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Capturing the well-being exposome in poly-environmental scores.

van de Weijer, M.P.; Pelt, Dirk H.M.; Baselmans, Bart M.L. (Faculteit Techniek (Ft)); Ligthart, Lannie; Huider, Floris; Hottenga, Jouke-Jan; Pool, René; Bartels, Meike

In this study we use aggregated weighted scores of environmental effects to study environmental influences on well-being and happiness. To this end, we split a sample of Netherlands Twin Register (NTR) participants into a training (N =4857) and test (N =2077) sample. In the training sample, we use elastic …

2024-02AlgemeenArtikel

Expanding the environmental scope

van de Weijer, Margot P.; Baselmans, Bart M. L. (Faculteit Techniek (Ft)); Hottenga, Jouke-Jan; Dolan, Conor V.; Willemsen, Gonneke; Bartels, Meike

Background Identifying modifiable factors associated with well-being is of increased interest for public policy guidance. Developments in record linkage make it possible to identify what contributes to well-being from a myriad of factors. To this end, we link two large-scale data resources; the Geoscience …

2022AlgemeenArtikel

Multivariate genome-wide analyses of the well-being spectrum

Baselmans, Bart M.L. (Faculteit Techniek (Ft)); Jansen, Rick; Ip, Hill F.; Abellaoui, Abdel; van de Weijer, Margot P.; Bao, Yanchun; Smart, Melissa; Kuni, Meena; Willemsen, Gonneke; Hottenga, Jouke-jan; Boomsma, Dorret I.; Nivard, Michel G.; Bartels, Meike; Dongen, Jenny van; Geus, Eco J.C. de

We introduce two novel methods for multivariate genome-wide-association meta-analysis (GWAMA) of related traits that correct for sample overlap. A broad range of simulation scenarios supports the added value of our multivariate methods relative to univariate GWAMA. We applied the novel methods to life …

2019-03-01AlgemeenArtikel

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Capturing the well-being exposome in poly-environmental scores.

Expanding the environmental scope

Multivariate genome-wide analyses of the well-being spectrum

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