Evidence map›Paper›PMID 28125592›Full record

ArticlePloS one2017

Identification of Candidate Genes for Reactivity in Guzerat (Bos indicus) Cattle: A Genome-Wide Association Study.

Fernanda Caroline Dos Santos, Maria Gabriela Campolina Diniz Peixoto, Pablo Augusto de Souza Fonseca, Maria de Fátima Ávila Pires, Ricardo Vieira Ventura, Izinara da Cruz Rosse, Frank Angelo Tomita Bruneli, Marco Antonio Machado, Maria Raquel Santos Carvalho

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Selection Signatures in the Genome of Dzhalgin Merino Sheep Breed.Animals : an open access journal from MDPI · 2025
    Article
  4. Identifying New Loci and Genes Associated with Feed Efficiency in Broilers.International journal of molecular sciences · 2025
    Article
  5. Selection signatures detection in Nelore, Gir, and Red Sindhi cattle breeds.Mammalian genome : official journal of the International Mammalian Genome Society · 2025
    Article
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  8. Review
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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

9 authors.

Fernanda Caroline Dos SantosDepartamento de Biologia Geral, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Maria Gabriela Campolina Diniz PeixotoEmbrapa Gado de Leite, Juiz de Fora, Brazil.
Pablo Augusto de Souza FonsecaDepartamento de Biologia Geral, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Maria de Fátima Ávila PiresEmbrapa Gado de Leite, Juiz de Fora, Brazil.
Ricardo Vieira VenturaCenter for Genetic Improvement of Livestock, University of Guelph, Guelph, Canada.
Izinara da Cruz RosseDepartamento de Biologia Geral, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Frank Angelo Tomita BruneliEmbrapa Gado de Leite, Juiz de Fora, Brazil.
Marco Antonio MachadoEmbrapa Gado de Leite, Juiz de Fora, Brazil.
Maria Raquel Santos CarvalhoDepartamento de Biologia Geral, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Temperament is fundamental to animal production due to its direct influence on the animal-herdsman relationship. When compared to calm animals, the aggressive, anxious or fearful ones exhibit less weight gain, lower reproductive efficiency, decreased milk production and higher herd maintenance costs, all of which contribute to reduced profits. However, temperament is a trait that is complex and difficult to assess. Recently, a new quantitative system, REATEST®, for assessing reactivity, a phenotype of temperament, was developed. Herein, we describe the results of a Genome-wide association study for reactivity, assessed using REATEST® with a sample of 754 females from five dual-purpose (milk and meat production) Guzerat (Bos indicus) herds. Genotyping was performed using a 50k SNP chip and a two-step mixed model approach (Grammar-Gamma) with a one-by-one marker regression was used to identify QTLs. QTLs for reactivity were identified on chromosomes BTA1, BTA5, BTA14, and BTA25. Five intronic and two intergenic markers were significantly associated with reactivity. POU1F1, DRD3, VWA3A, ZBTB20, EPHA6, SNRPF and NTN4 were identified as candidate genes. Previous QTL reports for temperament traits, covering areas surrounding the SNPs/genes identified here, further corroborate these associations. The seven genes identified in the present study explain 20.5% of reactivity variance and give a better understanding of temperament biology.

Indexed as

Genome-Wide Association StudyGenotypeQuantitative Trait, HeritableQuantitative Trait LociTemperamentAnimalsBreedingCattleChromosome MappingChromosomes, MammalianEpistasis, GeneticFemaleGene-Environment InteractionGenetic MarkersPhenotypeGenetic Markers

Identifiers

PMID28125592
PMCPMC5268462

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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.