Evidence map›Paper›PMID 37662987›Full record

ArticleFrontiers in veterinary science2023

Uncovering the candidate genes related to sheep body weight using multi-trait genome-wide association analysis.

Yunna Li, Hua Yang, Jing Guo, Yonglin Yang, Qian Yu, Yuanyuan Guo, Chaoxin Zhang, Zhipeng Wang, Peng Zuo

Abstract read
In one paragraph

Article in Frontiers in veterinary science, 2023. 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. Article
  2. Article
  3. Identification ofFrontiers in veterinary science · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Exploring Genetic Factors Associated withAnimals : an open access journal from MDPI · 2025
    Article
  9. 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

9 authors.

Yunna LiCollege of Animal Science and Technology, Northeast Agricultural University,, Harbin, China.
Hua YangState Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural and Reclamation Science,, Shihezi, China.
Jing GuoCollege of Animal Science and Technology, Northeast Agricultural University,, Harbin, China.
Yonglin YangState Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural and Reclamation Science,, Shihezi, China.
Qian YuState Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural and Reclamation Science,, Shihezi, China.
Yuanyuan GuoCollege of Animal Science and Technology, Northeast Agricultural University,, Harbin, China.
Chaoxin ZhangCollege of Animal Science and Technology, Northeast Agricultural University,, Harbin, China.
Zhipeng WangCollege of Animal Science and Technology, Northeast Agricultural University,, Harbin, China.
Peng ZuoState Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural and Reclamation Science,, Shihezi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In sheep, body weight is an economically important trait. This study sought to map genetic loci related to weaning weight and yearling weight. To this end, a single-trait and multi-trait genome-wide association study (GWAS) was performed using a high-density 600 K single nucleotide polymorphism (SNP) chip. The results showed that 43 and 56 SNPs were significantly associated with weaning weight and yearling weight, respectively. A region associated with both weaning and yearling traits (OARX: 6.74-7.04 Mb) was identified, suggesting that the same genes could play a role in regulating both these traits. This region was found to contain three genes (

Indexed as

body weightgenome-wide association analysismulti-traitsheepsingle-trait

Identifiers

PMID37662987
PMCPMC10469697

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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.