Evidence map›Paper›PMID 29065859›Full record

ArticleGenetics, selection, evolution : GSE2017

Identification of copy number variation in French dairy and beef breeds using next-generation sequencing.

Rabia Letaief, Emmanuelle Rebours, Cécile Grohs, Cédric Meersseman, Sébastien Fritz, Lidwine Trouilh, Diane Esquerré, Johanna Barbieri, Christophe Klopp, Romain Philippe and 4 more

Abstract read
In one paragraph

Article in Genetics, selection, evolution : GSE, 2017. 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
–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

24 citing papers in PubMed.

  1. Relationship between theAnimal biotechnology · 2025
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  19. CNV analysis of Meishan pig by next-generation sequencing and effects ofJournal of animal science and biotechnology · 2020
    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

14 authors.

Rabia LetaiefGABI, INRA, AgroParisTech, Université Paris-Saclay, 78352, Jouy-en-Josas, France. rabia.letaief@inra.fr.
Emmanuelle ReboursGABI, INRA, AgroParisTech, Université Paris-Saclay, 78352, Jouy-en-Josas, France.
Cécile GrohsGABI, INRA, AgroParisTech, Université Paris-Saclay, 78352, Jouy-en-Josas, France.
Cédric MeerssemanGABI, INRA, AgroParisTech, Université Paris-Saclay, 78352, Jouy-en-Josas, France.
Sébastien FritzGABI, INRA, AgroParisTech, Université Paris-Saclay, 78352, Jouy-en-Josas, France.
Lidwine TrouilhLISBP, CNRS, INRA, INSA, Université de Toulouse, Toulouse, France.
Diane EsquerréGenPhySE, INRA, Université de Toulouse INPT ENSAT, Université de Toulouse INPT ENVT, 52627, Castanet-Tolosan, France.
Johanna BarbieriGenPhySE, INRA, Université de Toulouse INPT ENSAT, Université de Toulouse INPT ENVT, 52627, Castanet-Tolosan, France.
Christophe KloppSIGENAE, INRA, 52627, Castanet-Tolosan, France.
Romain PhilippeGMA, INRA, Université de Limoges, UMR1061, Unité Génétique Moléculaire Animale, 123 avenue Albert Thomas, 87060, Limoges Cedex, France.
Véronique BlanquetGMA, INRA, Université de Limoges, UMR1061, Unité Génétique Moléculaire Animale, 123 avenue Albert Thomas, 87060, Limoges Cedex, France.
Didier BoichardGABI, INRA, AgroParisTech, Université Paris-Saclay, 78352, Jouy-en-Josas, France.
Dominique RochaGABI, INRA, AgroParisTech, Université Paris-Saclay, 78352, Jouy-en-Josas, France.
Mekki BoussahaGABI, INRA, AgroParisTech, Université Paris-Saclay, 78352, Jouy-en-Josas, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCopy number variations (CNV) are known to play a major role in genetic variability and disease pathogenesis in several species including cattle. In this study, we report the identification and characterization of CNV in eight French beef and dairy breeds using whole-genome sequence data from 200 animals. Bioinformatics analyses to search for CNV were carried out using four different but complementary tools and we validated a subset of the CNV by both in silico and experimental approaches.

resultsWe report the identification and localization of 4178 putative deletion-only, duplication-only and CNV regions, which cover 6% of the bovine autosomal genome; they were validated by two in silico approaches and/or experimentally validated using array-based comparative genomic hybridization and single nucleotide polymorphism genotyping arrays. The size of these variants ranged from 334 bp to 7.7 Mb, with an average size of ~ 54 kb. Of these 4178 variants, 3940 were deletions, 67 were duplications and 171 corresponded to both deletions and duplications, which were defined as potential CNV regions. Gene content analysis revealed that, among these variants, 1100 deletions and duplications encompassed 1803 known genes, which affect a wide spectrum of molecular functions, and 1095 overlapped with known QTL regions.

conclusionsOur study is a large-scale survey of CNV in eight French dairy and beef breeds. These CNV will be useful to study the link between genetic variability and economically important traits, and to improve our knowledge on the genomic architecture of cattle.

Indexed as

DNA Copy Number VariationsAnimalsCattleDairy ProductsGenome-Wide Association StudyHigh-Throughput Nucleotide SequencingPolymorphism, Single NucleotideQuantitative Trait, HeritableQuantitative Trait LociRed MeatWhole Genome Sequencing

Identifiers

PMID29065859
PMCPMC5655909

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LicenceCC BY
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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.