Evidence map›Paper›PMID 24374893›Full record

ArticleMolecular biology reports2014

SNP and haplotype analysis reveal IGF2 variants associated with growth traits in Chinese Qinchuan cattle.

Yong-Zhen Huang, Zhao-Yang Zhan, Xin-Yi Li, Sheng-Ru Wu, Yu-Jia Sun, Jing Xue, Xian-Yong Lan, Chu-Zhao Lei, Chun-Lei Zhang, Yu-Tang Jia and 1 more

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Article in Molecular biology reports, 2014. 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
0.8field-weighted citation impact, top 25% 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

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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, 25 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.

Yong-Zhen HuangCollege of Animal Science and Technology, Northwest A&F University, Shaanxi Key Laboratory of Molecular Biology for Agriculture, No. 22 Xinong Road, Yangling, 712100, Shaanxi, China.
Zhao-Yang Zhan
Xin-Yi Li
Sheng-Ru Wu
Yu-Jia Sun
Jing Xue
Xian-Yong Lan
Chu-Zhao Lei
Chun-Lei Zhang
Yu-Tang Jia
Hong Chen
Northwest A&F University · CNAnimal Science Research Institute · CNJiangsu Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Insulin-like growth factor 2 (IGF2) is a potent cell growth and differentiation factor and is implicated in mammals' growth and development. The objective of this study was to evaluate the effects of the mutations in the bovine IGF2 with growth traits in Chinese Qinchuan cattle. Four single nucleotide polymorphisms (SNPs) were detected of the bovine IGF2 by DNA pool sequencing and forced polymerase chain reaction-restriction fragment length polymorphism (forced PCR-RFLP) methods. We also investigated haplotype structure and linkage disequilibrium (LD) coefficients for four SNPs in 817 individuals representing two main cattle breeds from China. The result of haplotype analysis showed eight different haplotypes and 27 combined genotypes within the study population. The statistical analyses indicated that the four SNPs, combined genotypes and haplotypes are associated with the withers height, body length, chest breadth, chest depth and body weight in Qinchuan cattle population (P < 0.05 or <0.01). The mutant-type variants and mutant haplotype (Hap 8: ATGG; likely to be the beneficial QTN allele) was superior for growth traits; the heterozygote diplotype was associated with higher growth traits compared to wild-type homozygote. Our results provide evidence that polymorphisms in the IGF2 gene are associated with growth traits, and may be used for marker-assisted selection in beef cattle breeding program.

Indexed as

Quantitative Trait, HeritableAnimalsBody WeightBreedingCattleChinaGenotypeHaplotypesInsulin-Like Growth Factor IILinkage DisequilibriumPolymorphism, Single NucleotideIGF2 protein, humanInsulin-Like Growth Factor II

Identifiers

PMID24374893
OpenAlexW2043440306

What OpenQuestion holds

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Registered trials

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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.