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Association of HTR2A polymorphisms with chronic widespread pain and the extent of musculoskeletal pain: Results from two population-based cohorts

Association of HTR2A polymorphisms with chronic widespread pain and the extent of musculoskeletal pain: Results from two population-based cohorts
Association of HTR2A polymorphisms with chronic widespread pain and the extent of musculoskeletal pain: Results from two population-based cohorts
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 (r2 > 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.
0004-3591
810-818
Nicholl, Barbara I.
3922cf66-6e36-44d2-9d8b-1736123e0e53
Holliday, Kate L.
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MacFarlane, Gary J.
e17bbdb7-9d82-42ac-8a0a-09bf10885e3c
Thomson, Wendy
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Davies, Kelly A.
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O'Neill, Terence W.
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Bartfai, György
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Boonen, Steven
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Casanueva, Felipe F.
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Finn, Joseph D.
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Forti, Gianni
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Giwercman, Aleksander
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Huhtaniemi, Ilpo T.
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Kula, Krzysztof
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Punab, Margus
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Silman, Alan J.
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Vanderschueren, Dirk
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Wu, Frederick C.W.
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McBeth, John
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the European Male Ageing Study Group
Nicholl, Barbara I.
3922cf66-6e36-44d2-9d8b-1736123e0e53
Holliday, Kate L.
58c01428-143a-4fc8-bd97-eb513573a697
MacFarlane, Gary J.
e17bbdb7-9d82-42ac-8a0a-09bf10885e3c
Thomson, Wendy
1e15e3f0-5128-496d-a2bd-da122d42ddfa
Davies, Kelly A.
13c5d91b-4b09-48a4-b9e3-aa46a4e336f9
O'Neill, Terence W.
d7396fa9-14be-42e9-80d9-4a857f77309e
Bartfai, György
fe863ca6-a92f-49a7-b381-0780b750a47c
Boonen, Steven
19c70ece-493f-4b7c-9bf9-5e4a4a887ba4
Casanueva, Felipe F.
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Finn, Joseph D.
b4c192dd-0d77-42d0-a7a3-f54e17d87ee7
Forti, Gianni
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Giwercman, Aleksander
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Huhtaniemi, Ilpo T.
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Kula, Krzysztof
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Punab, Margus
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Silman, Alan J.
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Vanderschueren, Dirk
de49cace-a8d0-4ca0-bc39-274b55506a68
Wu, Frederick C.W.
4cf4772e-7fcb-4f18-8270-7b9f5f6e748d
McBeth, John
98012716-66ba-480b-9e43-ac53b51dce61

the European Male Ageing Study Group (2011) Association of HTR2A polymorphisms with chronic widespread pain and the extent of musculoskeletal pain: Results from two population-based cohorts. Arthritis and Rheumatism, 63 (3), 810-818. (doi:10.1002/art.30185).

Record type: Article

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 (r2 > 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.

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More information

Accepted/In Press date: 30 November 2010
e-pub ahead of print date: 25 February 2011
Published date: 25 February 2011

Identifiers

Local EPrints ID: 491607
URI: http://eprints.soton.ac.uk/id/eprint/491607
ISSN: 0004-3591
PURE UUID: 2db457d7-d7c0-41f0-8ced-516477f00f61
ORCID for John McBeth: ORCID iD orcid.org/0000-0001-7047-2183

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Date deposited: 27 Jun 2024 16:59
Last modified: 28 Jun 2024 02:09

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Contributors

Author: Barbara I. Nicholl
Author: Kate L. Holliday
Author: Gary J. MacFarlane
Author: Wendy Thomson
Author: Kelly A. Davies
Author: Terence W. O'Neill
Author: György Bartfai
Author: Steven Boonen
Author: Felipe F. Casanueva
Author: Joseph D. Finn
Author: Gianni Forti
Author: Aleksander Giwercman
Author: Ilpo T. Huhtaniemi
Author: Krzysztof Kula
Author: Margus Punab
Author: Alan J. Silman
Author: Dirk Vanderschueren
Author: Frederick C.W. Wu
Author: John McBeth ORCID iD
Corporate Author: the European Male Ageing Study Group

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