Center of Life Sciences, Skolkovo Institute of Science and Technology, 30 bld.1 Bolshoy Boulevard, Moscow 121205, Russia.
Laboratory of Recombination and Segregation Analysis, Institute of Cytology and Genetics, 10 Lavrentiev Ave, Novosibirsk, 630090, Russia; Laboratory of Theoretical and Applied Functional Genomics, Novosibirsk State University, 1 Pirogova St, Novosibirsk, 630090, Russia; Kurchatov genomics center of the Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, 10 Lavrentiev Ave, Novosibirsk, 630090, Russia.
Spine J. 2023 Aug;23(8):1108-1114. doi: 10.1016/j.spinee.2023.04.009. Epub 2023 Apr 18.
Chronic back pain (CBP) is a common debilitating condition with substantial societal impact. While understanding genotype-by-environment (GxE) interactions may be crucial to achieving the goals of personalized medicine, there are few large-scale studies investigating this topic for CBP. None of them systematically explore multiple CBP risk factors.
To estimate the extent to which genetic effects on CBP are modified by known demographic and clinical risk factors.
Case-control study, genome-wide GxE interaction study.
Data on up to 331,610 unrelated participants (57,881 CBP cases and 273,729 controls) from the UK Biobank cohort were used. UK Biobank is a prospective cohort with collected deep genetic and phenotypic data on approximately 500,000 individuals across the UK.
Self-reported chronic back pain.
We applied a whole-genome approach to estimate the proportion of phenotypic variance explained by interactions between genotype and 12 known risk factors. We also analyzed if effects of common single-nucleotide polymorphisms on CBP are changed in presence of known risk factors.
The results indicate a modest, if any, modification of genetic effects by examined risk factors in CBP. Our estimates suggest that detecting such weak effects would require a sample size of millions of individuals.
The GxE interactions with examined common risk factors for CBP are either weak or absent. Interactions of such magnitude are unlikely to have the potential to inform and influence treatment strategies. Risk estimation models may use common genetic variation and the considered risk factors as independent predictors, without accounting for GxE.
慢性腰痛(CBP)是一种常见的使人虚弱的病症,对社会有重大影响。尽管了解基因型-环境(GxE)相互作用对于实现个性化医疗的目标可能至关重要,但针对 CBP 进行此类研究的大规模研究很少。其中没有一项研究系统地探讨了多种 CBP 风险因素。
估计遗传对 CBP 的影响受已知人口统计学和临床风险因素影响的程度。
病例对照研究,全基因组 GxE 相互作用研究。
使用了来自英国生物库队列的多达 331610 名无亲缘关系的参与者(57881 例 CBP 病例和 273729 例对照)的数据。英国生物库是一个前瞻性队列,在英国各地收集了约 50 万人的深度遗传和表型数据。
自我报告的慢性腰痛。
我们应用全基因组方法来估计基因型与 12 个已知风险因素之间相互作用所解释的表型变异比例。我们还分析了常见单核苷酸多态性对 CBP 的影响是否因已知风险因素而改变。
结果表明,在所检查的 CBP 常见风险因素中,遗传效应的修饰是适度的(如果有的话)。我们的估计表明,检测到这种微弱的影响需要数百万个体的样本量。
所检查的 CBP 常见风险因素与 GxE 的相互作用较弱或不存在。这种程度的相互作用不太可能具有提供信息和影响治疗策略的潜力。风险估计模型可以将常见的遗传变异和考虑的风险因素作为独立的预测因子,而无需考虑 GxE。