Evidence map›Paper›PMID 28471485›Full record

ReviewBioEssays : news and reviews in molecular, cellular and developmental biology2017

Genetic suppression: Extending our knowledge from lab experiments to natural populations.

Takeshi Matsui, Jonathan T Lee, Ian M Ehrenreich

Abstract readReview
In one paragraph

Review in BioEssays : news and reviews in molecular, cellular and developmental biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 34% of its field
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

5 citing papers in PubMed, 22 citations in OpenAlex.

  1. Review
  2. Article
  3. Decanalizing thinking on genetic canalization.Seminars in cell & developmental biology · 2019
    Review
  4. Review
  5. 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

3 authors at 1 institution in 1 country.

Takeshi MatsuiMolecular and Computational Biology Section, Department of Biological Sciences, University of Southern California, Los Angeles, CA, USA.
Jonathan T LeeMolecular and Computational Biology Section, Department of Biological Sciences, University of Southern California, Los Angeles, CA, USA.
Ian M EhrenreichMolecular and Computational Biology Section, Department of Biological Sciences, University of Southern California, Los Angeles, CA, USA.
University of Southern California · US

Funding

Comprehensive dissection of higher-order genetic interactionsR01GM110255 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI EHRENREICH, IAN MICHAEL · 2014 to 2018
$1.4M
NIGMS NIH HHS R01 GM110255
6 · The paper itself

Abstract

Many mutations have deleterious phenotypic effects that can be alleviated by suppressor mutations elsewhere in the genome. High-throughput approaches have facilitated the large-scale identification of these suppressors and have helped shed light on core functional mechanisms that give rise to suppression. Following reports that suppression occurs naturally within species, it is important to determine how our understanding of this phenomenon based on lab experiments extends to genetically diverse natural populations. Although suppression is typically mediated by individual genetic changes in lab experiments, recent studies have shown that suppression in natural populations can involve combinations of genetic variants. This difference in complexity suggests that sets of variants can exhibit similar functional effects to individual suppressors found in lab experiments. In this review, we discuss how characterizing the way in which these variants jointly lead to suppression could provide important insights into the genotype-phenotype map that are relevant to evolution and health.

Indexed as

Genetic Association StudiesGenetics, PopulationGenomeGenotypeHumansMutationPhenotypeSuppression, Geneticcomplex traitsepistasisgenetic interactiongenotype-phenotype mapnatural genetic variationpositive genetic interactionssuppressors

Identifiers

PMID28471485
PMCPMC5736388
OpenAlexW2611153210

What OpenQuestion 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 OpenQuestion graph.