Part 1. Overview Information

Key Dates

All applications are due by 5:00 PM local time of applicant organization.

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.

It is critical that applicants follow the instructions in 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 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.

Part 2. Full Text of Announcement

Section I. Funding Opportunity Description

This Funding Opportunity Announcement (FOA), RFA-HG-22-010, invites applications to participate as the Data Analysis and Coordination Center (DACC) for the Multi-Omics for Health and Disease Consortium. In collaboration with Disease Study Sites (DSS, RFA-HG-22-008) and Omics Production Center(s) (OPC(s), RFA-HG-22-009), the Consortium will aim to advance the application of multi-omic technologies to study health and disease in ancestrally diverse populations. By leveraging clinical conditions where multi-omic approaches are expected to be most informative, this Consortium will:

1) explore the use of multi-omics, integrated with phenotypic and environmental exposure data, including social determinants of health (SDOH), to detect and assess molecular profiles associated with healthy and disease states;

2) leverage these association studies to develop generalizable data harmonization, integration, and analysis methods, as well as best practices and standards for the optimal application of multi-omics; and

3) create a multi-dimensional dataset that is available to the research community.

While this program may provide some insights into disease etiology, its primary goal is to validate and enhance generalizable multi-omic approaches to identify meaningful biological changes related to health or disease.

Definitions. For the purposes of this FOA, the following definitions are used:

• Ancestrally diverse populations refers to study populations with a diversity of genetic ancestries, with a focus on individuals expected to have genetic ancestries currently understudied in genomic research.
• Community engagement , as defined by the National Institutes of Health Director’s Council of Public Representatives, refers to a process of inclusive participation that supports mutual respect of values, strategies, and actions.

• Consortium refers to the Multi-Omics in Health and Disease Consortium comprising the grants to be funded under this FOA and RFA-HG-22-008 and RFA-HG-22-009, unless otherwise indicated.
• Environmental exposure data refers to any information collected or used in the project related to a person’s exposures to chemical, biological, or physical substances found in air, water, food, or soil, and the SDOH relevant to the understanding and promotion of an individual’s health.
• Genetic Ancestry , as noted by as noted by Peterson et al. 2019, refers to estimates from DNA that provide information about shared demographic history at the population level.
• High throughput technologies refers to technologies, often involving large-scale assays and automation, that allow the accurate and simultaneous analysis of large quantities of molecules, such as genes, proteins, and metabolites.
• Molecular profile refers to a characteristic pattern of multi-omic data associated with a healthy or disease state or condition.
• Multi-omics refers to a systems biology investigative approach involving multiple omics data types, such as genomics, epigenomics, transcriptomics, proteomics, and metabolomics.
• Phenotypic information refers to a participant's non-genetic information such as demographic information, personal medical history, family health history, and physical and laboratory measurements.
• Social determinants of health (SDOH) refers to the conditions in the environments where people are born, live, learn, work, play, worship, and age that affect a wide range of health, functioning, and quality-of-life outcomes and risks.

Background and Objectives

Expansions in high-throughput technologies have increased access to molecular (or omic) data generated from distinct components of a biological network, such as genomic, epigenomic, transcriptomic, proteomic, and metabolomic measures. While single omic analyses have produced valuable insights, recent studies have shown that integrative (or multi-omic) analysis approaches can improve the classification of disease into clinically relevant subgroups and potentially identify biomarkers of health or predictors of disease progression. Multi-omic analyses can also help define relationships among omic data types to unravel biological networks regulating transitions from health to disease.

Despite some successes by NIH-funded programs in producing large multi-omics datasets, critical gaps prevent the routine application of multi-omics to disease studies. Production and standardization of multiple data types from the same sample remain key challenges, including inter- and intra- ome variability, non-uniform content across platforms and assays, and lack of consensus regarding quality assessment approaches and practices to account for missing data (e.g., imputation). Computational methods remain underdeveloped to integrate, analyze, and interpret 1) multiple omes from the same sample, 2) multi-omic data combined with phenotypic and environmental exposure data, and 3) multi-modal data across ancestrally diverse populations . Importantly, lack of prospective data collections adhering to agreed-upon data standards has limited the number of widely available multi-omic datasets that have both well-described and harmonized metadata and multiple types of omic data.

In June 2021, the NHGRI virtually hosted a workshop entitled Multi-omics in Health and Disease: Current Applications, Challenges and Future Directions to understand the state of the field of multi-omics and to gather recommendations on a research strategy using multi-omics that is in line with the objectives in the NHGRI 2020 Strategic Vision and reflected in this FOA.

This FOA, together with RFA-HG-22-008 and RFA-HG-22-009, will support a Consortium to implement multi-omics technologies to study health and disease in ancestrally diverse populations.. The primary objectives of the Consortium are:

1. Examine the use of multiple omics data, combined with phenotypic and environmental exposure data, to detect and assess molecular profiles associated with healthy and diseased states as well as transitions from health to disease or vice versa. Through the establishment of working groups, all sites and centers are expected to work collaboratively to perform data integration and analysis deploying computational modeling and machine learning, interpret molecular profile associations, explore gene networks, and assess potential causal relationships.
2. Leverage this collaborative analysis to develop generalizable data harmonization, integration, and analysis methods, as well as best practices and standards for the optimal application of multi-omics technologies across clinical conditions.
3. Make use of the data generated by the Consortium to create a standardized and harmonized multi-dimensional data set that is widely available to the broader research community, is interoperable with existing resources, and upholds data sharing and privacy principles. This rich data set will include 1) persons from ancestrally diverse populations; 2) persons with and without specific diseases; 3) harmonized and standardized phenotypic and environmental exposure data; 4) harmonized and standardized data for all or most omes for each biosample; 5) data from multiple time points; and 6) associated meta-data to facilitate links across data types.

This FOA solicits applications to establish the DACC. RFA-HG22-008 and RFA-HG-22-009 will establish up to 6 DSSs and the OPC(s), respectively

The DACC (this RFA) will be primarily responsible for:

1. Coordinating, and contributing to, Consortium-wide protocol development, data analysis, and methods development.
2. Managing and securing Consortium data.
3. Creating a multi-dimensional dataset that is available to the broader research community and a portal for visualization.
4. Coordinating Consortium logistics.
5. Coordinating outreach and dissemination of findings.

Each DSS (RFA-HG-22-008) will be primarily responsible for:

1. Designing a study focused on a clinical condition for which integrative multi-omics could be useful in defining associations with healthy and disease states and in detecting changes to associations and molecular profiles over time.
2. Establishing effective outreach, engagement, education, recruitment, and retention strategies to maximize participation among groups most severely impacted by the proposed disease and understudied in genomicresearch pertaining to that disease.
3. Enrolling 300 participants, approximately 200 with disease and 100 without disease, consented for: a) collection of multiple omic, phenotypic, and environmental exposure measures at multiple time points; b) future research use; and c) broad data sharing.
4. Enrolling a minimum of 75% individuals from self-identified racial and ethnic communities expected to have genetic ancestries currently understudied in genomic research, consented as noted above.
5. Collecting phenotypic and environmental exposure data (as defined above).
6. Collecting samples and measures at a minimum of three time points; for example, at baseline (study entry) and during exacerbation, remission, subsequent disease stages, or treatment.
7. Submitting biosamples to the OPCs for data production.
8. Contributing to Consortium-wide protocol development, data analysis, and methods development efforts.
9. Working with the DACC to standardize and harmonize participant data such that it can form part of the multi-dimensional data set that will be made accessible to the broader scientific community via a controlled-access data request system.

