Evidence map›Paper›PMID 31963922›Full record

ArticleAnimals : an open access journal from MDPI2020

Genome-Wide Association Study of Body Weight Traits in Chinese Fine-Wool Sheep.

Zengkui Lu, Yaojing Yue, Chao Yuan, Jianbin Liu, Zhiqiang Chen, Chune Niu, Xiaoping Sun, Shaohua Zhu, Hongchang Zhao, Tingting Guo and 1 more

Open access · goldAbstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
6.3field-weighted citation impact, top 3% 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

34 citing papers in PubMed, 60 citations in OpenAlex.

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  5. A Functional Regulatory Variant ofAnimals : an open access journal from MDPI · 2025
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  13. Genomic patterns of selection in morphometric traits across diverse Indian cattle breeds.Mammalian genome : official journal of the International Mammalian Genome Society · 2024
    Article
  14. Article
  15. Article
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  19. Article
  20. Animals : an open access journal from MDPI · 2023
    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

11 authors at 2 institutions in 1 country.

Zengkui LuLanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China.ORCID 0000-0002-5993-1083
Yaojing YueLanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China.
Chao YuanLanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China.
Jianbin LiuLanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China.
Zhiqiang ChenNovogene Bioinformatics Institute, Beijing 100029, China.
Chune NiuLanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China.
Xiaoping SunLanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China.
Shaohua ZhuLanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China.
Hongchang ZhaoLanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China.
Tingting GuoLanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China.
Bohui YangLanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China.
Lanzhou Institute of Husbandry and Pharmaceutical Sciences · CNNovogene Bioinformatics Institute · CN

Funding

the Agricultural Science and Technology Innovation Program of Chinese Academy of Agricultural Sciences CAAS-ASTIP-2015-LIHPSthe Major Output Research Topic of Chinese Academy of Agricultural Sciences CAAS-ZDXT2018006the Modern China Wool Cashmere Technology Research System CARS-39-02
6 · The paper itself

Abstract

Body weight is an important economic trait for sheep and it is vital for their successful production and breeding. Therefore, identifying the genomic regions and biological pathways that contribute to understanding variability in body weight traits is significant for selection purposes. In this study, the genome-wide associations of birth, weaning, yearling, and adult weights of 460 fine-wool sheep were determined using resequencing technology. The results showed that 113 single nucleotide polymorphisms (SNPs) reached the genome-wide significance levels for the four body weight traits and 30 genes were annotated effectively, including

Indexed as

body weightfine-wool sheepfunctional analysisgenome-wide association studygenomic analysis

Identifiers

PMID31963922
PMCPMC7022301
OpenAlexW3000598405

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.