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Genetic susceptibility loci of idiopathic interstitial pneumonia do not represent risk for systemic sclerosis: a case control study in Caucasian patients

Overview of attention for article published in Arthritis Research & Therapy, January 2016
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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 (89th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

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2 news outlets

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38 Mendeley
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Title
Genetic susceptibility loci of idiopathic interstitial pneumonia do not represent risk for systemic sclerosis: a case control study in Caucasian patients
Published in
Arthritis Research & Therapy, January 2016
DOI 10.1186/s13075-016-0923-3
Pubmed ID
Authors

Minghua Wu, Shervin Assassi, Gloria A. Salazar, Claudia Pedroza, Olga Y. Gorlova, Wei V. Chen, Julio Charles, Miranda L. Taing, Kelley Liao, Fredrick M. Wigley, Laura K. Hummers, Ami A. Shah, Monique Hinchcliff, Dinesh Khanna, Elena Schiopu, Kristine Phillips, Daniel E. Furst, Virginia Steen, Murray Baron, Marie Hudson, Xiaodong Zhou, Janet Pope, Niall Jones, Peter Docherty, Nader A. Khalidi, David Robinson, Robert W. Simms, Richard M. Silver, Tracy M. Frech, Barri J. Fessler, Marvin J. Fritzler, Jerry A. Molitor, Barbara M. Segal, Malahat Movahedian, Javier Martín, John Varga, Maureen D. Mayes

Abstract

Systemic sclerosis (SSc)-related interstitial lung disease (ILD) has phenotypic similarities to lung involvement in idiopathic interstitial pneumonia (IIP). We aimed to assess whether genetic susceptibility loci recently identified in the large IIP genome-wide association studies (GWASs) were also risk loci for SSc overall or severity of ILD in SSc. A total of 2571 SSc patients and 4500 healthy controls were investigated from the US discovery GWAS and additional US replication cohorts. Thirteen IIP-related selected single nucleotide polymorphisms (SNPs) were genotyped and analyzed for their association with SSc. We found an association of SSc with the SNP rs6793295 in the LRRC34 gene (OR = 1.14, CI 95 % 1.03 to 1.25, p value = 0.009) and rs11191865 in the OBFC1 gene (OR = 1.09, CI 95 % 1.00 to 1.19, p value = 0.043) in the discovery cohort. Additionally, rs7934606 in MUC2 (OR = 1.24, CI 95 % 1.01 to 1.52, p value = 0.037) was associated with SSc-ILD defined by imaging. However, these associations failed to replicate in the validation cohort. Furthermore, SNPs rs2076295 in DSP (β = -2.29, CI 95 % -3.85 to -0.74, p value = 0.004) rs17690703 in SPPL2C (β = 2.04, CI 95 % 0.21 to 3.88, p value = 0.029) and rs1981997 in MAPT (β = 2.26, CI 95 % 0.35 to 4.17, p value = 0.02) were associated with percent predicted forced vital capacity (FVC%) even after adjusting for the anti-topoisomerase (ATA)-positive subset. However, these associations also did not replicate in the validation cohort. Our results add new evidence that SSc and SSc-related ILD are genetically distinct from IIP, although they share phenotypic similarities.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 21%
Other 5 13%
Student > Bachelor 5 13%
Professor > Associate Professor 4 11%
Librarian 2 5%
Other 7 18%
Unknown 7 18%
Readers by discipline Count As %
Medicine and Dentistry 17 45%
Biochemistry, Genetics and Molecular Biology 5 13%
Nursing and Health Professions 2 5%
Engineering 2 5%
Computer Science 1 3%
Other 3 8%
Unknown 8 21%
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 04 February 2016.
All research outputs
#2,485,852
of 25,374,917 outputs
Outputs from Arthritis Research & Therapy
#456
of 3,380 outputs
Outputs of similar age
#41,732
of 403,320 outputs
Outputs of similar age from Arthritis Research & Therapy
#18
of 82 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 3,380 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one has done well, scoring higher than 85% 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 403,320 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 89% of its contemporaries.
We're also able to compare this research output to 82 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 74% of its contemporaries.