The OPC(s) (RFA-HG-22-009) will be primarily responsible for:

1. Using high-throughput molecular assays to produce omics data from biosamples (including tissues and cells, as needed) provided by participants enrolled and collected by the DSSs.
2. Producing a minimum of three data types from the following: 1) genomics (WGS); 2) epigenomics (methylation arrays, ATAC-Seq, or ChIP-Seq); 3) transcriptomics (bulk RNA-Seq); 4) proteomics (targeted or untargeted, mass-spectrometry (MS), SOMAmer); and 5) metabolomics (targeted or untargeted, NMR spectroscopy, GC-MS, LC-MS). If producing fewer than five omic data types, at least one should be genomics and one should be non-nucleic acid-based (proteomics, metabolomics, etc.).
3. Receiving biosamples from the DSSs for data production and providing secure and accessible storage for them for the duration of the program.
4. Contributing to Consortium-wide protocol development, data analysis and methods development efforts.
5. Working with the DACC to standardize and harmonize omic data such that it can form part of the multi-dimensional data set that will be made accessible to the broader scientific community via a controlled-access data request system.

Research Approach

Through a prospective study design and collaborative collection and analysis of multiple omic, phenotypic, and environmental exposure data in conditions where distinct stages, transitions, or responses to treatment can be defined and evaluated, the Multi-Omics for Health and Disease Consortium is expected to produce consensus approaches, best practices, and standards that can be generalized across diseases and populations. It will also generate a standardized and harmonized dataset for general research use available through controlled-access processes and a portal for visualization.

Coordinating, and contributing to, consortium-wide protocol development, data analysis, and methods development

Each Disease Study Site (DSS) will be responsible for proposing a study focused on a clinical condition for which integrative multi-omics could be useful in defining associations with healthy and disease states and in detecting changes to associations and molecular profiles over time; for example, relapsing diseases with difficult-to-predict exacerbations and remissions, or diseases with distinct stages, transitions, or responses to treatment.

As noted in RFA-HG-22-008, this program intended to support omics research across a broad range of dissimilar conditions, enabling a focus on omic methods, standards, and practices in common amongst them and potentially most generalizable to other conditions.To ensure programmatic balance,only one scientifically meritorious application in a particular disease area is likely to be considered for funding under RFA-HG-22-008. In addition, due to significant research already in progress on omics of tumors, DSS investigations of tumor samples only will be considered non-responsive. DSS examining conditions with substantial ongoing work on multi-omics approaches supported by NIH Institutes and Centers, or other publicly available resources will be considered a low priority for funding from NHGRI under this FOA. DSS proposing diseases with the highest likelihood of providing new insights into omic associations will be given highest priority for funding under RFA-HG-22-008.

The DACC and OPC(s) will work collaboratively with the DSSs to: 1) integrate multiple data types including omic, phenotypic, and environmental exposure data; 2) define molecular profiles; 3) assess associations with healthy or disease states; 4) detect patterns of change in profiles and associations; 5) identify genetic variants, genes, and gene networks involved in disease transitions, and determine how those networks are impacted by phenotypic and environmental information; and 6) explore potentially causal relationships that lead to changes in health status.

While this collaborative analytical effort may provide some insights into disease etiology, the primary goal is to validate and enhance generalizable multi-omics-based approaches, not to define the pathobiology or predict the course of a particular disease. This FOA, therefore, expects the DACC, together with the other Consortium components to leverage the study design to develop methods, best practices, and standards to integrate and analyze omics, phenotypic, and environmental exposure data to identify meaningful biological changes related to health and disease.

Each DSS will propose technological and computational analytical protocols for their study; however, data analysis will be a cross-Consortium activity. Biosamples to be collected and omic technologies to be applied must thus be developed iteratively across the DSSs and OPC(s), considering, where possible, the unique characteristics of each disease and the capabilities and budget constraints of the OPC(s). Similarly, computational and statistical analyses will be developed iteratively across the DSSs, the OPC(s), and the DACC to maximize applicability to each disease and omic technology under study.

Consortium-wide data analyses will be performed using the NHGRI Genomic Data Science Analysis, Visualization, and Informatics Lab-Space (AnVIL) cloud-based ecosystem. The AnVIL is a scalable and interoperable platform established by NHGRI to reduce barriers for collaboration by leveraging a cloud-based infrastructure for democratizing genomic data access and sharing, and for securely computing across large genomic related datasets. Using the AnVIL platform will facilitate the collaborative development and optimization of methods and the establishment, by consensus, of best practices and standards for the application of multi-omics to study health and disease in ancestrally diverse populations. Demonstration of the generalizability of these methods across different diseases and populations is expected. The DACC will play a coordinating role, ensuring consortium-wide collaboration as the data is analyzed and the joint development and optimization of methods, best practices, and standards for the application of multi-omics to study health and disease in ancestrally diverse populations.

The DACC will coordinate the Consortium as it seeks to revise site-specific approaches and develop a consensus approach to achieve the goals of this program. The DACC is expected to facilitate a year-long, consortium-wide process focused on developing network-wide protocols for the following key aspects of the work of the Consortium: 1) the community engagement plan, 2) the recruitment strategy, including defining the characteristics of participants and the consent language, 3) the plan for defining, measuring, and collecting core phenotypic and environmental exposure measures and ensuring appropriate quality assurance and quality control,4) the biospecimen procurement and processing approaches, 5) the types of omics assays, 6) the data analysis methods, 7) common data models, and 8) the plan for utilizing the AnVIL platform to share data and tools among the Consortium and broader research community including through open and controlled access processes.

Managing consortium data

The DACC will be responsible for facilitating the submission to the AnVIL platform of phenotypic and environmental exposure data related to the participants enrolled by the DSSs. It will also facilitate submission to the AnVIL of the molecular data related to the biosamples processed at the OPC(s). The DACC will work with the sites and center(s) to define both the process and the standards for these submissions, utilizing widely available protocols such those validated within eMERGE (i.e. PheKB), the PhenX Toolkit, and the AnVIL data model, when appropriate. These standards will enable submissions and integration with processes and pipelines employed at the sites and center(s). The DACC will also coordinate with the AnVIL staff to catalog, manage, and control access to the data by consortium members. Through this process, the DACC will facilitate Consortium-wide efforts to define, for each sample, the required data for inclusion and the level of harmonization expected. The DACC will be responsible for validating all Consortium data against the agreed-upon standards and data model and working with the sites and center(s) to resolve validation errors.

Creating a multi-dimensional dataset that is available to the wider research community and portal for visualization

As noted above, during the first year of the program, the DACC will lead the consortium-wide effort to define a common data model that all sites will utilize to standardize their data. This will facilitate data integration, data sharing, and fairness. In addition, this will ensure that all Consortium components participate in the process of data harmonization. Once data collected and produced at the DSSs and the OPC(s) has been harmonized, the DACC will be responsible for validating the data to ensure that it conforms to agreed-upon standards. In this way, the DACC will coordinate the process of creating a standardized and harmonized multi-dimensional data set that is available to the broader research community, conforms to pre-defined standards, and adheres to NIH genomic data sharing expectations. This rich data set will include 1) persons from ancestrally diverse populations 2) persons with and without specific diseases, 3) harmonized and standardized phenotypic and environmental exposure data; 4) harmonized and standardized data for all or most omes for each sample, 5) data from all time points, and 6) associated meta-data to facilitate links across data types.

The DACC is also expected to ensure the data generated by the Consortium adheres to the FAIR Guiding principles (Findable, Accessible, Interoperable, Reusable, (https://www.nature.com/articles/sdata201618), including:

• Data and metadata assigned unique and persistent identifiers.
• Data and metadata retrievable.
• 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 are included.

