Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 563519
Title Measurement and genetic architecture of lifetime depression in the Netherlands as assessed by LIDAS (Lifetime Depression Assessment Self-report)
Author(s) 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.; Loo, Hanna M. Van; Picavet, H.S.J.; Rutters, Femke; Spek, Ashley Van Der; De Wiel, Anne M. Van; Duijn, Cornelia Van; Geus, Eco J.C. De; Feskens, Edith J.M.; Hartman, Catharina A.; Oldehinkel, Albertine J.; Smit, Jan H.; Verschuren, W.M.W.; Penninx, Brenda W.J.H.; Boomsma, Dorret I.; Bot, Mariska
Source Psychological Medicine (2020). - ISSN 0033-2917
DOI https://doi.org/10.1017/S0033291720000100
Department(s) HNRU&LB
VLAG
Global Nutrition
Publication type Refereed Article in a scientific journal
Publication year 2020
Keyword(s) LIDAS - Lifetime Depression Assessment Self-report - major depressive disorder - online assessment tool - prevalence
Abstract

BackgroundMajor 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.MethodsWithin 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).ResultsEstimates 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%).ConclusionsBy 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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