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Genome-wide association study to identify potential genetic modifiers in a canine model for Duchenne muscular dystrophy

Overview of attention for article published in BMC Genomics, August 2016
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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 (67th percentile)

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Title
Genome-wide association study to identify potential genetic modifiers in a canine model for Duchenne muscular dystrophy
Published in
BMC Genomics, August 2016
DOI 10.1186/s12864-016-2948-z
Pubmed ID
Authors

Candice Brinkmeyer-Langford, Cynthia Balog-Alvarez, James J. Cai, Brian W. Davis, Joe N. Kornegay

Abstract

Duchenne muscular dystrophy (DMD) causes progressive muscle degeneration, cardiomyopathy and respiratory failure in approximately 1/5,000 boys. Golden Retriever muscular dystrophy (GRMD) resembles DMD both clinically and pathologically. Like DMD, GRMD exhibits remarkable phenotypic variation among affected dogs, suggesting the influence of modifiers. Understanding the role(s) of genetic modifiers of GRMD may identify genes and pathways that also modify phenotypes in DMD and reveal novel therapies. Therefore, our objective in this study was to identify genetic modifiers that affect discrete GRMD phenotypes. We performed a linear mixed-model (LMM) analysis using 16 variably-affected dogs from our GRMD colony (8 dystrophic, 8 non-dystrophic). All of these dogs were either full or half-siblings, and phenotyped for 19 objective, quantitative biomarkers at ages 6 and 12 months. Each biomarker was individually assessed. Gene expression profiles of 59 possible candidate genes were generated for two muscle types: the cranial tibialis and medial head of the gastrocnemius. SNPs significantly associated with GRMD biomarkers were identified on multiple chromosomes (including the X chromosome). Gene expression levels for candidate genes located near these SNPs correlated with biomarker values, suggesting possible roles as GRMD modifiers. The results of this study enhance our understanding of GRMD pathology and represent a first step toward the characterization of GRMD modifiers that may be relevant to DMD pathology. Such modifiers are likely to be useful for DMD treatment development based on their relationships to GRMD phenotypes.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 17%
Student > Bachelor 4 11%
Student > Postgraduate 3 9%
Professor > Associate Professor 3 9%
Student > Ph. D. Student 3 9%
Other 7 20%
Unknown 9 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 23%
Agricultural and Biological Sciences 5 14%
Medicine and Dentistry 4 11%
Pharmacology, Toxicology and Pharmaceutical Science 3 9%
Veterinary Science and Veterinary Medicine 3 9%
Other 3 9%
Unknown 9 26%
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 01 September 2016.
All research outputs
#8,042,304
of 25,593,129 outputs
Outputs from BMC Genomics
#3,497
of 11,287 outputs
Outputs of similar age
#117,806
of 355,817 outputs
Outputs of similar age from BMC Genomics
#82
of 273 outputs
Altmetric has tracked 25,593,129 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 11,287 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 67% 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 355,817 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 273 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.