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Candidate gene studies of fibromyalgia: a systematic review and meta-analysis

Overview of attention for article published in Rheumatology International, December 2010
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

policy
1 policy source
wikipedia
1 Wikipedia page

Citations

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80 Dimensions

Readers on

mendeley
72 Mendeley
Title
Candidate gene studies of fibromyalgia: a systematic review and meta-analysis
Published in
Rheumatology International, December 2010
DOI 10.1007/s00296-010-1678-9
Pubmed ID
Authors

Young Ho Lee, Sung Jae Choi, Jong Dae Ji, Gwan Gyu Song

Abstract

The aim of this study was to explore whether the candidate gene polymorphisms contribute to fibromyalgia susceptibility. The authors conducted a meta-analysis on associations between serotonin transporter (5-HTT) gene-linked polymorphic region (5-HTTLPR) S/L allele, catechol-O-methltransferase (COMT) val158Met, and serotonin 2A (5-HT2A) receptor 102T/C polymorphisms and fibromyalgia susceptibility as determined using the following: (1) allele contrast, (2) recessive, (3) dominant models, and (4) contrast of homozygotes. We also performed a systematic review with available data of the candidate genes. A total of 21 separate comparisons were considered in this systematic review and meta-analysis. Seventeen candidate genes and over 35 different polymorphisms were identified in studies on fibromyalgia susceptibility. Meta-analysis of the 5-HTTLPR S/L allele and COMT val158Met failed to reveal any association with fibromyalgia. However, meta-analysis of the C allele, CC + CT genotype, and CC versus TT genotype of the 5-HT2A receptor 102T/C polymorphism showed significant association with fibromyalgia. The overall OR of the association between the C allele and fibromyalgia was 1.333 (95% CI = 1.053-1.688, P = 0.017). The ORs for the CC + CT genotype, and CC versus TT genotype showed the same pattern as that observed for the C allele (OR = 1.541, 95% CI = 1.032-2.303, P = 0.035; OR = 1.838, 95% CI = 1.151-2.936, P = 0.011). This meta-analysis demonstrates that the 5-HT2A receptor 102T/C polymorphism confers susceptibility to fibromyalgia. In contrast, no association was found between the 5-HTTLPR S/L allele, COMT val158Met, and susceptibility to fibromyalgia.

Mendeley readers

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 1%
Australia 1 1%
Italy 1 1%
Denmark 1 1%
Unknown 68 94%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 15 21%
Student > Master 9 13%
Researcher 9 13%
Student > Ph. D. Student 7 10%
Unspecified 6 8%
Other 26 36%
Readers by discipline Count As %
Medicine and Dentistry 17 24%
Agricultural and Biological Sciences 14 19%
Psychology 10 14%
Unspecified 10 14%
Biochemistry, Genetics and Molecular Biology 5 7%
Other 16 22%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 02 March 2013.
All research outputs
#2,096,410
of 12,226,671 outputs
Outputs from Rheumatology International
#146
of 1,169 outputs
Outputs of similar age
#53,658
of 271,618 outputs
Outputs of similar age from Rheumatology International
#6
of 24 outputs
Altmetric has tracked 12,226,671 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,169 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done well, scoring higher than 84% 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 271,618 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 79% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.