Pangenome-based structural variant imputation enables large-scale genotype-phenotype studies in dairy cattle
- DOI
- 10.1038/s41467-026-75219-x
- Published
- 2026-07-03
- Container
- Nature Communications
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41467-026-75219-x,
title = {Pangenome-based structural variant imputation enables large-scale genotype-phenotype studies in dairy cattle},
author = {Liu Yang and Junjian Wang and Kristen Kuhn and Wenli Li and Geoffrey Zanton and Mahesh Neupane and Clarissa Boschiero and John B. Cole and Bingjie Li and Congjun Li and Ransom L. Baldwin, VI and Curtis P. Van Tassell and Benjamin D. Rosen and Timothy P. L. Smith and Jicai Jiang and Lingzhao Fang and Li Ma and George E. Liu},
year = {2026},
journal = {Nature Communications},
doi = {10.1038/s41467-026-75219-x},
url = {https://doi.org/10.1038/s41467-026-75219-x}
}RIS
TY - JOUR TI - Pangenome-based structural variant imputation enables large-scale genotype-phenotype studies in dairy cattle AU - Liu Yang AU - Junjian Wang AU - Kristen Kuhn AU - Wenli Li AU - Geoffrey Zanton AU - Mahesh Neupane AU - Clarissa Boschiero AU - John B. Cole AU - Bingjie Li AU - Congjun Li AU - Ransom L. Baldwin, VI AU - Curtis P. Van Tassell AU - Benjamin D. Rosen AU - Timothy P. L. Smith AU - Jicai Jiang AU - Lingzhao Fang AU - Li Ma AU - George E. Liu PY - 2026 JO - Nature Communications DO - 10.1038/s41467-026-75219-x UR - https://doi.org/10.1038/s41467-026-75219-x ER -
APA
Yang, L., Wang, J., Kuhn, K., Li, W., Zanton, G., Neupane, M., Boschiero, C., Cole, J. B., Li, B., Li, C., VI, R. L. B., Tassell, C. P. V., Rosen, B. D., Smith, T. P. L., Jiang, J., Fang, L., Ma, L., & Liu, G. E. (2026). Pangenome-based structural variant imputation enables large-scale genotype-phenotype studies in dairy cattle. Nature Communications. https://doi.org/10.1038/s41467-026-75219-x
Source records
- crossref · retrieved 2026-09-26T18:06:11.951Z