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Genome-wide association study for rotator cuff tears identifies two significant single-nucleotide polymorphisms

Overview of attention for article published in Journal of Shoulder and Elbow Surgery, September 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

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2 blogs
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1 Facebook page

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65 Mendeley
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Title
Genome-wide association study for rotator cuff tears identifies two significant single-nucleotide polymorphisms
Published in
Journal of Shoulder and Elbow Surgery, September 2015
DOI 10.1016/j.jse.2015.07.005
Pubmed ID
Authors

Robert Z. Tashjian, Erin K. Granger, James M. Farnham, Lisa A. Cannon-Albright, Craig C. Teerlink

Abstract

The precise etiology of rotator cuff disease is unknown, but prior evidence suggests a role for genetic factors. Limited data exist identifying specific genes associated with rotator cuff tearing. The purpose of this study was to identify specific genes or genetic variants associated with rotator cuff tearing by a genome-wide association study with an independent set of rotator cuff tear cases. A set of 311 full-thickness rotator cuff tear cases genotyped on the Illumina 5M single-nucleotide polymorphism (SNP) platform were used in a genome-wide association study with 2641 genetically matched white population controls available from the Illumina iControls database. Tests of association were performed with GEMMA software at 257,558 SNPs that compose the intersection of Illumina SNP platforms and that passed general quality control metrics. SNPs were considered significant if P < 1.94 × 10(-7) (Bonferroni correction: 0.05/257,558). Tests of association revealed 2 significantly associated SNPs, one occurring in SAP30BP (rs820218; P = 3.8E-9) on chromosome 17q25 and another occurring in SASH1 (rs12527089; P = 1.9E-7) on chromosome 6q24. This study represents the first attempt to identify genetic factors influencing rotator cuff tearing by a genome-wide association study using a dense/complete set of SNPs. Two SNPs were significantly associated with rotator cuff tearing, residing in SAP30BP on chromosome 17 and SASH1 on chromosome 6. Both genes are associated with the cellular process of apoptosis. Identification of potential genes or genetic variants associated with rotator cuff tearing may help in identifying individuals at risk for the development of rotator cuff tearing.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 2%
Unknown 64 98%

Demographic breakdown

Readers by professional status Count As %
Other 7 11%
Researcher 7 11%
Student > Bachelor 6 9%
Student > Ph. D. Student 6 9%
Student > Postgraduate 6 9%
Other 17 26%
Unknown 16 25%
Readers by discipline Count As %
Medicine and Dentistry 17 26%
Biochemistry, Genetics and Molecular Biology 8 12%
Agricultural and Biological Sciences 5 8%
Nursing and Health Professions 5 8%
Neuroscience 3 5%
Other 9 14%
Unknown 18 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 December 2015.
All research outputs
#2,529,723
of 25,374,917 outputs
Outputs from Journal of Shoulder and Elbow Surgery
#214
of 3,304 outputs
Outputs of similar age
#32,541
of 278,016 outputs
Outputs of similar age from Journal of Shoulder and Elbow Surgery
#4
of 41 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,304 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has done particularly well, scoring higher than 93% 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 278,016 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.