Evidence map›Paper›PMID 20212021›Full record

ArticleGenome research2010

Analysis of copy number variations among diverse cattle breeds.

George E Liu, Yali Hou, Bin Zhu, Maria Francesca Cardone, Lu Jiang, Angelo Cellamare, Apratim Mitra, Leeson J Alexander, Luiz L Coutinho, Maria Elena Dell'Aquila and 14 more

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 188 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
188citing papers in PubMed, 1 pooled it
–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

188 citing papers in PubMed, 1 synthesis or guideline pooled it, 316 citations in OpenAlex.

  1. Pooled it
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  7. Relationship between theAnimal biotechnology · 2025
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  12. Cataloging copy number variation regions and allied diversity in goat breeds spanning pan India.Mammalian genome : official journal of the International Mammalian Genome Society · 2025
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128 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

24 authors at 6 institutions in 3 countries.

George E LiuUSDA-ARS, ANRI, Bovine Functional Genomics Laboratory, Beltsville, Maryland 20705, USA.
Yali Hou
Bin Zhu
Maria Francesca Cardone
Lu Jiang
Angelo Cellamare
Apratim Mitra
Leeson J Alexander
Luiz L Coutinho
Maria Elena Dell'Aquila
Lou C Gasbarre
Gianni Lacalandra
Robert W Li
Lakshmi K Matukumalli
Dan Nonneman
Luciana C de A Regitano
Tim P L Smith
Jiuzhou Song
Tad S Sonstegard
Curt P Van Tassell
Mario Ventura
Evan E Eichler
Tara G McDaneld
John W Keele
United States Department of Agriculture · USUniversity of Bari Aldo Moro · ITUniversity of Maryland, College Park · USBrazilian Agricultural Research Corporation · BRHoward Hughes Medical Institute · USUniversidade de São Paulo · BR

Funding

MECHANISM &INSTABILITY OF PERICENTROMERIC DUPLICATIONSR01GM058815 · NIGMS · UNIVERSITY OF WASHINGTON · PI EICHLER, EVAN · 1999 to 2010
$2.9M
NIGMS NIH HHS GM058815NIGMS NIH HHS R01 GM058815
6 · The paper itself

Abstract

Genomic structural variation is an important and abundant source of genetic and phenotypic variation. Here, we describe the first systematic and genome-wide analysis of copy number variations (CNVs) in modern domesticated cattle using array comparative genomic hybridization (array CGH), quantitative PCR (qPCR), and fluorescent in situ hybridization (FISH). The array CGH panel included 90 animals from 11 Bos taurus, three Bos indicus, and three composite breeds for beef, dairy, or dual purpose. We identified over 200 candidate CNV regions (CNVRs) in total and 177 within known chromosomes, which harbor or are adjacent to gains or losses. These 177 high-confidence CNVRs cover 28.1 megabases or approximately 1.07% of the genome. Over 50% of the CNVRs (89/177) were found in multiple animals or breeds and analysis revealed breed-specific frequency differences and reflected aspects of the known ancestry of these cattle breeds. Selected CNVs were further validated by independent methods using qPCR and FISH. Approximately 67% of the CNVRs (119/177) completely or partially span cattle genes and 61% of the CNVRs (108/177) directly overlap with segmental duplications. The CNVRs span about 400 annotated cattle genes that are significantly enriched for specific biological functions, such as immunity, lactation, reproduction, and rumination. Multiple gene families, including ULBP, have gone through ruminant lineage-specific gene amplification. We detected and confirmed marked differences in their CNV frequencies across diverse breeds, indicating that some cattle CNVs are likely to arise independently in breeds and contribute to breed differences. Our results provide a valuable resource beyond microsatellites and single nucleotide polymorphisms to explore the full dimension of genetic variability for future cattle genomic research.

Indexed as

DNA Copy Number VariationsGene DosageAnimalsBreedingCattleComparative Genomic HybridizationGenetics, PopulationGenomeGenomicsGenomic Structural VariationIn Situ Hybridization, FluorescenceOligonucleotide Array Sequence AnalysisPolymerase Chain ReactionSegmental Duplications, GenomicSpecies Specificity

Identifiers

PMID20212021
PMCPMC2860171
OpenAlexW2135048780

What OpenQuestion holds

Textmetadata
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Registered trials

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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.