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bGWAS: an R package to perform Bayesian genome wide association studies
SUMMARY: Increasing sample size is not the only strategy to improve discovery in Genome Wide Association Studies (GWASs) and we propose here an approach that leverages published studies of related traits to improve inference. Our Bayesian GWAS method derives informative prior effects by leveraging G...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7520046/ https://www.ncbi.nlm.nih.gov/pubmed/32470106 http://dx.doi.org/10.1093/bioinformatics/btaa549 |