Evidence map›Paper›PMID 38254442›Full record

ReviewAnimals : an open access journal from MDPI2024

Pan-Omics in Sheep: Unveiling Genetic Landscapes.

Mengfei Li, Ying Lu, Zhendong Gao, Dan Yue, Jieyun Hong, Jiao Wu, Dongmei Xi, Weidong Deng, Yuqing Chong

Abstract readReview
In one paragraph

Review in Animals : an open access journal from MDPI, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. 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.

Mengfei LiFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China.
Ying LuFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China.
Zhendong GaoFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China.
Dan YueFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China.
Jieyun HongFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China.
Jiao WuFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China.
Dongmei XiFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China.
Weidong DengFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China.ORCID 0000-0002-9620-2082
Yuqing ChongFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China.

Funding

Major Science and Technology Projects in Yunnan Province 202202AE090005The National Nature Science Foundation of China 3216200081The National Nature Science Foundation of China 32302707Yunnan Provincial Academician and Expert Workstation 202105AF150043Yunnan Provincial Agricultural Union Foundation 202101BD070001-006
6 · The paper itself

Abstract

Multi-omics-integrated analysis, known as panomics, represents an advanced methodology that harnesses various high-throughput technologies encompassing genomics, epigenomics, transcriptomics, proteomics, and metabolomics. Sheep, playing a pivotal role in agricultural sectors due to their substantial economic importance, have witnessed remarkable advancements in genetic breeding through the amalgamation of multiomics analyses, particularly with the evolution of high-throughput technologies. This integrative approach has established a robust theoretical foundation, enabling a deeper understanding of sheep genetics and fostering improvements in breeding strategies. The comprehensive insights obtained through this approach shed light on diverse facets of sheep development, including growth, reproduction, disease resistance, and the quality of livestock products. This review primarily focuses on the application of principal omics analysis technologies in sheep, emphasizing correlation studies between multiomics data and specific traits such as meat quality, wool characteristics, and reproductive features. Additionally, this paper anticipates forthcoming trends and potential developments in this field.

Indexed as

genetic breeding insightsmultiomics integrationsheep

Identifiers

PMID38254442
PMCPMC10812798

What OpenQuestion holds

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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 OpenQuestion graph.