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https://doi.org/10.1016/j.cell.2016.10.026
Title: | Genetic Drivers of Epigenetic and Transcriptional Variation in Human Immune Cells | Authors: | Chen, Lu Ge, Bing Casale, Francesco Paolo Vasquez, Louella Kwan, Tony Garrido-Martin, Diego Watt, Stephen Yan, Ying Kundu, Kousik Ecker, Simone Datta, Avik Richardson, David Burden, Frances Mead, Daniel Mann, Alice L Maria Fernandez, Jose Rowlston, Sophia Wilder, Steven P Farrow, Samantha Shao, Xiaojian Lambourne, John J Redensek, Adriana Albers, Cornelis A Amstislavskiy, Vyacheslav Ashford, Sofie Berentsen, Kim Bomba, Lorenzo Bourque, Guillaume Bujold, David Busche, Stephan Caron, Maxime Chen, Shu-Huang Cheung, Warren Delaneau, Oliver Dermitzakis, Emmanouil T Elding, Heather Colgiu, Irina Bagger, Frederik O Flicek, Paul Habibi, Ehsan Iotchkova, Valentina Janssen-Megens, Eva Kim, Bowon Lehrach, Hans Lowy, Ernesto Mandoli, Amit Matarese, Filomena Maurano, Matthew T Morris, John A Pancaldi, Vera Pourfarzad, Farzin Rehnstrom, Karola Rendon, Augusto Risch, Thomas Sharifi, Nilofar Simon, Marie-Michelle Sultan, Marc Valencia, Alfonso Walter, Klaudia Wang, Shuang-Yin Frontini, Mattia Antonarakis, Stylianos E Clarke, Laura Yaspo, Marie-Laure Beck, Stephan Guigo, Roderic Rico, Daniel Martens, Joost HA Ouwehand, Willem H Kuijpers, Taco W Paul, Dirk S Stunnenberg, Hendrik G Stegle, Oliver Downes, Kate Pastinen, Tomi Soranzo, Nicole |
Keywords: | Science & Technology Life Sciences & Biomedicine Biochemistry & Molecular Biology Cell Biology WHOLE-GENOME ASSOCIATION TEC FAMILY KINASES DNA METHYLATION SUSCEPTIBILITY LOCI EXPRESSION DISEASE ARCHITECTURE DISCOVERY VARIANTS SEQ |
Issue Date: | 17-Nov-2016 | Publisher: | CELL PRESS | Citation: | Chen, Lu, Ge, Bing, Casale, Francesco Paolo, Vasquez, Louella, Kwan, Tony, Garrido-Martin, Diego, Watt, Stephen, Yan, Ying, Kundu, Kousik, Ecker, Simone, Datta, Avik, Richardson, David, Burden, Frances, Mead, Daniel, Mann, Alice L, Maria Fernandez, Jose, Rowlston, Sophia, Wilder, Steven P, Farrow, Samantha, Shao, Xiaojian, Lambourne, John J, Redensek, Adriana, Albers, Cornelis A, Amstislavskiy, Vyacheslav, Ashford, Sofie, Berentsen, Kim, Bomba, Lorenzo, Bourque, Guillaume, Bujold, David, Busche, Stephan, Caron, Maxime, Chen, Shu-Huang, Cheung, Warren, Delaneau, Oliver, Dermitzakis, Emmanouil T, Elding, Heather, Colgiu, Irina, Bagger, Frederik O, Flicek, Paul, Habibi, Ehsan, Iotchkova, Valentina, Janssen-Megens, Eva, Kim, Bowon, Lehrach, Hans, Lowy, Ernesto, Mandoli, Amit, Matarese, Filomena, Maurano, Matthew T, Morris, John A, Pancaldi, Vera, Pourfarzad, Farzin, Rehnstrom, Karola, Rendon, Augusto, Risch, Thomas, Sharifi, Nilofar, Simon, Marie-Michelle, Sultan, Marc, Valencia, Alfonso, Walter, Klaudia, Wang, Shuang-Yin, Frontini, Mattia, Antonarakis, Stylianos E, Clarke, Laura, Yaspo, Marie-Laure, Beck, Stephan, Guigo, Roderic, Rico, Daniel, Martens, Joost HA, Ouwehand, Willem H, Kuijpers, Taco W, Paul, Dirk S, Stunnenberg, Hendrik G, Stegle, Oliver, Downes, Kate, Pastinen, Tomi, Soranzo, Nicole (2016-11-17). Genetic Drivers of Epigenetic and Transcriptional Variation in Human Immune Cells. CELL 167 (5) : 1398-+. ScholarBank@NUS Repository. https://doi.org/10.1016/j.cell.2016.10.026 | Abstract: | Characterizing the multifaceted contribution of genetic and epigenetic factors to disease phenotypes is a major challenge in human genetics and medicine. We carried out high-resolution genetic, epigenetic, and transcriptomic profiling in three major human immune cell types (CD14+ monocytes, CD16+ neutrophils, and naive CD4+ T cells) from up to 197 individuals. We assess, quantitatively, the relative contribution of cis-genetic and epigenetic factors to transcription and evaluate their impact as potential sources of confounding in epigenome-wide association studies. Further, we characterize highly coordinated genetic effects on gene expression, methylation, and histone variation through quantitative trait locus (QTL) mapping and allele-specific (AS) analyses. Finally, we demonstrate colocalization of molecular trait QTLs at 345 unique immune disease loci. This expansive, high-resolution atlas of multi-omics changes yields insights into cell-type-specific correlation between diverse genomic inputs, more generalizable correlations between these inputs, and defines molecular events that may underpin complex disease risk. | Source Title: | CELL | URI: | https://scholarbank.nus.edu.sg/handle/10635/155035 | ISSN: | 0092-8674 1097-4172 |
DOI: | 10.1016/j.cell.2016.10.026 |
Appears in Collections: | Staff Publications Elements |
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