Evidence map›Paper›PMID 32050672›Full record

ArticleGenes2020

Comparative Transcriptome Analysis Identifying the Different Molecular Genetic Markers Related to Production Performance and Meat Quality in

Shuru Cheng, Xueying Wang, Quanwei Zhang, Yuqin He, Xia Zhang, Lei Yang, Jinping Shi

Abstract read
In one paragraph

Article in Genes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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  5. Article
  6. Missense Mutations inAnimals : an open access journal from MDPI · 2025
    Article
  7. Review
  8. Article
  9. Article
  10. Estimation of Genetic Parameters of Early Growth Traits in Dumeng Sheep.Animals : an open access journal from MDPI · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
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  20. 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

7 authors.

Shuru ChengCollege of Animal Science and Technology, Gansu Agricultural University, Lanzhou 730070, China.
Xueying WangCollege of Veterinary Medicine, Gansu Agricultural University, Lanzhou 730070, China.
Quanwei ZhangCollege of Life Science and Biotechnology, Gansu Agricultural University, Lanzhou 730070, China.
Yuqin HeCollege of Life Science and Biotechnology, Gansu Agricultural University, Lanzhou 730070, China.
Xia ZhangCollege of Life Science and Biotechnology, Gansu Agricultural University, Lanzhou 730070, China.
Lei YangCollege of Animal Science and Technology, Gansu Agricultural University, Lanzhou 730070, China.
Jinping ShiCollege of Animal Science and Technology, Gansu Agricultural University, Lanzhou 730070, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Crossbred sheep have many prominent traits, such as excellent production performance and high-quality meat, when compared to local sheep breeds. However, the genetic molecular markers related to these characteristics remain unclear. The crossbred MG × STH (small-tailed Han sheep (STH) × Mongolian sheep (MG)) breed and the STH breed were selected to measure production performance and meat quality. We used 14 indexes of production performance and meat quality, which in the MG × STH population showed significant differences compared to the STH breed. Subsequently, the

Indexed as

Activin Receptors, Type IIAnimalsBreedingCalciumFibronectinsGap JunctionsGenetic Association StudiesGenetic MarkersHybrid VigorOsteonectinOxytocinPhenotypeRed MeatRNA-SeqSheepSignal TransductionActivin Receptors, Type IICalciumFibronectinsGenetic MarkersOsteonectinOxytocincrossbredgeneticsmeat qualityOvis ariesproduction performancetranscriptome

Identifiers

PMID32050672
PMCPMC7074365

What OpenQuestion 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 OpenQuestion graph.