Faculty of Biology, Medicine and Health, Division of Developmental Biology and Medicine, University of Manchester, Manchester, UK.
Department of Social Statistics, The Cathie Marsh Institute, University of Manchester, Manchester, UK.
Transl Psychiatry. 2023 Feb 23;13(1):68. doi: 10.1038/s41398-023-02367-9.
Depression is one of the leading causes of disability worldwide and is a major contributor to the global burden of disease among older adults. The study aimed to investigate the interplay between socio-economic markers (education and financial resources) and polygenic predisposition influencing individual differences in depressive symptoms and their change over time in older adults, which is of central relevance for preventative strategies. The sample encompassing n = 6202 adults aged ≥50 years old with a follow-up period of 14 years was utilised from the English Longitudinal Study of Ageing. Polygenic scores for depressive symptoms were calculated using summary statistics for (1) single-trait depressive symptoms (PGS-DS), and (2) multi-trait including depressive symptoms, subjective well-being, neuroticism, loneliness, and self-rated health (PGS-DS). The depressive symptoms over the past week were measured using the eight-item Centre for Epidemiologic Studies Depression Scale. One standard deviation increase in each PGS was associated with a higher baseline score in depressive symptoms. Each additional year of completed schooling was associated with lower baseline depression symptoms (β = -0.06, 95%CI = -0.07 to -0.05, p < 0.001); intermediate and lower wealth were associated with a higher baseline score in depressive symptoms. Although there was a weak interaction effect between PGS-DSs and socio-economic status in association with the baseline depressive symptoms, there were no significant relationships of PGS-DSs, socio-economic factors, and rate of change in the depressive symptoms during the 14-year follow-up period. Common genetic variants for depressive symptoms are associated with a greater number of depressive symptoms onset but not with their rate of change in the following 14 years. Lower socio-economic status is an important factor influencing individual levels of depressive symptoms, independently from polygenic predisposition to depressive symptoms.
抑郁症是全球导致残疾的主要原因之一，也是导致老年人疾病负担的主要因素。本研究旨在探讨社会经济标志物（教育和经济资源）与多基因易感性之间的相互作用，这些标志物影响着老年人抑郁症状的个体差异及其随时间的变化，这对于预防策略至关重要。该研究使用了英国老龄化纵向研究中 n = 6202 名年龄在 50 岁及以上的成年人的样本，随访时间为 14 年。使用（1）单一特质抑郁症状（PGS-DS）和（2）多特质包括抑郁症状、主观幸福感、神经质、孤独感和自我评估健康的汇总统计数据计算了抑郁症状的多基因评分（PGS-DS）。过去一周的抑郁症状使用 8 项中心流行病学研究抑郁量表进行测量。PGS 每增加一个标准差与抑郁症状的基线评分较高相关。每增加一年完成学业与较低的基线抑郁症状相关（β=-0.06，95%CI=-0.07 至-0.05，p<0.001）；中等和较低的财富与较高的基线抑郁症状评分相关。尽管 PGS-DS 和社会经济地位之间存在与基线抑郁症状相关的弱交互作用，但在 14 年的随访期间，PGS-DS、社会经济因素与抑郁症状变化率之间没有显著关系。与抑郁症状相关的常见遗传变异与更多的抑郁症状发作相关，但与随后 14 年的变化率无关。较低的社会经济地位是影响个体抑郁症状水平的重要因素，独立于抑郁症状的多基因易感性。
