randPedPCA: rapid approximation of principal components from large pedigrees
The leading principal components of pedigree matrices can be efficiently obtained using randomised singular value decomposition and other methods. Scatter plots of these scores allow for intuitive visualisation of large pedigrees. For large pedigrees, this is considerably faster than rendering plots of a pedigree graph.
Authors
- Hannes Becher (ORCID: https://orcid.org/0000-0003-3700-2942)
- Hanbin Lee (ORCID: https://orcid.org/0000-0002-4545-0027)
- R. Craddock
- Gregor Gorjanc (ORCID: https://orcid.org/0000-0001-8008-2787)
Institutions
- Roslin Institute (GB)
- University of Michigan (US)
- University of Edinburgh (GB)
Publication Details
- Journal
- Genetics Selection Evolution
- Published
- 2025-08-28
- DOI
- https://doi.org/10.1186/s12711-025-00994-y
- Citations
- 3
- Primary Topic
- Genetic and phenotypic traits in livestock
- Type
- article
- Field-Weighted Citation Impact
- 5.45
Funders
- Biotechnology and Biological Sciences Research Council