Evidence map›Paper›PMID 37343283›Full record

ArticleAnimal biotechnology2023

Impact of inclusion non-additive effects on genome-wide association and variance's components in Scottish black sheep.

Masoud Alipanah, Zahra Roudbari, Mehdi Momen, Ali Esmailizadeh

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In one paragraph

Article in Animal biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 24% 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

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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

2 citing papers in PubMed, 2 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

4 authors at 4 institutions in 2 countries.

Masoud AlipanahDepartment of Plant Production, University of Torbat Heydarieh, Torbat-e Heydarieh, Iran.
Zahra RoudbariDepartment of Animal Science, University of Jiroft, Jiroft, Iran.
Mehdi MomenDepartment of Surgical Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, Madison, WI, USA.
Ali EsmailizadehDepartment of Animal Science, Shahid Bahonar University of Kerman, Kerman, Iran.
Shahid Bahonar University of Kerman · IRUniversity of Jiroft · IRUniversity of Torbat Heydarieh · IRUniversity of Wisconsin–Madison · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextIt's well-documented that most economic traits have a complex genetic structure that is controlled by additive and non-additive gene actions. Hence, knowledge of the underlying genetic architecture of such complex traits could aid in understanding how these traits respond to the selection in breeding and mating programs. Computing and having estimates of the non-additive effect for economic traits in sheep using genome-wide information can be important because; non-additive genes play an important role in the prediction accuracy of genomic breeding values and the genetic response to the selection.

aimThis study aimed to assess the impact of non-additive effects (dominance and epistasis) on the estimation of genetic parameters for body weight traits in sheep.

methodsThis study used phenotypic and genotypic belonging to 752 Scottish Blackface lambs. Three live weight traits considered in this study were included in body weight at 16, 20, and 24 weeks). Three genetic models including additive (AM), additive + dominance (ADM), and additive + dominance + epistasis (ADEM), were used. KEY

resultsThe narrow sense heritability for weight at 16 weeks of age (BW16) were 0.39, 0.35, and 0.23, for 20 weeks of age (BW20) were 0.55, 0.54, and 0.42, and finally for 24 weeks of age (BW24) were 0.16, 0.12, and 0.02, using the AM, ADM, and ADEM models, respectively. The additive genetic model significantly outperformed the non-additive genetic model (

conclusionsThe results emphasized that the non-additive genetic effects play an important role in controlling body weight variation at the age of 16-24 weeks in Scottish Blackface lambs. IMPLICATIONS: It is expected that using a high-density SNP panel and the joint modeling of both additive and non-additive effects can lead to better estimation and prediction of genetic parameters.

Indexed as

GenomeGenome-Wide Association StudyAnimalsBody WeightGenotypePhenotypePolymorphism, Single NucleotideScotlandSheepBody weightgenetic modelsgenomicsGWASnon-additive genetic variationsheepSNP

Identifiers

PMID37343283
PMCPMC13353507
OpenAlexW4381597501

What OpenQuestion holds

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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.