ArticleCurrent genetic medicine reports2013
Geographical, environmental and pathophysiological influences on the human blood transcriptome.
Article in Current genetic medicine reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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.
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Who cites it
5 citing papers in PubMed.
- Non-Coding RNA Biomarkers in Prostate Cancer: Evidence Mapping and In Silico Characterization.Life (Basel, Switzerland) · 2026Article
- Human blood cell transcriptomics unveils dynamic systemic immune modulation along colorectal cancer progression.Journal for immunotherapy of cancer · 2024Article
- Article
- Sleep disturbances and inflammatory gene expression among pregnant women: Differential responses by race.Brain, behavior, and immunity · 2020Article
- Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Gene expression variation provides a read-out of both genetic and environmental influences on gene activity. Geographical, genomic and sociogenomic studies have highlighted how life circumstances of an individual modify the expression of hundreds and in some cases thousands of genes in a co-ordinated manner. This review places such results in the context of a conserved set of 90 transcripts known as Blood Informative Transcripts (BIT) that capture the major conserved components of variation in the peripheral blood transcriptome. Pathophysiological states are also shown to associate with the perturbation of transcript abundance along the major axes. Discussion of false negative rates leads us to argue that simple significance thresholds provide a biased perspective on assessment of differential expression that may cloud the interpretation of studies with small sample sizes.
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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.