Detecting inversion polymorphisms from SNP data (360G-Wellcome-109863_Z_15_Z)
The overarching aim of this project is to determine the most powerful method for detecting and genotyping single-mutation inversion polymorphisms from SNP data. The PI has conceived two such methods that will be developed to completion in the project because: (1) the PI considers them likely to out-perform the alternatives, and (2) the PI plans to extend them further to detect more complex inversions in the larger study. It is presently unclear which SNP-based inversion detection method has grea test power, and so before embarking on costly validation via sequencing in a larger study, we perform a comprehensive comparison study here to determine the most powerful method. While the PI is ideally placed to perform such a study given his development of the invertFREGENE inversion simulation software, such a rigorous comparison is extremely computationally and time-demanding and thus represents the primary focus for this project, requiring the postdoctoral researcher. The methodology develo pment, comparison study and associated software tool produced by this project, together provide a perfect platform for a larger study and application planned subsequently to investigate the impact of inversions on disease, the genome and the evolution of our species.
Where is this data from?
This data was originally published by The Wellcome Trust. If you see something about your organisation or the funding it has received on this page that doesn't look right you can submit a grantee amendment request. You can hover over codes from standard codelists to see the user-friendly name provided by 360Giving.
Grant Details
Amount Awarded | 97799 |
Applicant Surname | O'Reilly |
Approval Committee | ERG1 Genetics, Genomics and Population Research |
Award Date | 2015-09-18T00:00:00+00:00 |
Financial Year | 2014/15 |
Grant Programme: Title | Seed Award in Science |
Internal ID | 109863/Z/15/Z |
Lead Applicant | Dr Paul O'Reilly |
Partnership Value | 97799 |
Planned Dates: End Date | 2018-05-26T00:00:00+00:00 |
Planned Dates: Start Date | 2016-05-01T00:00:00+00:00 |
Recipient Org: Country | United Kingdom |
Region | Greater London |