Evidence map›Paper›PMID 38190102›Full record

ArticleCell genomics2024

Non-additive genetic components contribute significantly to population-wide gene expression variation.

Andreas Tsouris, Gauthier Brach, Joseph Schacherer, Jing Hou

Abstract read
In one paragraph

Article in Cell genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. ASPEN: Robust detection of allelic dynamics in single cell RNA-seq.bioRxiv : the preprint server for biology · 2025
    Article
  8. Article
  9. Article
  10. High- or Low-Yielding FInternational journal of molecular sciences · 2024
    Article
  11. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Andreas TsourisUniversité de Strasbourg, CNRS, GMGM UMR, 7156 Strasbourg, France.
Gauthier BrachUniversité de Strasbourg, CNRS, GMGM UMR, 7156 Strasbourg, France.
Joseph SchachererUniversité de Strasbourg, CNRS, GMGM UMR, 7156 Strasbourg, France; Institut Universitaire de France (IUF), Paris, France. Electronic address: schacherer@unistra.fr.
Jing HouUniversité de Strasbourg, CNRS, GMGM UMR, 7156 Strasbourg, France. Electronic address: jing.hou@unistra.fr.

Funding

Species-wide survey of the phenotypic impact of genomic structural variation in yeastR01GM147040 · NIGMS · UNIVERSITY OF WASHINGTON · PI DUNHAM, MAITREYA J · 2022 to 2025
$1.1M
NIGMS NIH HHS R01 GM147040
6 · The paper itself

Abstract

Gene expression variation, an essential step between genotype and phenotype, is collectively controlled by local (cis) and distant (trans) regulatory changes. Nevertheless, how these regulatory elements differentially influence gene expression variation remains unclear. Here, we bridge this gap by analyzing the transcriptomes of a large diallel panel consisting of 323 unique hybrids originating from genetically divergent Saccharomyces cerevisiae isolates. Our analysis across 5,087 transcript abundance traits showed that non-additive components account for 36% of the gene expression variance on average. By comparing allele-specific read counts in parent-hybrid trios, we found that trans-regulatory changes underlie the majority of gene expression variation in the population. Remarkably, most cis-regulatory variations are also exaggerated or attenuated by additional trans effects. Overall, we showed that the transcriptome is globally buffered at the genetic level mainly due to trans-regulatory variation in the population.

Indexed as

Saccharomyces cerevisiaeTranscriptomeAllelesGenotypePhenotypediallel crossesgene expression regulationheritabilitytranscriptome bufferingyeast

Identifiers

PMID38190102
PMCPMC10794783

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.