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111077 |
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|a dc
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|a Marbach, Daniel
|e author
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|a Broad Institute of MIT and Harvard
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|a Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
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|a Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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|a Quon, Gerald
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|a Kellis, Manolis
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|a Lamparter, David
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|a Quon, Gerald
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|a Kellis, Manolis
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|a Kutalik, Zoltán
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|a Bergmann, Sven
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|a Tissue-specific regulatory circuits reveal variable modular perturbations across complex diseases
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|b Nature Publishing Group,
|c 2017-08-31T17:40:05Z.
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|z Get fulltext
|u http://hdl.handle.net/1721.1/111077
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|a Mapping perturbed molecular circuits that underlie complex diseases remains a great challenge. We developed a comprehensive resource of 394 cell type- and tissue-specific gene regulatory networks for human, each specifying the genome-wide connectivity among transcription factors, enhancers, promoters and genes. Integration with 37 genome-wide association studies (GWASs) showed that disease-associated genetic variants-including variants that do not reach genome-wide significance-often perturb regulatory modules that are highly specific to disease-relevant cell types or tissues. Our resource opens the door to systematic analysis of regulatory programs across hundreds of human cell types and tissues
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|a en_US
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|a Article
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|t Nature Methods
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