Evidence map›Paper›PMID 25049955›Full record

ArticleAsian-Australasian journal of animal sciences2014

Genome-wide Association Study of Integrated Meat Quality-related Traits of the Duroc Pig Breed.

Taeheon Lee, Dong-Hyun Shin, Seoae Cho, Hyun Sung Kang, Sung Hoon Kim, Hak-Kyo Lee, Heebal Kim, Kang-Seok Seo

Abstract read
In one paragraph

Article in Asian-Australasian journal of animal sciences, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
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

13 citing papers in PubMed.

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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.

Taeheon LeeC&K genomics, Seoul National University Research Park, Seoul 151-919, Korea .
Dong-Hyun ShinC&K genomics, Seoul National University Research Park, Seoul 151-919, Korea .
Seoae ChoC&K genomics, Seoul National University Research Park, Seoul 151-919, Korea .
Hyun Sung KangDepartment of Animal Science and Technology, College of Life Science and Natural Resources, Sunchon National University, Suncheon, 540-742, Korea .
Sung Hoon KimGenomic Informatics Center, Hankyong National University, Anseong 456-749, Korea .
Hak-Kyo LeeGenomic Informatics Center, Hankyong National University, Anseong 456-749, Korea .
Heebal KimC&K genomics, Seoul National University Research Park, Seoul 151-919, Korea .
Kang-Seok SeoDepartment of Animal Science and Technology, College of Life Science and Natural Resources, Sunchon National University, Suncheon, 540-742, Korea .

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increasing importance of meat quality has implications for animal breeding programs. Research has revealed much about the genetic background of pigs, and many studies have revealed the importance of various genetic factors. Since meat quality is a complex trait which is affected by many factors, consideration of the overall phenotype is very useful to study meat quality. For integrating the phenotypes, we used principle component analysis (PCA). The significant SNPs refer to results of the GRAMMAR method against PC1, PC2 and PC3 of 14 meat quality traits of 181 Duroc pigs. The Genome-wide association study (GWAS) found 26 potential SNPs affecting various meat quality traits. The loci identified are located in or near 23 genes. The SNPs associated with meat quality are in or near five genes (ANK1, BMP6, SHH, PIP4K2A, and FOXN2) and have been reported previously. Twenty-five of the significant SNPs also located in meat quality-related QTL regions, these result supported the QTL effect indirectly. Each single gene typically affects multiple traits. Therefore, it is a useful approach to use integrated traits for the various traits at the same time. This innovative approach using integrated traits could be applied on other GWAS of complex-traits including meat-quality, and the results will contribute to improving meat-quality of pork.

Indexed as

Duroc PigGenome-wide Association StudyMeat QualityPrinciple Component Analysis

Identifiers

PMID25049955
PMCPMC4093258

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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.