Evidence map›Paper›PMID 22790923›Full record

ReviewFunctional & integrative genomics2012

Copy number variation in the cattle genome.

George E Liu, Derek M Bickhart

Abstract readReview
PubMed Publisher
In one paragraph

Review in Functional & integrative genomics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Relationship between theAnimal biotechnology · 2025
    Article
  2. Assessing Bovine Male Fertility in a Technological Age.Advances in anatomy, embryology, and cell biology · 2025
    Review
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  9. Review
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  16. The Association of the Copy Number Variation of theAnimals : an open access journal from MDPI · 2020
    Article
  17. Article
  18. Article
  19. 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

2 authors.

George E LiuBovine Functional Genomics Laboratory, USDA-ARS, ANRI, Beltsville, MD 20705, USA. George.Liu@ars.usda.gov
Derek M Bickhart

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Copy number variations (CNVs) are gains and losses of genomic sequence greater than 50 bp between two individuals of a species. While single nucleotide polymorphisms (SNPs) are more frequent, CNVs impact a higher percentage of genomic sequence and have potentially greater effects, including the changing of gene structure and dosage, altering gene regulation and exposing recessive alleles. In particular, segmental duplications (SDs) were shown to be one of the catalysts and hotspots for CNV formation. Substantial progress has been made in understanding CNVs in mammals, especially in humans and rodents. CNVs have been shown to be important in both normal phenotypic variability and disease susceptibility. Recently, interest in CNV study has extended into domesticated animals, including cattle. Multiple genome-wide cattle CNV studies have been carried out using both microarray and next generation sequencing technologies. Integration of SD and CNV results with SNP and other datasets are beginning to reveal impacts of CNVs on cattle domestication, health, and production traits.

Indexed as

DNA Copy Number VariationsAnimalsCattleComparative Genomic HybridizationEvolution, MolecularGenomeSegmental Duplications, GenomicSequence Analysis, DNA

Identifiers

What OpenQuestion holds

Textmetadata
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.