| EPSRC Reference: |
GR/K72599/01 |
| Title: |
EXTENDING STOCHASTIC GENETIC MODELS TO ALLOW INFERENCE FROM HIGHLY VARIABLE MOLECULAR DATA |
| Principal Investigator: |
Balding, Professor DJ |
| Other Investigators: |
|
| Researcher Co-Investigators: |
|
| Project Partners: |
|
| Department: |
Sch of Mathematical Sciences |
| Organisation: |
Queen Mary University of London |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
26 March 1996 |
Ends: |
25 March 1999 |
Value (£): |
119,997
|
| EPSRC Research Topic Classifications: |
| Statistics & Appl. Probability |
|
|
| EPSRC Industrial Sector Classifications: |
| Pharmaceuticals and Biotechnology |
No relevance to Underpinning Sectors |
| R&D |
|
|
| Related Grants: |
|
| Panel History: |
|
|
Summary on Grant Application Form |
|
The project will make use of recent advances in genealogical theory to address problems in the analysis of human molecular genetic data. The main emphasis will be on Short Tandem Repeat and mitochondrial loci (STR & mtDNA). We will apply results obtained by the named PDRA to make stochastic models more representative of the dynamics and history of human populations. Coalescent models will be used to estimate the frequency of mtDNA haplotypes and the distribution of differences between STR alleles. They will enable us to rigorously assess evidence of selection, or unusual patterns of mutation. Such effects may be of direct importance in human disease, or may affect the interpretation of the inheritance of genetic markers. Stochastic simulations will also be harnessed to calculate the likelihood surface for evolutionary parameters such as migration and mutation rates. The project offers practical solutions to immediate problems, whilst also promising insights into human evolutionary history.
|
|
Key Findings |
|
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
|
|
Potential use in non-academic contexts |
|
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
|
|
Impacts |
|
| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
|
| Date Materialised |
|
|
|
|
Sectors submitted by the Researcher |
|
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
|
| Project URL: |
|
| Further Information: |
|
| Organisation Website: |
|