Evidence map›Paper›PMID 27297173›Full record

ArticleBMC genomics2016

Genome-wide copy number variation (CNV) detection in Nelore cattle reveals highly frequent variants in genome regions harboring QTLs affecting production traits.

Joaquim Manoel da Silva, Poliana Fernanda Giachetto, Luiz Otávio da Silva, Leandro Carrijo Cintra, Samuel Rezende Paiva, Michel Eduardo Beleza Yamagishi, Alexandre Rodrigues Caetano

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
5.4field-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

24 citing papers in PubMed, 50 citations in OpenAlex.

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  11. Two Different Copy Number Variations of theAnimals : an open access journal from MDPI · 2021
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  14. Copy Number Variation of theAnimals : an open access journal from MDPI · 2020
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  15. The Association of the Copy Number Variation of theAnimals : an open access journal from MDPI · 2020
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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 3 institutions in 1 country.

Joaquim Manoel da SilvaFaculdade de Ciências Agrárias, Biológicas e Sociais Aplicadas, Universidade do Estado de Mato Grosso (UNEMAT), Av. Prof Dr. Renato Figueiro Varella, CEP 78.690-000, Nova Xavantina, Mato Grosso, Brazil.
Poliana Fernanda GiachettoEmbrapa Informática Agropecuária - Laboratório Multiusuário de Bioinformática (LMB), Campinas, São Paulo, Brazil.
Luiz Otávio da SilvaEmbrapa Gado de Corte, Campo Grande, Mato Grosso do Sul, Brazil.
Leandro Carrijo CintraEmbrapa Informática Agropecuária - Laboratório Multiusuário de Bioinformática (LMB), Campinas, São Paulo, Brazil.
Samuel Rezende PaivaEmbrapa - Secretaria de Relações Internacionais, Brasília, Distrito Federal, Brazil.
Michel Eduardo Beleza YamagishiEmbrapa Informática Agropecuária - Laboratório Multiusuário de Bioinformática (LMB), Campinas, São Paulo, Brazil.
Alexandre Rodrigues CaetanoEmbrapa Recursos Genéticos e Biotecnologia, Brasília, Distrito Federal, Brazil. alexandre.caetano@embrapa.br.
Brazilian Agricultural Research Corporation · BRNational Council for Scientific and Technological Development · BRUniversidade Estadual de Campinas (UNICAMP) · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCopy number variations (CNVs) have been shown to account for substantial portions of observed genomic variation and have been associated with qualitative and quantitative traits and the onset of disease in a number of species. Information from high-resolution studies to detect, characterize and estimate population-specific variant frequencies will facilitate the incorporation of CNVs in genomic studies to identify genes affecting traits of importance.

resultsGenome-wide CNVs were detected in high-density single nucleotide polymorphism (SNP) genotyping data from 1,717 Nelore (Bos indicus) cattle, and in NGS data from eight key ancestral bulls. A total of 68,007 and 12,786 distinct CNVs were observed, respectively. Cross-comparisons of results obtained for the eight resequenced animals revealed that 92 % of the CNVs were observed in both datasets, while 62 % of all detected CNVs were observed to overlap with previously validated cattle copy number variant regions (CNVRs). Observed CNVs were used for obtaining breed-specific CNV frequencies and identification of CNVRs, which were subsequently used for gene annotation. A total of 688 of the detected CNVRs were observed to overlap with 286 non-redundant QTLs associated with important production traits in cattle. All of 34 CNVs previously reported to be associated with milk production traits in Holsteins were also observed in Nelore cattle. Comparisons of estimated frequencies of these CNVs in the two breeds revealed 14, 13, 6 and 14 regions in high (>20 %), low (<20 %) and divergent (NEL > HOL, NEL < HOL) frequencies, respectively.

conclusionsObtained results significantly enriched the bovine CNV map and enabled the identification of variants that are potentially associated with traits under selection in Nelore cattle, particularly in genome regions harboring QTLs affecting production traits.

Indexed as

DNA Copy Number VariationsGenomeGenomicsQuantitative Trait, HeritableQuantitative Trait LociAnimalsCattleChromosome MappingComputational BiologyGenome-Wide Association StudyHigh-Throughput Nucleotide SequencingMolecular Sequence AnnotationPolymorphism, Single NucleotideReproducibility of ResultsBeef cattleCopy number variantsHigh-throughput nucleotide sequencingSNP genotyping

Identifiers

PMID27297173
PMCPMC4907077
OpenAlexW2438293009

What OpenQuestion holds

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LicenceCC BY
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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.