Evidence map›Paper›PMID 30804023›Full record

ArticleG3 (Bethesda, Md.)2019

High-Density Linkage Map and QTLs for Growth in Snapper (

David T Ashton, Peter A Ritchie, Maren Wellenreuther

Abstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Correlation analysis ofVeterinary research forum : an international quarterly journal · 2026
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  3. Article
  4. Article
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  8. Computer vision in aquaculture: a case study of juvenile fish counting.Journal of the Royal Society of New Zealand · 2023
    Article
  9. Article
  10. Article
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  15. Review
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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.

David T AshtonThe New Zealand Institute for Plant & Food Research Limited, Nelson, New Zealand david.ashton@plantandfood.co.nz.ORCID 0000-0002-0996-6368
Peter A RitchieSchool of Biological Sciences, Victoria University of Wellington, Wellington, New Zealand.ORCID 0000-0002-8351-7931
Maren WellenreutherThe New Zealand Institute for Plant & Food Research Limited, Nelson, New Zealand.ORCID 0000-0002-2764-8291

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Characterizing the genetic variation underlying phenotypic traits is a central objective in biological research. This research has been hampered in the past by the limited genomic resources available for most non-model species. However, recent advances in sequencing technologies and related genotyping methods are rapidly changing this. Here we report the use of genome-wide SNP data from the ecologically and commercially important marine fish species

Indexed as

Quantitative Trait LociAnimalsBody SizeChromosome MappingFishesGenotypePolymorphism, Single Nucleotidefishgenomegenotyping-by-sequencinggrowthlinkage mapQTLs

Identifiers

PMID30804023
PMCPMC6469409

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.