negotiated version of the Plan for Sharing Data and Genomic Data will become a term and condition of the award of this FOA per the NIH GDS Policy.

The PD/PI grantees will have the primary responsibility for sharing research results according to the NIH Genomic Data Sharing Policy, NHGRI-specific data sharing expectations (if applicable) and any other data sharing policy or plan agreed to between the NIH and the applicant.

2. Administrative and National Policy Requirements

All NIH grant and cooperative agreement awards include the NIH Grants Policy Statement as part of the NoA. For these terms of award, see the NIH Grants Policy Statement Part II: Terms and Conditions of NIH Grant Awards, Subpart A: General and Part II: Terms and Conditions of NIH Grant Awards, Subpart B: Terms and Conditions for Specific Types of Grants, Grantees, and Activities. More information is provided at Award Conditions and Information for NIH Grants.

Recipients of federal financial assistance (FFA) from HHS must administer their programs in compliance with federal civil rights laws that prohibit discrimination on the basis of race, color, national origin, disability, age and, in some circumstances, religion, conscience, and sex. This includes ensuring programs are accessible to persons with limited English proficiency. The HHS Office for Civil Rights provides guidance on complying with civil rights laws enforced by HHS. Please see https://www.hhs.gov/civil-rights/for-providers/provider-obligations/index.html and http://www.hhs.gov/ocr/civilrights/understanding/section1557/index.html.

HHS recognizes that research projects are often limited in scope for many reasons that are nondiscriminatory, such as the principal investigator s scientific interest, funding limitations, recruitment requirements, and other considerations. Thus, criteria in research protocols that target or exclude certain populations are warranted where nondiscriminatory justifications establish that such criteria are appropriate with respect to the health or safety of the subjects, the scientific study design, or the purpose of the research. For additional guidance regarding how the provisions apply to NIH grant programs, please contact the Scientific/Research Contact that is identified in Section VII under Agency Contacts of this FOA.

Please contact the HHS Office for Civil Rights for more information about obligations and prohibitions under federal civil rights laws at https://www.hhs.gov/ocr/about-us/contact-us/index.html or call 1-800-368-1019 or TDD 1-800-537-7697.

In accordance with the statutory provisions contained in Section 872 of the Duncan Hunter National Defense Authorization Act of Fiscal Year 2009 (Public Law 110-417), NIH awards will be subject to the Federal Awardee Performance and Integrity Information System (FAPIIS) requirements. FAPIIS requires Federal award making officials to review and consider information about an applicant in the designated integrity and performance system (currently FAPIIS) prior to making an award. An applicant, at its option, may review information in the designated integrity and performance systems accessible through FAPIIS and comment on any information about itself that a Federal agency previously entered and is currently in FAPIIS. The Federal awarding agency will consider any comments by the applicant, in addition to other information in FAPIIS, in making a judgement about the applicant’s integrity, business ethics, and record of performance under Federal awards when completing the review of risk posed by applicants as described in 45 CFR Part 75.205 Federal awarding agency review of risk posed by applicants. This provision will apply to all NIH grants and cooperative agreements except fellowships.

Cooperative Agreement Terms and Conditions of Award

The following special terms of award are in addition to, and not in lieu of, otherwise applicable U.S. Office of Management and Budget (OMB) administrative guidelines, U.S. Department of Health and Human Services (DHHS) grant administration regulations at 45 CFR Part 75, and other HHS, PHS, and NIH grant administration policies.

The administrative and funding instrument used for this award will be managed as a cooperative agreement, an "assistance" mechanism (rather than an "acquisition" mechanism), in which substantial NIH programmatic involvement with the awardees is anticipated during the performance of the activities. Under the cooperative agreement, the NIH purpose is to support and stimulate the recipients' activities by involvement in and otherwise working jointly with the award recipients in a partnership role; it is not to assume direction, prime responsibility, or a dominant role in the activities. Consistent with this concept, the dominant role and prime responsibility resides with awardee. Specific tasks and activities may be shared among the awardees within the consortium and the NHGRI staff as defined below.

