Amsterdam UMC- Vrije Universiteit Amsterdam, Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, (NS, NMS, MH) Amsterdam, the Netherlands.
Amsterdam UMC- Vrije Universiteit Amsterdam, Department of Psychiatry, Amsterdam Public Health Research Institute, (YM, ATFB) Amsterdam, the Netherlands; GGZ in Geest, (YM, ATFB) Amsterdam, the Netherlands.
Am J Geriatr Psychiatry. 2020 Aug;28(8):844-855. doi: 10.1016/j.jagp.2020.02.011. Epub 2020 Mar 8.
The objectives of this study were to investigate the effect of genetic and social factors on depressive symptoms and depression over time and to test whether social factors moderate the relationship between depressive symptoms and its underlying genetics in later life.
The study included 2,279 participants with a mean follow-up of 15 years from the Longitudinal Aging Study Amsterdam with genotyping data. The personal genetic loading for depression was estimated for each participant by calculating a polygenic risk scores (PRS-D), based on 23,032 single nucleotide polymorphisms associated with major depression in a large genome-wide association study. Partner status, network size, received and given emotional support were assessed via questionnaires and depressive symptoms were assessed using the CES-D Scale. A CES-D Scale of 16 and higher was considered as clinically relevant depression.
Higher PRS-D was associated with more depressive symptoms whereas having a partner and having a larger network size were independently associated with less depressive symptoms. After extra adjustment for education, cognitive function and functional limitations, giving more emotional support was also associated with less depressive symptoms. No evidence for gene-environment interaction between PRS-D and social factors was found. Similar results were found for clinically relevant depression.
Genetic and social factors are independently associated with depressive symptoms over time in older adults. Strategies that boost social functioning should be encouraged in the general population of older adults regardless of the genetic liability for depression.
本研究旨在探讨遗传和社会因素对抑郁症状和抑郁随时间变化的影响,并检验社会因素是否能调节晚年抑郁症状及其潜在遗传学之间的关系。
该研究纳入了来自阿姆斯特丹纵向老龄化研究的 2279 名参与者,平均随访时间为 15 年,这些参与者均有基因分型数据。每位参与者的个人抑郁遗传负荷由计算基于与大型全基因组关联研究中重度抑郁症相关的 23032 个单核苷酸多态性的多基因风险评分(PRS-D)来估计。通过问卷调查评估伴侣状况、网络规模、获得和给予情感支持,使用 CES-D 量表评估抑郁症状。CES-D 量表得分为 16 及以上被认为存在临床相关抑郁。
较高的 PRS-D 与更多的抑郁症状相关,而有伴侣和更大的网络规模与较少的抑郁症状独立相关。在额外调整教育、认知功能和功能限制后,给予更多的情感支持也与较少的抑郁症状相关。未发现 PRS-D 与社会因素之间存在基因-环境相互作用的证据。对于临床相关的抑郁也得到了类似的结果。
遗传和社会因素与老年人随时间变化的抑郁症状独立相关。无论对抑郁的遗传易感性如何,应鼓励在老年人群体中促进社会功能的策略。