Evidence map›Paper›PMID 30115034›Full record

ArticleBMC genomics2018

Genomic regions underlying uniformity of yearling weight in Nellore cattle evaluated under different response variables.

Laiza Helena de Souza Iung, Herman Arend Mulder, Haroldo Henrique de Rezende Neves, Roberto Carvalheiro

Abstract read
In one paragraph

Article in BMC genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Genomic Analysis of Inbreeding Depression on Productive Traits in Rubia Galega Beef Cattle Breed.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2026
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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

4 authors.

Laiza Helena de Souza IungSchool of Agricultural and Veterinarian Sciences, São Paulo State University (Unesp), Via de Acesso Prof. Paulo Donato Castelane, S/N, Vila Industrial, FCAV/UNESP, Jaboticabal, São Paulo, 14884-900, Brazil.
Herman Arend MulderWageningen University & Research Animal Breeding and Genomics, P.O. Box 338, 6700 AH, Wageningen, The Netherlands.
Haroldo Henrique de Rezende NevesGenSys Consultores Associados S/S Ltda, Porto Alegre, RS, 90680-000, Brazil.
Roberto CarvalheiroSchool of Agricultural and Veterinarian Sciences, São Paulo State University (Unesp), Via de Acesso Prof. Paulo Donato Castelane, S/N, Vila Industrial, FCAV/UNESP, Jaboticabal, São Paulo, 14884-900, Brazil. rcar@fcav.unesp.br.

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico (BR) 308636/2014-7Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (BR) 88881.131673/2016-01
6 · The paper itself

Abstract

backgroundIn livestock, residual variance has been studied because of the interest to improve uniformity of production. Several studies have provided evidence that residual variance is partially under genetic control; however, few investigations have elucidated genes that control it. The aim of this study was to identify genomic regions associated with within-family residual variance of yearling weight (YW; N = 423) in Nellore bulls with high density SNP data, using different response variables. For this, solutions from double hierarchical generalized linear models (DHGLM) were used to provide the response variables, as follows: a DGHLM assuming non-null genetic correlation between mean and residual variance (r

resultsThe dEBV

conclusionsIt is necessary to use a strategy like assuming null r

Indexed as

Quantitative Trait, HeritableAnimalsBody WeightBreedingCattleConserved SequenceGenome-Wide Association StudyGenotypeModels, GeneticPhenotypePolymorphism, Single NucleotideBeef cattleDHGLMGenetic heterogeneity of residual varianceGrowth traitsGWASMicro-environmental sensitivity

Identifiers

PMID30115034
PMCPMC6097312

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.