Integrative analysis of 111 reference human epigenomes
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Author(s)
Kundaje, Anshul
Meuleman, Wouter
Ernst, Jason
Yen, Angela
Kheradpour, Pouya
Zhang, Zhizhuo
Wang, Jianrong
Ward, Lucas D.
Sarkar, Abhishek Kulshreshtha
Quon, Gerald
Date Issued
February 2015
Journal
Nature
Publisher
Nature Publishing Group
Citation
Kundaje, Anshul, Wouter Meuleman, Jason Ernst, Misha Bilenky, Angela Yen, Alireza Heravi-Moussavi, Pouya Kheradpour, et al. “Integrative Analysis of 111 Reference Human Epigenomes.” Nature 518, no. 7539 (February 18, 2015): 317–330.
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Author's final manuscript
Abstract
The reference human genome sequence set the stage for studies of genetic variation and its association with human disease, but epigenomic studies lack a similar reference. To address this need, the NIH Roadmap Epigenomics Consortium generated the largest collection so far of human epigenomes for primary cells and tissues. Here we describe the integrative analysis of 111 reference human epigenomes generated as part of the programme, profiled for histone modification patterns, DNA accessibility, DNA methylation and RNA expression. We establish global maps of regulatory elements, define regulatory modules of coordinated activity, and their likely activators and repressors. We show that disease- and trait-associated genetic variants are enriched in tissue-specific epigenomic marks, revealing biologically relevant cell types for diverse human traits, and providing a resource for interpreting the molecular basis of human disease. Our results demonstrate the central role of epigenomic information for understanding gene regulation, cellular differentiation and human disease.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Biology
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Picower Institute for Learning and Memory
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DOI of Published Version
https://doi.org/10.1038/nature14248
