Evidence map›Paper›PMID 24733441›Full record

ArticlePloS one2014

Genome-wide association for growth traits in Canchim beef cattle.

Marcos E Buzanskas, Daniela A Grossi, Ricardo V Ventura, Flávio S Schenkel, Mehdi Sargolzaei, Sarah L C Meirelles, Fabiana B Mokry, Roberto H Higa, Maurício A Mudadu, Marcos V G Barbosa da Silva and 5 more

Open access · goldAbstract 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 43 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 1 pooled it
9.1field-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

43 citing papers in PubMed, 1 synthesis or guideline pooled it, 138 citations in OpenAlex.

  1. Pooled it
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  9. Genomic patterns of selection in morphometric traits across diverse Indian cattle breeds.Mammalian genome : official journal of the International Mammalian Genome Society · 2024
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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

15 authors at 7 institutions in 2 countries.

Marcos E BuzanskasDepartamento de Ciências Exatas, UNESP - Univ Estadual Paulista, Faculdade de Ciências Agrárias e Veterinárias, Jaboticabal, São Paulo, Brazil.
Daniela A GrossiDepartment of Animal and Poultry Science, University of Guelph, Centre for Genetic Improvement of Livestock (CGIL), Guelph, Ontario, Canada.
Ricardo V VenturaDepartment of Animal and Poultry Science, University of Guelph, Centre for Genetic Improvement of Livestock (CGIL), Guelph, Ontario, Canada; Beef Improvement Opportunities (BIO), Guelph, Ontario, Canada.
Flávio S SchenkelDepartment of Animal and Poultry Science, University of Guelph, Centre for Genetic Improvement of Livestock (CGIL), Guelph, Ontario, Canada.
Mehdi SargolzaeiDepartment of Animal and Poultry Science, University of Guelph, Centre for Genetic Improvement of Livestock (CGIL), Guelph, Ontario, Canada; The Semex Alliance, Guelph, Ontario, Canada.
Sarah L C MeirellesDepartment of Animal Science, Federal University of Lavras (UFLA), Lavras, Minas Gerais, Brazil.
Fabiana B MokryDepartment of Genetics and Evolution, Federal University of São Carlos (UFSCar), São Carlos, São Paulo, Brazil.
Roberto H HigaEmbrapa Agricultural Informatics, Campinas, São Paulo, Brazil.
Maurício A MudaduEmbrapa Southeast Livestock, São Carlos, São Paulo, Brazil.
Marcos V G Barbosa da SilvaEmbrapa Dairy Cattle, Juiz de Fora, Minas Gerais, Brazil.
Simone C M NiciuraEmbrapa Southeast Livestock, São Carlos, São Paulo, Brazil.
Roberto A A TorresEmbrapa Beef Cattle, Campo Grande, Mato Grosso do Sul, Brazil.
Maurício M AlencarEmbrapa Southeast Livestock, São Carlos, São Paulo, Brazil.
Luciana C A RegitanoEmbrapa Southeast Livestock, São Carlos, São Paulo, Brazil.
Danísio P MunariDepartamento de Ciências Exatas, UNESP - Univ Estadual Paulista, Faculdade de Ciências Agrárias e Veterinárias, Jaboticabal, São Paulo, Brazil.
Brazilian Agricultural Research Corporation · BRUniversidade Estadual Paulista (Unesp) · BRUniversity of Guelph · CABIO (Canada) · CADigital Research Alliance of CanadaUniversidade Federal de Lavras · BRUniversidade Federal de São Carlos · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studies are being conducted on the applicability of genomic data to improve the accuracy of the selection process in livestock, and genome-wide association studies (GWAS) provide valuable information to enhance the understanding on the genetics of complex traits. The aim of this study was to identify genomic regions and genes that play roles in birth weight (BW), weaning weight adjusted for 210 days of age (WW), and long-yearling weight adjusted for 420 days of age (LYW) in Canchim cattle. GWAS were performed by means of the Generalized Quasi-Likelihood Score (GQLS) method using genotypes from the BovineHD BeadChip and estimated breeding values for BW, WW, and LYW. Data consisted of 285 animals from the Canchim breed and 114 from the MA genetic group (derived from crossings between Charolais sires and ½ Canchim + ½ Zebu dams). After applying a false discovery rate correction at a 10% significance level, a total of 4, 12, and 10 SNPs were significantly associated with BW, WW, and LYW, respectively. These SNPs were surveyed to their corresponding genes or to surrounding genes within a distance of 250 kb. The genes DPP6 (dipeptidyl-peptidase 6) and CLEC3B (C-type lectin domain family 3 member B) were highlighted, considering its functions on the development of the brain and skeletal system, respectively. The GQLS method identified regions on chromosome associated with birth weight, weaning weight, and long-yearling weight in Canchim and MA animals. New candidate regions for body weight traits were detected and some of them have interesting biological functions, of which most have not been previously reported. The observation of QTL reports for body weight traits, covering areas surrounding the genes (SNPs) herein identified provides more evidence for these associations. Future studies targeting these areas could provide further knowledge to uncover the genetic architecture underlying growth traits in Canchim cattle.

Indexed as

Genome-Wide Association StudyQuantitative Trait, HeritableAnimalsBirth WeightBrazilCattleChromosomes, MammalianGenotypeLikelihood FunctionsPolymorphism, Single NucleotideWeaning

Identifiers

PMID24733441
PMCPMC3986245
OpenAlexW2028566903

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.