Genetic variation in the hypothalamic-pituitary-adrenal stress axis influences susceptibility to musculoskeletal pain: Results from the EPIFUND study
Genetic variation in the hypothalamic-pituitary-adrenal stress axis influences susceptibility to musculoskeletal pain: Results from the EPIFUND study
Objectives: to determine if genetic variation in genes in the hypothalamic–pituitary–adrenal (HPA) axis, the primary stress response system, influences susceptibility to developing musculoskeletal pain.
Methods: pain and comorbidity data was collected at three time points in a prospective population-based cohort study. Pairwise tagging single nucleotide polymorphisms (SNPs) were selected and genotyped for seven genes. Genetic association analysis was carried out using zero-inflated negative binomial regression to test for association between SNPs and the maximum number of pain sites across the three time points in participants reporting pain, reported as proportional changes with 95% CIs. SNPs were also tested for association with chronic widespread pain (CWP) using logistic regression reporting odds ratios and 95% CI.
Results: a total of 75 SNPs were successfully genotyped in 994 participants including 164 cases with persistent CWP and 172 pain-free controls. Multiple SNPs in SERPINA6 were associated with the maximum number of pain sites; for example, each copy of the T allele of rs941601 was associated with having 16% (proportional change=1.16, 95% CI 1.04 to 1.28, p=0.006) more pain sites compared to participants with the CC genotype. SERPINA6 gene SNPs were also associated with CWP. Significant associations between the maximum number of pain sites and SNPs in the CRHBP and POMC genes were also observed and a SNP in MC2R was also associated with CWP. Associations between SNPs and comorbidity of poor sleep quality and depression explained some of the associations observed.
Conclusions: genetic variation in HPA axis genes was associated with musculoskeletal pain; however, some of the associations were explained by comorbidities. Replication of these findings is required in independent cohorts.
556-560
Holliday, Kate L.
58c01428-143a-4fc8-bd97-eb513573a697
Nicholl, Barbara I.
3922cf66-6e36-44d2-9d8b-1736123e0e53
Macfarlane, Gary J.
e17bbdb7-9d82-42ac-8a0a-09bf10885e3c
Thomson, Wendy
1e15e3f0-5128-496d-a2bd-da122d42ddfa
Davies, Kelly A.
41e38999-e5c8-4b58-9d7f-a46d8365ee8e
McBeth, John
98012716-66ba-480b-9e43-ac53b51dce61
31 August 2009
Holliday, Kate L.
58c01428-143a-4fc8-bd97-eb513573a697
Nicholl, Barbara I.
3922cf66-6e36-44d2-9d8b-1736123e0e53
Macfarlane, Gary J.
e17bbdb7-9d82-42ac-8a0a-09bf10885e3c
Thomson, Wendy
1e15e3f0-5128-496d-a2bd-da122d42ddfa
Davies, Kelly A.
41e38999-e5c8-4b58-9d7f-a46d8365ee8e
McBeth, John
98012716-66ba-480b-9e43-ac53b51dce61
Holliday, Kate L., Nicholl, Barbara I., Macfarlane, Gary J., Thomson, Wendy, Davies, Kelly A. and McBeth, John
(2009)
Genetic variation in the hypothalamic-pituitary-adrenal stress axis influences susceptibility to musculoskeletal pain: Results from the EPIFUND study.
Annals of the Rheumatic Diseases, 69 (3), .
(doi:10.1136/ard.2009.116137).
Abstract
Objectives: to determine if genetic variation in genes in the hypothalamic–pituitary–adrenal (HPA) axis, the primary stress response system, influences susceptibility to developing musculoskeletal pain.
Methods: pain and comorbidity data was collected at three time points in a prospective population-based cohort study. Pairwise tagging single nucleotide polymorphisms (SNPs) were selected and genotyped for seven genes. Genetic association analysis was carried out using zero-inflated negative binomial regression to test for association between SNPs and the maximum number of pain sites across the three time points in participants reporting pain, reported as proportional changes with 95% CIs. SNPs were also tested for association with chronic widespread pain (CWP) using logistic regression reporting odds ratios and 95% CI.
Results: a total of 75 SNPs were successfully genotyped in 994 participants including 164 cases with persistent CWP and 172 pain-free controls. Multiple SNPs in SERPINA6 were associated with the maximum number of pain sites; for example, each copy of the T allele of rs941601 was associated with having 16% (proportional change=1.16, 95% CI 1.04 to 1.28, p=0.006) more pain sites compared to participants with the CC genotype. SERPINA6 gene SNPs were also associated with CWP. Significant associations between the maximum number of pain sites and SNPs in the CRHBP and POMC genes were also observed and a SNP in MC2R was also associated with CWP. Associations between SNPs and comorbidity of poor sleep quality and depression explained some of the associations observed.
Conclusions: genetic variation in HPA axis genes was associated with musculoskeletal pain; however, some of the associations were explained by comorbidities. Replication of these findings is required in independent cohorts.
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Accepted/In Press date: 17 August 2009
Published date: 31 August 2009
Identifiers
Local EPrints ID: 491533
URI: http://eprints.soton.ac.uk/id/eprint/491533
ISSN: 0003-4967
PURE UUID: 1d8c4ee0-8ee4-4481-94c9-e77f57269d01
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Date deposited: 25 Jun 2024 17:06
Last modified: 26 Jun 2024 02:11
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Contributors
Author:
Kate L. Holliday
Author:
Barbara I. Nicholl
Author:
Gary J. Macfarlane
Author:
Wendy Thomson
Author:
Kelly A. Davies
Author:
John McBeth
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