Scientific publications 2018

Below you will find an overview of BBMRI-NL Scientific publications in peer reviewed journals. We have only listed items that contain BBMRI-NL or the grant number in the affiliation, funding and/or acknowledgement section of the article. Items are listed per year in alphabetical order.

  • Auwera van der, S., Peyrot, W.J., Milaneschi, Y., Hertel, J., Baune, B., Breen, G., Byrne, E., Dunn, E.C., Fisher, H., Homuth, G., et al. (2018). Genome-wide gene-environment interaction in depression: A systematic evaluation of candidate genes: The childhood trauma working-group of PGC-MDD. American Journal of Medical Genetics Part B-Neuropsychiatric Genetics 177, 40-49.
  • Boeckhout, M., Scheltens, P., Manders, P., Smit, C., Bredenoord, A.L., and Zielhuis, G.A. (2018). Patients to learn from: on the need for systematic integration of research and care in academic health care. J Clin Transl Res 3, 401-406.
  • Brouwer-Brolsma, E.M., Berendsen, A.A.M., Sluik, D., van de Wiel, A.M., Raben, A., de Vries, J.H.M., Brand-Miller, J., and Feskens, E.J.M. (2018). The Glycaemic Index-Food-Frequency Questionnaire: Development and Validation of a Food Frequency Questionnaire Designed to Estimate the Dietary Intake of Glycaemic Index and Glycaemic Load: An Effort by the PREVIEW Consortium. Nutrients 11.
  • Chaker, L., Cremers, L.G.M., Korevaar, T.I.M., de Groot, M., Dehghan, A., Franco, O.H., Niessen, W.J., Ikram, M.A., Peeters, R.P., and Vernooij, M.W. (2018). Age-dependent association of thyroid function with brain morphology and microstructural organization: evidence from brain imaging. Neurobiol Aging 61, 44-51.
  • Culverhouse, R.C., Saccone, N.L., Horton, A.C., Ma, Y., Anstey, K.J., Banaschewski, T., Burmeister, M., Cohen-Woods, S., Etain, B., Fisher, H.L., et al. (2018). Collaborative meta-analysis finds no evidence of a strong interaction between stress and 5-HTTLPR genotype contributing to the development of depression. Molecular Psychiatry 23, 133-142.
  • Gudmundsdottir, V., Pedersen, H.K., Allebrandt, K.V., Brorsson, C., van Leeuwen, N., Banasik, K., Mahajan, A., Groves, C.J., van de Bunt, M., Dawed, A.Y., et al. (2018). Integrative network analysis highlights biological processes underlying GLP-1 stimulated insulin secretion: A DIRECT study. PLoS One 13, e0189886.
  • Holub, P., Kohlmayer, F., Prasser, F., Mayrhofer, M.T., Schlunder, I., Martin, G.M., Casati, S., Koumakis, L., Wutte, A., Kozera, L., et al. (2018). Enhancing Reuse of Data and Biological Material in Medical Research: From FAIR to FAIR-Health. Biopreserv Biobank.
  • Jiang, X., O'Reilly, P.F., Aschard, H., Hsu, Y.H., Richards, J.B., Dupuis, J., Ingelsson, E., Karasik, D., Pilz, S., Berry, D., et al. (2018). Genome-wide association study in 79,366 European-ancestry individuals informs the genetic architecture of 25-hydroxyvitamin D levels. Nature Communications 9, 260.
  • Lee van der, S.J., Teunissen, C.E., Pool, R., Shipley, M.J., Teumer, A., Chouraki, V., Melo van Lent, D., Tynkkynen, J., Fischer, K., Hernesniemi, J., et al. (2018). Circulating metabolites and general cognitive ability and dementia: Evidence from 11 cohort studies. Alzheimer's & Dementia Epub ahead of print.
  • Lubke, G.H., McArtor, D.B., Boomsma, D.I., and Bartels, M. (2018). Genetic and environmental contributions to the development of childhood aggression. Dev Psychol 54, 39-50.