The PD(s)/PI(s) will have the primary responsibility for:

  • Determining research approaches, designing protocols, setting project milestones and timelines, providing milestone revisions as requested to NHGRI, and conducting research.
  • Ensuring that the genomic data, and other types of data, software, resources, materials, etc. produced as part of this project are released appropriately according to the final negotiated version of the Resource Sharing Plan, IGVF Consortium policies, and NIH policies.
  • Serving as a member of the IGVF Consortium Steering Committee.
  • Adhering to policies regarding standardized formats; timely publication of abstracts, presentations and publications; and intellectual property established by the NIH, NHGRI, and the Steering Committee (SC).
  • Not disclosing confidential information.
  • Interacting with other relevant NHGRI and NIH activities, as needed, to promote synergy and consistency among similar or related projects.
  • Adopting a perspective prioritizing diversity in human genomics, emphasizing the use of samples that are derived from individuals of diverse ancestry, allow for consideration of sex as a biological variable, and allow for the consideration of applications to diseases disproportionately affecting disadvantaged or under-represented populations.
  • The PD/PI and his/her staff will be required to fully participate in a cooperative, interactive, and collaborative manner with NIH staff, IGVF Consortium investigators, and one another.
  • Collaborating with the Data and Administrative Coordinating Center (DACC). Awardees that are part of a consortium will work collaboratively with a DACC that is tasked with a variety of roles, such as: ensuring that the products are the highest quality; developing standards; disseminating information; providing logistics, outreach and training, etc. In order for the collaboration to be effective, PDs/PIs are responsible for:
  • Ensuring that the awardee receives the appropriate approvals for sharing data between the DACC and data repositories approved by the consortium and NHGRI. Examples could be AnVIL, dbGaP, GEO, and ClinVar and other appropriate public databases.
  • Transferring, in a timely manner, of detailed (sequence, variant, other genomic, functional, phenotypic, , etc.) and related data and metadata, as appropriate, to the DACC, using agreed-upon formats and processes, to facilitate dissemination of data more broadly through databases such as AnVIL, dbGaP, GEO or ClinVar, and other appropriate databases.
  • Collaborating with the DACC to establish data formats and standards, to track and document collaborations and incoming samples, report findings, etc.
  • Fully disclosing data, analyses, algorithms, software source code, and experimental methods to the other members of the consortium for the purpose of scientific evaluation and use by other consortium members.
  • Submitting periodic progress reports in a standard format, including metrics of the use and impact on the community, agreed on with the NHGRI Project Scientist/Scientific Officer (PS/SO).
  • Providing reports, summary statistics, and data, as appropriate, in a timely fashion as agreed upon by the PS/SO.
  • Assessing and disseminating data, protocols, consent materials, methods, analyses, research resources, software, and tools developed for or derived from the DACC within and outside the consortium, as appropriate and according to the release policies developed for and by this project.
  • Abiding by common definitions, protocols, and procedures.
  • Attending and participating in SC and other working group meetings and accepting and implementing decisions made by the SC.

Consistent with 45 C.F.R. 75.322, the awardee will own the data and software developed under this award and be able to continue to use these data and software upon expiration or termination of the award. NIH will have unrestricted access to and use of the data and software, including the right to transfer them to other resource projects for their use, distribution, and integration with other data. NIH expects that the awardee will grant other resources the ability to use and redistribute the data, including integrating the data with other datasets, without restriction, unless otherwise limited by consent requirements.

NHGRI staff have substantial programmatic involvement that is above and beyond the normal stewardship role in awards, as described below:

The Project Scientist/Scientific Officer (PS/SO) at NHGRI is a dual role held by a NHGRI Program Director. In the Project Scientist role, the Program Director will have substantial scientific and programmatic involvement during the conduct of this activity through technical assistance, advice, and coordination. In the Scientific Officer role, the Program Director will be responsible for the normal scientific and programmatic stewardship of the award and manages concerns about bias as it affects the project. The role of NHGRI PS/SO will be to facilitate and not to direct the activities. The PS/SO will be named in the Notice of Award.

