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Identification of candidate genes associated with fibromyalgia susceptibility in southern Spanish women: the al-Ándalus project

Overview of attention for article published in Journal of Translational Medicine, February 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (73rd percentile)

Mentioned by

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8 tweeters
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2 Facebook pages

Citations

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3 Dimensions

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48 Mendeley
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Title
Identification of candidate genes associated with fibromyalgia susceptibility in southern Spanish women: the al-Ándalus project
Published in
Journal of Translational Medicine, February 2018
DOI 10.1186/s12967-018-1416-8
Pubmed ID
Authors

Fernando Estévez-López, Daniel Camiletti-Moirón, Virginia A. Aparicio, Víctor Segura-Jiménez, Inmaculada C. Álvarez-Gallardo, Alberto Soriano-Maldonado, Milkana Borges-Cosic, Pedro Acosta-Manzano, Rinie Geenen, Manuel Delgado-Fernández, Luis J. Martínez-González, Jonatan R. Ruiz, María J. Álvarez-Cubero

Abstract

Candidate-gene studies on fibromyalgia susceptibility often include a small number of single nucleotide polymorphisms (SNPs), which is a limitation. Moreover, there is a paucity of evidence in Europe. Therefore, we compared genotype frequencies of candidate SNPs in a well-characterised sample of Spanish women with fibromyalgia and healthy non-fibromyalgia women. A total of 314 women with a diagnosis of fibromyalgia (cases) and 112 non-fibromyalgia healthy (controls) women participated in this candidate-gene study. Buccal swabs were collected for DNA extraction. Using TaqMan™ OpenArray™, we analysed 61 SNPs of 33 genes related to fibromyalgia susceptibility, symptoms, or potential mechanisms. We observed that the rs841 and rs1799971 GG genotype was more frequently observed in fibromyalgia than in controls (p = 0.04 and p = 0.02, respectively). The rs2097903 AT/TT genotypes were also more often present in the fibromyalgia participants than in their control peers (p = 0.04). There were no differences for the remaining SNPs. We identified, for the first time, associations of the rs841 (guanosine triphosphate cyclohydrolase 1 gene) and rs2097903 (catechol-O-methyltransferase gene) SNPs with higher risk of fibromyalgia susceptibility. We also confirmed that the rs1799971 SNP (opioid receptor μ1 gene) might confer genetic risk of fibromyalgia. We did not adjust for multiple comparisons, which would be too stringent and yield to non-significant differences in the genotype frequencies between cases and controls. Our findings may be biologically meaningful and informative, and should be further investigated in other populations. Of particular interest is to replicate the present study in a larger independent sample to confirm or refute our findings. On the other hand, by including 61 SNPs of 33 candidate-genes with a strong rationale (they were previously investigated in relation to fibromyalgia susceptibility, symptoms or potential mechanisms), the present research is the most comprehensive candidate-gene study on fibromyalgia susceptibility to date.

Twitter Demographics

The data shown below were collected from the profiles of 8 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 15%
Student > Master 7 15%
Student > Doctoral Student 4 8%
Student > Bachelor 4 8%
Professor > Associate Professor 4 8%
Other 11 23%
Unknown 11 23%
Readers by discipline Count As %
Medicine and Dentistry 7 15%
Sports and Recreations 6 13%
Nursing and Health Professions 4 8%
Biochemistry, Genetics and Molecular Biology 3 6%
Psychology 3 6%
Other 10 21%
Unknown 15 31%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 09 July 2019.
All research outputs
#2,869,426
of 15,404,980 outputs
Outputs from Journal of Translational Medicine
#418
of 2,899 outputs
Outputs of similar age
#73,479
of 277,008 outputs
Outputs of similar age from Journal of Translational Medicine
#1
of 2 outputs
Altmetric has tracked 15,404,980 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,899 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. 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 277,008 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 73% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them