The NIH intends for the multi-dimensional dataset to be made accessible as controlled access data through the NHGRI Genomic Data Science Analysis, Visualization, and Informatics Lab-space (AnVIL). The AnVIL was established by NHGRI to reduce barriers for collaboration by leveraging a cloud-based infrastructure for democratizing genomic data access and sharing, and for securely computing across large genomic related datasets. The DACC will be responsible for leading the consortium in liaising and leveraging the services provided by the AnVIL. Timelines for submissions will be defined by the Consortium but are expected to be on a rolling and frequent basis such as quarterly or semi-annually. After ensuring quality control and harmonization, the DACC will coordinate the submission of the multi-dimensional data set to the AnVIL. Both novel and previously known variant interpretations that are produced as part of this program should be made available through resources such as ClinVar to add to the evidence base for variant interpretation.

While the individual-level participant data and metadata, including phenotypic and environmental exposure data related to the participants enrolled by the Disease Study Sites, will be submitted to the AnVIL, the DACC will also create an open-access online data resource, or portal, for storing, cataloging, searching, and sharing aggregated summary-level data from the program. The portal will include tools for data exploration, query, and visualization that are responsive to the needs of the research community and designed with end users in mind (e.g., computer scientists, biologists, and geneticists). It will also be interoperable with resources such as those in the NIH Common Fund Data Ecosystem, including HubMAP and GTEx, and TOPMed, and will adhere to NIH genomic data sharing expectations for summary-level data. To achieve this goal, the DACC will be responsible for organizing raw and processed data, generating summary-level data, and making it available through the portal, together with metadata, protocols, methodologies software, tools, analyses, and other products of the consortium consistent with the FAIR Guiding Principles noted above to improve data sustainability and utility. Data and metadata should be in a form ready for artificial intelligence (AI), advanced machine-learning, and other computational approaches.

Coordinating Consortium Logistics:

The DACC will be a resource for logistics and communication among Consortium members and external collaborators. This will include establishing the Steering Committee (SC), with representation from all sites and center(s), and scheduling meetings as required. It is expected that during the first year the SC will meet at least twice per month by conference call and up to four times per year during the first year, likely two in person and two virtual full-day meetings, as needed for protocol development. During years 2-5, the SC will meet at least monthly by conference call and up to three times per year, likely two in person and one virtual full day meeting. For these meetings, the DACC will be responsible for working with the NIH and the other sites and center(s) for scheduling. For the in-person meetings, the DACC will be responsible for securing a venue (including A/V support) and coordinating logistics. For remote meetings, the DACC will leverage virtual meeting and collaboration technologies. It will also take and distribute minutes and action items for these meetings. The DACC will also be responsible for organizing Consortium-wide meetings and for supporting travel costs for the External Scientific Panel (ESP), who will meet with the SC in person at least once a year (approximately 5-6 individuals).

The DACC will be responsible for collecting data on the progress and findings of the sites and center(s). This will include information on samples in pipelines, conditions being studied, omics production status, data submission status, discoveries, and publications. The frequency, timing, and method for collecting this information will be determined in close collaboration with NIH and the Consortium.

Coordinating outreach and dissemination of findings

The DACC will be responsible for supporting coordinated outreach for the Consortium. The DACC will disseminate and promote data, metadata, analyses, algorithms, software, protocols, models, and technologies generated by the consortium. Dissemination needs concerning the output of the Consortium to different research communities will be assessed by the DACC to inform promotion and outreach efforts. The DACC will collect input, as needed, about the consortium data resource and implement improvements based on feedback. The DACC will also produce a user-friendly website that highlights products of the Consortium. Given the multi-dimensional nature of this program, the DACC will ensure the program’s goals are clearly communicated and the major findings and outputs will be made available as appropriate to participants, the scientific community, and the general public. The DACC will also support interactions between the Consortium and the larger omics research communities.

As highlighted by Popejoy et al., racial and ethnic minority populations have been massively understudied in genomic research to date. A robust body of research has identified the scientific, ethical, and social challenges presented by the overrepresentation of European ancestry groups in genomic research, some of which include undiscovered genetic variation, inaccurate risk prediction tools, and inequity in the distribution of benefits from research. Understanding and applying the vastness of human genetic variation for clinical diagnosis, prevention, and treatment requires capturing this variation and its disease consequences across multiple racial and ethnic groups, which will improve genomic interpretation and application across all population subgroups, even those not previously understudied in research.

The Multi-Omics for Health and Disease Consortium will solicit DSSs (RFA HG-22-008) enrolling a minimum of 75% of individuals from self-identified racial or ethnic communities expected to have genetic ancestries currently understudied in genomic research. This 3:1 proportion of racial and ethnic minority populations to non-minority populations provides greater statistical power and allows for exploratory subgroup analyses. It will also provide stable frequency and effect size estimates by site among adequately represented racial and ethnic participants for comparison to understudied participants.

Based on experience with other NHGRI-funded initiatives, such as the Electronic Medical Records and Genomics (eMERGE) Network and the Clinical Sequencing Evidence-Generating Research (CSER) Consortium, the 75% threshold is achievable, should not place undue constraints on the ability of the DSSs to recruit participants for their studies, and helps ensure adequate statistical power for comparative analyses at the population level. Given this, the DACC is expected to assist in identification and implementation of best practices regarding the use of population descriptors and monitoring that the Consortium is meeting the diversity goals of this program.

The 2020 NHGRI strategic vision emphasizes that the promise of genomics can t be fully realized without a diverse genomics workforce; diverse teams working together and capitalizing on innovative ideas and distinct perspectives outperform homogeneous teams. As noted in NIH’s Noice of Interest in Diversity (NOT-OD-20-031), scientists and trainees from diverse backgrounds and life experiences bring different perspectives, creativity, and individual enterprise to address complex scientific problems. There are many benefits that flow from a diverse NIH-supported scientific workforce, including: fostering scientific innovation, enhancing global competitiveness, contributing to robust learning environments, improving the quality of the research, advancing the likelihood that underserved or health disparity populations participate in, and benefit from health research, and enhancing public trust. Therefore, applicants should strive to compose teams richly diverse in backgrounds and academic disciplines, and provide full opportunity and participation to individuals and groups underrepresented in the genomic workforce.

National Institute of Environmental Health Sciences (NIEHS) Interests:

• NIEHS is interested in the incorporation of multi-dimensional exposure data with other omics data to inform mechanistic understanding of diseases and health outcomes particularly where exacerbation or progression of disease is impacted by environmental exposures. Examples of exposures of interest include, but are not limited to, air pollution, extreme weather/climate, pesticides, metals, and other chemical stressors and biologically derived toxins. NIEHS will prioritize applications with innovative methods and approaches for integrating various types of environmental data (including location-based data, personal monitoring, biomonitoring, and validated questionnaires, etc.) with other omics data. Applications that will inform how the dynamic interactions between environmental exposures and molecular networks drive health and disease outcomes (particularly in preexisting disease conditions, in underserved populations, and during potential windows of susceptibility) is strongly desired.
• NIEHS is interested in establishing effective and authentic outreach and engagement with communities adversely affected by environmental exposures. Additionally, applications should discuss retention strategies to maximize to involvement of study participants from understudied and underserved groups disproportionately affected by environmental exposures. NIEHS encourages applications that explore environmental health disparities and environmental justice issues by incorporating measures of social determinants of health into the analysis of study populations.
• Applicant research and study teams are encouraged to be diverse to include individuals from a wide range of underrepresented groups in science, geographic locations, scientific expertise areas, as well as stage of career growth.
• NIEHS is interested in applications that promote harmonization and integration of complex environmental health data with other multi-omics and phenotypic data. NIEHS will prioritize applications that facilitate cross-platform interoperability through activities that extend existing omics data models, data platforms, workflows, and community-based data standards to include environmental health data and concepts.

