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A Bayesian hierarchical variable selection prior for pathway-based GWAS using summary statistics
While genome-wide association studies (GWASs) have been widely used to uncover associations between diseases and genetic variants, standard SNP-level GWASs often lack the power to identify SNPs that individually have a moderate effect size but jointly contribute to the disease. To overcome this prob...
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| Gepubliceerd in: | Stat Med |
|---|---|
| Hoofdauteurs: | , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
2019
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7690328/ https://ncbi.nlm.nih.gov/pubmed/31777110 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.8442 |
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