SBIR/STTR Research Award

Rapid and Inexpensive Multi-allele Cystic Fibrosis Assay

Award identifier fec73cef9cd2632250b665b1535590c55f9ee779136a24ded16a644c6ba8bec5Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$729,388

Program and phase

SBIR · Phase II

Award year

2003

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Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
ERAGEN BIOSCIENCES, INC.
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
Not reported
Topic code
Not reported

Research abstract

DESCRIPTION (provided by applicant): Cystic fibrosis is the most common autosomal recessive genetic disease in the United States. With the recent recommendation for multi-mutation CF screening by the ACMG/ACOG, more labs will be implementing multiplexed genotyping assays. Presently, DNA diagnostic tests for CF are expensive, complicated to run and limited to certain ethnic backgrounds. Using a powerful new technology called AEGIS we propose developing a fast, inexpensive, reliable and easy to run a multiplexed mutation detection system for clinical screening of mutations in the CFTR gene that cause CF in the majority of Americans. In Phase I, proof of concept studies will take place to show that the system is feasible for testing CF mutations on human genomic samples. In Phase Il, we intend to develop a clinical diagnostic assay multi-mutation carrier and newborn CF screening. PROPOSED COMMERCIAL APPLICATIONS: This project could result in an easy to run, low-cost, high-throughput, and ultrasensitive method for Cystic Fibrosis DNA mutation screening that minimizes PCR amplicon handling and is run on an inexpensive validated instrument platform. In addition, validation from this project will open the doors to other test kit development such as population carrier screening for other genetic diseases and research based chromosome mapping studies.

Technology keywords

Not reported

Agency intelligence

Department of Health and Human Services

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