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Whole Blood Gene Expression and Atrial Fibrillation: The Framingham Heart Study

BACKGROUND: Atrial fibrillation (AF) involves substantial electrophysiological, structural and contractile remodeling. We hypothesize that characterizing gene expression might uncover important pathways related to AF. METHODS AND RESULTS: We performed genome-wide whole blood transcriptomic profiling...

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Detalles Bibliográficos
Autores principales: Lin, Honghuang, Yin, Xiaoyan, Lunetta, Kathryn L., Dupuis, Josée, McManus, David D., Lubitz, Steven A., Magnani, Jared W., Joehanes, Roby, Munson, Peter J., Larson, Martin G., Levy, Daniel, Ellinor, Patrick T., Benjamin, Emelia J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4013062/
https://www.ncbi.nlm.nih.gov/pubmed/24805109
http://dx.doi.org/10.1371/journal.pone.0096794
Descripción
Sumario:BACKGROUND: Atrial fibrillation (AF) involves substantial electrophysiological, structural and contractile remodeling. We hypothesize that characterizing gene expression might uncover important pathways related to AF. METHODS AND RESULTS: We performed genome-wide whole blood transcriptomic profiling (Affymetrix Human Exon 1.0 ST Array) of 2446 participants (mean age 66±9 years, 55% women) from the Offspring cohort of Framingham Heart Study. The study included 177 participants with prevalent AF, 143 with incident AF during up to 7 years follow up, and 2126 participants with no AF. We identified seven genes statistically significantly up-regulated with prevalent AF. The most significant gene, PBX1 (P = 2.8×10(−7)), plays an important role in cardiovascular development. We integrated differential gene expression with gene-gene interaction information to identify several signaling pathways possibly involved in AF-related transcriptional regulation. We did not detect any statistically significant transcriptomic associations with incident AF. CONCLUSION: We examined associations of gene expression with AF in a large community-based cohort. Our study revealed several genes and signaling pathways that are potentially involved in AF-related transcriptional regulation.