Publications 2017

We have listed only 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.
  • Alharbi, F.F., Souverein, P.C., de Groot, M.C.H., Blom, M.T., de Boer, A., Klungel, O.H., and Tan, H.L. (2017). The impact of serum potassium-influencing antihypertensive drugs on the risk of out-of-hospital cardiac arrest: A case-control study. Br J Clin Pharmacol 83, 2541-2548.
  • Amin, N., Belonogova, N.M., Jovanova, O., Brouwer, R.W.W., van Rooij, J.G.J., van den Hout, M.C., Svishcheva, G.R., Kraaij, R., Zorkoltseva, I.V., Kirichenko, A.V., et al. (2017a). Nonsynonymous Variation in NKPD1 Increases Depressive Symptoms in European Populations. Biological Psychiatry 81, 702-707.
  • Amin, N., Jovanova, O., Adams, H.H.H., Dehghan, A., Kavousi, M., Vernooij, M.W., Peeters, R.P., de Vrij, F.M.S., van der Lee, S.J., van Rooij, J.G.J., et al. (2017b). Exome-sequencing in a large population-based study reveals a rare Asn396Ser variant in the LIPG gene associated with depressive symptoms. Molecular Psychiatry 22, 537-543.
  • Atanasovska, B., Rensen, S.S., van der Sijde, M.R., Marsman, G., Kumar, V., Jonkers, I., Withoff, S., Shiri-Sverdlov, R., Greve, J.W.M., Faber, K.N., et al. (2017). A liver-specific long noncoding RNA with a role in cell viability is elevated in human nonalcoholic steatohepatitis. Hepatology 66, 794-808.
  • Barrdahl, M., Rudolph, A., Hopper, J.L., Southey, M.C., Broeks, A., Fasching, P.A., Beckmann, M.W., Gago-Dominguez, M., Castelao, J.E., Guenel, P., et al. (2017). Gene-environment interactions involving functional variants: Results from the Breast Cancer Association Consortium. International Journal of Cancer 141, 1830-1840.
  • Beekman, J.M., Wang, C.M., Casati, S., Tuggle, K.L., Gulmans, V.A.M., Amaral, M., and De Boeck, K. (2017). Biobanking: towards increased access of biomaterials in cystic fibrosis. Report on the pre-conference meeting to the 13th ECFS Basic Science Conference, Pisa, 30 March-2 April, 2016. J Cyst Fibros 16, 616-621.
  • Ben-Avraham, D., Karasik, D., Verghese, J., Lunetta, K.L., Smith, J.A., Eicher, J.D., Vered, R., Deelen, J., Arnold, A.M., Buchman, A.S., et al. (2017). The complex genetics of gait speed: genome-wide meta-analysis approach. Aging 9, 209-246.
  • Berg van den, M.E., Warren, H.R., Cabrera, C.P., Verweij, N., Mifsud, B., Haessler, J., Bihlmeyer, N.A., Fu, Y.P., Weiss, S., Lin, H.J., et al. (2017). Discovery of novel heart rate-associated loci using the Exome Chip. Human Molecular Genetics 26, 2346-2363.
  • Bigdeli, T.B., Ripke, S., Peterson, R.E., Trzaskowski, M., Bacanu, S.A., Abdellaoui, A., Andlauer, T.F.M., Beekman, A.T.F., Berger, K., Blackwood, D.H.R., et al. (2017). Genetic effects influencing risk for major depressive disorder in China and Europe. Translational Psychiatry 7, e1074.
  • Bonder, M.J., Luijk, R., Zhernakova, D.V., Moed, M., Deelen, P., Vermaat, M., van Iterson, M., van Dijk, F., van Galen, M., Bot, J., et al. (2017). Disease variants alter transcription factor levels and methylation of their binding sites. Nature Genetics 49, 133-138.
  • Bonvanie, I.J., Janssens, K.A., Rosmalen, J.G., and Oldehinkel, A.J. (2017). Life events and functional somatic symptoms: A population study in older adolescents. Br J Psychol 108, 318-333.
  • Bot, M., Middeldorp, C.M., de Geus, E.J.C., Lau, H.M., Sinke, M., van Nieuwenhuizen, B., Smit, J.H., Boomsma, D.I., and Penninx, B.W.J.H. (2017). Validity of LIDAS (LIfetime Depression Assessment Self-report): a self-report online assessment of lifetime major depressive disorder. Psychological Medicine 47, 279-289.
