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Genome-wide fine-mapping identifies pleiotropic and functional variants that predict many traits across global cattle populations
The difficulty in finding causative mutations has hampered their use in genomic prediction. Here, we present a methodology to fine-map potentially causal variants genome-wide by integrating the functional, evolutionary and pleiotropic information of variants using GWAS, variant clustering and Bayesi...
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| Pubblicato in: | Nat Commun |
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| Autori principali: | , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Nature Publishing Group UK
2021
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7870883/ https://ncbi.nlm.nih.gov/pubmed/33558518 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41467-021-21001-0 |
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