ArticlePhysiological genomics2012
Gene expression analysis of whole blood, peripheral blood mononuclear cells, and lymphoblastoid cell lines from the Framingham Heart Study.
Article in Physiological genomics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03225183 (An RNA Sequencing Study in the Framingham Heart Study Third Generation Cohort Exam 2), which is not on this map. Cited by 42 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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.
An RNA Sequencing Study in the Framingham Heart Study Third Generation Cohort Exam 2
Who cites it
42 citing papers in PubMed, 81 citations in OpenAlex.
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- Selection of Stable Reference Genes for Gene Expression Studies in Activated and Non-Activated PBMCs Under Normoxic and Hypoxic Conditions.International journal of molecular sciences · 2025Article
- A twin analysis to estimate genetic and environmental factors contributing to variation in weighted gene co-expression network module eigengenes.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2025Article
- A novel statistical framework for meta-analysis of total mediation effect with high-dimensional omics mediators in large-scale genomic consortia.PLoS genetics · 2024Article
- Decreased mitochondrial-related gene expression in adipose tissue after acute sprint exercise in humans: A pilot study.Physiological reports · 2024Article
- Speeding up interval estimation forbioRxiv : the preprint server for biology · 2024Article
- RNA Sequencing of Whole Blood in Premature Coronary Artery Disease: Identification of Novel Biomarkers and Involvement of T Cell Imbalance.Journal of cardiovascular translational research · 2024Article
- A novel statistical framework for meta-analysis of total mediation effect with high-dimensional omics mediators in large-scale genomic consortia.bioRxiv : the preprint server for biology · 2024Article
- Genetic modification of inflammation- and clonal hematopoiesis-associated cardiovascular risk.The Journal of clinical investigation · 2023Article
- Achieving symptom relief in patients with myalgic encephalomyelitis by targeting the neuro-immune interface and optimizing disease tolerance.Oxford open immunology · 2023Article
- Identification of novel susceptibility methylation loci for pancreatic cancer in a two-phase epigenome-wide association study.Epigenetics · 2022Article
- In silico discovery of blood cell macromolecular associations.BMC genomic data · 2022Article
- Association of circulating gene expression signatures with stiffness following total knee arthroplasty for osteoarthritis: a pilot study.Scientific reports · 2022Article
- Imputation-free reconstructions of three-dimensional chromosome architectures in human diploid single-cells using allele-specified contacts.Scientific reports · 2022Article
- Whole-Blood Transcriptional Profiles Enable Early Prediction of the Presence of Coronary Atherosclerosis and High-Risk Plaque Features at Coronary CT Angiography.Biomedicines · 2022Article
- Epigenetics of single-site and multi-site atherosclerosis in African Americans from the Genetic Epidemiology Network of Arteriopathy (GENOA).Clinical epigenetics · 2022Article
- Estimation of total mediation effect for high-dimensional omics mediators.BMC bioinformatics · 2021Article
- miRNA Mechanisms Underlying the Association of Beta Blocker Use and Bone Mineral Density.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2021Article
- Genetic Signatures of Acute Asthma Exacerbation Related With Ineffective Response to Corticosteroid.Allergy, asthma & immunology research · 2020Article
- Whole blood transcriptome profile at hospital admission discriminates between patients with ST-segment elevation and non-ST-segment elevation acute myocardial infarction.Scientific reports · 2020Article
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
Abstract
Despite a growing number of reports of gene expression analysis from blood-derived RNA sources, there have been few systematic comparisons of various RNA sources in transcriptomic analysis or for biomarker discovery in the context of cardiovascular disease (CVD). As a pilot study of the Systems Approach to Biomarker Research (SABRe) in CVD Initiative, this investigation used Affymetrix Exon arrays to characterize gene expression of three blood-derived RNA sources: lymphoblastoid cell lines (LCL), whole blood using PAXgene tubes (PAX), and peripheral blood mononuclear cells (PBMC). Their performance was compared in relation to identifying transcript associations with sex and CVD risk factors, such as age, high-density lipoprotein, and smoking status, and the differential blood cell count. We also identified a set of exons that vary substantially between participants, but consistently in each RNA source. Such exons are thus stable phenotypes of the participant and may potentially become useful fingerprinting biomarkers. In agreement with previous studies, we found that each of the RNA sources is distinct. Unlike PAX and PBMC, LCL gene expression showed little association with the differential blood count. LCL, however, was able to detect two genes related to smoking status. PAX and PBMC identified Y-chromosome probe sets similarly and slightly better than LCL.
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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.