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...
Main Authors: | Li, Yue, Kellis, Manolis |
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Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
Format: | Article |
Language: | en_US |
Published: |
Oxford University Press
2016
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Online Access: | http://hdl.handle.net/1721.1/105218 |
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