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JAM: A Scalable Bayesian Framework for Joint Analysis of Marginal SNP Effects
Recently, large scale genome‐wide association study (GWAS) meta‐analyses have boosted the number of known signals for some traits into the tens and hundreds. Typically, however, variants are only analysed one‐at‐a‐time. This complicates the ability of fine‐mapping to identify a small set of SNPs for...
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| Publié dans: | Genet Epidemiol |
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| Auteurs principaux: | , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
John Wiley and Sons Inc.
2016
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4817278/ https://ncbi.nlm.nih.gov/pubmed/27027514 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/gepi.21953 |
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