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Genetic Drivers of Epigenetic and Transcriptional Variation in Human Immune Cells

Overview of attention for article published in Cell, November 2016
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Citations

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574 Dimensions

Readers on

mendeley
795 Mendeley
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10 CiteULike
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Title
Genetic Drivers of Epigenetic and Transcriptional Variation in Human Immune Cells
Published in
Cell, November 2016
DOI 10.1016/j.cell.2016.10.026
Pubmed ID
Authors

Lu Chen, Bing Ge, Francesco Paolo Casale, Louella Vasquez, Tony Kwan, Diego Garrido-Martín, Stephen Watt, Ying Yan, Kousik Kundu, Simone Ecker, Avik Datta, David Richardson, Frances Burden, Daniel Mead, Alice L. Mann, Jose Maria Fernandez, Sophia Rowlston, Steven P. Wilder, Samantha Farrow, Xiaojian Shao, John J. Lambourne, Adriana Redensek, Cornelis A. Albers, Vyacheslav Amstislavskiy, Sofie Ashford, Kim Berentsen, Lorenzo Bomba, Guillaume Bourque, David Bujold, Stephan Busche, Maxime Caron, Shu-Huang Chen, Warren Cheung, Oliver Delaneau, Emmanouil T. Dermitzakis, Heather Elding, Irina Colgiu, Frederik O. Bagger, Paul Flicek, Ehsan Habibi, Valentina Iotchkova, Eva Janssen-Megens, Bowon Kim, Hans Lehrach, Ernesto Lowy, Amit Mandoli, Filomena Matarese, Matthew T. Maurano, John A. Morris, Vera Pancaldi, Farzin Pourfarzad, Karola Rehnstrom, Augusto Rendon, Thomas Risch, Nilofar Sharifi, Marie-Michelle Simon, Marc Sultan, Alfonso Valencia, Klaudia Walter, Shuang-Yin Wang, Mattia Frontini, Stylianos E. Antonarakis, Laura Clarke, Marie-Laure Yaspo, Stephan Beck, Roderic Guigo, Daniel Rico, Joost H.A. Martens, Willem H. Ouwehand, Taco W. Kuijpers, Dirk S. Paul, Hendrik G. Stunnenberg, Oliver Stegle, Kate Downes, Tomi Pastinen, Nicole Soranzo

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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 86 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 795 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 <1%
United Kingdom 6 <1%
Germany 2 <1%
Sweden 2 <1%
Spain 2 <1%
South Africa 1 <1%
Netherlands 1 <1%
Mexico 1 <1%
France 1 <1%
Other 2 <1%
Unknown 771 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 183 23%
Student > Ph. D. Student 182 23%
Student > Master 71 9%
Student > Bachelor 54 7%
Student > Doctoral Student 39 5%
Other 136 17%
Unknown 130 16%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 243 31%
Agricultural and Biological Sciences 199 25%
Immunology and Microbiology 58 7%
Medicine and Dentistry 53 7%
Computer Science 31 4%
Other 62 8%
Unknown 149 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 88. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 March 2024.
All research outputs
#492,226
of 26,017,215 outputs
Outputs from Cell
#2,492
of 17,318 outputs
Outputs of similar age
#9,394
of 322,280 outputs
Outputs of similar age from Cell
#53
of 165 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 17,318 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 59.7. This one has done well, scoring higher than 85% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 322,280 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 165 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.