Evidence map›Paper›PMID 28915487›Full record

ReviewCurrent opinion in genetics & development2017

Genetic backgrounds and hidden trait complexity in natural populations.

Téo Fournier, Joseph Schacherer

Abstract readReview
In one paragraph

Review in Current opinion in genetics & development, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Loss-of-function mutation survey revealed that genes with background-dependent fitness are rare and functionally related in yeast.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. mSphere · 2020
    Article
  18. Dissecting the eQTL Micro-Architecture inFrontiers in genetics · 2020
    Article
  19. Complex modifier landscape underlying genetic background effects.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  20. Article
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

2 authors.

Téo FournierUniversité de Strasbourg, CNRS, GMGM UMR 7156, F-67000 Strasbourg, France.
Joseph SchachererUniversité de Strasbourg, CNRS, GMGM UMR 7156, F-67000 Strasbourg, France. Electronic address: schacherer@unistra.fr.

Funding

Genetic basis of stress tolerance in natural populations of yeastR01GM101091 · NIGMS · UNIVERSITY OF WASHINGTON · PI DUNHAM, MAITREYA J, HESS, DAVID CHARLES · 2012 to 2020
$2.0M
NIGMS NIH HHS R01 GM101091
6 · The paper itself

Abstract

Dissecting the genetic basis of natural phenotypic variation is a major goal in biology. We know that most traits are strongly heritable. However, their genetic architecture is a long-standing question, which is unfortunately confounded by the lack of complete knowledge of the genetic components as well as their phenotypic effect in a specific genetic background. Many genetic variants are known to affect phenotypes but the same functional variant can have a different effect on the phenotype in different individuals of the same species. Understanding the impact of genetic background on the expressivity of a given phenotype is essential because this effect complicates our ability to predict phenotype from genotype. Here, we briefly review recent progress on the exploration of the effect of genetic background and we discuss how a deeper characterization of the inheritance, expressivity and genetic interactions hidden behind the phenotypic landscape of natural variation could provide a better understanding of the relationship between genotype and phenotype.

Indexed as

Epistasis, GeneticGenetic BackgroundModels, GeneticGenetic VariationGenotypeHumansPhenotypeQuantitative Trait Loci

Identifiers

PMID28915487
PMCPMC5716861

What Socratic holds

Textmetadata
LicenceTDM
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.