PAGER: A novel genotype encoding strategy for modeling deviations from additivity in complex trait association studies
Overall, we show that PAGER is an efficient genotype encoding approach that can uncover sources of missing heritability and reveal novel insights in the study of complex traits while incurring minimal costs.
Authors
- Jiayan Zhou (ORCID: https://orcid.org/0000-0001-5974-087X)
- Attri Ghosh
- Abraham A. Palmer (ORCID: https://orcid.org/0000-0003-3634-0747)
- Molly A. Hall (ORCID: https://orcid.org/0000-0001-7740-401X)
- Jason H. Moore (ORCID: https://orcid.org/0000-0002-5015-1099)
- Tayo Obafemi-Ajayi (ORCID: https://orcid.org/0000-0002-0155-9733)
- Philip J. Freda (ORCID: https://orcid.org/0000-0001-8658-9802)
- Nicholas Matsumoto (ORCID: https://orcid.org/0000-0002-3280-9678)
- Apurva S. Chitre (ORCID: https://orcid.org/0000-0003-1709-9214)
- Priyanka Bhandary (ORCID: https://orcid.org/0000-0002-6962-9638)
Institutions
- Missouri State University (US)
- Cedars-Sinai Medical Center (US)
- University of California San Diego (US)
- University of Pennsylvania (US)
- Stanford University (US)
Publication Details
- Journal
- BioData Mining
- Published
- 2024-10-11
- DOI
- https://doi.org/10.1186/s13040-024-00393-x
- Citations
- 2
- Primary Topic
- Genetic and phenotypic traits in livestock
- Type
- article
- Field-Weighted Citation Impact
- 0.55
Funders
- National Institutes of Health