Evidence map›Paper›PMID 25330174›Full record

ArticlePloS one2014

Genome-wide association studies using haplotypes and individual SNPs in Simmental cattle.

Yang Wu, Huizhong Fan, Yanhui Wang, Lupei Zhang, Xue Gao, Yan Chen, Junya Li, HongYan Ren, Huijiang Gao

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

28 citing papers in PubMed, 59 citations in OpenAlex.

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  7. Genome-Wide Association Study of Fiber Diameter in Alpacas.Animals : an open access journal from MDPI · 2023
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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

9 authors at 2 institutions in 1 country.

Yang WuInstitute of Animal Science, Chinese Academy of Agricultural Science, Beijing, China.
Huizhong FanInstitute of Animal Science, Chinese Academy of Agricultural Science, Beijing, China.
Yanhui WangInstitute 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.
HongYan RenDepartment of life sciences, National Natural Science Foundation of China, Beijing, China.
Huijiang GaoInstitute of Animal Science, Chinese Academy of Agricultural Science, Beijing, China.
Chinese Academy of Agricultural Sciences · CNNational Natural Science Foundation of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent advances in high-throughput genotyping technologies have provided the opportunity to map genes using associations between complex traits and markers. Genome-wide association studies (GWAS) based on either a single marker or haplotype have identified genetic variants and underlying genetic mechanisms of quantitative traits. Prompted by the achievements of studies examining economic traits in cattle and to verify the consistency of these two methods using real data, the current study was conducted to construct the haplotype structure in the bovine genome and to detect relevant genes genuinely affecting a carcass trait and a meat quality trait. Using the Illumina BovineHD BeadChip, 942 young bulls with genotyping data were introduced as a reference population to identify the genes in the beef cattle genome significantly associated with foreshank weight and triglyceride levels. In total, 92,553 haplotype blocks were detected in the genome. The regions of high linkage disequilibrium extended up to approximately 200 kb, and the size of haplotype blocks ranged from 22 bp to 199,266 bp. Additionally, the individual SNP analysis and the haplotype-based analysis detected similar regions and common SNPs for these two representative traits. A total of 12 and 7 SNPs in the bovine genome were significantly associated with foreshank weight and triglyceride levels, respectively. By comparison, 4 and 5 haplotype blocks containing the majority of significant SNPs were strongly associated with foreshank weight and triglyceride levels, respectively. In addition, 36 SNPs with high linkage disequilibrium were detected in the GNAQ gene, a potential hotspot that may play a crucial role for regulating carcass trait components.

Indexed as

HaplotypesAnimalsCattleGenome-Wide Association StudyGenomicsMaleMeatPolymorphism, Single Nucleotide

Identifiers

PMID25330174
PMCPMC4203724
OpenAlexW1975376531

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.