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Applying semantic web technologies for phenome-wide scan using an electronic health record linked Biobank
BACKGROUND: The ability to conduct genome-wide association studies (GWAS) has enabled new exploration of how genetic variations contribute to health and disease etiology. However, historically GWAS have been limited by inadequate sample size due to associated costs for genotyping and phenotyping of...
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| 主要な著者: | , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BioMed Central
2012
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3554594/ https://ncbi.nlm.nih.gov/pubmed/23244446 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/2041-1480-3-10 |
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