Evidence map›Paper›PMID 32704985›Full record

ArticleTranslational animal science2020

Development of a low-density panel for genomic selection of pigs in Russia.

Tatiana I Shashkova, Elena U Martynova, Asiya F Ayupova, Artemy A Shumskiy, Polina A Ogurtsova, Olga V Kostyunina, Philipp E Khaitovich, Pavel V Mazin, Natalia A Zinovieva

Open access · goldAbstract read
In one paragraph

Article in Translational animal science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 21% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
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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

9 authors at 3 institutions in 1 country.

Tatiana I ShashkovaSkolkovo Institute of Science and Technology, Moscow, Russia.
Elena U MartynovaSkolkovo Institute of Science and Technology, Moscow, Russia.ORCID 0000-0003-0802-0236
Asiya F AyupovaSkolkovo Institute of Science and Technology, Moscow, Russia.
Artemy A ShumskiySkolkovo Institute of Science and Technology, Moscow, Russia.
Polina A OgurtsovaSkolkovo Institute of Science and Technology, Moscow, Russia.
Olga V KostyuninaErnst Federal Science Center for Animal Husbandry, Dubrovitsy, Moscow Oblast, Russia.
Philipp E KhaitovichSkolkovo Institute of Science and Technology, Moscow, Russia.
Pavel V MazinSkolkovo Institute of Science and Technology, Moscow, Russia.
Natalia A ZinovievaErnst Federal Science Center for Animal Husbandry, Dubrovitsy, Moscow Oblast, Russia.
Skolkovo Institute of Science and Technology · RUFederal Scientific Center for Animal Husbandry named after Academician L.K. Ernst · RUNational Research University Higher School of Economics · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genomic selection is routinely used worldwide in agricultural breeding. However, in Russia, it is still not used to its full potential partially due to high genotyping costs. The use of genotypes imputed from the low-density chips (LD-chip) provides a valuable opportunity for reducing the genotyping costs. Pork production in Russia is based on the conventional 3-tier pyramid involving 3 breeds; therefore, the best option would be the development of a single LD-chip that could be used for all of them. Here, we for the first time have analyzed genomic variability in 3 breeds of Russian pigs, namely, Landrace, Duroc, and Large White and generated the LD-chip that can be used in pig breeding with the negligible loss in genotyping quality. We have demonstrated that out of the 3 methods commonly used for LD-chip construction, the block method shows the best results. The imputation quality depends strongly on the presence of close ancestors in the reference population. We have demonstrated that for the animals with both parents genotyped using high-density panels high-quality genotypes (allelic discordance rate < 0.05) could be obtained using a 300 single nucleotide polymorphism (SNP) chip, while in the absence of genotyped ancestors at least 2,000 SNP markers are required. We have shown that imputation quality varies between chromosomes, and it is lower near the chromosome ends and drops with the increase in minor allele frequency. Imputation quality of the individual SNPs correlated well across breeds. Using the same LD-chip, we were able to obtain comparable imputation quality in all 3 breeds, so it may be suggested that a single chip could be used for all of them. Our findings also suggest that the presence of markers with extremely low imputation quality is likely to be explained by wrong mapping of the markers to the chromosomal positions.

Indexed as

genomic selectionimputationlow-density chippigssingle nucleotide polymorphism

Identifiers

PMID32704985
PMCPMC6994047
OpenAlexW2990805831

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LicenceCC BY-NC
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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.