dc.contributor.author | Lin, H | |
dc.contributor.author | Joehanes, R | |
dc.contributor.author | Pilling, LC | |
dc.contributor.author | Dupuis, J | |
dc.contributor.author | Lunetta, KL | |
dc.contributor.author | Ying, SX | |
dc.contributor.author | Benjamin, EJ | |
dc.contributor.author | Hernandez, Dena | |
dc.contributor.author | Singleton, A | |
dc.contributor.author | Melzer, D | |
dc.contributor.author | Munson, PJ | |
dc.contributor.author | Levy, D | |
dc.contributor.author | Ferrucci, L | |
dc.contributor.author | Murabito, JM | |
dc.date.accessioned | 2015-06-09T09:37:19Z | |
dc.date.issued | 2014-12 | |
dc.description.abstract | BACKGROUND: Circulating interleukin-6 levels increase with advancing age and are a risk factor for various diseases and mortality. The characterization of gene expression profiles associated with interleukin-6 levels might suggest important molecular events underlying its regulation. METHODS AND RESULTS: We studied the association of transcriptional profiles with interleukin-6 levels in 2422 participants from the Framingham Heart Study Offspring Cohort using Affymetrix Human Exon 1.0 ST Array. We identified 4139 genes that were significantly associated with interleukin-6 levels (FDR<0.05) after adjusting for age, sex and blood cell components. We then replicated 807 genes in the InCHIANTI study with 694 participants. Many of the top genes are involved in inflammation-related pathways or erythrocyte function, including JAK/Stat signaling pathway and interleukin-10 signaling pathway. CONCLUSION: We identified and replicated 807 genes that were associated with circulating interleukin-6 levels. Future characterization of interleukin-6 regulation networks may facilitate the identification of additional potential targets for treating inflammation-related diseases. | en_GB |
dc.description.sponsorship | National Institutes of Health | en_GB |
dc.description.sponsorship | National Institute on Aging | en_GB |
dc.description.sponsorship | Wellcome Trust | en_GB |
dc.description.sponsorship | National Heart, Lung, and Blood Institute | en_GB |
dc.identifier.citation | Vol. 104 (6) Part B, pp. 490 - 495 | en_GB |
dc.identifier.doi | 10.1016/j.ygeno.2014.10.003 | |
dc.identifier.uri | http://hdl.handle.net/10871/17463 | |
dc.language.iso | en | en_GB |
dc.publisher | Elsevier | en_GB |
dc.relation.url | http://www.ncbi.nlm.nih.gov/pubmed/25311648 | en_GB |
dc.rights.embargoreason | Publisher's policy | en_GB |
dc.rights | © 2014, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ | en_GB |
dc.subject | Epidemiology | en_GB |
dc.subject | Gene expression | en_GB |
dc.subject | Inflammation | en_GB |
dc.subject | Interleukin-6 | en_GB |
dc.title | Whole blood gene expression and interleukin-6 levels. | en_GB |
dc.type | Article | en_GB |
dc.identifier.issn | 0888-7543 | |
exeter.place-of-publication | United States | |
dc.description | This is the author’s version of a work that was accepted for publication in Genomics. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published at doi:10.1016/j.ygeno.2014.10.003. | en_GB |
dc.identifier.journal | Genomics | en_GB |