The PS/SO will have the following substantial involvement:

  • Serving as a liaison, helping to coordinate activities among and for the awardees, including acting as a liaison to the NHGRI and as an information resource for the awardees about genome research activities. The PS/SO will also coordinate the efforts of the awardee(s) with other groups conducting similar studies.
  • Negotiate milestones, e.g., throughput, quality, and biological samples with the awardees, as necessary.
  • Participate in data analyses, interpretations, and, where warranted, co-authorship of the publication of results of studies conducted through the IGVF Consortium.
  • Participate with the other SC members in the group process of setting research priorities, deciding optimal research approaches and protocol designs, and contributing to the adjustment of research protocols or approaches as warranted.
  • Reporting periodically on the progress of the awardees to the NHGRI Director and to the National Advisory Council for Human Genome Research.
  • Assisting awardee(s) in the development, if needed, of policies for dealing with situations that require coordinated action.
  • Providing advice on the management and technical performance of the award.
  • Assisting in promoting the availability of the data and related resources developed in the course of the award to the scientific community.
  • Being responsible for the normal scientific and programmatic stewardship of the award, including assessments of how well the awardee has met any milestones required for each year of funding.
  • Curtailing, withholding or reducing support for any awardee that fails to make sufficient progress toward the work scope that NHGRI approved, has ethical or conflict of interest issues, or fails to comply with the Terms and Conditions of Award.
  • Involving NIH or NHGRI staff who may assist the awardee(s) as designated by the PS/SO.

External Scientific Panel (ESP): The NHGRI PS/SO may engage external scientists with relevant scientific and consortium experience, who are not funded as part of the project and who agree to a confidentiality policy, to provide input and advice to the NHGRI PS/SO about the project. The PS/PO will appoint scientists to the ESP and will determine the durations of service. Activities of the ESP could include:

  • Participating, as appropriate, in consortium meetings, Steering Committees calls, and the annual awardees' meetings; a subset of ESP members may also meet remotely at other times during the project period, as needed.
  • Reviewing and evaluating the progress of awardees (individually or as a group) in achieving the goals of the project.
  • Recommending changes in priorities based on scientific advances within and outside the consortium;
  • Providing individual recommendations regarding any changes in the project or grant(s) as necessary.

The PS/SO will use recommendations from the ESP to make project changes, as appropriate.

Areas of Joint Responsibility:

Close interaction between the participating awardee(s) and the PS/SO will be required, to manage, assess, and implement activities towards the common goals of the consortium. This is accomplished by:

  • Meeting monthly for conference calls to share information on data resources, methodologies, analytical tools, data analyses, preliminary results, etc.
  • Establishing best practices for data integration and collaborative analyses as appropriate.
  • Setting research priorities, deciding optimal research approaches and protocol designs, and contributing to the adjustment of research protocols or approaches as warranted.
  • Generating responses to ESP recommendations.

The PS/SO will assist and facilitate the group process and not direct it.

  • Steering Committee (SC): The SC will be the main governing body of the consortium. The purpose of the SC will be to recommend directions for a consortium consistent with achieving the project goals, develop consortium policies to build synergy and improve communication and collaboration between the projects, and to provide a forum for discussing progress, challenges and opportunities for the consortium.
  • The SC will convene for monthly conference calls and twice per year in-person meetings in the first two years, and monthly conference calls and one time per year in-person meetings in years 3-5 to share information on data resources, methodologies, analytical tools, data analyses, preliminary results, etc. As needed, additional meetings of the SC, working groups and consortium members will be determined by the SC.
  • The SC will be composed of one representative from each of the grants awarded in the consortium. Each PD/PI will decide who will be its representative. Multi-PI grants will have one representative. Each representative will have one vote; The PS/SO will be a voting member. Other designated NIH staff, External Program Consultants, or other designated participants may attend the SC meetings on a regular or ad-hoc basis, but will be ex officio (non-voting) members.
  • The SC will develop its own operating procedures.
  • The SC may establish working groups to oversee the development and implementation of consortium policies including data and software releases, publications and standards, etc. Working groups may be either permanent or time limited, may include additional experts, depending on the needs of the research.
  • The PD(s)/PI(s) will be expected to play an active role in these working groups, as appropriate.
  • It is expected that most of the decisions on the activities of the SC will be reached by consensus.
  • NIH staff will review and approve policies developed by the SC.
  • Awardees will be required to accept and implement policies approved by the SC.

