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Genome-wide association study identifies candidate genes for piglet splay leg syndrome in different populations

Overview of attention for article published in BMC Genomic Data, July 2017
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  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

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Title
Genome-wide association study identifies candidate genes for piglet splay leg syndrome in different populations
Published in
BMC Genomic Data, July 2017
DOI 10.1186/s12863-017-0532-4
Pubmed ID
Authors

Xingjie Hao, Graham Plastow, Chunyan Zhang, Sutong Xu, Zhiqiu Hu, Tianfu Yang, Kai Wang, Huawei Yang, Xiaoxue Yin, Shili Liu, Zhenghua Wang, Zhiquan Wang, Shujun Zhang

Abstract

Piglet splay leg syndrome (PSL) is one of the most frequent genetic defects, and can cause considerable economic loss in pig production. The present understanding of etiology and pathogenesis of PSL is poor. The current study focused on identifying loci associated with PSL through a genome-wide association study (GWAS) performed with the Illumina Porcine60 SNP Beadchip v2.0. The study was a case/control design with four pig populations (Duroc, Landrace, Yorkshire and one crossbred of Landrace × Yorkshire). After quality control of the genotyping data, 185 animals (73 cases, 112 controls) and 43,495 SNPs were retained for further analysis. Principal components (PCs) identified from the genomic kinship matrix were included in the statistical model for correcting the effect of population structure. Seven chromosome-wide significant SNPs were identified on Sus scrofa chromosome 1 (SSC1), SSC2 (2 SNPs), SSC7, SSC15 (2 SNPs) and SSC16 after strict Bonferroni correction. Four genes (HOMER1 and JMY on SSC2, ITGA1 on SSC16, and RAB32 on SSC1) related to muscle development, glycogen metabolism and mitochondrial dynamics were identified as potential candidate genes for PSL. We identified seven chromosome-wide significant SNPs associated with PSL and four potential candidate genes for PSL. To our knowledge, this is the first pilot study aiming to identify the loci associated with PSL using GWAS. Further investigations and validations for those findings are encouraged.

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 18%
Student > Ph. D. Student 5 18%
Researcher 3 11%
Student > Bachelor 2 7%
Student > Doctoral Student 1 4%
Other 4 14%
Unknown 8 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 46%
Biochemistry, Genetics and Molecular Biology 2 7%
Medicine and Dentistry 2 7%
Business, Management and Accounting 1 4%
Social Sciences 1 4%
Other 1 4%
Unknown 8 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 April 2022.
All research outputs
#7,357,897
of 25,382,440 outputs
Outputs from BMC Genomic Data
#252
of 1,204 outputs
Outputs of similar age
#109,068
of 325,782 outputs
Outputs of similar age from BMC Genomic Data
#5
of 22 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 77% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 325,782 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.