National Cancer Institute (NCI) Interests:

• NCI is interested in supporting a disease study site focused on cancer. Studies collecting both tumor and normal tissues from cancer cases are strongly encouraged and will be prioritized for funding.

Program Formation and Governance

This FOA uses the Cooperative Agreement mechanism. Successful applicants will become members of the Multi-Omics for Health and Disease Consortium composed of investigators who have been funded in response to one of the three related FOAs. Recipients 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. Close interaction among recipients and the NIH will be required to develop appropriate strategies and tools to carry out this program. A kickoff meeting for the Consortium will take place soon after awards are made to officially start the program’s activities and to establish the Steering Committee. As noted above, a major focus of the first year will be to set network-wide goals, including 1) the community engagement plan, 2) the recruitment strategy including the characteristics of participants and the consent language, 3) the plan for defining, measuring, and collecting core phenotypic and environmental exposure measures and ensuring appropriate quality assurance and quality control, 4) the biospecimen procurement and processing approaches, 5) the types of omics assays, 6) the data analysis methods, 7) common data models, and 8) the plan for utilizing the AnVIL platform to share data and tools among the Consortium and broader research community including through open and controlled access processes.

NIH

NIH is responsible for organizing and providing overall support and management for the Consortium. In addition to regular grant stewardship, the NIH Project Scientist(s) will be involved substantially with the recipients, consistent with the Cooperative Agreement mechanism. The NIH Project Scientist(s) will, together, be a voting member of the SC and will have a single vote.

Steering Committee

A Steering Committee will be the main governing body of the Multi-Omics for Health and Disease Consortium. The Steering Committee will be established to guide the overall scientific direction of the Consortium and will be composed of the PD/PI(s) from each of the funded DSSs, OPCs and DACC, and NIH program staff/Project Scientist(s). Major scientific decisions will be determined by consensus, and as needed, by majority vote of the SC, where each funded entity and NIH will have a single vote. It is anticipated that the SC will meet at least twice per month by conference call and up to four times per year during the first year, two in-person and two virtual full-day meetings, as needed for protocol development. During years 2-5, the SC will meet at least monthly by conference call and up to three times per year, two in-person and one virtual full-day meeting. SC meetings are intended to be inclusive and all key collaborators and pre- and postdoctoral trainees, including those from underrepresented groups or those from different but related disciplines, should be encouraged to attend. Working groups will be established to facilitate collaborative work and standardize approaches. All components of the Consortium will be expected to play an active role in these working groups, which may include (but are not limited to) groups focused on specific cross-Consortium activities, such as data integration and analysis and methods development. Recipients will be expected to accept and implement policies approved by the SC as described in Terms and Conditions of Award.

External Input to the Network

The Multi-Omics for Health and Disease Consortium will have an External Scientific Panel (ESP). The ESP will provide input on performance, priorities, and overall progress. The ESP will consist of experts in a broad range of subjects, including biostatistics, clinical coordination, community engagement (in particular with populations understudied in genomic research), data science, , environmental exposures, epidemiology, multi-omic technologies, population genetics, and other areas as needed. An NHGRI Project Scientist will serve as the Executive Secretary to the ESP. The ESP will meet semi-annually (one conference call and one in-person meeting per year), in conjunction with Steering Committee meetings, as appropriate. Following each meeting, the ESP will submit recommendations for a report for PD(s)/PI(s). The Consortium SC members will receive and consider the ESP’s comments and will provide a written response to the recommendations.

Data Sharing

NHGRI recognizes that data sharing is essential to advance genomic research and will expect recipients to comply with the NIH Genomic Data Sharing Policy. NHGRI supports the broadest appropriate genomic, phenotypic, and metadata data sharing with timely data release through widely accessible data repositories. Per NOT-HG-21-022, NHGRI expects applications awarded under this FOA to share comprehensive metadata and phenotypic, clinical, and environmental exposure data associated with the study; use standardized data collection protocols and survey instruments for capturing data, as appropriate; and use standardized notation for metadata (e.g. controlled vocabularies or ontologies) to enable the harmonization of datasets for secondary research analyses. For more information on NHGRI’s genomic data sharing expectations, see the NHGRI’s Genomic Data Sharing Policy FAQs webpage.

NHGRI expects studies involving human data to use data generated from sources that can document explicit consent for future research use and broad data sharing. Consent language should avoid restrictions on the types of users who may access the data. Additional guidance on informed consent can be found in the NHGRI Informed Consent Resource.

To ensure that maximal scientific benefit is derived from this significant public investment, this funding opportunity aims to advance and accelerate research by supporting rapid sharing of the resulting data with the broad scientific community for research use, through submission of all data to the NHGRI Genomic Data Science Analysis, Visualization, and Informatics Lab-Space (AnVIL), through submission of variant interpretations to ClinVar, and through publication in the scientific literature. Data submitted to the AnVIL will be accessible by the scientific community upon review and approval of a data access request by the NHGRI Data Access Committee.

To maximize synergy with ongoing efforts, the Consortium will adopt and adapt existing standards for data quality assurance and quality control, data sharing, genomic and phenotype harmonization, and other data standards as feasible, working with standards and data models from organizations such as the Global Alliance for Genomics and Health (GA4GH) and with phenotype standardization efforts such as the Human Phenotype Ontology (HPO) and Monarch. The Consortium will also utilize data collection protocols and consensus measures for phenotypes and exposures such as those recommended by the PhenX Toolkit. To assist in improving data sustainability and utility, applicants are encouraged to align the development of their data sets using the FAIR Guiding Principles. Policies and standards related to data sharing and data integration to be implemented in this Consortium will be shared with the broader community.

Data security encompasses confidentiality, data integrity, and availability. Confidentiality includes managing data access to maintain data security and making data accessible to authorized users only for authorized purposes. Data security protection and proper stewardship of human genomic, phenotypic, clinical, and other sensitive information stored and distributed is of the utmost importance. The Notice for Use of Cloud Computing Services for Storage and Analysis of Controlled-Access Data Subject to the NIH Genomic Data Sharing (GDS) Policy allows investigators to perform genomic analyses on a cloud platform. The NIH security best practices and provisions should be implemented to protect the privacy and confidentiality of research participants and prevent unauthorized access to data. Investigators are expected to develop policies and procedures for notifying NHGRI, and for managing and mediating any loss of data or compromise of data confidentiality.

Raw and processed data and metadata, protocols, software code and algorithms, tools, analyses and methods derived from them, publications, and other products of the consortium are expected to be made available through the AnVIL; other public web sites, as relevant; and/or publication in the scientific literature.

After the initial review, NHGRI program staff will conduct an additional administrative review of the plan for sharing data and may negotiate modifications of the resource sharing plan with the prospective recipient. The final negotiated version of the resource sharing plan will become a term and condition of the award of the cooperative agreement and will be reviewed over the years of funding.

Estimated timeline

During the first year of the program, the DSSs, OPCs, and DACC will work together to develop network-wide protocols for key aspects of the work of the Consortium, such as 1) the community engagement plan, 2) the recruitment strategy including the characteristics of participants and the consent language, 3) the plan for defining, measuring, and collecting core phenotypic and environmental exposure measures and ensuring appropriate quality assurance and quality control, 4) the biospecimen procurement and processing approaches, 5) the types of omics assays, 6) the data analysis methods, 7) common data models, and 8) the plan for utilizing the AnVIL platform to share data and tools among the Consortium and broader research community including through open and controlled access processes.