  • Braun, K.V.E., Dhana, K., de Vries, P.S., Voortman, T., van Meurs, J.B.J., Uitterlinden, A.G., Hofman, A., Hu, F.B., Franco, O.H., Dehghan, A., et al. (2017). Epigenome-wide association study (EWAS) on lipids: the Rotterdam Study. Clinical Epigenetics 9, 15.
  • Bredenoord, A.L., and Boeckhout, M. (2017). Ancillary Care Obligations for Social Media Platforms. The American journal of bioethics : AJOB 17, 29-31.
  • Brennan, P., Perola, M., van Ommen, G.J., Riboli, E., and European Cohort, C. (2017). Chronic disease research in Europe and the need for integrated population cohorts. Eur J Epidemiol 32, 741-749.
  • Brinksma, D.M., Hoekstra, P.J., van den Hoofdakker, B., de Bildt, A., Buitelaar, J.K., Hartman, C.A., and Dietrich, A. (2017). Age-dependent role of pre- and perinatal factors in interaction with genes on ADHD symptoms across adolescence. J Psychiatr Res 90, 110-117.
  • Brouckaert, O., Rudolph, A., Laenen, A., Keeman, R., Bolla, M.K., Wang, Q., Soubry, A., Wildiers, H., Andrulis, I.L., Arndt, V., et al. (2017). Reproductive profiles and risk of breast cancer subtypes: a multi-center case-only study. Breast Cancer Research 19, 119.
  • Brouwer-Brolsma, E.M., Streppel, M.T., van Lee, L., Geelen, A., Sluik, D., van de Wiel, A.M., de Vries, J.H.M., van 't Veer, P., and Feskens, E.J.M. (2017). A National Dietary Assessment Reference Database (NDARD) for the Dutch Population: Rationale behind the Design. Nutrients 9, 13.
  • Brouwer, E. (2017). Novel Therapeutic Approaches to Large Vessel Vasculitis. Rheumatology 56, 19: I88
  • Buljubasic, N., Akkerhuis, K.M., Cheng, J.M., Oemrawsingh, R.M., Garcia-Garcia, H.M., de Boer, S.P.M., Regar, E., van Geuns, R.J.M., Serruys, P., Boersma, E., et al. (2017). Fibrinogen in relation to degree and composition of coronary plaque on intravascular ultrasound in patients undergoing coronary angiography. Coronary Artery Dis 28, 23-32.
  • Deckert, J., Weber, H., Villmann, C., Lonsdorf, T.B., Richter, J., Andreatta, M., Arias-Vasquez, A., Hommers, L., Kent, L., Schartner, C., et al. (2017). GLRB allelic variation associated with agoraphobic cognitions, increased startle response and fear network activation: a potential neurogenetic pathway to panic disorder. Molecular Psychiatry 22, 1431-1439.
  • Dijk van, F.E., Mostert, J., Glennon, J., Onnink, M., Dammers, J., Vasquez, A.A., Kan, C., Verkes, R.J., Hoogman, M., Franke, B., et al. (2017). Five factor model personality traits relate to adult attention-deficit/hyperactivity disorder but not to their distinct neurocognitive profiles. Psychiatry Research 258, 255-261.
  • Direk, N., Williams, S., Smith, J.A., Ripke, S., Air, T., Amare, A.T., Amin, N., Baune, B.T., Bennett, D.A., Blackwood, D.H.R., et al. (2017). An Analysis of Two Genome-wide Association Meta-analyses Identifies a New Locus for Broad Depression Phenotype. Biological Psychiatry 82, 322-329.
  • Ehli, E.A., Abdellaoui, A., Fedko, I.O., Grieser, C., Nohzadeh-Malakshah, S., Willemsen, G., de Geus, E.J., Boomsma, D.I., Davies, G.E., and Hottenga, J.J. (2017). A method to customize population-specific arrays for genome-wide association testing. European Journal of Human Genetics 25, 267-270.
  • Ellis, B.J., Oldehinkel, A.J., and Nederhof, E. (2017). The adaptive calibration model of stress responsivity: An empirical test in the Tracking Adolescents' Individual Lives Survey study. Dev Psychopathol 29, 1001-1021.