  • Luijk, R., Dekkers, K.F., van Iterson, M., Arindrarto, W., Claringbould, A., Hop, P., Boomsma, D.I., van Duijn, C.M., van Greevenbroek, M.M.J., Veldink, J.H., et al. (2018a). Genome-wide identification of directed gene networks using large-scale population genomics data. Nat Commun 9, 3097.
  • Luijk, R., Wu, H., Ward-Caviness, C.K., Hannon, E., Carnero-Montoro, E., Min, J.L., Mandaviya, P., Muller-Nurasyid, M., Mei, H., van der Maarel, S.M., et al. (2018b). Autosomal genetic variation is associated with DNA methylation in regions variably escaping X-chromosome inactivation. Nat Commun 9, 3738.
  • Mies, G.W., Verweij, K.J.H., Treur, J.L., Ligthart, L., Fedko, I.O., Hottenga, J.J., Willemsen, G., Bartels, M., Boomsma, D.I., and Vink, J.M. (2018). Polygenic risk for alcohol consumption and its association with alcohol-related phenotypes: Do stress and life satisfaction moderate these relationships? Drug and Alcohol Dependence 183, 7-12.
  • Molnos, S., Wahl, S., Haid, M., Eekhoff, E.M.W., Pool, R., Floegel, A., Deelen, J., Much, D., Prehn, C., Breier, M., et al. (2018). Metabolite ratios as potential biomarkers for type 2 diabetes: a DIRECT study. Diabetologia 61, 117-129.
  • Oerlemans, A.M., Rommelse, N.N.J., Buitelaar, J.K., and Hartman, C.A. (2018). Examining the intertwined development of prosocial skills and ASD symptoms in adolescence. Eur Child Adolesc Psychiatry 27, 1033-1046.
  • Parmar, P., Lowry, E., Cugliari, G., Suderman, M., Wilson, R., Karhunen, V., Andrew, T., Wiklund, P., Wielscher, M., Guarrera, S., et al. (2018). Association of maternal prenatal smoking GFI1-locus and cardio-metabolic phenotypes in 18,212 adults. EBioMedicine 38, 206-216.
  • Reese, S.E., Xu, C.J., den Dekker, H.T., Lee, M.K., Sikdar, S., Ruiz-Arenas, C., Merid, S.K., Rezwan, F.I., Page, C.M., Ullemar, V., et al. (2018). Epigenome-wide meta-analysis of DNA methylation and childhood asthma. J Allergy Clin Immunol.
  • Slieker, R.C., van der Heijden, A., van Leeuwen, N., Mei, H.L., Nijpels, G., Beulens, J.W.J., and t Hart, L.M. (2018). HbA(1c) is associated with altered expression in blood of cell cycle- and immune response-related genes. Diabetologia 61, 138-146.
  • Stathopoulou, M.G., Xie, T., Ruggiero, D., Chatelin, J., Rancier, M., Weryha, G., Kurth, M.J., Aldasoro Arguinano, A.A., Gorenjak, V., Petrelis, A.M., et al. (2018). A transnational collaborative network dedicated to the study and applications of the vascular endothelial growth factor-A in medical practice: the VEGF Consortium. Clin Chem Lab Med 56, 83-86.
  • Thesing, C.S., Bot, M., Milaneschi, Y., Giltay, E.J., and Penninx, B. (2018). Omega-3 and omega-6 fatty acid levels in depressive and anxiety disorders. Psychoneuroendocrinology 87, 53-62.
  • Tobi, E.W., Slieker, R.C., Luijk, R., Dekkers, K.F., Stein, A.D., Xu, K.M., Biobank-based Integrative Omics Studies, C., Slagboom, P.E., van Zwet, E.W., Lumey, L.H., et al. (2018). DNA methylation as a mediator of the association between prenatal adversity and risk factors for metabolic disease in adulthood. Sci Adv 4, eaao4364.
