Evidence map›Paper›PMID 34334238›Full record

ReviewTrends in genetics : TIG2022

Advancing human disease research with fish evolutionary mutant models.

Emily A Beck, Hope M Healey, Clayton M Small, Mark C Currey, Thomas Desvignes, William A Cresko, John H Postlethwait

Open access · greenAbstract readReview
In one paragraph

Review in Trends in genetics : TIG, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

21 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
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  7. Identification ofAnimal biotechnology · 2024
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  19. A novel gnotobiotic experimental system for Atlantic salmon (Frontiers in cellular and infection microbiology · 2022
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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

7 authors at 1 institution in 1 country.

Emily A BeckData Science, University of Oregon, Eugene, OR 97403, USA; Institute of Ecology and Evolution, University of Oregon, Eugene, OR 97403, USA. Electronic address: ebeck8@uoregon.edu.
Hope M HealeyInstitute of Ecology and Evolution, University of Oregon, Eugene, OR 97403, USA.
Clayton M SmallData Science, University of Oregon, Eugene, OR 97403, USA; Institute of Ecology and Evolution, University of Oregon, Eugene, OR 97403, USA.
Mark C CurreyInstitute of Ecology and Evolution, University of Oregon, Eugene, OR 97403, USA.
Thomas DesvignesInstitute of Neuroscience, University of Oregon, Eugene, OR 97403, USA.
William A CreskoData Science, University of Oregon, Eugene, OR 97403, USA; Institute of Ecology and Evolution, University of Oregon, Eugene, OR 97403, USA.
John H PostlethwaitInstitute of Neuroscience, University of Oregon, Eugene, OR 97403, USA.
University of Oregon · US

Funding

Supplement to Prevention Research Center: Parenting Among Women Who Are Opioid Users, Project 2P50DA048756 · NIDA · UNIVERSITY OF OREGON · PI STORMSHAK, ELIZABETH A · 2019 to 2023
$18.0M
Graduate Training in Genetics Administrative Supplement - Career Curriculum DevelopmentT32GM007413 · NIGMS · UNIVERSITY OF OREGON · PI GUILLEMIN, KAREN J · 1985 to 2022
$7.8M
Resources for Teleost Gene Duplicates and Human DiseaseR01OD011116 · OD · UNIVERSITY OF OREGON · PI POSTLETHWAIT, JOHN H. · 2012 to 2020
$5.4M
Developmental Mechanisms for the Evolution of Bone LossR01AG031922 · NIA · UNIVERSITY OF OREGON · PI POSTLETHWAIT, JOHN H. · 2008 to 2012
$2.4M
Advancing the Scientific Potential of Transcriptomics in Aquatic ModelsR24RR032670 · NCRR · UNIVERSITY OF OREGON · PI CRESKO, WILLIAM A, POSTLETHWAIT, JOHN H. · 2011 to 2011
$553k
Systems genetics analysis of natural variation in threespine stickleback host immunity and microbiotaF32GM122419 · NIGMS · UNIVERSITY OF OREGON · PI BECK, EMILY A · 2017 to 2018
$118k
NCRR NIH HHS R24 RR032670NIA NIH HHS R01 AG031922NIDA NIH HHS P50 DA048756NIGMS NIH HHS F32 GM122419NIGMS NIH HHS T32 GM007413NIH HHS R01 OD011116
6 · The paper itself

Abstract

Model organism research is essential to understand disease mechanisms. However, laboratory-induced genetic models can lack genetic variation and often fail to mimic the spectrum of disease severity. Evolutionary mutant models (EMMs) are species with evolved phenotypes that mimic human disease. EMMs complement traditional laboratory models by providing unique avenues to study gene-by-environment interactions, modular mutations in noncoding regions, and their evolved compensations. EMMs have improved our understanding of complex diseases, including cancer, diabetes, and aging, and illuminated mechanisms in many organs. Rapid advancements of sequencing and genome-editing technologies have catapulted the utility of EMMs, particularly in fish. Fish are the most diverse group of vertebrates, exhibiting a kaleidoscope of specialized phenotypes, many that would be pathogenic in humans but are adaptive in the species' specialized habitat. Importantly, evolved compensations can suggest avenues for novel disease therapies. This review summarizes current research using fish EMMs to advance our understanding of human disease.

Indexed as

Biological EvolutionFishesAnimalsHumansPhenotypeVertebratescavefishelectric fishicefishkillifishmummichognotothenioidplatyfishsticklebackswordtailteleost

Identifiers

PMID34334238
PMCPMC8678158
OpenAlexW3185319771

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.