Institute of Health and Wellbeing, University of Glasgow, Scotland, United Kingdom.
Deanery of Molecular, Genetic and Population Health Sciences, College of Medicine and Veterinary Medicine, University of Edinburgh, Scotland, United Kingdom.
PLoS Genet. 2019 Jun 13;15(6):e1008164. doi: 10.1371/journal.pgen.1008164. eCollection 2019 Jun.
Chronic pain is highly prevalent worldwide and represents a significant socioeconomic and public health burden. Several aspects of chronic pain, for example back pain and a severity-related phenotype 'chronic pain grade', have been shown previously to be complex heritable traits with a polygenic component. Additional pain-related phenotypes capturing aspects of an individual's overall sensitivity to experiencing and reporting chronic pain have also been suggested as a focus for investigation. We made use of a measure of the number of sites of chronic pain in individuals within the UK general population. This measure, termed Multisite Chronic Pain (MCP), is a complex trait and its genetic architecture has not previously been investigated. To address this, we carried out a large-scale genome-wide association study (GWAS) of MCP in ~380,000 UK Biobank participants. Our findings were consistent with MCP having a significant polygenic component, with a Single Nucleotide Polymorphism (SNP) heritability of 10.2%. In total 76 independent lead SNPs at 39 risk loci were associated with MCP. Additional gene-level association analyses identified neurogenesis, synaptic plasticity, nervous system development, cell-cycle progression and apoptosis genes as enriched for genetic association with MCP. Genetic correlations were observed between MCP and a range of psychiatric, autoimmune and anthropometric traits, including major depressive disorder (MDD), asthma and Body Mass Index (BMI). Furthermore, in Mendelian randomisation (MR) analyses a causal effect of MCP on MDD was observed. Additionally, a polygenic risk score (PRS) for MCP was found to significantly predict chronic widespread pain (pain all over the body), indicating the existence of genetic variants contributing to both of these pain phenotypes. Overall, our findings support the proposition that chronic pain involves a strong nervous system component with implications for our understanding of the physiology of chronic pain. These discoveries may also inform the future development of novel treatment approaches.
慢性疼痛在全球范围内普遍存在,是一个重大的社会经济和公共卫生负担。以前已经证明,慢性疼痛的几个方面,例如背痛和与严重程度相关的表型“慢性疼痛等级”,是具有多基因成分的复杂遗传特征。此外,还提出了一些与个体对经历和报告慢性疼痛的整体敏感性相关的其他疼痛相关表型,作为研究的重点。我们利用了英国普通人群中个体慢性疼痛部位数量的测量值。该测量值称为多部位慢性疼痛(MCP),是一种复杂的特征,其遗传结构以前尚未被研究过。为了解决这个问题,我们对 MCP 在约 380,000 名英国生物库参与者中的大规模全基因组关联研究(GWAS)进行了研究。我们的发现与 MCP 具有显著的多基因成分一致,单核苷酸多态性(SNP)遗传率为 10.2%。总共在 39 个风险位点上有 76 个独立的先导 SNP 与 MCP 相关。额外的基因水平关联分析确定神经发生、突触可塑性、神经系统发育、细胞周期进展和细胞凋亡基因与 MCP 的遗传关联富集。观察到 MCP 与一系列精神疾病、自身免疫和人体测量特征之间存在遗传相关性,包括重度抑郁症(MDD)、哮喘和体重指数(BMI)。此外,在孟德尔随机化(MR)分析中观察到 MCP 对 MDD 的因果效应。此外,还发现 MCP 的多基因风险评分(PRS)可显著预测慢性广泛性疼痛(全身疼痛),表明存在导致这两种疼痛表型的遗传变异。总体而言,我们的研究结果支持这样一种观点,即慢性疼痛涉及到一个强大的神经系统成分,这对我们理解慢性疼痛的生理学具有重要意义。这些发现也可能为新型治疗方法的未来发展提供信息。