Evidence map›Paper›PMID 25049850›Full record

ArticleAsian-Australasian journal of animal sciences2013

Genetic Polymorphisms of the Bovine NOV Gene Are Significantly Associated with Carcass Traits in Korean Cattle.

B S Kim, S C Kim, C M Park, S H Lee, S H Cho, N K Kim, G W Jang, D H Yoon, B S Yang, S K Hong and 2 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Asian-Australasian journal of animal sciences, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 43% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

12 authors at 2 institutions in 1 country.

B S KimAnimal Genome and Bioinformatics Division, National Institute of Animal Science, Rural Development Administration, Chuksan gil 77, Kwonsun-gu, Suwon, Korea.
S C KimAnimal Genome and Bioinformatics Division, National Institute of Animal Science, Rural Development Administration, Chuksan gil 77, Kwonsun-gu, Suwon, Korea.
C M ParkAnimal Genome and Bioinformatics Division, National Institute of Animal Science, Rural Development Administration, Chuksan gil 77, Kwonsun-gu, Suwon, Korea.
S H LeeAnimal Genome and Bioinformatics Division, National Institute of Animal Science, Rural Development Administration, Chuksan gil 77, Kwonsun-gu, Suwon, Korea.
S H ChoAnimal Genome and Bioinformatics Division, National Institute of Animal Science, Rural Development Administration, Chuksan gil 77, Kwonsun-gu, Suwon, Korea.
N K KimAnimal Genome and Bioinformatics Division, National Institute of Animal Science, Rural Development Administration, Chuksan gil 77, Kwonsun-gu, Suwon, Korea.
G W JangAnimal Genome and Bioinformatics Division, National Institute of Animal Science, Rural Development Administration, Chuksan gil 77, Kwonsun-gu, Suwon, Korea.
D H YoonAnimal Genome and Bioinformatics Division, National Institute of Animal Science, Rural Development Administration, Chuksan gil 77, Kwonsun-gu, Suwon, Korea.
B S YangAnimal Genome and Bioinformatics Division, National Institute of Animal Science, Rural Development Administration, Chuksan gil 77, Kwonsun-gu, Suwon, Korea.
S K HongAnimal Genome and Bioinformatics Division, National Institute of Animal Science, Rural Development Administration, Chuksan gil 77, Kwonsun-gu, Suwon, Korea.
H H SeongAnimal Genome and Bioinformatics Division, National Institute of Animal Science, Rural Development Administration, Chuksan gil 77, Kwonsun-gu, Suwon, Korea.
B H ChoiAnimal Genome and Bioinformatics Division, National Institute of Animal Science, Rural Development Administration, Chuksan gil 77, Kwonsun-gu, Suwon, Korea.
National Institute of Animal Science · KRRural Development Administration · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this study was to investigate single nucleotide polymorphisms (SNPs) in the bovine nephroblastoma overexpressed (NOV) gene and to evaluate whether these polymorphisms affect carcass traits in the Korean cattle population. We resequenced to detect SNPs from 24 unrelated individuals and identified 19 SNPs within the full 8.4-kb gene, including the 1.5-kb promoter region. Of these 19 SNPs, four were selected for genotyping based on linkage disequilibrium (LD). We genotyped 429 steers to assess the associations of these four SNPs with carcass traits. Statistical analysis revealed that g.7801T>C and g.8379A>C polymorphisms in the NOV gene were associated with carcass weight (p = 0.012 and 0.008, respectively), and the g.2005A>G polymorphism was associated with the back fat thickness (BF) trait (p = 0.0001). One haplotype of the four SNPs (GGTA) was significantly associated with BF (p = 0.0005). Our findings suggest that polymorphisms in the NOV gene may be among the important genetic factors affecting carcass yield in beef cattle.

Indexed as

Back Fat ThicknessCarcass WeightKorean CattleNOV GeneSingle Nucleotide Polymorphism

Identifiers

PMID25049850
PMCPMC4093253
OpenAlexW2063067530

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.