Evidence map›Paper›PMID 35741748›Full record

ArticleGenes2022

Genome-Wide Association Study of Potential Meat Quality Trait Loci in Ducks.

Qixin Guo, Lan Huang, Hao Bai, Zhixiu Wang, Yulin Bi, Guohong Chen, Yong Jiang, Guobin Chang

Open access · goldAbstract read
In one paragraph

Article in Genes, 2022. 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
3.4field-weighted citation impact, top 7% 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

7 citing papers in PubMed, 17 citations in OpenAlex.

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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 at 1 institution in 1 country.

Qixin GuoCollege of Animal Science, Technology of Yangzhou University, Yangzhou 225009, China.
Lan HuangCollege of Animal Science, Technology of Yangzhou University, Yangzhou 225009, China.
Hao BaiJoint International Research Laboratory of Agriculture and Agri-Product Safety, The Ministry of Education of China, Institutes of Agricultural Science and Technology Development, Yangzhou University, Yangzhou 225009, China.ORCID 0000-0002-5738-4186
Zhixiu WangCollege of Animal Science, Technology of Yangzhou University, Yangzhou 225009, China.
Yulin BiCollege of Animal Science, Technology of Yangzhou University, Yangzhou 225009, China.
Guohong ChenJoint International Research Laboratory of Agriculture and Agri-Product Safety, The Ministry of Education of China, Institutes of Agricultural Science and Technology Development, Yangzhou University, Yangzhou 225009, China.
Yong JiangCollege of Animal Science, Technology of Yangzhou University, Yangzhou 225009, China.
Guobin ChangCollege of Animal Science, Technology of Yangzhou University, Yangzhou 225009, China.ORCID 0000-0001-5712-626X
Yangzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With continuously increasing living standards and health requirements of consumers, meat quality is becoming an important consideration while buying meat products. To date, no genome-wide association study (GWAS) for copy number variants (CNVs) and single nucleotide polymorphisms (SNPs) has been conducted to reveal the genetic effects on meat quality in ducks. This study analyzed the phenotypic correlation and heritability of fat, water, collagen, and protein content of duck breast muscle. To identify the candidate variants for meat quality, we performed a GWAS using 273 ducks from an F2 population. The results of the SNP GWAS showed that the

Indexed as

DucksGenome-Wide Association StudyAnimalsMeatQuantitative Trait LociWaterWatercopy number variantsduckgenome-wide associate studymeat qualitysingle nucleotide polymorphism

Identifiers

PMID35741748
PMCPMC9222319
OpenAlexW4281836123

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.