Evidence map›Paper›PMID 27245577›Full record

ArticleBMC genomics2016

Genome-wide CNV analysis reveals variants associated with growth traits in Bos indicus.

Yang Zhou, Yuri T Utsunomiya, Lingyang Xu, El Hamidi Abdel Hay, Derek M Bickhart, Pamela Almeida Alexandre, Benjamin D Rosen, Steven G Schroeder, Roberto Carvalheiro, Haroldo Henrique de Rezende Neves and 6 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
11.1field-weighted citation impact, top 2% 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

41 citing papers in PubMed, 88 citations in OpenAlex.

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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

16 authors at 4 institutions in 3 countries.

Yang ZhouAnimal Genomics and Improvement Laboratory, BARC, USDA-ARS, Room 111, BARC-East, Beltsville, Maryland, 20705, USA.
Yuri T UtsunomiyaDepartamento de Medicina Veterinária Preventiva e Reprodução Animal, Faculdade de Ciências Agrárias e Veterinárias, UNESP - Univ Estadual Paulista, Jaboticabal, São Paulo, 14884-900, Brazil.
Lingyang XuAnimal Genomics and Improvement Laboratory, BARC, USDA-ARS, Room 111, BARC-East, Beltsville, Maryland, 20705, USA.
El Hamidi Abdel HayAnimal Genomics and Improvement Laboratory, BARC, USDA-ARS, Room 111, BARC-East, Beltsville, Maryland, 20705, USA.
Derek M BickhartAnimal Genomics and Improvement Laboratory, BARC, USDA-ARS, Room 111, BARC-East, Beltsville, Maryland, 20705, USA.
Pamela Almeida AlexandreDepartment of Veterinary Medicine, College of Animal Science and Food Engineering, University of São Paulo, Pirassununga, SP, 13635, Brazil.
Benjamin D RosenAnimal Genomics and Improvement Laboratory, BARC, USDA-ARS, Room 111, BARC-East, Beltsville, Maryland, 20705, USA.
Steven G SchroederAnimal Genomics and Improvement Laboratory, BARC, USDA-ARS, Room 111, BARC-East, Beltsville, Maryland, 20705, USA.
Roberto CarvalheiroDepartamento de Zootecnia, Faculdade de Ciências Agrárias e Veterinárias, UNESP - Univ Estadual Paulista, Jaboticabal, São Paulo, 14884-900, Brazil.
Haroldo Henrique de Rezende NevesDepartamento de Zootecnia, Faculdade de Ciências Agrárias e Veterinárias, UNESP - Univ Estadual Paulista, Jaboticabal, São Paulo, 14884-900, Brazil.
Tad S SonstegardAnimal Genomics and Improvement Laboratory, BARC, USDA-ARS, Room 111, BARC-East, Beltsville, Maryland, 20705, USA.
Curtis P Van TassellAnimal Genomics and Improvement Laboratory, BARC, USDA-ARS, Room 111, BARC-East, Beltsville, Maryland, 20705, USA.
José Bento Sterman FerrazDepartment of Veterinary Medicine, College of Animal Science and Food Engineering, University of São Paulo, Pirassununga, SP, 13635, Brazil.
Heidge FukumasuDepartment of Veterinary Medicine, College of Animal Science and Food Engineering, University of São Paulo, Pirassununga, SP, 13635, Brazil.
Jose Fernando GarciaDepartamento de Medicina Veterinária Preventiva e Reprodução Animal, Faculdade de Ciências Agrárias e Veterinárias, UNESP - Univ Estadual Paulista, Jaboticabal, São Paulo, 14884-900, Brazil. jfgarcia@fmva.unesp.br.
George E LiuAnimal Genomics and Improvement Laboratory, BARC, USDA-ARS, Room 111, BARC-East, Beltsville, Maryland, 20705, USA. george.liu@ars.usda.gov.
Agricultural Research Service · USUniversidade Estadual Paulista (Unesp) · BRUniversidade de São Paulo · BRRecombinetics (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundApart from single nucleotide polymorphism (SNP), copy number variation (CNV) is another important type of genetic variation, which may affect growth traits and play key roles for the production of beef cattle. To date, no genome-wide association study (GWAS) for CNV and body traits in beef cattle has been reported, so the present study aimed to investigate this type of association in one of the most important cattle subspecies: Bos indicus (Nellore breed).

resultsWe have used intensity data from over 700,000 SNP probes across the bovine genome to detect common CNVs in a sample of 2230 Nellore cattle, and performed GWAS between the detected CNVs and nine growth traits. After filtering for frequency and length, a total of 231 CNVs ranging from 894 bp to 4,855,088 bp were kept and tested as predictors for each growth trait using linear regression analysis with principal components correction. There were 49 significant associations identified among 17 CNVs and seven body traits after false discovery rate correction (P < 0.05). Among the 17 CNVs, three were significant or marginally significant for all the traits. We have compared the locations of associated CNVs with quantitative trait locus and the RefGene database, and found two sets of 9 CNVs overlapping with either known QTLs or genes, respectively. The gene overlapping with CNV100, KCNJ12, is a functional candidate for muscle development and plays critical roles in muscling traits.

conclusionThis study presents the first CNV-based GWAS of growth traits using high density SNP microarray data in cattle. We detected 17 CNVs significantly associated with seven growth traits and one of them (CNV100) may be involved in growth traits through KCNJ12.

Indexed as

DNA Copy Number VariationsGenome-Wide Association StudyQuantitative Trait, HeritableAnimalsBody SizeBreedingCattleGenetic Association StudiesGenotypePhenotypePolymorphism, Single NucleotideQuantitative Trait LociAssociationBody sizeBos indicusCopy number variation (CNV)EBV

Identifiers

PMID27245577
PMCPMC4888316
OpenAlexW2343181116

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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.