Year 2 of the program will be devoted to the recruitment of participants, the collection of baseline measures, including phenotypic and environmental exposure measures, and the collection of biosamples to be submitted to the OPCs for omic data production using the agreed-upon approaches from year 1. Subsequent measures and biosamples will be collected during years 3 and 4, or as needed based on the disease under study, but no later than the end of year 4. During years 2-4, all recipientswill also be expected to participate in and contribute intellectually to Consortium-wide data analysis, such as applying novel computational modeling and machine learning approaches, interpreting molecular profile associations, exploring gene networks, and assessing potentially causal relationships. During this time, the Consortium will work to develop generalizable methods, best practices, and standards that address data harmonization, integration, and analysis challenges and gaps. The Consortium will use the resulting data to create a standardized and harmonized multi-dimensional data set that is available to the research community and adheres to NIH genomic data sharing expectations. During year 5, the Consortium will finalize the analyses, methods development, and production of the final data set, and will focus on data and methods dissemination and publications.

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

Section II. Award Information

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

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:

• Hispanic-serving Institutions
• Historically Black Colleges and Universities (HBCUs)
• Tribally Controlled Colleges and Universities (TCCUs)
• Alaska Native and Native Hawaiian Serving Institutions
• 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)

Local 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)

Federal Governments

• 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) are not eligible to apply.

Non-domestic (non-U.S.) components of U.S. Organizations are not eligible to apply.

Foreign components, as defined in the NIH Grants Policy Statement, are allowed.

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.

• 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.
  • 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.
  • Unique Entity Identifier (UEI)- A UEI is issued as part of the SAM.gov registration process. The same UEI must be used for all registrations, as well as on the grant application.
• eRA Commons - Once the unique organization identifier is established, organizations can register with eRA Commons in tandem with completing their full SAM and Grants.gov registrations; 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 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.

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 diverse backgrounds, including underrepresented racial and ethnic groups, individuals with disabilities, and women are always encouraged to apply for NIH support. See, Reminder: Notice of NIH's Encouragement of Applications Supporting Individuals from Underrepresented Ethnic and Racial Groups as well as Individuals with Disabilities, NOT-OD-22-019.

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, per 2.3.7.4 Submission of Resubmission Application. 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 2.3.9.4 Similar, Essentially Identical, or Identical Applications).

Applicant organizations may submit more than one application, provided that each application is scientifically distinct. However, only one application from each applicant organization will be funded.

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 instructions in 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:

Joannella Morales, Ph.D.
Telephone: 301-480-3517
Email: joannella.morales@nih.gov

Page Limitations

All page limitations described in the SF424 Application Guide and the Table of Page Limits must be followed.

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 or Modular Budget

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

Effective management of this center requires a significant commitment by the Program Director(s)/Principal Investigator(s). For an application proposing a single PD/PI, the PD/PI is expected to devote at least 2.4 person months annually to the project. If multi-PDs/PIs are proposed, the aggregate level of effort required is a minimum of 2.4 person months. In the MPI model, one PD/PI is expected to commit a minimum of 1.2 person months annually and the other(s) should devote sufficient time to serve his/her proposed role while maintaining the aggregate required level of effort.

The DACC budget should include the costs required for active Consortium participation and coordination, including regular teleconferences and meetings of the SC and its working groups. For budgeting purposes, applicants should budget for attendance of 4-5 investigators from the DACC at up to four SC meetings per year during year 1, 2 in person (2 days, 1-2 nights) and 2 virtual. In years 2-5, applicants should budget for up to 3 SC meetings per year, 1 in person and 2 virtual. The costs of traveling 6 ESP members to one SC meeting per year should also be included. The DACC budget should include costs for twice monthly SC conference calls in the first year, and monthly conference calls in years 2-5.

All Consortium components are expected to conduct both site-specific and large-scale collaborative analyses and should budget accordingly. Collaborative analyses are expected to be performed on the AnVIL platform. Applicants should budget for costs associated with cloud-based analysis approaches as well as costs related to ensure the data is standardized and harmonized according to the agreed-upon data model. All Consortium components will need to budget for data storage, compute, and egress charges on AnVIL based on Google Cloud Platform pricing. NHGRI will continually assess the utilization of AnVIL.

The DACC budget should include costs associated with the creation of the portal from which summary-level data, and associated protocols, will be visualized and accessed. The DACC budget should also include the cost to manage and update the Consortium website, which is linked to the portal. The website should be capable of tracking network-wide activities and products for broader distribution.

The DACC budget should include the cost to coordinate all activities of the network that reflects sufficient effort of PIs/MPIs and program coordinators. Also, the DACC should budget for outreach and dissemination activities to both participant and research communities.

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:

Coordinating, and contributing to, consortium-wide protocol development, data analysis, and methods development

The DACC will provide critical strategic coordination of all activities of the Multi-Omics for Health and Disease Consortium. Applicants should provide evidence of their successful participation in, and oversight of, consortia comprising multiple research sites to achieve common aims. Applicants should describe an operational plan and an organizational strategy to build a collaborative environment across the consortium. Applicants should describe their willingness and experience in establishing and coordinating Working Groups.

It is expected that the Consortium will focus its first year on the development of a consensus-based, network-wide set of protocols that cover: 1) the community engagement plan; 2) the recruitment strategy including the characteristics of participants and the consent language; 3) the plan for defining, measuring, and collecting core phenotypic and environmental exposure measures and ensuring appropriate quality assurance and quality control; 4) the biospecimen procurement and processing approaches; 5) the types of omics assays; 6) the data analysis methods; 7) common data models; and 8) the plan for sharing data and tools sharing across the Consortium on the AnVIL platform. DACC applicants should propose a strategy to compile, review, revise, and finalize the approaches proposed by the DSSs and OPC(s) and coordinate a process that would lead to the development and implementation of a consensus approach to achieve the goals of this program.

Applicants are expected to describe how their expertise in data integration and analysis could contribute to analyses aimed at: 1) integrating multiple data types, including omic, phenotypic, and environmental exposure data; 2) defining molecular profiles; 3) assessing associations with healthy or disease states; 4) detecting patterns of change in profiles and associations; 5) identifying genetic variants, genes, and gene networks involved in disease transitions; and 6) exploring potentially causal relationships that lead to changes in health status.

Applicants should describe how they will explore and address challenges related to data harmonization approaches, quality control, batch effects, computational and statistical methods to integrate and analyze multiple modalities, and the selection and analysis of multiple omic data measures from the same sample. Applicants should describe approaches to integrate molecular and non-molecular data, such as environmental exposure data and social determinants of health. Applicants should demonstrate that the methods and approaches proposed are generalizable to ancestrally diverse populations.

As noted above, this FOA intends for the data analysis and methods development to be cross-Consortium activities. DACC applicants therefore should propose analytical tools and methods including technological and computational (including artificial Intelligence) approaches that can be developed and optimized collaboratively with the OPC(s) and DSSs and that would maximize applicability to several disease contexts and omic technologies, considering, where relevant, the capabilities and budget constraints of the OPC(s). As applicants are expected to perform data analyses within the AnVIL ecosystem, they should provide a comprehensive plan (including proposed costs) for cloud-based data analysis approaches. The plan should include analytical approaches to be used and their justification, plans for quality control analyses, methods to control for possible confounding (including batch effects) and imputation, and how false positive rates will be controlled in light of multiple testing. It is expected that applicants will aim to innovate, refine, and utilize novel theoretical concepts, approaches, or instrumentation, as appropriate.

