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Integrative analysis of 111 reference human epigenomes

Authors :
Daofeng Li
Tim R. Mercer
Wei Li
Lisa Helbling Chadwick
Jesse R. Dixon
Pouya Kheradpour
Joseph F. Costello
Pradipta R. Ray
John W. Whitaker
Peggy J. Farnham
Angela Tam
Vitor Onuchic
Robert A. Waterland
Misha Bilenky
James A. Thomson
Zhizhuo Zhang
Yaping Liu
Gerald Quon
Andrew J. Mungall
Steven J.M. Jones
Bradley E. Bernstein
Alexander Meissner
Melina Claussnitzer
Charles B. Epstein
Andreas R. Pfenning
Li-Huei Tsai
Laurie A. Boyer
Angela Yen
Ting Wang
Rajinder Kaul
Alireza Heravi-Moussavi
Danny Leung
Noam Shoresh
Michael T. McManus
Michael Stevens
John A. Stamatoyannopoulos
Mukul S. Bansal
Thea D. Tlsty
Susan J. Fisher
Manolis Kellis
Michael Q. Zhang
Aleksandar Milosavljevic
Viren Amin
Martin Hirst
Matthew D. Schultz
Joseph R. Ecker
Xinchen Wang
Jie Wu
Marco A. Marra
Kyle Siebenthall
Wei Wang
Ashwinikumar Kulkarni
Peter J. Sabo
R. Scott Hansen
Jianrong Wang
Michael J. Ziller
Richard A. Moore
Shane Neph
Richard C Sallari
Robert E. Thurman
Paz Polak
Wei Xie
Eric Chuah
Jason Ernst
Bing Ren
Nisha Rajagopal
Anshul Kundaje
Xin Zhou
Yi-Chieh Wu
Shamil R. Sunyaev
Ginell Elliott
Philippe Gascard
Soheil Feizi
Chibo Hong
R. Alan Harris
Ah Ram Kim
Philip L. De Jager
Rosa Karlic
R. David Hawkins
Matthew L. Eaton
Ryan Lister
Rebecca F. Lowdon
Annaick Carles
Elizabeta Gjoneska
David Haussler
Abhishek Sarkar
Nicholas A Sinnott-Armstrong
Wouter Meuleman
Lucas D. Ward
Kai How Farh
Richard Sandstrom
Arthur E. Beaudet
Theresa K. Canfield
Cristian Coarfa
Bo Zhang
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
Source :
PMC, Nature
Publication Year :
2014
Publisher :
Nature Publishing Group, 2014.

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

Language :
English
Database :
OpenAIRE
Journal :
PMC, Nature
Accession number :
edsair.doi.dedup.....9af3667ce2b614a8ae84b101ff001d0c