Evidence map›Paper›PMID 24497987›Full record

ArticlePloS one2014

Genome-wide detection of copy number variations among diverse horse breeds by array CGH.

Wei Wang, Shenyuan Wang, Chenglin Hou, Yanping Xing, Junwei Cao, Kaifeng Wu, Chunxia Liu, Dong Zhang, Li Zhang, Yanru Zhang and 1 more

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Article
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  3. Article
  4. Article
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  6. Article
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  8. Review
  9. Article
  10. Article
  11. Copy Number Variation (CNV): A New Genomic Insight in Horses.Animals : an open access journal from MDPI · 2022
    Article
  12. Article
  13. Article
  14. Article
  15. CNVs with adaptive potential inLife science alliance · 2022
    Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article
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

11 authors.

Wei WangCollege of Life Sciences Inner Mongolia Agricultural University, Hohhot, China ; Key Laboratory of Biological Manufacturing, Hohhot, China.
Shenyuan WangCollege of Life Sciences Inner Mongolia Agricultural University, Hohhot, China ; Key Laboratory of Biological Manufacturing, Hohhot, China.
Chenglin HouCollege of Life Sciences Inner Mongolia Agricultural University, Hohhot, China ; Key Laboratory of Biological Manufacturing, Hohhot, China.
Yanping XingCollege of Life Sciences Inner Mongolia Agricultural University, Hohhot, China ; Key Laboratory of Biological Manufacturing, Hohhot, China.
Junwei CaoCollege of Life Sciences Inner Mongolia Agricultural University, Hohhot, China ; Key Laboratory of Biological Manufacturing, Hohhot, China.
Kaifeng WuCollege of Life Sciences Inner Mongolia Agricultural University, Hohhot, China ; Key Laboratory of Biological Manufacturing, Hohhot, China.
Chunxia LiuCollege of Life Sciences Inner Mongolia Agricultural University, Hohhot, China ; Key Laboratory of Biological Manufacturing, Hohhot, China.
Dong ZhangCollege of Life Sciences Inner Mongolia Agricultural University, Hohhot, China ; Key Laboratory of Biological Manufacturing, Hohhot, China.
Li ZhangCollege of Life Sciences Inner Mongolia Agricultural University, Hohhot, China ; Key Laboratory of Biological Manufacturing, Hohhot, China.
Yanru ZhangCollege of Life Sciences Inner Mongolia Agricultural University, Hohhot, China ; Key Laboratory of Biological Manufacturing, Hohhot, China.
Huanmin ZhouCollege of Life Sciences Inner Mongolia Agricultural University, Hohhot, China ; Key Laboratory of Biological Manufacturing, Hohhot, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent studies have found that copy number variations (CNVs) are widespread in human and animal genomes. CNVs are a significant source of genetic variation, and have been shown to be associated with phenotypic diversity. However, the effect of CNVs on genetic variation in horses is not well understood. In the present study, CNVs in 6 different breeds of mare horses, Mongolia horse, Abaga horse, Hequ horse and Kazakh horse (all plateau breeds) and Debao pony and Thoroughbred, were determined using aCGH. In total, seven hundred CNVs were identified ranging in size from 6.1 Kb to 0.57 Mb across all autosomes, with an average size of 43.08 Kb and a median size of 15.11 Kb. By merging overlapping CNVs, we found a total of three hundred and fifty-three CNV regions (CNVRs). The length of the CNVRs ranged from 6.1 Kb to 1.45 Mb with average and median sizes of 38.49 Kb and 13.1 Kb. Collectively, 13.59 Mb of copy number variation was identified among the horses investigated and accounted for approximately 0.61% of the horse genome sequence. Five hundred and eighteen annotated genes were affected by CNVs, which corresponded to about 2.26% of all horse genes. Through the gene ontology (GO), genetic pathway analysis and comparison of CNV genes among different breeds, we found evidence that CNVs involving 7 genes may be related to the adaptation to severe environment of these plateau horses. This study is the first report of copy number variations in Chinese horses, which indicates that CNVs are ubiquitous in the horse genome and influence many biological processes of the horse. These results will be helpful not only in mapping the horse whole-genome CNVs, but also to further research for the adaption to the high altitude severe environment for plateau horses.

Indexed as

DNA Copy Number VariationsAdaptation, PhysiologicalAltitudeAnimalsChromosomes, MammalianComparative Genomic HybridizationFemaleGene OntologyGenomeHorses

Identifiers

PMID24497987
PMCPMC3907382

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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.