Demonstration of the generalizability of methods across different diseases and populations is expected. Applicants should describe how they, as coordinators, will ensure that data analysis and methods development across the Consortium is collaborative and follows agreed-upon protocols.

Applicants should describe their willingness to participate in a cross-consortium data collection and analytic approach throughout the five years of the program, describe past experience with such consortium-wide activities, and budget for them accordingly.

Applicants should describe experience in computational and statistical data integration and data analysis methods, in cloud-based tool development and data wrangling, and in working within the AnVIL ecosystem.

Managing Consortium data

Applicants are expected to articulate a detailed plan to assist the Disease Study Sites as they protect, manage, standardize, and harmonize phenotypic, and environmental exposure data. Applicants should describe data security measures and protection of patients' privacy and confidentiality consistent with requirements of the Health Insurance Portability and Accountability Act (HIPAA) and other applicable regulations. This should include precautions taken to ensure removal of personally identifying information (PII), prevention of inadvertent release of data, or identification of participating individuals or groups.

DACC applicants should also articulate a detailed plan to assist the Omics Production Center(s) as they standardize and harmonize multiple types of molecular data, considering that data will be collected at multiple time points throughout the life of the program.

Applicants should articulate a plan to work with the sites and center(s) to define both the process and the standards for the submissions of standardized and harmonized data to the AnVIL for public access through controlled-data processes. These standards should enable submissions and integration with processes and pipelines employed at the sites and center(s). The lack of mature standards should not constrain creative or innovative approaches to accomplishing the aims of this program; however, where such standards do exist, applicants should indicate their commitment to using them to promote interoperability and sharing. Through this process, the DACC will facilitate Consortium-wide efforts to define, for each biosample, the required data for inclusion; the data quality metrics; the level of harmonization expected, including the use of controlled vocabularies and ontologies; and the level of efficiency required for the successful transfer of data from the sites and center(s). Plans to provide training to consortium members and support should be described as well.

The DACC will be responsible for validating the Consortium data against the agreed-upon data model standards and working with the sites and center(s) to resolve validation errors. As such, plans to ensure validation should be described. It will also be responsible for developing, in collaboration with the DSSs and OPC(s), a comprehensive data quality assessment and control process for consortium data. DACC applicants should also describe processes for accessioning and providing unique data identifiers to enable tracking and storing of data provenance, as well as plans for protecting transferred data. The DACC should articulate how it will work with the sites and center(s) to ensure implementation and running of common data processing pipelines, documenting pipeline descriptions and parameters, and providing access to documentation and pipeline software with versioning to the broader research community.

The DACC will be responsible for liaising with the AnVIL and for coordinating Consortium activities within the AnVIL ecosystem. As such, applicants should articulate a plan for communication with the AnVIL and for coordinating how the AnVIL platform will be utilized for data sharing both across and outside the Consortium.

Creating a multi-dimensional dataset that is available to the broader research community and a portal for visualization

Applicants should describe the steps they will take to ensure the multi-dimensional data set to be submitted to the AnVIL is standardized, harmonized, and validated. Plans to ensure the dataset conforms to the agreed-upon data model; adheres to the FAIR (Findable, Accessible, Interoperable, Reusable) Guiding Principles; and is in AI-ready formats appropriate for advanced machine learning approaches should be described.

Applicants should describe the strategy they will implement to work with the sites and centers to ensure regular submissions of the multidimensional dataset to the AnVIL. Applicants should describe experience coordinating data sharing, both unrestricted access and controlled-access data, across a consortium and describe a proposed plan for implementing consortium-wide data sharing policies and ensuring that agreed upon consent and data deposition expectations are met.

The plan for the creation of the visualization portal that includes summary-level data should be articulated and the necessary infrastructure to do so. DACC applicants should also include a description of both metadata-based query tools as well as tools for visualizing data, use of Application Programming Interfaces (APIs) or web services, and methods for downloading summary-level and other relevant data from the portal. Existing software should be utilized, where applicable, and plans for development of new software should demonstrate clear advantages over adoption or adaptation of existing tools. Plans to evaluate usability of the portal that includes members of the consortium and outside users should be described. This should include a description of the targeted users outside the Consortium investigators (e.g., computer scientists, biologists, geneticists, etc.), a description of specific use cases that will be evaluated, evaluation frequency, and how this information will be used to improve utility of the portal. Plans to ensure interoperability with existing resources and datasets should be articulated

Coordinating Consortium logistics

Applicants should describe their plans for serving as the communication and coordination center within the Consortium, including the establishment of web conferencing platforms and any needed communication platforms. They should describe plans for facilitating interactions within the consortium and organizing consortium meetings such as Steering Committee meetings, working groups, and Consortium-wide meetings. Applicants should describe plans to facilitate in-person investigator meetings while allowing remote participation ( hybrid meetings). This should include descriptions of needed logistical and operational management and plans to incorporate innovative strategies for conversion of in-person meetings to virtual, as needed.

Applicants should describe previous experiences with consultatory panels, specifically how reports were prepared in preparation for meetings and how advice was responded to. Applicants should describe plans to facilitate semi-annual meetings with the ESP (one conference call and one in-person meeting per year).

Strategies for tracking Consortium activities, experiments, and data, and regularly reporting status to NHGRI and the Consortium should be described. The DACC should describe its approach to collecting data on the progress and findings of the sites and center(s) including information on participant recruitment, demographics, and consent status; completeness of phenotypic data; samples in pipelines; disease status or stages being studied; omics production status; status of data submission from sites and center(s) to the DACC, and publications. The frequency, timing, and method for collecting and reviewing this information will be determined in close collaboration with the NHGRI and the Consortium. Since variation in the performance of each DSS is likely, applicants should describe their approach to monitoring site performance, anticipating and resolving emerging issues, and assisting any poorly-performing sites.

Coordinating outreach and dissemination of findings

Applicants should provide strategies and approaches for facilitating interactions with external genomic and other omic efforts; other consortia; and programs to facilitate sharing of data, approaches, and results. They should provide a strategy and plans for disseminating information and leading outreach efforts to promote consortium resources to the broader research community. This should include an overview of target audience(s); methods (e.g., tutorials, workshops, plans for announcement via the website, portal and social media); and use of the portal to highlight products of the Consortium. Given the multi-dimensional nature of this program, the DACC should describe how it will work with the rest of the Consortium to ensure understanding of the program’s goals as well as any summary findings of the program among study participants, the scientific community, and the general public. Feedback from outreach efforts should be shared with the Consortium to enable refinements of Consortium products in accordance with community input.

Without duplicating information contained in the biosketches, relevant previous experience should be described succinctly. All applicants are expected to demonstrate experience and expertise in multi-omics high throughput assays, in computational and statistical data integration and data analysis methods, and in cloud-based tool development and data wrangling. Expertise in community engagement, participant recruitment approaches, and outreach is also expected. To enhance the excellence and inclusivity of the research environment, applicants are strongly encouraged to assemble a study team that is richly diverse and provide full opportunity and participation to individuals and groups underrepresented in the genomic workforce.

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.