Dispute Resolution:

Any disagreements that may arise in scientific or programmatic matters (within the scope of the award) between award recipients and the NHGRI may be addressed by convening a Dispute Resolution Panel. It will be composed of three members: a designee of the SC chosen without NIH staff voting, one NIH designee, and a third designee with expertise in the relevant area who is chosen by the other two; in the case of disagreement for one award, the first member may be chosen by that awardee. This special dispute resolution procedure does not alter the awardee's right to appeal an adverse action that is otherwise appealable in accordance with PHS regulation 42 CFR Part 50, Subpart D and DHHS regulation 45 CFR Part 16.

3. Reporting

When multiple years are involved, awardees will be required to submit the Research Performance Progress Report (RPPR) annually and financial statements as required in the NIH Grants Policy Statement.

A final RPPR, invention statement, and the expenditure data portion of the Federal Financial Report are required for closeout of an award, as described in the NIH Grants Policy Statement.

The Federal Funding Accountability and Transparency Act of 2006 (Transparency Act), includes a requirement for awardees of Federal grants to report information about first-tier subawards and executive compensation under Federal assistance awards issued in FY2011 or later. All awardees of applicable NIH grants and cooperative agreements are required to report to the Federal Subaward Reporting System (FSRS) available at www.fsrs.gov on all subawards over $25,000. See the NIH Grants Policy Statement for additional information on this reporting requirement.

In accordance with the regulatory requirements provided at 45 CFR 75.113 and Appendix XII to 45 CFR Part 75, recipients that have currently active Federal grants, cooperative agreements, and procurement contracts from all Federal awarding agencies with a cumulative total value greater than $10,000,000 for any period of time during the period of performance of a Federal award, must report and maintain the currency of information reported in the System for Award Management (SAM) about civil, criminal, and administrative proceedings in connection with the award or performance of a Federal award that reached final disposition within the most recent five-year period. The recipient must also make semiannual disclosures regarding such proceedings. Proceedings information will be made publicly available in the designated integrity and performance system (currently FAPIIS). This is a statutory requirement under section 872 of Public Law 110-417, as amended (41 U.S.C. 2313). As required by section 3010 of Public Law 111-212, all information posted in the designated integrity and performance system on or after April 15, 2011, except past performance reviews required for Federal procurement contracts, will be publicly available. Full reporting requirements and procedures are found in Appendix XII to 45 CFR Part 75 Award Term and Conditions for Recipient Integrity and Performance Matters.

Section VII. Agency Contacts

We encourage inquiries concerning this funding opportunity and welcome the opportunity to answer questions from potential applicants.

Application Submission Contacts

eRA Service Desk (Questions regarding ASSIST, eRA Commons, application errors and warnings, documenting system problems that threaten submission by the due date, and post-submission issues)

Finding Help Online: http://grants.nih.gov/support/ (preferred method of contact)
Telephone: 301-402-7469 or 866-504-9552 (Toll Free)

General Grants Information (Questions regarding application instructions, application processes, and NIH grant resources)
Email: [email protected] (preferred method of contact)
Telephone: 301-945-7573

Grants.gov Customer Support (Questions regarding Grants.gov registration and Workspace)
Contact Center Telephone: 800-518-4726
Email: [email protected]

Scientific/Research Contact(s)

Mike Pazin, Ph.D.
National Human Genome Research Institute (NHGRI)
Telephone: 301-496-7531
Email: [email protected]

Peer Review Contact(s)

Rudy Pozzatti, Ph.D.
National Human Genome Research Institute (NHGRI)
Telephone: 301-402-8739
Email: [email protected]

Financial/Grants Management Contact(s)

Anneliese Galczynski
National Human Genome Research Institute (NHGRI)
Telephone: 301-443-4935
Email: [email protected]

Section VIII. Other Information

Recently issued trans-NIH policy notices may affect your application submission. A full list of policy notices published by NIH is provided in the NIH Guide for Grants and Contracts. All awards are subject to the terms and conditions, cost principles, and other considerations described in the NIH Grants Policy Statement.

Authority and Regulations

Awards are made under the authorization of Sections 301 and 405 of the Public Health Service Act as amended (42 USC 241 and 284) and under Federal Regulations 42 CFR Part 52 and 45 CFR Part 75.

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