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Integrative analysis of 111 reference human epigenomes

Authors :
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
Kundaje, Anshul
Meuleman, Wouter
Ernst, Jason
Yen, Angela
Kheradpour, Pouya
Zhang, Zhizhuo
Wang, Jianrong
Ward, Lucas D.
Sarkar, Abhishek Kulshreshtha
Quon, Gerald
Eaton, Matthew Lucas
Wu, Yi-Chieh
Pfenning, Andreas R.
Wang, Xinchen
Claussnitzer, Melina
Liu, Yaping
Bansal, Mukul S.
Feizi-Khankandi, Soheil
Kim, Ah Ram
Cowper Sal-lari, Richard
Sinnott-Armstrong, Nicholas A.
Kellis, Manolis
Boyer, Laurie
Gjoneska, Elizabeta
Tsai, Li-Huei
Feizi- Khankandi, Soheil
Boyer, Laurie Ann
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
Kundaje, Anshul
Meuleman, Wouter
Ernst, Jason
Yen, Angela
Kheradpour, Pouya
Zhang, Zhizhuo
Wang, Jianrong
Ward, Lucas D.
Sarkar, Abhishek Kulshreshtha
Quon, Gerald
Eaton, Matthew Lucas
Wu, Yi-Chieh
Pfenning, Andreas R.
Wang, Xinchen
Claussnitzer, Melina
Liu, Yaping
Bansal, Mukul S.
Feizi-Khankandi, Soheil
Kim, Ah Ram
Cowper Sal-lari, Richard
Sinnott-Armstrong, Nicholas A.
Kellis, Manolis
Boyer, Laurie
Gjoneska, Elizabeta
Tsai, Li-Huei
Feizi- Khankandi, Soheil
Boyer, Laurie Ann
Source :
PMC
Publication Year :
2016

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.<br />National Human Genome Research Institute (U.S.) (RC1HG005334)<br />National Human Genome Research Institute (U.S.) (R01HG004037)<br />National Human Genome Research Institute (U.S.) (R01HG004037-S1)<br />National Human Genome Research Institute (U.S.) (RO1NS078839)<br />National Science Foundation (U.S.) (CAREER Award 1254200)

Details

Database :
OAIster
Journal :
PMC
Notes :
application/pdf, en_US
Publication Type :
Electronic Resource
Accession number :
edsoai.on1141895507
Document Type :
Electronic Resource