Joint Bayesian inference of risk variants and tissue-specific epigenomic enrichments across multiple complex human diseases
Genome wide association studies (GWAS) provide a powerful approach for uncovering disease-associated variants in human, but fine-mapping the causal variants remains a challenge. This is partly remedied by prioritization of disease-associated variants that overlap GWAS-enriched epigenomic annotations...
| 主要な著者: | , |
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| その他の著者: | |
| フォーマット: | 論文 |
| 言語: | en_US |
| 出版事項: |
Oxford University Press
2016
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| オンライン･アクセス: | http://hdl.handle.net/1721.1/105218 |