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Previously reported PDE3ASLCO1C1 genetic variant does not correlate with anti-TNF response in a large UK rheumatoid arthritis cohort

Overview of attention for article published in Pharmacogenomics, May 2016
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Title
Previously reported PDE3ASLCO1C1 genetic variant does not correlate with anti-TNF response in a large UK rheumatoid arthritis cohort
Published in
Pharmacogenomics, May 2016
DOI 10.2217/pgs.16.16
Pubmed ID
Authors

Samantha Louise Smith, Darren Plant, Xiu Hue Lee, Jonathan Massey, Kimme Hyrich, Ann W Morgan, Anthony G Wilson, John Isaacs, Anne Barton

Abstract

A genetic variant has recently reached genome-wide significance for association with TNF-inhibitor response in rheumatoid arthritis patients. Here we undertake a replication study in a UK Caucasian population to test for association with TNF-inhibitor response. The genetic variant, rs3794271, located within the PDE3A-SLCO1C1 locus was analyzed for correlation with treatment response using both the EULAR classification criteria and absolute change in (Δ)DAS28 scores as outcome measures. Genotype data were available from 1750 TNF-inhibitor treated individuals. However, no evidence for association was observed (EULAR: p = 0.91 and ΔDAS28: p = 0.93). Furthermore, no significant associations were observed upon stratification by the anti-TNF received (p > 0.05). In the largest replication cohort conducted to date, no evidence for association was observed.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 22%
Student > Ph. D. Student 4 15%
Professor 2 7%
Student > Doctoral Student 1 4%
Student > Bachelor 1 4%
Other 5 19%
Unknown 8 30%
Readers by discipline Count As %
Medicine and Dentistry 8 30%
Pharmacology, Toxicology and Pharmaceutical Science 2 7%
Biochemistry, Genetics and Molecular Biology 2 7%
Agricultural and Biological Sciences 2 7%
Computer Science 1 4%
Other 2 7%
Unknown 10 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 19 August 2016.
All research outputs
#15,181,010
of 25,393,528 outputs
Outputs from Pharmacogenomics
#652
of 1,174 outputs
Outputs of similar age
#178,333
of 339,017 outputs
Outputs of similar age from Pharmacogenomics
#11
of 25 outputs
Altmetric has tracked 25,393,528 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,174 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 41st percentile – i.e., 41% of its peers scored the same or lower than it.
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 339,017 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 25 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 60% of its contemporaries.