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Association of HTR2A Polymorphisms With Chronic Widespread Pain and the Extent of Musculoskeletal Pain

Nicholl, Barbara I. ; Holliday, Kate L. ; Macfarlane, Gary J. ; Thomson, Wendy ; Davies, Kelly A. ; O'Neill, Terence W. ; Bartfai, Gyorgy ; Boonen, Steven ; Casanueva, Felipe F. and Finn, Joseph D. , et al. (2011) In Arthritis and Rheumatism 63(3). p.810-818
Abstract
Objective. The aim of the current study was to investigate whether genetic variation in genes across the serotoninergic system is associated with chronic widespread pain (CWP) and the number of pain sites reported. Methods. A discovery cohort, with pain data at 3 time points, was used to investigate genetic associations with 2 phenotypes: 1) CWP (at >= 2 time points; n = 164) compared with pain-free controls (at 3 time points; n = 172), and 2) the maximum number of pain sites reported at any 1 of the 3 time points (range of sites 0-29; n = 989). A cohort of 2,285 men for whom a DNA sample and pain data were available (including 203 CWP cases and 929 controls) was used for validation. Pairwise tagging (r(2) > 0.8) single-nucleotide... (More)
Objective. The aim of the current study was to investigate whether genetic variation in genes across the serotoninergic system is associated with chronic widespread pain (CWP) and the number of pain sites reported. Methods. A discovery cohort, with pain data at 3 time points, was used to investigate genetic associations with 2 phenotypes: 1) CWP (at >= 2 time points; n = 164) compared with pain-free controls (at 3 time points; n = 172), and 2) the maximum number of pain sites reported at any 1 of the 3 time points (range of sites 0-29; n = 989). A cohort of 2,285 men for whom a DNA sample and pain data were available (including 203 CWP cases and 929 controls) was used for validation. Pairwise tagging (r(2) > 0.8) single-nucleotide polymorphisms (SNPs) were genotyped. Logistic and zero-inflated negative binomial regression analyses were used to test for SNP associations with CWP and the number of pain sites, respectively. Results. SNPs in HTR2A were associated with both pain phenotypes in the discovery cohort, and a number of these SNP associations were replicated in the validation cohort, some of which were attenuated after adjustment for depression. There was an increased likelihood of having CWP in subjects with 1 or 2 copies of the T allele of rs12584920 (odds ratio [OR] 1.64, 95% confidence interval [95% CI] 1.01-2.60 [P = 0.03] in the discovery cohort, and OR 1.46, 95% CI 1.07-2.00 [P = 0.018] in the validation cohort). A similar association was observed between rs17289394 and the maximum number of pain sites reported in both cohorts. Results from a meta-analysis of the data from the 2 cohorts further strengthened these findings. Conclusion. The findings of this study support the role of HTR2A in the genetic predisposition to musculoskeletal pain. (Less)
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organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Arthritis and Rheumatism
volume
63
issue
3
pages
810 - 818
publisher
John Wiley & Sons Inc.
external identifiers
  • wos:000288095400035
  • scopus:79953678962
  • pmid:21305503
ISSN
1529-0131
DOI
10.1002/art.30185
language
English
LU publication?
yes
id
df1c8c72-88cd-4035-81ae-11512bbd3fbe (old id 1870124)
date added to LUP
2016-04-01 10:50:32
date last changed
2022-05-18 02:22:50
@article{df1c8c72-88cd-4035-81ae-11512bbd3fbe,
  abstract     = {{Objective. The aim of the current study was to investigate whether genetic variation in genes across the serotoninergic system is associated with chronic widespread pain (CWP) and the number of pain sites reported. Methods. A discovery cohort, with pain data at 3 time points, was used to investigate genetic associations with 2 phenotypes: 1) CWP (at >= 2 time points; n = 164) compared with pain-free controls (at 3 time points; n = 172), and 2) the maximum number of pain sites reported at any 1 of the 3 time points (range of sites 0-29; n = 989). A cohort of 2,285 men for whom a DNA sample and pain data were available (including 203 CWP cases and 929 controls) was used for validation. Pairwise tagging (r(2) > 0.8) single-nucleotide polymorphisms (SNPs) were genotyped. Logistic and zero-inflated negative binomial regression analyses were used to test for SNP associations with CWP and the number of pain sites, respectively. Results. SNPs in HTR2A were associated with both pain phenotypes in the discovery cohort, and a number of these SNP associations were replicated in the validation cohort, some of which were attenuated after adjustment for depression. There was an increased likelihood of having CWP in subjects with 1 or 2 copies of the T allele of rs12584920 (odds ratio [OR] 1.64, 95% confidence interval [95% CI] 1.01-2.60 [P = 0.03] in the discovery cohort, and OR 1.46, 95% CI 1.07-2.00 [P = 0.018] in the validation cohort). A similar association was observed between rs17289394 and the maximum number of pain sites reported in both cohorts. Results from a meta-analysis of the data from the 2 cohorts further strengthened these findings. Conclusion. The findings of this study support the role of HTR2A in the genetic predisposition to musculoskeletal pain.}},
  author       = {{Nicholl, Barbara I. and Holliday, Kate L. and Macfarlane, Gary J. and Thomson, Wendy and Davies, Kelly A. and O'Neill, Terence W. and Bartfai, Gyorgy and Boonen, Steven and Casanueva, Felipe F. and Finn, Joseph D. and Forti, Gianni and Giwercman, Aleksander and Huhtaniemi, Ilpo T. and Kula, Krzysztof and Punab, Margus and Silman, Alan J. and Vanderschueren, Dirk and Wu, Frederick C. W. and McBeth, John}},
  issn         = {{1529-0131}},
  language     = {{eng}},
  number       = {{3}},
  pages        = {{810--818}},
  publisher    = {{John Wiley & Sons Inc.}},
  series       = {{Arthritis and Rheumatism}},
  title        = {{Association of HTR2A Polymorphisms With Chronic Widespread Pain and the Extent of Musculoskeletal Pain}},
  url          = {{http://dx.doi.org/10.1002/art.30185}},
  doi          = {{10.1002/art.30185}},
  volume       = {{63}},
  year         = {{2011}},
}