Evidence map›Paper›PMID 37410774›Full record

ArticlePLoS genetics2023

Characterizing the landscape of gene expression variance in humans.

Scott Wolf, Diogo Melo, Kristina M Garske, Luisa F Pallares, Amanda J Lea, Julien F Ayroles

Abstract read
In one paragraph

Article in PLoS genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

33 citing papers in PubMed.

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  11. Interaction Between Enhancers and Promoters in Chicken Genome.International journal of molecular sciences · 2025
    Article
  12. Article
  13. Review
  14. Long-term temporal stability of circulating proteins in older adults.bioRxiv : the preprint server for biology · 2025
    Article
  15. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Scott WolfLewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey, United States of America.ORCID 0000-0003-4397-1395
Diogo MeloLewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey, United States of America.ORCID 0000-0002-7603-0092
Kristina M GarskeLewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey, United States of America.ORCID 0000-0002-7228-8125
Luisa F PallaresLewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey, United States of America.ORCID 0000-0001-6547-1901
Amanda J LeaDepartment of Biological Sciences, Vanderbilt University, Nashville, Tennessee, United States of America.ORCID 0000-0002-8827-2750
Julien F AyrolesLewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey, United States of America.ORCID 0000-0001-8729-0511

Funding

A path to personalized phenotypic prediction: unlocking the context-dependency of allelic effectsR35GM124881 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI Julien Ayroles · 2017 to 2026
$3.7M
Improved methods for inference of genotype-specific response to environmental toxinsR01ES029929 · NIEHS · PRINCETON UNIVERSITY · PI AYROLES, JULIEN, CLARK, ANDREW G · 2019 to 2023
$3.6M
Early life environmental effects: molecular mechanisms and inter-individual variationR35GM147267 · NIGMS · VANDERBILT UNIVERSITY · PI Amanda Lea · 2022 to 2026
$2.0M
Understanding the contribution of genotype-by-lifestyle interactions to cardiometabolic risk in individuals of east African ancestryF32ES034668 · NIEHS · PRINCETON UNIVERSITY · PI GARSKE, KRISTINA MARIE · 2022 to 2024
$213k
NIEHS NIH HHS F32 ES034668NIEHS NIH HHS R01 ES029929NIGMS NIH HHS R35 GM124881NIGMS NIH HHS R35 GM147267
6 · The paper itself

Abstract

Gene expression variance has been linked to organismal function and fitness but remains a commonly neglected aspect of molecular research. As a result, we lack a comprehensive understanding of the patterns of transcriptional variance across genes, and how this variance is linked to context-specific gene regulation and gene function. Here, we use 57 large publicly available RNA-seq data sets to investigate the landscape of gene expression variance. These studies cover a wide range of tissues and allowed us to assess if there are consistently more or less variable genes across tissues and data sets and what mechanisms drive these patterns. We show that gene expression variance is broadly similar across tissues and studies, indicating that the pattern of transcriptional variance is consistent. We use this similarity to create both global and within-tissue rankings of variation, which we use to show that function, sequence variation, and gene regulatory signatures contribute to gene expression variance. Low-variance genes are associated with fundamental cell processes and have lower levels of genetic polymorphisms, have higher gene-gene connectivity, and tend to be associated with chromatin states associated with transcription. In contrast, high-variance genes are enriched for genes involved in immune response, environmentally responsive genes, immediate early genes, and are associated with higher levels of polymorphisms. These results show that the pattern of transcriptional variance is not noise. Instead, it is a consistent gene trait that seems to be functionally constrained in human populations. Furthermore, this commonly neglected aspect of molecular phenotypic variation harbors important information to understand complex traits and disease.

Indexed as

Gene Expression RegulationGene ExpressionHumansPhenotypeRNA-Seq

Identifiers

PMID37410774
PMCPMC10353820

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.