Not Verified

Discovery of the Genetic Basis of Childhood Cancers and of Congenital Anomalies

National Institutes of Health

General Information

Document Type:	Grants Notice
Funding Opportunity Number:	PAR-27-071
Funding Opportunity Title:	Discovery of the Genetic Basis of Childhood Cancers and of Congenital Anomalies: Gabriella Miller Kids First Pediatric Research Program (X01 Clinical Trial Not Allowed)
Opportunity Category:	Discretionary
Opportunity Category Explanation:
Funding Instrument Type:	Other
Category of Funding Activity:	Health
Category Explanation:
Expected Number of Awards:
Assistance Listings:	93.310 -- Trans-NIH Research Support
Cost Sharing or Matching Requirement:	No

Additional Information

Agency Name:	National Institutes of Health
Description:	As part of the Gabriella Miller Kids First Pediatric Research Program (Kids First Program), the NIH invites applications to submit samples from pediatric cohorts for whole genome sequencing at a Kids First Program supported genomic data generating centers. Applicants are encouraged to propose sequencing of existing pediatric cancer or congenital anomaly cohorts to elucidate the genetic contribution (somatic and/or germline) to childhood cancers, to investigate the genetic etiology of congenital anomalies, to study the molecular basis of the associations between congenital anomalies and increased cancer risk, or to expand the range of pediatric disorders included within the Kids First Data Resource. The program will accept applications that propose whole genome, exome, and transcriptome sequencing, as well as clinical-grade sequencing, long-read sequencing, proteomics, and epigenomic assays of tumor or affected tissue, when justified. Applicants are encouraged to propose cohorts to increase representation of existing Kids First Program projects. These data, and associated clinical and phenotypic data, will become part of the Kids First Data Resource Center for sharing with the research community.
Link to Additional Information:
Grantor Contact Information:	If you have difficulty accessing the full announcement electronically, please contact: Gabriella Miller Kids First Program kidsfirst@od.nih.gov

AI Based Application Success Predictor

1. Significance (Importance of the Research Question) (Highest Predictor ⭐⭐⭐⭐⭐)

This is one of NIH's core review criteria.

Competitive proposals should:

Address an important biomedical or public health problem.
Fill a significant knowledge gap.
Advance scientific understanding.
Improve prevention, diagnosis, treatment, or health outcomes.

Reviewers ask whether successful completion of the project will have a meaningful impact on the field.

2. Strong alignment with the Funding Opportunity Announcement (FOA) and Institute priorities (Highest Predictor ⭐⭐⭐⭐⭐)

Competitive applications closely match:

The objectives of the specific FOA.
The mission of the relevant NIH Institute or Center (e.g., NCI, NHLBI, NIDDK, NIAID, NHGRI).
The scientific priorities described in the funding announcement.

Even scientifically strong proposals are less competitive if they do not fit the FOA or Institute mission.

3. Innovation (Highest Predictor ⭐⭐⭐⭐⭐)

Innovation is a formal NIH review criterion.

Competitive proposals often include:

Novel hypotheses.
New technologies.
Innovative methodologies.
Creative experimental approaches.
New therapeutic or diagnostic strategies.
Artificial intelligence or advanced computational methods (when appropriate).

Projects should demonstrate how they advance beyond current knowledge rather than simply extending existing work.

4. Rigorous Approach and Methodology (Highest Predictor ⭐⭐⭐⭐⭐)

The Approach section is often the most heavily scrutinized part of an NIH application.

Competitive proposals include:

Well-defined hypotheses.
Strong preliminary rationale (especially for R01s).
Robust experimental design.
Appropriate statistical analyses.
Risk mitigation strategies.
Alternative approaches.
Realistic timelines and milestones.

A weak approach can prevent funding even for highly innovative ideas.

5. Investigator(s) and Team Expertise (Very High Predictor ⭐⭐⭐⭐⭐)

Reviewers evaluate whether the investigators have the expertise to complete the proposed work.

Competitive teams demonstrate:

Strong publication record.
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Complementary multidisciplinary skills.
Successful collaboration.

For early-stage investigators, reviewers place greater emphasis on potential and mentorship.

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The institutional environment should provide:

Appropriate laboratories and equipment.
Core facilities.
Clinical infrastructure (when applicable).
Biostatistical support.
Institutional commitment.
Collaborative opportunities.

A strong research environment increases confidence that the project can be successfully completed.

7. Scientific Rigor, Reproducibility, and Transparency (Very High Predictor ⭐⭐⭐⭐⭐)

NIH places strong emphasis on:

Scientific rigor.
Reproducibility.
Authentication of key biological resources.
Consideration of sex as a biological variable (when applicable).
Transparent reporting.
Data management and sharing.

Applications should clearly describe how rigor and reproducibility will be ensured throughout the study.

8. Strong Preliminary Data (especially for R01s) (High Predictor ⭐⭐⭐⭐☆)

For many NIH mechanisms—particularly R01—competitive applications often include preliminary data demonstrating:

Feasibility.
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Early proof of concept.
Supporting evidence for the central hypothesis.

Mechanisms such as R21 may place less emphasis on preliminary data, depending on the FOA.

9. Potential for Translation and Public Health Impact (High Predictor ⭐⭐⭐⭐☆)

Competitive proposals often describe how the research could lead to:

New diagnostics.
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Clinical trials.
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10. Appropriate Budget, Data Sharing, and Compliance (High Predictor ⭐⭐⭐⭐☆)

Strong applications include:

Well-justified budgets.
Realistic resource requests.
Data Management and Sharing Plans (required for applicable applications).
Compliance with NIH policies on human subjects, vertebrate animals, inclusion, and research ethics.

Administrative completeness and compliance support a smoother review process.

Specialties

Cancer

Oncology

Genetics & Genomics

Pediatrics

Eligibility Requirements

Applicants:

Public housing authorities/Indian housing authorities
Independent school districts
Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education
County governments
Small businesses
Private institutions of higher education
Special district governments
Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education
For profit organizations other than small businesses
Native American tribal organizations (other than Federally recognized tribal governments)
State governments
City or township governments
Others (see text field entitled "Additional Information on Eligibility" for clarification)
Native American tribal governments (Federally recognized)
Public and State controlled institutions of higher education

Additional Information on Eligibility:

Refer to Section III. Eligibility Information in the NOFO for additional information on eligibility.Foreign Organizations/Foreign CollaborationsNon-domestic (non-U.S.) Entities (Foreign Organizations) 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 not allowed.

Eligible Countries:

United States

Sponsor Details

Sponsor Institute/Organizations: National Institutes of Health

Sponsor Type: Corporate/Non-Profit

Address: 9000 Rockville Pike, Bethesda, MD 20892

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