Evidence map›Paper›PMID 23453263›Full record

ReviewTrends in genetics : TIG2013

Does your gene need a background check? How genetic background impacts the analysis of mutations, genes, and evolution.

Christopher H Chandler, Sudarshan Chari, Ian Dworkin

Abstract readReview
In one paragraph

Review in Trends in genetics : TIG, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 113 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
113citing papers in PubMed, 2 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

113 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Role of the Genetic Background in Resistance to Plant Viruses.International journal of molecular sciences · 2018
    Pooled it
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  14. Strain variation inmSphere · 2024
    Article
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53 more citing papers are in PubMed but not listed here.

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.

Christopher H ChandlerDepartment of Zoology, BEACON Center for the Study of Evolution in Action, Michigan State University, East Lansing, MI, USA.
Sudarshan Chari
Ian Dworkin

Funding

Building, understanding and applying a dictionary of genetic effectsR01GM094424 · NIGMS · FLORIDA STATE UNIVERSITY · PI DWORKIN, IAN MICHAEL, HOULE, DAVID · 2010 to 2013
$1.6M
NIGMS NIH HHS 1R01GM094424-01NIGMS NIH HHS R01 GM094424
6 · The paper itself

Abstract

The premise of genetic analysis is that a causal link exists between phenotypic and allelic variation. However, it has long been documented that mutant phenotypes are not a simple result of a single DNA lesion, but are instead due to interactions of the focal allele with other genes and the environment. Although an experimentally rigorous approach focused on individual mutations and isogenic control strains has facilitated amazing progress within genetics and related fields, a glimpse back suggests that a vast complexity has been omitted from our current understanding of allelic effects. Armed with traditional genetic analyses and the foundational knowledge they have provided, we argue that the time and tools are ripe to return to the underexplored aspects of gene function and embrace the context-dependent nature of genetic effects. We assert that a broad understanding of genetic effects and the evolutionary dynamics of alleles requires identifying how mutational outcomes depend upon the 'wild type' genetic background. Furthermore, we discuss how best to exploit genetic background effects to broaden genetic research programs.

Indexed as

Evolution, MolecularGenetic VariationGenotypePhenotypeAnimalsGenetic Association StudiesHumansMutationQuantitative Trait, Heritable

Identifiers

PMID23453263
PMCPMC3692003

What OpenQuestion holds

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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.