The following modifications also apply:

• All applications, regardless of the amount of direct costs requested for any one year, should address a Data Sharing Plan.
• A plan for sharing project datasets (phenotypic, environmental, covariate, process data, outcome measures, etc.) and associated omic data should be provided. Recipients are expected to comply with the NIH Genomic Data Sharing Policy (https://gds.nih.gov/) and the NHGRI implementation of this policy. The plan should also describe how informed consent will be designed and obtained to allow broad data sharing of project datasets for unrestricted access or for General Research Use under controlled access, as defined by NIH at https://osp.od.nih.gov/wp-content/uploads/standard_data_use_limitations.pdf. Broad data sharing for general research use is expected for Consortium datasets. A plan to share computerized resources such as study protocols, consent form templates, results report templates, and bioinformatic tools should also be provided.
• All controlled access data generated are expected to be deposited into the AnVIL.
• Rapid deposition of data into repositories is expected. Depending on the type of data, the duration of data production, as well as the quantity of the samples assayed in a given period, the frequency of data deposition might vary.
• Applicants should provide a specific proposal for submission of data and are encouraged to address the issue of frequency of the submissions, based on practical considerations or previous experience and the recommendations above. The reasonableness of the proposed data sharing plan will be assessed by the reviewers.
• Applicants should describe their plans to broadly disseminate methods and tools, including statistical and computational, developed as part of this program.

Appendix:

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

• No publications or other material, with the exception of blank questionnaires or blank surveys, may be included in the Appendix.

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 form. 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 unique entity identifier provided on the application is the same identifier 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.

In order to expedite review, applicants are requested to notify the NHGRI Referral Office by email at bettie_graham@mail.nih.gov when the application has been submitted. Please include the FOA number and title, PD/PI name, and title of the application.

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.

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).

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.

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.

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.

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 will receive a written critique.

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.

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 appropriate national Advisory Council or Board. 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.
• Emphasis on genetic ancestries underrepresented in genomic databases.
• Ability of investigative group to coordinate effectively large collaborative efforts or consortia.
• Effectiveness of investigative group to perform outreach and dissemination activities.

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 recipient's business official.

Recipients must comply with any funding restrictions described in Section IV.6. 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.

Institutional Review Board or Independent Ethics Committee Approval: Recipient institutions must ensure that protocols are reviewed by their IRB or IEC. To help ensure the safety of participants enrolled in NIH-funded studies, the recipient must provide NIH copies of documents related to all major changes in the status of ongoing protocols.

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: Generaland Part II: Terms and Conditions of NIH Grant Awards, Subpart B: Terms and Conditions for Specific Types of Grants, Recipients, and Activities, including of note, but not limited to:

• Federalwide Research Terms and Conditions
• Prohibition on Certain Telecommunications and Video Surveillance Services or Equipment
• Acknowledgment of Federal Funding

If a recipient is successful and receives a Notice of Award, in accepting the award, the recipient agrees that any activities under the award are subject to all provisions currently in effect or implemented during the period of the award, other Department regulations and policies in effect at the time of the award, and applicable statutory provisions.

Should the applicant organization successfully compete for an award, 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 (including gender identity, sexual orientation, and pregnancy). This includes ensuring programs are accessible to persons with limited English proficiency and persons with disabilities. 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 https://www.hhs.gov/civil-rights/for-individuals/nondiscrimination/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.

• Recipients of FFA must ensure that their programs are accessible to persons with limited English proficiency. For guidance on meeting the legal obligation to take reasonable steps to ensure meaningful access to programs or activities by limited English proficient individuals see https://www.hhs.gov/civil-rights/for-individuals/special-topics/limited-english-proficiency/fact-sheet-guidance/index.htmlandhttps://www.lep.gov.

• For information on an institution’s specific legal obligations for serving qualified individuals with disabilities, including reasonable accommodations and making services accessible to them, see http://www.hhs.gov/ocr/civilrights/understanding/disability/index.html.

• HHS funded health and education programs must be administered in an environment free of sexual harassment, see https://www.hhs.gov/civil-rights/for-individuals/sex-discrimination/index.html. For information about NIH's commitment to supporting a safe and respectful work environment, who to contact with questions or concerns, and what NIH's expectations are for institutions and the individuals supported on NIH-funded awards, please see https://grants.nih.gov/grants/policy/harassment.htm.
  
• For guidance on administering programs in compliance with applicable federal conscience protection and associated anti-discrimination laws see https://www.hhs.gov/conscience/conscience-protections/index.html and https://www.hhs.gov/conscience/religious-freedom/index.html.

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 and 2 CFR Part 200.206 Federal awarding agency review of risk posed by applicants. This provision will apply to all NIH grants and cooperative agreements except fellowships.

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 2 CFR Part 200, and other HHS, PHS, and NIH grant administration policies.

The administrative and funding instrument used for this program will be the cooperative agreement, an "assistance" mechanism (rather than an "acquisition" mechanism), in which substantial NIH programmatic involvement with the recipients 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 the recipients for the project as a whole, although specific tasks and activities may be shared among the recipients and the NIH as defined below.

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

• Determining research approaches, designing protocols, setting project milestones, and conducting research.
• Participating in group activities, including a study-wide Steering Committee to develop 1) the community engagement plan, 2) the recruitment strategy including the characteristics of participants and the consent language, 3) the plan for defining, measuring, and collecting core phenotypic and environmental exposure measures and ensuring appropriate quality assurance and quality control, 4) the biospecimen procurement and processing approaches, 5) the types of omics assays, 6) the data analysis methods, 7) common data models, and 8) the plan for utilizing the AnVIL platform to share data and tools among the Consortium and broader research community including through open and controlled access processes. Abiding by common definitions, protocols, procedures, etc. as chosen by majority vote of the Steering Committee.
• Collaborating with all Consortium sites in making Consortium findings and procedures as widely available and applicable as possible.
• Sharing research resources, tools, and data of interest with members of the consortium consistent with achieving the goals of the project.
• Ensuring that the data, software, resources, materials, etc. produced as part of this project are released appropriately according to the Resource Sharing Plan.
• Sharing results according to the NIH data sharing policy.
• Adhering to policies regarding sharing of genomic and other types of data, data access, and standardized formats; timely publication; and intellectual property established by the NIH, NHGRI, and the Steering Committee (SC) for this program.
• Sharing detailed genomic, phenotypic, family history, clinical, and related data derived from EMR systems and collected according to standard and widely available protocols such as those validated within eMERGE (i.e. PheKB) or the PhenX Toolkit through a definitive source such as AnVIL or ClinVar.
• Cooperating with other recipients in the development and design of research methods, protocols, tools, and strategies.
• Working productively with NHGRI and with program staff from other NIH Institutes who may be providing co-funding for projects.
• Accepting and complying with study policies established by NIH, and with additional non-conflicting policies approved by the Steering Committee.
• Cooperating with other recipients in the publication and dissemination of program results and the eventual release to the scientific community of methods, tools, and results, and other resources.
• Preparing abstracts, presentations and publications in a timely manner.
• Assessing and disseminating data, protocols, consent materials, and methods developed within and outside the Consortium.
• Not disclosing confidential information.
• Submitting periodic progress reports in a standard format, as agreed upon by the Steering Committee, External Scientific Panel, and the NIH.
• Attending and participating in Steering Committee and other working group meetings and accepting and implementing the decisions, guidelines, and procedures adopted by the Steering Committee, External Scientific Panel, and NIH, as appropriate.
• Interacting with other relevant NHGRI and NIH activities, as needed, to promote synergy and consistency among similar or related projects.
• Collaborating with other Consortium components to ensure that consortium products are the highest quality; develop standards; disseminate information; provide logistics, outreach and training, etc. For the collaboration to be effective, PDs/PIs are responsible for:
  • Ensuring that the recipient receives the appropriate approvals for sharing data with data repositories such as, AnVIL, dbGaP, and ClinVar and other appropriate public databases.
  • Working collaboratively to ensure that detailed phenotypic, environmental, clinical, and related data and metadatais standardized using agreed-upon formats and processes, submitted to the AnVIL to be cataloged, maintained, and made accessible as controlled-access data, and disseminated more broadly throughdbGaP or ClinVar or other appropriate databases.
  • Submitting datasets generated from the Consortium to public data repositories such as AnVIL, dbGaP, and ClinVar, as appropriate and agreed upon with the Steering Committee and NIH.
  • Providing reports, summary statistics, and data, as appropriate, in a timely fashion as agreed upon by the Steering Committee and NIH.
  • Working collaboratively to establish data formats and standards, to track and document collaborations and incoming samples, report findings, etc.
• Recipients(s) will retain custody of and have primary rights to the data and software developed under these awards, subject to Government policies regarding rights of access consistent with current DHHS, PHS, and NIH policies.

