Evidence map›Paper›PMID 28169328›Full record

ArticleScientific reports2017

Searching for new loci and candidate genes for economically important traits through gene-based association analysis of Simmental cattle.

Jiangwei Xia, Huizhong Fan, Tianpeng Chang, Lingyang Xu, Wengang Zhang, Yuxin Song, Bo Zhu, Lupei Zhang, Xue Gao, Yan Chen and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
4.2field-weighted citation impact, top 6% 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

37 citing papers in PubMed, 94 citations in OpenAlex.

  1. Article
  2. Article
  3. Genome-wide association study of mature cow size traits in American Angus cattle.Mammalian genome : official journal of the International Mammalian Genome Society · 2026
    Article
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  7. Single-Step Genome-Wide Association Study of Factors for Evaluated and Linearly Scored Traits in Swedish Warmblood Horses.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2025
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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

12 authors at 1 institution in 1 country.

Jiangwei XiaInstitute of Animal Science, Chinese Academy of Agricultural Science, Beijing, China.
Huizhong FanInstitute of Animal Science, Chinese Academy of Agricultural Science, Beijing, China.
Tianpeng ChangInstitute of Animal Science, Chinese Academy of Agricultural Science, Beijing, China.
Lingyang XuInstitute of Animal Science, Chinese Academy of Agricultural Science, Beijing, China.
Wengang ZhangInstitute of Animal Science, Chinese Academy of Agricultural Science, Beijing, China.
Yuxin SongInstitute of Animal Science, Chinese Academy of Agricultural Science, Beijing, China.
Bo ZhuInstitute of Animal Science, Chinese Academy of Agricultural Science, Beijing, China.
Lupei ZhangInstitute of Animal Science, Chinese Academy of Agricultural Science, Beijing, China.
Xue GaoInstitute of Animal Science, Chinese Academy of Agricultural Science, Beijing, China.
Yan ChenInstitute of Animal Science, Chinese Academy of Agricultural Science, Beijing, China.
Junya LiInstitute of Animal Science, Chinese Academy of Agricultural Science, Beijing, China.
Huijiang GaoInstitute of Animal Science, Chinese Academy of Agricultural Science, Beijing, China.
Chinese Academy of Agricultural Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-marker genome-wide association study (GWAS) is a convenient strategy of genetic analysis that has been successful in detecting the association of a number of single-nucleotide polymorphisms (SNPs) with quantitative traits. However, analysis of individual SNPs can only account for a small proportion of genetic variation and offers only limited knowledge of complex traits. This inadequacy may be overcome by employing a gene-based GWAS analytic approach, which can be considered complementary to the single-SNP association analysis. Here we performed an initial single-SNP GWAS for bone weight (BW) and meat pH value with a total of 770,000 SNPs in 1141 Simmental cattle. Additionally, 21836 cattle genes collected from the Ensembl Genes 83 database were analyzed to find supplementary evidence to support the importance of gene-based association study. Results of the single SNP-based association study showed that there were 11 SNPs significantly associated with bone weight (BW) and two SNPs associated with meat pH value. Interestingly, all of these SNPs were located in genes detected by the gene-based association study.

Indexed as

Polymorphism, Single NucleotideQuantitative Trait, HeritableQuantitative Trait LociAbattoirsAnimalsBone and BonesBreedingCattleDatabases, GeneticGenetic MarkersGenome-Wide Association StudyHydrogen-Ion ConcentrationMeatOrgan SizeGenetic Markers

Identifiers

PMID28169328
PMCPMC5294460
OpenAlexW2587112589

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.