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Integration of a priori gene set information into genome-wide association studies
In genome-wide association studies (GWAS) genetic markers are often ranked to select genes for further pursuit. Especially for moderately associated and interrelated genes, information on genes and pathways may improve the selection. We applied and combined two main approaches for data integration t...
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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
BioMed Central
2009
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2795999/ https://ncbi.nlm.nih.gov/pubmed/20018092 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1753-6561-3-S7-S95 |
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