Evidence map›Paper›PMID 27126640›Full record

ArticleMammalian genome : official journal of the International Mammalian Genome Society2016

Genome-wide association study identifies loci and candidate genes for meat quality traits in Simmental beef cattle.

Jiangwei Xia, Xin Qi, Yang Wu, Bo Zhu, Lingyang Xu, Lupei Zhang, Xue Gao, Yan Chen, Junya Li, Huijiang Gao

Abstract read
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In one paragraph

Article in Mammalian genome : official journal of the International Mammalian Genome Society, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
5.1field-weighted citation impact, top 5% 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

24 citing papers in PubMed, 88 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

10 authors at 1 institution in 1 country.

Jiangwei XiaInstitute of Animal Science, Chinese Academy of Agricultural Science, No.2 Yuanmingyuan West Road, Haidian District, Beijing, 100193, China.
Xin QiInstitute of Animal Science, Chinese Academy of Agricultural Science, No.2 Yuanmingyuan West Road, Haidian District, Beijing, 100193, China.
Yang WuInstitute of Animal Science, Chinese Academy of Agricultural Science, No.2 Yuanmingyuan West Road, Haidian District, Beijing, 100193, China.
Bo ZhuInstitute of Animal Science, Chinese Academy of Agricultural Science, No.2 Yuanmingyuan West Road, Haidian District, Beijing, 100193, China.
Lingyang XuInstitute of Animal Science, Chinese Academy of Agricultural Science, No.2 Yuanmingyuan West Road, Haidian District, Beijing, 100193, China.
Lupei ZhangInstitute of Animal Science, Chinese Academy of Agricultural Science, No.2 Yuanmingyuan West Road, Haidian District, Beijing, 100193, China.
Xue GaoInstitute of Animal Science, Chinese Academy of Agricultural Science, No.2 Yuanmingyuan West Road, Haidian District, Beijing, 100193, China.
Yan ChenInstitute of Animal Science, Chinese Academy of Agricultural Science, No.2 Yuanmingyuan West Road, Haidian District, Beijing, 100193, China.
Junya LiInstitute of Animal Science, Chinese Academy of Agricultural Science, No.2 Yuanmingyuan West Road, Haidian District, Beijing, 100193, China. jl1@iascaas.net.cn.
Huijiang GaoInstitute of Animal Science, Chinese Academy of Agricultural Science, No.2 Yuanmingyuan West Road, Haidian District, Beijing, 100193, China. gaohj111@sina.com.
Chinese Academy of Agricultural Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Improving meat quality is the best way to enhance profitability and strengthen competitiveness in beef industry. Identification of genetic variants that control beef quality traits can help breeders design optimal breeding programs to achieve this goal. We carried out a genome-wide association study for meat quality traits in 1141 Simmental cattle using the Illumina Bovine HD 770K SNP array to identify the candidate genes and genomic regions associated with meat quality traits for beef cattle, including fat color, meat color, marbling score, longissimus muscle area, and shear force. In our study, we identified twenty significant single-nucleotide polymorphisms (SNPs) (p < 1.47 × 10(-6)) associated with these five meat quality traits. Notably, we observed several SNPs were in or near eleven genes which have been reported previously, including TMEM236, SORL1, TRDN, S100A10, AP2S1, KCTD16, LOC506594, DHX15, LAMA4, PREX1, and BRINP3. We identified a haplotype block on BTA13 containing five significant SNPs associated with fat color trait. We also found one of 19 SNPs was associated with multiple traits (shear force and longissimus muscle area) on BTA7. Our results offer valuable insights to further explore the potential mechanism of meat quality traits in Simmental beef cattle.

Indexed as

Genome-Wide Association StudyMeatAnimalsBreedingCattleGenotypeHaplotypesPhenotypePolymorphism, Single NucleotideQuantitative Trait Loci

Identifiers

PMID27126640
OpenAlexW2342961460

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.