Evidence map›Paper›PMID 26703584›Full record

ArticleInternational journal of molecular sciences2015

Verification of SNPs Associated with Growth Traits in Two Populations of Farmed Atlantic Salmon.

Hsin Y Tsai, Alastair Hamilton, Derrick R Guy, Alan E Tinch, Steve C Bishop, Ross D Houston

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
5.2field-weighted citation impact, top 4% 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

11 citing papers in PubMed, 46 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Hsin Y TsaiThe Roslin Institute and Royal (Dick) School of Veterinary Studies, the University of Edinburgh, Midlothian EH25 9RG, UK. hsin-yuan.tsai@roslin.ed.ac.uk.
Alastair HamiltonLandcatch Natural Selection Ltd., 15 Beta Centre, Stirling University Innovation Park, Stirling FK9 4NF, UK. Alastair.Hamilton@hendrix-genetics.com.
Derrick R GuyLandcatch Natural Selection Ltd., 15 Beta Centre, Stirling University Innovation Park, Stirling FK9 4NF, UK. Derrick.Guy@hendrix-genetics.com.
Alan E TinchLandcatch Natural Selection Ltd., 15 Beta Centre, Stirling University Innovation Park, Stirling FK9 4NF, UK. Alan.Tinch@hendrix-genetics.com.
Steve C BishopThe Roslin Institute and Royal (Dick) School of Veterinary Studies, the University of Edinburgh, Midlothian EH25 9RG, UK. Stephen.Bishop@roslin.ed.ac.uk.
Ross D HoustonThe Roslin Institute and Royal (Dick) School of Veterinary Studies, the University of Edinburgh, Midlothian EH25 9RG, UK. Ross.Houston@roslin.ed.ac.uk.
Roslin Institute · GBUniversity of Stirling · GB

Funding

Biotechnology and Biological Sciences Research Council BB/H022007/1Biotechnology and Biological Sciences Research Council BB/J004235/1Biotechnology and Biological Sciences Research Council BB/J004324/1Biotechnology and Biological Sciences Research Council BBS/E/D/20211553
6 · The paper itself

Abstract

Understanding the relationship between genetic variants and traits of economic importance in aquaculture species is pertinent to selective breeding programmes. High-throughput sequencing technologies have enabled the discovery of large numbers of SNPs in Atlantic salmon, and high density SNP arrays now exist. A previous genome-wide association study (GWAS) using a high density SNP array (132K SNPs) has revealed the polygenic nature of early growth traits in salmon, but has also identified candidate SNPs showing suggestive associations with these traits. The aim of this study was to test the association of the candidate growth-associated SNPs in a separate population of farmed Atlantic salmon to verify their effects. Identifying SNP-trait associations in two populations provides evidence that the associations are true and robust. Using a large cohort (N = 1152), we successfully genotyped eight candidate SNPs from the previous GWAS, two of which were significantly associated with several growth and fillet traits measured at harvest. The genes proximal to these SNPs were identified by alignment to the salmon reference genome and are discussed in the context of their potential role in underpinning genetic variation in salmon growth.

Indexed as

Polymorphism, Single NucleotideQuantitative Trait, HeritableAnimalsBody WeightGenomeQuantitative Trait LociSalmonAtlantic salmongrowthGWASmarker-assisted selectionMASMEP1APCNTSNP

Identifiers

PMID26703584
PMCPMC4730252
OpenAlexW2209878863

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.