| Title: | Sex- and age-specific genetic analysis of chronic back pain. |
| Journal: | Pain |
| Published: | 30 Sep 2020 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/33021770/ |
| DOI: | https://doi.org/10.1097/j.pain.0000000000002100 |
| URL: | https://cran.r-project.org/web/packages/epiDisplay/epiDisplay.pdf |
| Citations: | 23 (10 in last 2 years) as of 8 Aug 2024 |
Publication 9238
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Abstract
ABSTRACT: Sex differences for chronic back pain (cBP) have been reported, with females usually exhibiting greater morbidity, severity, and poorer response to treatment. Genetic factors acting in an age-specific manner have been implicated but never comprehensively explored. We performed sex- and age-stratified genome-wide association study and single nucleotide polymorphism-by-sex interaction analysis for cBP defined as "Back pain for 3+ months" in 202,077 males and 237,754 females of European ancestry from UK Biobank. Two and 7 nonoverlapping genome-wide significant loci were identified for males and females, respectively. A male-specific locus on chromosome 10 near SPOCK2 gene was replicated in 4 independent cohorts. Four loci demonstrated single nucleotide polymorphism-by-sex interaction, although none of them were formally replicated. Single nucleotide polymorphism-explained heritability was higher in females (0.079 vs 0.067, P = 0.006). There was a high, although not complete, genetic correlation between the sexes (r = 0.838 ± 0.041, different from 1 with P = 7.8E-05). Genetic correlation between the sexes for cBP decreased with age (0.858 ± 0.049 in younger people vs 0.544 ± 0.157 in older people; P = 4.3E-05). There was a stronger genetic correlation of cBP with self-reported diagnosis of intervertebral disk degeneration in males than in females (0.889 vs 0.638; P = 3.7E-06). Thus, the genetic component of cBP in the UK Biobank exhibits a mild sex- and age-dependency. This provides an insight into the possible causes of sex- and age-specificity in epidemiology and pathophysiology of cBP and chronic pain at other anatomical sites.</p>
13 Keywords
- Age Factors
- Aged
- Aged, 80 and over
- Back Pain
- Female
- Genetic Loci
- Genetic Predisposition to Disease
- Genome-Wide Association Study
- Humans
- Infant
- Male
- Polymorphism, Single Nucleotide
- Proteoglycans
17 Authors
- Maxim B Freidin
- Yakov A Tsepilov
- Ian B Stanaway
- Weihua Meng
- Caroline Hayward
- Blair H Smith
- Samar Khoury
- Marc Parisien
- Andrey Bortsov
- Luda Diatchenko
- Sigrid Børte
- Bendik S Winsvold
- Ben M Brumpton
- John-Anker Zwart
- Yurii S Aulchenko
- Pradeep Suri
- Frances M K Williams
1 Application
| Application ID | Title |
|---|---|
| 18219 | Genetic and epidemiological analyses of low back pain |
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