@article {441, title = {Measurement and genetic architecture of lifetime depression in the Netherlands as assessed by LIDAS (Lifetime Depression Assessment Self-report)}, journal = {Psychological Medicine}, volume = {51}, year = {2020}, pages = {1{\textendash}10}, abstract = {

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 $\approx$ 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 1.15-1.3

}, keywords = {LIDAS, Lifetime Depression Assessment Self-report, major depressive disorder, online assessment tool, prevalence}, doi = {10.1017/S0033291720000100}, author = {Fedko, Iryna O and Hottenga, Jouke-Jan and Helmer, Quinta and Mbarek, Hamdi and Huider, Floris and Amin, Najaf and Beulens, Joline W and Bremmer, Marijke A and Elders, Petra J and Galesloot, Tessel E and Kiemeney, Lambertus A and van Loo, Hanna M and Picavet, H Susan J and Rutters, Femke and van der Spek, Ashley and van de Wiel, Anne M and van Duijn, Cornelia and de Geus, Eco J C and Feskens, Edith J M and Hartman, Catharina A and Oldehinkel, Albertine J and Smit, Jan H and Verschuren, W M Monique and Penninx, Brenda W J H and Boomsma, Dorret I and Bot, Mariska} } @article {414, title = {The Netherlands Twin Register: Longitudinal research based on twin and twin-family designs}, journal = {Twin Research and Human Genetics}, volume = {22}, year = {2019}, pages = {623{\textendash}636}, abstract = {

The Netherlands Twin Register (NTR) is a national register in which twins, multiples and their parents, siblings, spouses and other family members participate. Here we describe the NTR resources that were created from more than 30 years of data collections; the development and maintenance of the newly developed database systems, and the possibilities these resources create for future research. Since the early 1980s, the NTR has enrolled around 120,000 twins and a roughly equal number of their relatives. The majority of twin families have participated in survey studies, and subsamples took part in biomaterial collection (e.g., DNA) and dedicated projects, for example, for neuropsychological, biomarker and behavioral traits. The recruitment into the NTR is all inclusive without any restrictions on enrollment. These resources - the longitudinal phenotyping, the extended pedigree structures and the multigeneration genotyping - allow for future twin-family research that will contribute to gene discovery, causality modeling, and studies of genetic and cultural inheritance.

}, keywords = {biobank, endophenotyping, longitudinal phenotyping, multigeneration pedigree, twins, zygosity}, doi = {10.1017/thg.2019.93}, author = {Ligthart, Lannie and van Beijsterveldt, Catharina E M and Kevenaar, Sofieke T and de Zeeuw, Eveline and van Bergen, Elsje and Bruins, Susanne and Pool, Ren{\'e} and Helmer, Quinta and van Dongen, Jenny and Hottenga, Jouke-Jan and Van{\textquoteright}t Ent, Dennis and Dolan, Conor V and Davies, Gareth E and Ehli, Erik A and Bartels, Meike and Willemsen, Gonneke and de Geus, Eco J C and Boomsma, Dorret I} } @article {128, title = {Genetic and environmental influences interact with age and sex in shaping the human methylome}, journal = {Nat Commun}, volume = {7}, year = {2016}, month = {2016/04/07}, abstract = {

The methylome is subject to genetic and environmental effects. Their impact may depend on sex and age, resulting in sex- and age-related physiological variation and disease susceptibility. Here we estimate the total heritability of DNA methylation levels in whole blood and estimate the variance explained by common single nucleotide polymorphisms at 411,169 sites in 2,603 individuals from twin families, to establish a catalogue of between-individual variation in DNA methylation. Heritability estimates vary across the genome (mean=19\%) and interaction analyses reveal thousands of sites with sex-specific heritability as well as sites where the environmental variance increases with age. Integration with previously published data illustrates the impact of genome and environment across the lifespan at methylation sites associated with metabolic traits, smoking and ageing. These findings demonstrate that our catalogue holds valuable information on locations in the genome where methylation variation between people may reflect disease-relevant environmental exposures or genetic variation.

}, url = {http://dx.doi.org/10.1038/ncomms11115}, author = {Jenny van Dongen and Michel G. Nivard and Gonneke Willemsen and Hottenga, Jouke-Jan and Helmer, Quinta and Conor V Dolan and Ehli, Erik A. and Gareth E Davies and van Iterson, Maarten and Breeze, Charles E. and Beck, Stephan and BIOS Consortium and Suchiman, H. Eka and Jansen, Rick and Joyce B.J. Van Meurs and Bastiaan T. Heijmans and Slagboom, P. Eline and Dorret I. Boomsma} }