  • van der Plaat, D.A., de Jong, K., de Vries, M., van Diemen, C.C., Nedeljkovic, I., Amin, N., Kromhout, H., Biobank-based Integrative Omics Study, C., Vermeulen, R., Postma, D.S., et al. (2018). Occupational exposure to pesticides is associated with differential DNA methylation. Occup Environ Med 75, 427-435.
  • van der Wijst, M.G.P., Brugge, H., de Vries, D.H., Deelen, P., Swertz, M.A., LifeLines Cohort, S., Consortium, B., and Franke, L. (2018). Single-cell RNA sequencing identifies celltype-specific cis-eQTLs and co-expression QTLs. Nat Genet 50, 493-497.
  • van Dongen, J., Bonder, M.J., Dekkers, K.F., Nivard, M.G., van Iterson, M., Willemsen, G., Beekman, M., van der Spek, A., van Meurs, J.B.J., Franke, L., et al. (2018). DNA methylation signatures of educational attainment. NPJ Sci Learn 3, 7.
  • van Iterson, M., Cats, D., Hop, P., Consortium, B., and Heijmans, B.T. (2018). omicsPrint: detection of data linkage errors in multiple omics studies. Bioinformatics 34, 2142-2143.
  • Van Waateringe, R.P., Truyens, L., Van Den Berg, P.P., Lutgers, H.L., and Wolffenbuttel, B.H.R. (2018). Skin autofluorescence, a non-invasive biomarker for advanced glycation end products, is not related to the number of pregnancies. J Diabetes 10, 899-901.
  • Vrij, F.M., Bouwkamp, C.G., Gunhanlar, N., Shpak, G., Lendemeijer, B., Baghdadi, M., Gopalakrishna, S., Ghazvini, M., Li, T.M., Quadri, M., et al. (2018). Candidate CSPG4 mutations and induced pluripotent stem cell modeling implicate oligodendrocyte progenitor cell dysfunction in familial schizophrenia. Molecular Psychiatry, Epub ahead of print.
  • Wahl, A., Kasela, S., Carnero-Montoro, E., van Iterson, M., Stambuk, J., Sharma, S., van den Akker, E., Klaric, L., Benedetti, E., Razdorov, G., et al. (2018). IgG glycosylation and DNA methylation are interconnected with smoking. Biochim Biophys Acta Gen Subj 1862, 637-648.
  • Xu, C.J., Soderhall, C., Bustamante, M., Baiz, N., Gruzieva, O., Gehring, U., Mason, D., Chatzi, L., Basterrechea, M., Llop, S., et al. (2018). DNA methylation in childhood asthma: an epigenome-wide meta-analysis. Lancet Respir Med 6, 379-388.
  • Yousefi, S., Abbassi-Daloii, T., Kraaijenbrink, T., Vermaat, M., Mei, H., van 't Hof, P., van Iterson, M., Zhernakova, D.V., Claringbould, A., Franke, L., et al. (2018a). A SNP panel for identification of DNA and RNA specimens. BMC Genomics 19, 90.
  • Yousefi, S., Abbassi-Daloii, T., Kraaijenbrink, T., Vermaat, M., Mei, H., van 't Hof, P., van Iterson, M., Zhernakova, D.V., Claringbould, A., Franke, L., et al. (2018b). A SNP panel for identification of DNA and RNA specimens. BMC Genomics 19, 90.
  • Zhernakova, D.V., Le, T.H., Kurilshikov, A., Atanasovska, B., Bonder, M.J., Sanna, S., Claringbould, A., Vosa, U., Deelen, P., Franke, L., et al. (2018a). Author Correction: Individual variations in cardiovascular-disease-related protein levels are driven by genetics and gut microbiome. Nat Genet 50, 1752.
  • Zhernakova, D.V., Le, T.H., Kurilshikov, A., Atanasovska, B., Bonder, M.J., Sanna, S., Claringbould, A., Vosa, U., Deelen, P., Franke, L., et al. (2018b). Individual variations in cardiovascular-disease-related protein levels are driven by genetics and gut microbiome. Nat Genet 50, 1524-1532.