Common Genetic Variants Modulate Pathogen-Sensing Responses in Human Dendritic Cells

Little is known about how human genetic variation affects the responses to environmental stimuli in the context of complex diseases. Experimental and computational approaches were applied to determine the effects of genetic variation on the induction of pathogen-responsive genes in human dendritic c...

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Main Authors: Lee, M. N. (Author), Ye, C. (Author), Villani, A.-C (Author), Raj, T. (Author), Li, W. (Author), Eisenhaure, Thomas (Author), Imboywa, S. H. (Author), Chipendo, P. I. (Author), Slowikowski, K. (Author), Raddassi, K. (Author), McCabe, C. (Author), Lee, M. H. (Author), Frohlich, I. Y. (Author), Raychaudhuri, S. (Author), Stranger, B. E. (Author), Benoist, Christophe (Author), De Jager, Philip L. (Author), Hacohen, Nir (Author), Ran, F. Ann (Contributor), Zhang, Feng (Contributor), Regev, Aviv (Contributor), Hafler, David A. (Contributor), Ward, Lucas D. (Contributor), Kellis, Manolis (Contributor)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Biological Engineering (Contributor), Massachusetts Institute of Technology. Department of Biology (Contributor), Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor), McGovern Institute for Brain Research at MIT (Contributor)
Format: Article
Language:English
Published: American Association for the Advancement of Science (AAAS), 2015-04-22T15:43:50Z.
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