ArticlePloS one2014
Whole blood gene expression and atrial fibrillation: the Framingham Heart Study.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.
- The transcriptional landscape of atrial fibrillation: A systematic review and meta-analysis.PloS one · 2025Pooled it
- Gene Expression Profiles for the Identification of Prevalent Atrial Fibrillation.Journal of the American Heart Association · 2017Trial
- Uncovering Novel Atrial Fibrillation Genetics Through Pleiotropic Overlap with Life's Essential 8.Biomedicines · 2026Article
- The cardiac blood transcriptome predicts de novo onset of atrial fibrillation in heart failure.Journal of molecular and cellular cardiology plus · 2024Article
- Peripheral blood RNA biomarkers for cardiovascular disease from bench to bedside: a position paper from the EU-CardioRNA COST action CA17129.Cardiovascular research · 2022Article
- Genetic and Metabolic Determinants of Atrial Fibrillation in a General Population Sample: The CHRIS Study.Biomolecules · 2021Article
- New biomarkers from multiomics approaches: improving risk prediction of atrial fibrillation.Cardiovascular research · 2021Review
- Transport of L-Arginine Related Cardiovascular Risk Markers.Journal of clinical medicine · 2020Review
- Insight into atrial fibrillation through analysis of the coding transcriptome in humans.Biophysical reviews · 2020Review
- Integrative Omics Approach to Identifying Genes Associated With Atrial Fibrillation.Circulation research · 2020Article
- Article
- Investigation of leukocyteExperimental and therapeutic medicine · 2019Article
- Whole Blood Gene Expression Associated With Clinical Biological Age.The journals of gerontology. Series A, Biological sciences and medical sciences · 2019Article
- Article
- Whole blood gene expression and white matter Hyperintensities.Molecular neurodegeneration · 2017Article
- Leukocyte TRP channel gene expressions in patients with non-valvular atrial fibrillation.Scientific reports · 2017Article
- Methylome-wide Association Study of Atrial Fibrillation in Framingham Heart Study.Scientific reports · 2017Article
- Whole Blood Gene Expression Differentiates between Atrial Fibrillation and Sinus Rhythm after Cardioversion.PloS one · 2016Article
Corrections and comments
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Authors and funding
13 authors at 5 institutions in 1 country.
Funding
Abstract
backgroundAtrial fibrillation (AF) involves substantial electrophysiological, structural and contractile remodeling. We hypothesize that characterizing gene expression might uncover important pathways related to AF. METHODS AND
resultsWe 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.
conclusionWe 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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.