Integrative analysis of haplotype-resolved epigenomes across human tissues

Danny Leung, Inkyung Jung, Nisha Rajagopal, Anthony Schmitt, Siddarth Selvaraj, Ah Young Lee, Chia-An Yen, Shin Lin, Yiing Lin, Yunjiang Qiu, Wei Xie, Feng Yue, Manoj Hariharan, Pradipta Ray, Samantha Kuan, Lee Edsall, Hongbo Yang, Neil C. Chi, Michael Q. Zhang, Joseph R. Ecker and Bing Ren ()
Additional contact information
Danny Leung: Ludwig Institute for Cancer Research
Inkyung Jung: Ludwig Institute for Cancer Research
Nisha Rajagopal: Ludwig Institute for Cancer Research
Anthony Schmitt: Ludwig Institute for Cancer Research
Siddarth Selvaraj: Ludwig Institute for Cancer Research
Ah Young Lee: Ludwig Institute for Cancer Research
Chia-An Yen: Ludwig Institute for Cancer Research
Shin Lin: Stanford University, 300 Pasteur Drive, M-344 Stanford, California 94305, USA
Yiing Lin: Stanford University, 300 Pasteur Drive, M-344 Stanford, California 94305, USA
Yunjiang Qiu: Ludwig Institute for Cancer Research
Wei Xie: Tsinghua University–Peking University Center for Life Sciences, School of Life Sciences, Tsinghua University
Feng Yue: College of Medicine, The Pennsylvania State University
Manoj Hariharan: Genomic Analysis Laboratory, Howard Hughes Medical Institute, The Salk Institute for Biological Studies
Pradipta Ray: Biological Sciences, Center for Systems Biology, The University of Texas at Dallas
Samantha Kuan: Ludwig Institute for Cancer Research
Lee Edsall: Ludwig Institute for Cancer Research
Hongbo Yang: University of California
Neil C. Chi: University of California
Michael Q. Zhang: Biological Sciences, Center for Systems Biology, The University of Texas at Dallas
Joseph R. Ecker: Genomic Analysis Laboratory, Howard Hughes Medical Institute, The Salk Institute for Biological Studies
Bing Ren: Ludwig Institute for Cancer Research

Nature, 2015, vol. 518, issue 7539, 350-354

Abstract: As part of the Epigenome Roadmap project, this study uses a chromosome-spanning haplotype reconstruction strategy to construct haplotype-resolved epigenomic maps for a diverse set of human tissues; the maps reveal extensive allelic biases in chromatin state and transcription, which vary across individuals due to genetic backgrounds.

Date: 2015
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DOI: 10.1038/nature14217

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