Fedko Iryna O, Hottenga Jouke-Jan, Helmer Quinta, Mbarek Hamdi, Huider Floris, Amin Najaf, Beulens Joline W, Bremmer Marijke A, Elders Petra J, Galesloot Tessel E, Kiemeney Lambertus A, van Loo Hanna M, Picavet H Susan J, Rutters Femke, van der Spek Ashley, van de Wiel Anne M, van Duijn Cornelia, de Geus Eco J C, Feskens Edith J M, Hartman Catharina A, Oldehinkel Albertine J, Smit Jan H, Verschuren W M Monique, Penninx Brenda W J H, Boomsma Dorret I, Bot Mariska
Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands.
Psychol Med. 2020 Feb 27;51(8):1-10. doi: 10.1017/S0033291720000100.
Major depressive disorder (MDD) is a common mood disorder, with a heritability of around 34%. Molecular genetic studies made significant progress and identified genetic markers associated with the risk of MDD; however, progress is slowed down by substantial heterogeneity as MDD is assessed differently across international cohorts. Here, we used a standardized online approach to measure MDD in multiple cohorts in the Netherlands and evaluated whether this approach can be used in epidemiological and genetic association studies of depression.
Within the Biobank Netherlands Internet Collaboration (BIONIC) project, we collected MDD data in eight cohorts involving 31 936 participants, using the online Lifetime Depression Assessment Self-report (LIDAS), and estimated the prevalence of current and lifetime MDD in 22 623 unrelated individuals. In a large Netherlands Twin Register (NTR) twin-family dataset (n ≈ 18 000), we estimated the heritability of MDD, and the prediction of MDD in a subset (n = 4782) through Polygenic Risk Score (PRS).
Estimates of current and lifetime MDD prevalence were 6.7% and 18.1%, respectively, in line with population estimates based on validated psychiatric interviews. In the NTR heritability estimates were 0.34/0.30 (s.e. = 0.02/0.02) for current/lifetime MDD, respectively, showing that the LIDAS gives similar heritability rates for MDD as reported in the literature. The PRS predicted risk of MDD (OR 1.23, 95% CI 1.15-1.32, R2 = 1.47%).
By assessing MDD status in the Netherlands using the LIDAS instrument, we were able to confirm previously reported MDD prevalence and heritability estimates, which suggests that this instrument can be used in epidemiological and genetic association studies of depression.
重度抑郁症（MDD）是一种常见的情绪障碍，遗传率约为34%。分子遗传学研究取得了重大进展，并确定了与MDD风险相关的遗传标记；然而，由于国际队列中对MDD的评估方式存在很大差异，进展有所放缓。在此，我们采用标准化的在线方法对荷兰多个队列中的MDD进行测量，并评估该方法是否可用于抑郁症的流行病学和遗传关联研究。
在荷兰生物样本库互联网协作（BIONIC）项目中，我们使用在线终生抑郁评估自我报告（LIDAS），在涉及31936名参与者的8个队列中收集MDD数据，并估计了22623名无亲属关系个体中当前和终生MDD的患病率。在一个大型荷兰双胞胎登记（NTR）双胞胎家庭数据集（n≈18000）中，我们估计了MDD的遗传率，并通过多基因风险评分（PRS）对一个子集（n = 4782）中的MDD进行预测。
当前和终生MDD患病率估计分别为6.7%和18.1%，与基于经验证的精神病学访谈得出的人群估计值一致。在NTR中，当前/终生MDD的遗传率估计分别为0.34/0.30（标准误= 0.02/0.02），表明LIDAS得出的MDD遗传率与文献报道相似。PRS预测了MDD风险（比值比1.23，95%置信区间1.15 - 1.32，R2 = 1.47%）。
通过使用LIDAS工具评估荷兰的MDD状态，我们能够证实先前报道的MDD患病率和遗传率估计值，这表明该工具可用于抑郁症的流行病学和遗传关联研究。
