Metabolomics profiling of Type D Personality traits

Autor: Kupper, Nina, Li, Ruifang, Bot, Mariska, Kurilshikov, Alexander, Willemsen, Gonneke, van Greevenbroek, Marleen J., Schram, Miranda, Stehouwer, Coen, Fu, Jingyuan, Zhernakova, Alexandra, Penninx, Brenda W., de Geus, Eco, Boomsma, Dorret

Publikováno v: Psychosomatic Medicine, 84(5):1476, A111-A111. Lippincott Williams and Wilkins

Background: Type D (Distressed) personality combines negative affectivity (NA) and social inhibition (SI) and is associated with an increased risk of cardiometabolic diseases. Here, over 230 metabolites or metabolite ratios, predominantly lipids, wer

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::65e8b86f6bedf1aa42a50bf309e3c7d2
https://research.tilburguniversity.edu/en/publications/78b45de5-86ec-4c10-bc03-b1191200a753

A linear mixed-model approach to study multivariate gene–environment interactions

Autor: 't Hoen, P.A., van Meurs, Joyce B J, Isaacs, Aaron, Jansen, Rick, Franke, Lude, Boomsma, D.I., Pool, R., van Dongen, J., Hottenga, J.J., Van Greevenbroek, Marleen J., Stehouwer, Coen D A, van der Kallen, Carla J H, Schalkwijk, Casper G, Wijmenga, Cisca, Zhernakova, Alexandra, Tigchelaar, Ettje F, Slagboom, P. Eline, Beekman, Marian, Deelen, Joris, van Heemst, Diana, Veldink, Jan H, van den Berg, Leonard H, van Duijn, Cornelia M, Hofman, Bert A., Uitterlinden, Andre G, Jhamai, P Mila, Verbiest, Michael, Suchiman, H. Eka D., Verkerk, Marijn, van der Breggen, Ruud, van Rooij, Jeroen, Lakenberg, Nico, Mei, Hailiang, van Iterson, Maarten, van Galen, Michiel, Bot, Jan, van’t Hof, Peter, Deelen, Patrick, Nooren, Irene, Moed, Matthijs, Vermaat, Martijn, Zhernakova, Dasha V., Luijk, René, Jan Bonder, Marc, van Dijk, Freerk, Arindrarto, Wibowo, Kielbasa, P. Szymon M., Swertz, Morris a., van Zwet, Erik W

Publikováno v: Moore, R, Casale, F P, Jan Bonder, M, Horta, D, Franke, L, Barroso, I, Stegle, O & BIOS Consortium 2019, ' A linear mixed-model approach to study multivariate gene–environment interactions ', Nature Genetics, vol. 51, no. 1, pp. 180-186 . https://doi.org/10.1038/s41588-018-0271-0
Nature Genetics, 51(1), 180-186. Nature Publishing Group
't Hoen, P A, van Meurs, J B J, Isaacs, A, Jansen, R, Franke, L, Boomsma, D I, Pool, R, van Dongen, J, Hottenga, J J, Van Greevenbroek, M J, Stehouwer, C D A, van der Kallen, C J H, Schalkwijk, C G, Wijmenga, C, Zhernakova, A, Tigchelaar, E F, Slagboom, P E, Beekman, M, Deelen, J, van Heemst, D, Veldink, J H, van den Berg, L H, van Duijn, C M, Hofman, B A, Uitterlinden, A G, Jhamai, P M, Verbiest, M, Suchiman, H E D, Verkerk, M, van der Breggen, R, van Rooij, J, Lakenberg, N, Mei, H, van Iterson, M, van Galen, M, Bot, J, van’t Hof, P, Deelen, P, Nooren, I, Moed, M, Vermaat, M, Zhernakova, D V, Luijk, R, Jan Bonder, M, van Dijk, F, Arindrarto, W, Kielbasa, P S M, Swertz, M A, van Zwet, E W & BIOS Consortium 2019, ' A linear mixed-model approach to study multivariate gene-environment interactions ', Nature Genetics, vol. 51, no. 1, pp. 180-186 . https://doi.org/10.1038/s41588-018-0271-0

Different environmental factors, including diet, physical activity, or external conditions can contribute to genotype-environment interactions (GxE). Although high-dimensional environmental data are increasingly available, and multiple environments h

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::329339e0424884e7221abf5b507b437e
https://research.vumc.nl/en/publications/bc3d6aef-b18e-4156-b939-0c5e6c101469

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.