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Random-Effects Model Aimed at Discovering Associations in Meta-Analysis of Genome-wide Association Studies
Meta-analysis is an increasingly popular tool for combining multiple different genome-wide association studies (GWASs) in a single aggregate analysis in order to identify associations with very small effect sizes. Because the data of a meta-analysis can be heterogeneous, referring to the differences...
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| Auteurs principaux: | , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Elsevier
2011
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3146723/ https://ncbi.nlm.nih.gov/pubmed/21565292 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ajhg.2011.04.014 |
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