SIRE 2.0: a novel method for estimating polygenic host effects underlying infectious disease transmission, and analytical expressions for prediction accuracies
The method presented can estimate genetic parameters for host susceptibility, infectivity and recoverability from individual disease records. The freely available SIRE 2.0 software provides a valuable extension to SIRE 1.0 for estimating host polygenic effects underlying infectious disease transmission. This tool will open up new possibilities for analysis and quantification of genetic determinates of disease dynamics.
Authors
- Ricardo Pong‐Wong (ORCID: https://orcid.org/0000-0001-9808-2742)
- C. M. Pooley (ORCID: https://orcid.org/0000-0002-8779-4477)
- Jamie Prentice
- Andrea Doeschl‐Wilson (ORCID: https://orcid.org/0000-0002-2658-6973)
- Glenn Marion (ORCID: https://orcid.org/0000-0002-0454-9338)
- Stephen Bishop
Institutions
- Roslin Institute (GB)
- Biomathematics and Statistics Scotland (GB)
- University of Edinburgh (GB)
Publication Details
- Journal
- Genetics Selection Evolution
- Published
- 2025-04-01
- DOI
- https://doi.org/10.1186/s12711-025-00956-4
- Citations
- 5
- Primary Topic
- Animal Disease Management and Epidemiology
- Type
- article
- Field-Weighted Citation Impact
- 9.51
Funders
- Rural and Environment Science and Analytical Services Division
- Directorate for Biological Sciences
- Biotechnology and Biological Sciences Research Council