Discovery and validation of sub-threshold genome-wide association study loci using epigenomic signatures

Genetic variants identified by genome-wide association studies explain only a modest proportion of heritability, suggesting that meaningful associations lie 'hidden' below current thresholds. Here, we integrate information from association studies with epigenomic maps to demonstrate that e...

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Bibliographic Details
Main Authors: Wang, Xinchen, Rizki, Gizem, Mills, Robert, de Wit, Elzo, Subramanian, Vidya, Nguyen, Xinh-Xinh, Ye, Jiangchuan, Leyton-Mange, Jordan, van der Harst, Pim, de Laat, Wouter, Newton-Cheh, Christopher, Kellis, Manolis, Tucker, Nathan R., Krijger, Peter H. L., Bartell, Eric R., Dolmatova, Elena V., Ellinor, Patrick T., Milan, David J., Boyer, Laurie Ann
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:en_US
Published: eLife Sciences Publications, Ltd. 2016
Online Access:http://hdl.handle.net/1721.1/102452
https://orcid.org/0000-0003-2560-1606
https://orcid.org/0000-0003-3491-4962