Positional cloning to identify the genes responsible for disease or particular traits involves mapping of the susceptibility locus through genome-wide association studies in humans and phenotypic analysis of recombinant strains and back-crossing in mice. Then responsible genes within such loci are identified based on their expression patterns, biochemical activities of the gene products and phenotypes of the corresponding knockout animal models. Unfortunately, the large size of susceptibility loci (usually >5 Mb) makes the downstream investigative steps rather challenging. The only way to narrow down the responsible region so far was to back- cross the carrier mice in order to trim the locus by homologous recombination. However, the chance of spontaneous recombination is very low, and trimming the locus to a manageable size is usually not feasible. We propose to develop the approach to artificially induce recombination at defined locations within the susceptibility locus (targeted recombination). This will provide the reliable route to pinpoint the causative mutations and ultimately, the mechanism of the disease in question.

Public Health Relevance

Identification of the gene responsible for a particular disease or health condition is required for understanding the mechanism of the disease and greatly facilitates the development of therapeutic interventions. We propose to develop the new approach to identify responsible genes within large susceptibility loci in mice. If works, this approach and tools created in this study would provide the reliable, time- and cost-efficient route to pinpoint the causative mutations and ultimately, the mechanism of the diseases in question.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Exploratory/Developmental Grants (R21)
Project #
1R21GM135494-01
Application #
9868703
Study Section
Molecular Genetics A Study Section (MGA)
Program Officer
Sammak, Paul J
Project Start
2019-09-20
Project End
2021-08-31
Budget Start
2019-09-20
Budget End
2020-08-31
Support Year
1
Fiscal Year
2019
Total Cost
Indirect Cost
Name
Henry M. Jackson Fdn for the Adv Mil/Med
Department
Type
DUNS #
144676566
City
Bethesda
State
MD
Country
United States
Zip Code
20817