Department of Psychology, University of Oslo, Oslo, Norway.
Norwegian Institute of Public Health, Oslo, Norway.
PLoS One. 2018 Jun 7;13(6):e0198594. doi: 10.1371/journal.pone.0198594. eCollection 2018.
The nature of the relationship between fatigue and its risk factors is poorly understood. In the present study the genetic and environmental association between anxiety-depression, musculoskeletal (MS) pain and fatigue was examined, and the role of neuroticism as a shared risk factor that may possibly explain the co-occurrence between these phenotypes was investigated in a combined cross-sectional and longitudinal twin design.
The sample consisted of 746 monozygotic (MZ) and 770 dizygotic (DZ) twins in the age group of 50-65 (mean = 57.11 years, SD = 4.5). Continuous measures of fatigue symptoms and the other phenotypes were employed. Using Cholesky modeling, genetic and environmental influences on the phenotypes, and the associations among them, were determined. Analyses were performed using measures of neuroticism obtained concurrently and 13-19 years earlier.
Results from multiple regression analyses showed that neuroticism, anxiety-depression symptoms, and MS pain were all significantly associated with fatigue, controlling for sex, education, and general health indices. The best-fitting biometric models included additive genetic and individual-specific environmental effects. Heritabilities in the 0.40-0.53 range were demonstrated. Furthermore, while there was a considerable overlap in genetic risk factors between the four phenotypes, a substantial proportion of the genetic risk shared between anxiety-depression and fatigue, and between MS pain and fatigue, was independent of neuroticism.
Evidence for a common underlying susceptibility to report fatigue symptoms, genetically linked to neuroticism, anxiety-depression, and MS pain, was found. Both unique and pleiotropic effects appear to be involved in the genetic architecture of the phenotypes.
疲劳与其风险因素之间的关系性质尚不清楚。在本研究中,检查了焦虑-抑郁、肌肉骨骼 (MS) 疼痛和疲劳之间的遗传和环境关联,并在横断面和纵向双胞胎设计中研究了神经质作为可能解释这些表型同时发生的共同风险因素的作用。
该样本包括 746 对同卵 (MZ) 和 770 对异卵 (DZ) 双胞胎,年龄在 50-65 岁之间(平均=57.11 岁,SD=4.5)。采用连续测量疲劳症状和其他表型。使用 Cholesky 建模,确定了表型的遗传和环境影响以及它们之间的关联。使用同时获得的和 13-19 年前获得的神经质测量值进行分析。
多元回归分析的结果表明,神经质、焦虑-抑郁症状和 MS 疼痛均与疲劳显著相关,控制了性别、教育和一般健康指数。最佳拟合的生物计量模型包括加性遗传和个体特定环境效应。遗传率在 0.40-0.53 范围内。此外,虽然四个表型之间存在相当大的遗传风险因素重叠,但焦虑-抑郁和疲劳之间以及 MS 疼痛和疲劳之间的遗传风险的相当大比例与神经质无关。
发现报告疲劳症状存在共同的潜在易感性,与神经质、焦虑-抑郁和 MS 疼痛遗传相关。独特和多效性效应似乎都参与了表型的遗传结构。