Bayesian meta‐analysis across genome‐wide association studies of diverse phenotypes
Genome‐wide association studies (GWAS) are a powerful tool for understanding the genetic basis of diseases and traits, but most studies have been conducted in isolation, with a focus on either a single or a set of closely related phenotypes. We describe MetABF, a simple Bayesian framework for perfor...
| Autores principales: | , , , , , |
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| Formato: | Journal article |
| Lenguaje: | English |
| Publicado: |
Wiley
2019
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