Evidence map›Paper›PMID 28122487›Full record

ArticleGenetics, selection, evolution : GSE2017

Detection and validation of structural variations in bovine whole-genome sequence data.

Long Chen, Amanda J Chamberlain, Coralie M Reich, Hans D Daetwyler, Ben J Hayes

Erratum issuedOpen access · goldAbstract 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. An erratum has been issued. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
4.2field-weighted citation impact, top 6% 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, 42 citations in OpenAlex.

  1. Unravelling Heterozygosity-Rich Regions in the Holstein Genome.Animals : an open access journal from MDPI · 2025
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Genomic Features of Parthenogenetic Animals.The Journal of heredity · 2021
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Genome-wide mapping of large deletions and their population-genetic properties in dairy cattle.DNA research : an international journal for rapid publication of reports on genes and genomes · 2018
    Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Long ChenAgriBio, Centre for AgriBioscience, Biosciences Research, Department of Economic Development, Jobs, Transport and Resources, Bundoora, VIC, Australia. long.chen@ecodev.vic.gov.au.
Amanda J ChamberlainAgriBio, Centre for AgriBioscience, Biosciences Research, Department of Economic Development, Jobs, Transport and Resources, Bundoora, VIC, Australia.
Coralie M ReichAgriBio, Centre for AgriBioscience, Biosciences Research, Department of Economic Development, Jobs, Transport and Resources, Bundoora, VIC, Australia.
Hans D DaetwylerAgriBio, Centre for AgriBioscience, Biosciences Research, Department of Economic Development, Jobs, Transport and Resources, Bundoora, VIC, Australia.
Ben J HayesAgriBio, Centre for AgriBioscience, Biosciences Research, Department of Economic Development, Jobs, Transport and Resources, Bundoora, VIC, Australia.
AgriBio · AULa Trobe University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeveral examples of structural variation (SV) affecting phenotypic traits have been reported in cattle. Currently the identification of SV from whole-genome sequence data (WGS) suffers from a high false positive rate. Our aim was to construct a high quality set of SV calls in cattle using WGS data. First, we tested two SV detection programs, Breakdancer and Pindel, and the overlap of these methods, on simulated sequence data to determine their precision and sensitivity. We then identified population SV from WGS of 252 Holstein and 64 Jersey bulls based on the overlapping calls from the two programs. In addition, we validated an overlapped SV set in 28 twice-sequenced Holstein individuals, and in another two validated sets (one for each breed) that were transmitted from sire to son. We also tested whether highly conserved gene sets across eukaryotes and recently expanded gene families in bovine were depleted and enriched, respectively, for SV.

resultsIn empirical WGS data, 17,518 SV covering 27.36 Mb were found in the Holstein population and 4285 SV covering 8.74 Mb in the Jersey population, of which 4.62 Mb of SV overlapped between Holsteins and Jerseys. A total of 11,534 candidate SV covering 5.64 Mb were validated in the 28 twice-sequenced individuals, while 3.49 and 0.67 Mb of SV were validated from Holstein and Jersey sire-son transmission, respectively. Only eight of 237 core eukaryotic genes had at least a 50-bp overlap with an SV from our validated sets, suggesting that conserved genes are depleted for SV (p < 0.05). In addition, we observed that recently expanded gene families were significantly more associated with SV than other genes. Long interspersed nuclear elements-1 were enriched for deletions when compared to the rest of the genome (p = 0.0035).

conclusionsWe reported SV from 252 Holstein and 64 Jersey individuals. A considerable proportion of Jersey population SV (53.5%) were also found in Holstein. In contrast, about 76.90% sire-son transmission validated SV were present in Jerseys and Holsteins. The enrichment of SV in expanding gene families suggests that SV can be a source of genetic variation for evolution.

Indexed as

Genetic VariationGenomeGenome-Wide Association StudyGenomicsAnimalsBreedingCattleComputational BiologyComputer SimulationDNA Copy Number VariationsEvolution, MolecularGenetics, PopulationHigh-Throughput Nucleotide SequencingINDEL MutationMultigene FamilyPolymorphism, Single Nucleotide

Identifiers

PMID28122487
PMCPMC5267451
OpenAlexW2582001002

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.