Evidence map›Paper›PMID 39532956›Full record

ArticleScientific reports2024

A genome-wide association study of the racing performance traits in Yili horses based on Blink and FarmCPU models.

Chuankun Wang, Yaqi Zeng, Jianwen Wang, Tongliang Wang, Xueyan Li, Zhehong Shen, Jun Meng, Xinkui Yao

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
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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

8 authors.

Chuankun WangCollege of Animal Science, Xinjiang Agricultural University, Urumqi, 830052, China.
Yaqi ZengCollege of Animal Science, Xinjiang Agricultural University, Urumqi, 830052, China.
Jianwen WangCollege of Animal Science, Xinjiang Agricultural University, Urumqi, 830052, China.
Tongliang WangCollege of Animal Science, Xinjiang Agricultural University, Urumqi, 830052, China.
Xueyan LiCollege of Animal Science, Xinjiang Agricultural University, Urumqi, 830052, China.
Zhehong ShenCollege of Animal Science, Xinjiang Agricultural University, Urumqi, 830052, China.
Jun MengCollege of Animal Science, Xinjiang Agricultural University, Urumqi, 830052, China. junm86@163.com.
Xinkui YaoCollege of Animal Science, Xinjiang Agricultural University, Urumqi, 830052, China. yxk61@126.com.

Funding

and The Innovation Environment (Talent, Base) Construction Project of Xinjiang PT2311Development of Key Technologies for the Horse Industry in Xinjiang 2022A02013
6 · The paper itself

Abstract

Racing performance traits are the main indicators for evaluating the performance and value of sport horses. The aim of this study was to identify the key genes for racing performance traits in Yili horses by performing a genome-wide association study (GWAS). Breeding values for racing performance traits were calculated for Yili horses (n = 827) using an animal model. Genome-wide association analysis of racing performance traits in horses (n = 236) was carried out using the Blink, and FarmCPU models in GAPIT software, and genes within the significant regions were functionally annotated. The results of GWAS showed that a total of 24 significant SNP markers (P < 6.05 × 10

Indexed as

Genome-Wide Association StudyPolymorphism, Single NucleotideAnimalsBreedingHorsesPhenotypePhysical Conditioning, AnimalQuantitative Trait LociGWASRacing performanceRanking scoreSpeedYili horses

Identifiers

PMID39532956
PMCPMC11557848

What Socratic 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 Socratic graph.