High performance imputation of structural and single nucleotide variants using low-coverage whole genome sequencing
This study highlights the promise of reference panel imputation using low-coverage WGS, including novel opportunities to enhance the resolution of genome-wide association studies by capturing SVs.
Authors
- Ross D. Houston (ORCID: https://orcid.org/0000-0003-1805-0762)
- Alastair Hamilton (ORCID: https://orcid.org/0000-0001-7242-0221)
- Daniel J. Macqueen (ORCID: https://orcid.org/0000-0001-8050-7722)
- Diego Robledo (ORCID: https://orcid.org/0000-0002-9616-5912)
- Manu Kumar Gundappa (ORCID: https://orcid.org/0000-0003-4328-2178)
- James Prendergast (ORCID: https://orcid.org/0000-0001-8916-018X)
Institutions
- Roslin Institute (GB)
- Hendrix Genetics (Netherlands) (NL)
- Benchmark Animal Health (United Kingdom) (GB)
- Wageningen University & Research (NL)
- University of Edinburgh (GB)
Publication Details
- Journal
- Genetics Selection Evolution
- Published
- 2025-03-28
- DOI
- https://doi.org/10.1186/s12711-025-00962-6
- Citations
- 4
- Primary Topic
- Genetic and phenotypic traits in livestock
- Type
- article
- Field-Weighted Citation Impact
- 7.27
Funders
- Norges Miljø- og Biovitenskapelige Universitet
- Directorate for Biological Sciences
- Biotechnology and Biological Sciences Research Council