NIH 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 be to facilitate and not to direct the activities. It is anticipated that decisions in all activities will be reached by consensus of the program and that NIH staff will be given the opportunity to offer input to this process. The Project Scientist will participate as a member of the Steering Committee and will have one vote. The PS/SO will be named in the Notice of Award and will have the following substantial involvement:

• Participating with the other Steering Committee 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. The Project Scientist will assist and facilitate the group process and not direct it.
• Serving as a liaison, helping to coordinate activities among and for the recipients, including acting as a liaison to the NIH, and as an information resource for the recipients about research activities. The PS/SO will also coordinate the efforts of the program with other groups conducting similar studies.
• Attending all Steering Committee meetings as a voting member and assisting in developing operating guidelines, quality control procedures, and consistent policies for dealing with situations that require coordinated action. The PS/SO will be responsible for working with the Coordinating Center as needed to manage the logistic aspects of the program.
• Reporting periodically on the progress of the program to the Director, NHGRI, and to the National Advisory Council for Human Genome Research.
• Serving as a liaison between the Steering Committee and the External Scientific Panel, attending External Scientific Panel meetings in a non-voting liaison member role, and arranging for timely preparation and distribution of meeting minutes.
• Serving as a liaison between the Steering Committee and other federal agencies such as the Food and Drug Administration (FDA) or the Centers for Medicaid and Medicare Services (CMS).
• Serving on working groups of the Steering Committee and the External Scientific Panel, as appropriate.
• Assisting recipients in the development, if needed, of policies for dealing with situations that require coordinated action.
• Providing advice in the management and technical performance of the award.
• Assisting in promoting the availability of the data and related resources developed in the course of this program to the scientific community at large.
• Being responsible for the normal scientific and programmatic stewardship of the award, including assessments of how well the recipient has met any milestones required for each year of funding.
• Curtailing, withholding or reducing support for any recipient that fails to make satisfactory 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. In the event of a decision to terminate, requiring the recipient to submit a close-out plan within two (2) months of the decision.
• Involving NIH or NHGRI staff who may assist the recipient(s) as designated by the PS/SO.
• Where warranted and consistent with authorship and conflict of interest requirements of journals in which the Consortium/Network decides to publish, participating in data analyses, interpretations, and co-authorship of the publication of Consortium results through their role in scientific program management.
• Establishing best practices for IRB interactions, patient consent or assent (as appropriate), and results reporting, and for collecting, formatting, documenting, and sharing data as appropriate.

Areas of Joint Responsibility include:

Close interaction among the participating investigators will be required, as well as significant involvement from the NIH, to develop appropriate strategies and tools for genomic research. The recipients and the Project Scientist will meet as the program Steering Committee at least twice per month by conference call and up to four times per year during the first year, two in person and two virtual full-day meetings, as needed for protocol development. During years 2-5, the SC will meet at least monthly by conference call and up to three times per year, two in person and one virtual full day meeting, to share information on data resources, methodologies, analytical tools, as well as data analyses and preliminary results. SC meetings are intended to be inclusive and all key collaborators and pre- and postdoctoral trainees, including those from underrepresented groups or those from different but related disciplines, should be encouraged to attend.

The Steering Committee will serve as the main scientific body of the program. The Steering Committee will be responsible for coordinating the activities being conducted by the program. The Steering Committee membership will include one NHGRI Project Scientist and the PI from each awarded cooperative agreement. Cooperative agreements with multi-PI arrangements will have a single vote to be decided as desired within the multi-PI award. The Steering Committee may add additional members, and other government staff may attend the Steering Committee meetings as desired. It is anticipated that additional coordination mechanisms may be set up with other U.S. and international groups that may collaborate with the program.

To address particular issues, the Steering Committee may establish working groups, which will include representatives from the program and the NIH and possibly other experts. Recipients agree to work collaboratively to:

• Meet at frequency specified in RFA or otherwise agreed to with NIH to share information, experience and expertise across participating sites and centers on data resources, methodologies, analytical tools, data analyses, preliminary results, etc.; and to develop consensus approaches to recruiting study participants and informed consent; integrating, harmonizing, analyzing data; developing methods, best practices, and standards; and disseminating data to other Consortium members, the broader scientific community, and NIH-designated databases.
• Set research priorities, decide optimal research approaches and protocol designs, and contribute to the adjustment of research protocols or approaches as warranted.
• Inventory, assess and control quality, harmonize, and catalog Consortium data.
• Develop methods and tools for the integration and analysis of multi-omics, combined with phenotypic and environmental exposure, to study health and disease.
• Establish best practices and standards for data integration and collaborative analyses, as appropriate.
• Generate responses to ESP recommendations.
• Generate a multidimensional data set that is available to the research community and is interoperable with existing resources.

Dispute Resolution:

Any disagreements that may arise in scientific or programmatic matters (within the scope of the award) between award recipients and the NIH may be brought to Dispute Resolution. A Dispute Resolution Panel composed of three members will be convened. 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 the individual recipient. This special dispute resolution procedure does not alter the recipient'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, recipients 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. NIH FOAs outline intended research goals and objectives. Post award, NIH will review and measure performance based on the details and outcomes that are shared within the RPPR, as described at 45 CFR Part 75.301 and 2 CFR Part 200.301.

The Federal Funding Accountability and Transparency Act of 2006 (Transparency Act), includes a requirement for recipients of Federal grants to report information about first-tier subawards and executive compensation under Federal assistance awards issued in FY2011 or later. All recipients 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 the threshold. 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 2 CFR Part 200.113 and Appendix XII to 45 CFR Part 75 and 2 CFR Part 200, 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 and 2 CFR Part 200 Award Term and Condition 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.

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: GrantsInfo@nih.gov (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: support@grants.gov

Joannella Morales, Ph.D.
National Human Genome Research Institute (NHGRI)
Telephone: 301-480-3517
Email: joannella.morales@nih.gov

Kimberly A. McAllister, PhD
National Institute of Environmental Health Sciences (NIEHS)
Telephone: 984-287-3287
Email: mcallis2@niehs.nih.gov

Rudy Pozzatti, Ph.D.
National Human Genome Research Institute (NHGRI)
Telephone: 301-219-6235
Email: pozzattr@exchange.nih.gov

Deanna L. Ingersoll
National Human Genome Research Institute (NHGRI)
Telephone: 301- 435-7858
Email: Deanna.Ingersoll@nih.gov

Lisa Archer Edwards, MBA
National Institute of Environmental Health Science (NIEHS)
Phone: 984-287-3258
Email: archer@niehs.nih.gov

Crystal Wolfrey
National Cancer Institute (NCI)
Telephone: 240-276-6277
Email: wolfreyc@mail.nih.gov

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.

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 and 2 CFR Part 200.