Evidence map›Paper›PMID 30166071›Full record

ReviewTrends in genetics : TIG2018

Analysis of Epistasis in Natural Traits Using Model Organisms.

Richard F Campbell, Patrick T McGrath, Annalise B Paaby

Abstract readReview
In one paragraph

Review in Trends in genetics : TIG, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

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  9. Polygenic prediction and gene regulation networks.Royal Society open science · 2025
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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

3 authors.

Richard F CampbellDepartment of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, 30332 USA.
Patrick T McGrathDepartment of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, 30332 USA; Department of Physics, Georgia Institute of Technology, Atlanta, GA, 30332 USA. Electronic address: patrick.mcgrath@biology.gatech.edu.
Annalise B PaabyDepartment of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, 30332 USA.

Funding

Genetic Architecture and Developmental Consequences of Conditionally Functional MutationsR35GM119744 · NIGMS · GEORGIA INSTITUTE OF TECHNOLOGY · PI PAABY, ANNALISE BLOSS · 2016 to 2020
$1.8M
Mechanistic understanding of age-dependent genetic architectureR01GM114170 · NIGMS · GEORGIA INSTITUTE OF TECHNOLOGY · PI MCGRATH, PATRICK T · 2015 to 2019
$1.5M
NIGMS NIH HHS R01 GM114170NIGMS NIH HHS R35 GM119744
6 · The paper itself

Abstract

The ability to detect and understand epistasis in natural populations is important for understanding how biological traits are influenced by genetic variation. However, identification and characterization of epistasis in natural populations remains difficult due to statistical issues that arise as a result of multiple comparisons, and the fact that most genetic variants segregate at low allele frequencies. In this review, we discuss how model organisms may be used to manipulate genotypic combinations to power the detection of epistasis as well as test interactions between specific genes. Findings from a number of species indicate that statistical epistasis is pervasive between natural genetic variants. However, the properties of experimental systems that enable analysis of epistasis also constrain extrapolation of these results back into natural populations.

Indexed as

Genetics, PopulationAnimalsEpistasis, GeneticGene FrequencyGenotypeModels, GeneticPhenotypeQuantitative Trait Lociallele frequencyepistasismechanism of epistasisnatural genetic variation

Identifiers

PMID30166071
PMCPMC6541385

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Registered trials

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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.