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Screening and Functional Validation of Genomic Variants Associated with Human Congenital Anomalies (R01 Clinical Trial Not Allowed)

Rapid advances in genotyping and next generation sequencing technologies have led to the identification of genetic variants that are associated with a wide variety of congenital defects including human congenital anomalies (HCAs), intellectual developmental disabilities (IDDs) and inborn errors of metabolism (IEMs).

FromNational Institutes of Health
Who can applystate governments, counties, cities and townships, special districts (water, fire, parks, etc.), school districts, public colleges and universities and 9 more types
Eligibility notesOther Eligible Applicants include the following: Alaska Native and Native Hawaiian Serving Institutions; Asian American Native American Pacific Islander Serving Institutions (AANAPISISs); Eligible Agencies of the Federal Government; Faith-based or…
How muchAmount not stated
DeadlineFri, Jan 7, 2028 (441 days left)
CategoryHealth, Income Security and Social Services
TypeGrant
Opportunity #PAR-25-185
Assistance listing93.121, 93.351, 93.865
PostedWed, Oct 30, 2024

Open the official posting

From the notice

Rapid advances in genotyping and next generation sequencing technologies have led to the identification of genetic variants that are associated with a wide variety of congenital defects including human congenital anomalies (HCAs), intellectual developmental disabilities (IDDs) and inborn errors of metabolism (IEMs). Large quantities of genomic data collected from pediatric congenital anomalies cohorts are available to the research community through several databases such as the Database of Genotypes and Phenotypes (dbGaP), the Gabriella Miller Kids First Data Resource Portal, the European Genome-Phenome Archive and Clinical Genome Resource (ClinGen). The purpose of this initiative is to promote the screening, functional validation and characterization of congenital anomaly-associated genetic variants identified through public facing databases and individual efforts using in-silico tools, appropriate animal models, in vitro systems or multi-pronged approaches. This initiative addresses a challenging gap between identifying sequence variations of potential interest and recognizing which of those variations have functional effects on the phenotype of interest.

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