Evidence map›Paper›PMID 21573793›Full record

ArticleMolecular biology reports2012

A novel SNP of liver-type fatty acid-binding protein gene in duck and its associations with the intramuscular fat.

Jun He, Jiucheng Chen, Lizhi Lu, Yong Tian, Zhengrong Tao, Deqian Wang, Jinjun Li, Guoqin Li, Junda Shen, Yan Fu and 1 more

Abstract read
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Article in Molecular biology reports, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

6 citing papers in PubMed, 18 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

11 authors at 3 institutions in 1 country.

Jun HeCollege of Animal Sciences, Zhejiang University, No. 388 Yuhangtang Road, Hangzhou 310058, People's Republic of China.
Jiucheng Chen
Lizhi Lu
Yong Tian
Zhengrong Tao
Deqian Wang
Jinjun Li
Guoqin Li
Junda Shen
Yan Fu
Dong Niu
ZheJiang Academy of Agricultural Sciences · CNAnimal Science Research Institute · CNZhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liver-type fatty acid-binding protein (L-FABP) is a member of intracellular lipid-binding proteins involved in the transportation of fatty acids. We detected the polymorphisms of duck L-FABP gene and its association with the intramuscular fat (IMF) and other fat-related traits. The complete sequence of duck L-FABP gene (four exons and three introns, 2,542 bp) was obtained in this study. The polymorphism of L-FABP gene was examined with direct DNA sequencing method in 231 individuals from different breeds, and a novel single nucleotide polymorphism in the exon 3 was detected. The polymorphism was shown to be associated with the contents of C16:0, C18:3 and the total IMF in pectoral muscle. The content of C16:0 in genotype CC was significantly higher than CT (P < 0.01) and TT (P < 0.01), and the genotype CT was higher than TT (P < 0.01). The content of C18:3 in genotype TT was significantly higher than CC and CT (P < 0.01), whereas the genotype CC and CT had no significant difference (P > 0.05). The content of IMF in genotype CC was significantly higher than CT (P < 0.01). However, no significant difference was detected between genotype CC and TT or genotype CT and TT (P > 0.05).

Indexed as

Adipose Tissue, WhiteAnimalsBase SequenceBody CompositionCloning, MolecularDNA PrimersDucksFatty Acid-Binding ProteinsGenetic Association StudiesMolecular Sequence DataPectoralis MusclesPolymorphism, Single NucleotideSequence Analysis, DNASpecies SpecificityDNA PrimersFatty Acid-Binding Proteins

Identifiers

PMID21573793
OpenAlexW2087364761

What OpenQuestion holds

Textmetadata
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.