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  • Measurement and genetic architecture of lifetime depression in the Netherlands as assessed by LIDAS (Lifetime Depression Assessment Self-report)

  • Iryna O. Fedko, Jouke-Jan Hottenga, Quinta Helmer, Hamdi Mbarek, Floris Huider, Najaf Amin, Joline W. Beulens, Marijke A. Bremmer, Petra J. Elders, Tessel E. Galesloot, Lambertus A. Kiemeney, Hanna M. van Loo, H. Susan J. Picavet, Femke Rutters, Ashley van der Spek, Anne M. van de Wiel, Cornelia van Duijn, Eco J. C. de Geus, Edith J. M. Feskens, Catharina A. Hartman, Albertine J. Oldehinkel, Jan H. Smit, W. M. Monique Verschuren, Brenda W. J. H. Penninx, Dorret I. Boomsma, Mariska Bot
  • Journal:
    Psychological Medicine / Volume 51 / Issue 8 / June 2021
    Published online by Cambridge University Press:
    27 February 2020, pp. 1345-1354
    Print publication:
    June 2021
    • Article
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  • Background

    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.

    Methods

    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).

    Results

    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%).

    Conclusions

    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.

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