Evidence map›Paper›PMID 36495095›Full record

ArticleAnimal biotechnology2023

Genome-wide unraveling SNP pairwise epistatic effects associated with sheep body weight.

Peng Zuo, Chaoxin Zhang, Yupeng Gao, Lijunyi Zhao, Jiaxu Guo, Yonglin Yang, Qian Yu, Yunna Li, Zhipeng Wang, Hua Yang

Abstract read
PubMed Full text at PMC Publisher
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
0.2field-weighted citation impact, top 37% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. A Functional Regulatory Variant ofAnimals : an open access journal from MDPI · 2025
    Article
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

10 authors at 2 institutions in 2 countries.

Peng ZuoCollege of Science, Northeast Agricultural University, Harbin.
Chaoxin ZhangBioinformatics Center, Northeast Agricultural University, Harbin, China.
Yupeng GaoBioinformatics Center, Northeast Agricultural University, Harbin, China.
Lijunyi ZhaoBioinformatics Center, Northeast Agricultural University, Harbin, China.
Jiaxu GuoBioinformatics Center, Northeast Agricultural University, Harbin, China.
Yonglin YangState Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural Reclamation, Shihezi, Hebei, China.
Qian YuState Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural Reclamation, Shihezi, Hebei, China.
Yunna LiBioinformatics Center, Northeast Agricultural University, Harbin, China.
Zhipeng WangBioinformatics Center, Northeast Agricultural University, Harbin, China.
Hua YangState Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural Reclamation, Shihezi, Hebei, China.
Northeast Agricultural University · CNXinjiang Academy of Agricultural and Reclamation Science · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epistatic effects are an important part of the genetic effect of complex traits in livestock. In this study, we used 218 synthetic ewes from the Xinjiang Academy of Agricultural Reclamation in China to identify interacting paired with genome-wide single nucleotide polymorphisms (SNPs) associated with birth weight, weaning weight, and one-yearling weight. We detected 2 and 66 SNP-SNP interactions of sheep birth weight and weaning weight, respectively. No significant epistatic interaction of one-year-old body weight was detected. The genetic interaction of sheep body weight is dynamic and time-dependent. Most significant interactions of weaning body weight contributed 1% or higher. In the weaning weight trait, 66 significant SNP pairs consisted of 98 single SNPs covering 23 chromosomes, 5 of which were nonsynonymous SNPs (nsSNPs), resulting in single amino acid substitution. We found that genes that interact with transcription factors (TFs) are target genes for the corresponding TFs. Four epitron networks affecting weaning weight, including subnetworks of

Indexed as

Epistasis, GeneticPolymorphism, Single NucleotideAnimalsBirth WeightBody WeightFemaleGenomeSheepTranscription FactorsTranscription FactorsBody weightEpistasisGenome-wide interaction studiesSheepSubnetwork

Identifiers

PMID36495095
PMCPMC13353339
OpenAlexW4311022738

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.