Evidence map›Paper›PMID 21345189›Full record

ArticleBMC genomics2011

Genomic characteristics of cattle copy number variations.

Yali Hou, George E Liu, Derek M Bickhart, Maria Francesca Cardone, Kai Wang, Eui-Soo Kim, Lakshmi K Matukumalli, Mario Ventura, Jiuzhou Song, Paul M VanRaden and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 121 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
121citing papers in PubMed, 1 pooled it
12.8field-weighted citation impact, top 1% 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

121 citing papers in PubMed, 1 synthesis or guideline pooled it, 208 citations in OpenAlex.

  1. Pooled it
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  5. Mapping copy number variable regions correlated with reproduction and production traits in Karan Fries cattle mammalian genomics.Mammalian genome : official journal of the International Mammalian Genome Society · 2025
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  18. Effects of Genetic Variation of the Sorting Nexin 29 (Animals : an open access journal from MDPI · 2022
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61 more citing papers are in PubMed but not listed here.

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

12 authors at 4 institutions in 2 countries.

Yali HouBovine Functional Genomics Laboratory, ANRI, USDA-ARS, Beltsville, Maryland 20705, USA.
George E Liu
Derek M Bickhart
Maria Francesca Cardone
Kai Wang
Eui-Soo Kim
Lakshmi K Matukumalli
Mario Ventura
Jiuzhou Song
Paul M VanRaden
Tad S Sonstegard
Curt P Van Tassell
Agricultural Research Service · USUniversity of Bari Aldo Moro · ITUniversity of Maryland, College Park · USChildren's Hospital of Philadelphia · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCopy number variation (CNV) represents another important source of genetic variation complementary to single nucleotide polymorphism (SNP). High-density SNP array data have been routinely used to detect human CNVs, many of which have significant functional effects on gene expression and human diseases. In the dairy industry, a large quantity of SNP genotyping results are becoming available and can be used for CNV discovery to understand and accelerate genetic improvement for complex traits.

resultsWe performed a systematic analysis of CNV using the Bovine HapMap SNP genotyping data, including 539 animals of 21 modern cattle breeds and 6 outgroups. After correcting genomic waves and considering the pedigree information, we identified 682 candidate CNV regions, which represent 139.8 megabases (~4.60%) of the genome. Selected CNVs were further experimentally validated and we found that copy number "gain" CNVs were predominantly clustered in tandem rather than existing as interspersed duplications. Many CNV regions (~56%) overlap with cattle genes (1,263), which are significantly enriched for immunity, lactation, reproduction and rumination. The overlap of this new dataset and other published CNV studies was less than 40%; however, our discovery of large, high frequency (> 5% of animals surveyed) CNV regions showed 90% agreement with other studies. These results highlight the differences and commonalities between technical platforms.

conclusionsWe present a comprehensive genomic analysis of cattle CNVs derived from SNP data which will be a valuable genomic variation resource. Combined with SNP detection assays, gene-containing CNV regions may help identify genes undergoing artificial selection in domesticated animals.

Indexed as

Gene DosagePolymorphism, Single NucleotideAnimalsBreedingCattleComparative Genomic HybridizationGenetic MarkersGenomeGenomicsGenotypePedigreeSequence Analysis, DNAGenetic Markers

Identifiers

PMID21345189
PMCPMC3053260
OpenAlexW2060195655

What OpenQuestion holds

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LicenceCC BY
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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.