Evidence map›Paper›PMID 27277319›Full record

ArticleBMC genomics2016

Copy number variants in the sheep genome detected using multiple approaches.

Gemma M Jenkins, Michael E Goddard, Michael A Black, Rudiger Brauning, Benoit Auvray, Ken G Dodds, James W Kijas, Noelle Cockett, John C McEwan

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 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.9field-weighted citation impact, top 7% 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

21 citing papers in PubMed, 38 citations in OpenAlex.

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  7. Molecular Cytogenetics in Domestic Bovids: A Review.Animals : an open access journal from MDPI · 2023
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  15. 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

9 authors at 5 institutions in 3 countries.

Gemma M JenkinsAbacusBio Limited, 442 Moray Place, PO Box 5585, Dunedin, 9058, New Zealand. gjenkins@abacusbio.co.nz.
Michael E GoddardVictorian Department of Economic Development, Jobs, Transport and Resources, Bundoora, VIC, 3083, Australia.
Michael A BlackDepartment of Biochemistry, University of Otago, 710 Cumberland St, Dunedin, 9054, New Zealand.
Rudiger BrauningAgResearch, Invermay Agricultural Centre, PB 50034, Mosgiel, 9053, New Zealand.
Benoit AuvrayDepartment of Biochemistry, University of Otago, 710 Cumberland St, Dunedin, 9054, New Zealand.
Ken G DoddsAgResearch, Invermay Agricultural Centre, PB 50034, Mosgiel, 9053, New Zealand.
James W KijasCSIRO Animal, Food and Health Sciences, Queensland Bioscience Precinct, 306 Carmody Road, St Lucia, QLD 4067, Australia.
Noelle CockettUtah State University, 1435 Old Main Hill, Logan, UT, 84322-1435-1435, USA.
John C McEwanAgResearch, Invermay Agricultural Centre, PB 50034, Mosgiel, 9053, New Zealand.
AgResearch · NZUniversity of Otago · NZCommonwealth Scientific and Industrial Research Organisation · AUUbiquitous Energy (United States) · USUtah State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCopy number variants (CNVs) are a type of polymorphism found to underlie phenotypic variation, both in humans and livestock. Most surveys of CNV in livestock have been conducted in the cattle genome, and often utilise only a single approach for the detection of copy number differences. Here we performed a study of CNV in sheep, using multiple methods to identify and characterise copy number changes. Comprehensive information from small pedigrees (trios) was collected using multiple platforms (array CGH, SNP chip and whole genome sequence data), with these data then analysed via multiple approaches to identify and verify CNVs.

resultsIn total, 3,488 autosomal CNV regions (CNVRs) were identified in this study, which substantially builds on an initial survey of the sheep genome that identified 135 CNVRs. The average length of the identified CNVRs was 19 kb (range of 1 kb to 3.6 Mb), with shorter CNVRs being more frequent than longer CNVRs. The total length of all CNVRs was 67.6Mbps, which equates to 2.7 % of the sheep autosomes. For individuals this value ranged from 0.24 to 0.55 %, and the majority of CNVRs were identified in single animals. Rather than being uniformly distributed throughout the genome, CNVRs tended to be clustered. Application of three independent approaches for CNVR detection facilitated a comparison of validation rates. CNVs identified on the Roche-NimbleGen 2.1M CGH array generally had low validation rates with lower density arrays, while whole genome sequence data had the highest validation rate (>60 %).

conclusionsThis study represents the first comprehensive survey of the distribution, prevalence and characteristics of CNVR in sheep. Multiple approaches were used to detect CNV regions and it appears that the best method for verifying CNVR on a large scale involves using a combination of detection methodologies. The characteristics of the 3,488 autosomal CNV regions identified in this study are comparable to other CNV regions reported in the literature and provide a valuable and sizeable addition to the small subset of published sheep CNVs.

Indexed as

DNA Copy Number VariationsGenomeGenomicsAnimalsChromosomes, MammalianComparative Genomic HybridizationHigh-Throughput Nucleotide SequencingPolymorphism, Single NucleotideReproducibility of ResultsSensitivity and SpecificitySheepArray CGHCopy number variantsSequenceSheepSNP

Identifiers

PMID27277319
PMCPMC4898393
OpenAlexW2414848233

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.