Evidence map›Paper›PMID 32296097›Full record

ArticleScientific reports2020

Genome-wide scan highlights the role of candidate genes on phenotypic plasticity for age at first calving in Nellore heifers.

Lucio F M Mota, Fernando B Lopes, Gerardo A Fernandes Júnior, Guilherme J M Rosa, Ana F B Magalhães, Roberto Carvalheiro, Lucia G Albuquerque

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
9.7field-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

36 citing papers in PubMed, 89 citations in OpenAlex.

  1. Article
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  5. Candidate genes related to growth and milk production in three Anatolian goats revealed by GWAS.Mammalian genome : official journal of the International Mammalian Genome Society · 2026
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Welfare of beef cattle.EFSA journal. European Food Safety Authority · 2025
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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

7 authors at 4 institutions in 2 countries.

Lucio F M MotaSão Paulo State University (UNESP), School of Agricultural and Veterinarian Sciences, Via de Acesso Prof. Paulo Donato Castelane, Jaboticabal, SP, 14884-900, Brazil. flaviommota.zoo@gmail.com.ORCID http://orcid.org/0000-0001-9983-1784
Fernando B LopesGeneticist Cobb-Vantress, 305 E Main St, Siloam Springs, AR, 72761, USA.ORCID http://orcid.org/0000-0003-1292-3331
Gerardo A Fernandes JúniorSão Paulo State University (UNESP), School of Agricultural and Veterinarian Sciences, Via de Acesso Prof. Paulo Donato Castelane, Jaboticabal, SP, 14884-900, Brazil.
Guilherme J M RosaDepartment of Animal Sciences, University of Wisconsin-Madison, 1675 Observatory Dr., Madison, WI, 53706, USA.ORCID http://orcid.org/0000-0001-9172-6461
Ana F B MagalhãesSão Paulo State University (UNESP), School of Agricultural and Veterinarian Sciences, Via de Acesso Prof. Paulo Donato Castelane, Jaboticabal, SP, 14884-900, Brazil.
Roberto CarvalheiroSão Paulo State University (UNESP), School of Agricultural and Veterinarian Sciences, Via de Acesso Prof. Paulo Donato Castelane, Jaboticabal, SP, 14884-900, Brazil.
Lucia G AlbuquerqueSão Paulo State University (UNESP), School of Agricultural and Veterinarian Sciences, Via de Acesso Prof. Paulo Donato Castelane, Jaboticabal, SP, 14884-900, Brazil. galvao.albuquerque@unesp.br.
Universidade Estadual Paulista (Unesp) · BRMinistry of Science, Technology and Innovation · BRNational Council for Scientific and Technological Development · BRUniversity of Wisconsin–Madison · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Age at first calving (AFC) plays an important role in the economic efficiency of beef cattle production. This trait can be affected by a combination of genetic and environmental factors, leading to physiological changes in response to heifers' adaptation to a wide range of environments. Genome-wide association studies through the reaction norm model were carried out to identify genomic regions associated with AFC in Nellore heifers, raised under different environmental conditions (EC). The SNP effects for AFC were estimated in three EC levels (Low, Medium, and High, corresponding to average contemporary group effects on yearling body weight equal to 159.40, 228.6 and 297.6 kg, respectively), which unraveled shared and unique genomic regions for AFC in Low, Medium, and High EC levels, that varied according to the genetic correlation between AFC in different EC levels. The significant genomic regions harbored key genes that might play an important biological role in controlling hormone signaling and metabolism. Shared genomic regions among EC levels were identified on BTA 2 and 14, harboring candidate genes associated with energy metabolism (IGFBP2, IGFBP5, SHOX, SMARCAL1, LYN, RPS20, MOS, PLAG1, CHCD7, and SDR16C6). Gene set enrichment analyses identified important biological functions related to growth, hormone levels affecting female fertility, physiological processes involved in female pregnancy, gamete generation, ovulation cycle, and age at puberty. The genomic regions highlighted differences in the physiological processes linked to AFC in different EC levels and metabolic processes that support complex interactions between the gonadotropic axes and sexual precocity in Nellore heifers.

Indexed as

Adaptation, PhysiologicalAnimal HusbandryModels, GeneticAge FactorsAnimalsBreedingCattleEnergy MetabolismFemaleFertilityGene Regulatory NetworksGenome-Wide Association StudyGenotyping TechniquesPolymorphism, Single NucleotidePregnancySexual Maturation

Identifiers

PMID32296097
PMCPMC7160148
OpenAlexW3017084815

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.