Evidence map›Paper›PMID 41102675›Full record

ArticleBMC genomics2025

Development and validation of a 70K SNP genotyping array for Atlantic halibut (Hippoglossus hippoglossus).

Valentina Krivenjeva Sinani, Robert C Wilson, Torfinn Nome, Ujjwal Acharya, Elisabeth Kommisrud, Marte Wetten, Matthew P Kent

Abstract readValidation Study
In one paragraph

Article in BMC genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Valentina Krivenjeva SinaniDepartment of Biotechnology, CRESCO, Centre for Embryology and Healthy Development, University of Inland Norway, Hamar, Norway.
Robert C WilsonDepartment of Biotechnology, CRESCO, Centre for Embryology and Healthy Development, University of Inland Norway, Hamar, Norway. robertw@inn.no.
Torfinn NomeDepartment of Animal and Aquacultural Sciences, Centre for Integrative Genetics, Faculty of Biosciences, Norwegian University of Life Sciences, Ås, Norway.
Ujjwal AcharyaDepartment of Biotechnology, CRESCO, Centre for Embryology and Healthy Development, University of Inland Norway, Hamar, Norway.
Elisabeth KommisrudDepartment of Biotechnology, CRESCO, Centre for Embryology and Healthy Development, University of Inland Norway, Hamar, Norway.
Marte WettenAninova AS, Hamar, Norway.
Matthew P KentDepartment of Animal and Aquacultural Sciences, Centre for Integrative Genetics, Faculty of Biosciences, Norwegian University of Life Sciences, Ås, Norway. matthew.peter.kent@nmbu.no.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe analysis of single nucleotide polymorphism (SNP) genotypes which capture genome-wide polymorphic variation can be used to improve the accuracy of selection in breeding programs and reveal the genetic architecture of quantitative traits. Mid-density SNP genotyping arrays containing > 60 K SNP markers have been developed for numerous production species and have been used to enable enhanced breeding progress. Despite recent genomic advances, Atlantic halibut lacks mid-density genotyping tools, limiting the application of genomic selection and high-resolution association studies in this species. The evolving Atlantic halibut (Hippoglossus hippoglossus) industry is also interested in genetically informed selection of breeding candidates to facilitate genetic improvement. The present study reports the development of the first mid-density SNP-array for use in Atlantic halibut and describes its performance in samples from different breeding populations.

resultsVariant discovery was performed using whole genome sequencing (WGS) data from 40 individuals and resulted in the detection of more than 8 million small genetic variants including 6,224,375 SNPs and 2,131,436 insertion-deletion variants (INDELS). An Affymetrix Axiom custom array containing 70,824 assays (including 697 for determining genetic gender) was created and used to genotype 1152 Atlantic halibut samples. Assays for 59,491 SNP loci (84% of the array total) performed well and generated reliable genotypes, with an average SNP call rate of 99.64% and genotype concordance of 99.0% with whole-genome sequencing data. Of the gender-specific loci, 133 SNP assays could be used to assign genetic gender.

conclusionsThis article describes the first mid-density SNP genotyping array for Atlantic halibut. It contains nearly 60 K robust assays for genome-wide dispersed SNP loci, along with those suitable for determining genetic gender. The array is amenable for use as a platform for high-resolution genetics research into traits of evolutionary and economic importance and the results have practical relevance for genomic selection in Atlantic halibut.

Indexed as

FlounderGenotyping TechniquesOligonucleotide Array Sequence AnalysisPolymorphism, Single NucleotideAnimalsFemaleGenotypeMaleWhole Genome SequencingDiagnostic gender determinationHippoglossus hippoglossusSNP-array

Identifiers

PMID41102675
PMCPMC12532428

What Socratic 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 Socratic graph.