  • Elsenburg, L.K., Smidt, N., Hoek, H.W., and Liefbroer, A.C. (2017a). Body Mass Index Trajectories from Adolescence to Early Young Adulthood: Do Adverse Life Events Play a Role? Obesity 25, 2142-2148.
  • Elsenburg, L.K., Smidt, N., and Liefbroer, A.C. (2017b). The Longitudinal Relation Between Accumulation of Adverse Life Events and Body Mass Index From Early Adolescence to Young Adulthood. Psychosomatic Medicine 79, 365-373.
  • Eppinga, R.N., Kofink, D., Dullaart, R.P.F., Dalmeijer, G.W., Lipsic, E., van Veldhuisen, D.J., van der Horst, I.C.C., Asselbergs, F.W., and van der Harst, P. (2017). Effect of Metformin on Metabolites and Relation With Myocardial Infarct Size and Left Ventricular Ejection Fraction After Myocardial Infarction. Circulation - Cardiovascular Genetics 10, 59.
  • Ferreira, M.A., Vonk, J.M., Baurecht, H., Marenholz, I., Tian, C., Hoffman, J.D., Helmer, Q., Tillander, A., Ullemar, V., van Dongen, J., et al. (2017). Shared genetic origin of asthma, hay fever and eczema elucidates allergic disease biology. Nature Genetics 49, 1752-1757.
  • Franken, A., Laceulle, O.M., Van Aken, M.A.G., and Ormel, J. (2017). Using Response Surface Analysis to Interpret the Impact of Parent-Offspring Personality Similarity on Adolescent Externalizing Problems. Eur J Personal 31, 104-117.
  • Gallo, V., Dijk, F.N., Holloway, J.W., Ring, S.M., Koppelman, G.H., Postma, D.S., Strachan, D.P., Granell, R., de Jongste, J.C., Jaddoe, V.W.V., et al. (2017). TRPA1 gene polymorphisms and childhood asthma. Pediatr Allergy Immunol 28, 191-198.
  • Gerritsen, L., Milaneschi, Y., Vinkers, C.H., van Hemert, A.M., van Velzen, L., Schmaal, L., and Penninx, B. (2017). HPA Axis Genes, and Their Interaction with Childhood Maltreatment, are Related to Cortisol Levels and Stress-Related Phenotypes. Neuropsychopharmacology 42, 2446-2455.
  • Gialluisi, A., Guadalupe, T., Francks, C., and Fisher, S.E. (2017). Neuroimaging genetic analyses of novel candidate genes associated with reading and language. Brain Lang 172, 9-15.
  • Graff, M., Scott, R.A., Justice, A.E., Young, K.L., Feitosa, M.F., Barata, L., Winkler, T.W., Chu, A.Y., Mahajan, A., Hadley, D., et al. (2017). Genome-wide physical activity interactions in adiposity. A meta-analysis of 200,452 adults. PLoS Genetics 13, e1006528.
  • Gudmundsson, J., Thorleifsson, G., Sigurdsson, J.K., Stefansdottir, L., Jonasson, J.G., Gudjonsson, S.A., Gudbjartsson, D.F., Masson, G., Johannsdottir, H., Halldorsson, G.H., et al. (2017). A genome-wide association study yields five novel thyroid cancer risk loci. Nature Communications 8, 14517.
  • Hamdi, Y., Soucy, P., Kuchenbaeker, K.B., Pastinen, T., Droit, A., Lemacon, A., Adlard, J., Aittomaki, K., Andrulis, I.L., Arason, A., et al. (2017). Association of breast cancer risk in BRCA1 and BRCA2 mutation carriers with genetic variants showing differential allelic expression: identification of a modifier of breast cancer risk at locus 11q22.3. Breast Cancer Research and Treatment 161, 117-134.
  • Hart 't, L.M., Vogelzangs, N., van Greevenbroek, M.M., van der Kallen, C.J., Slieker, R.C., Mook-Kanamori, D.O., van Dijk, K.W., Dekker, J.M., and Nijpels, G. (2017). Blood metabolites associate with glycaemic control in type 2 diabetes independent of glucose lowering medication. Diabetologia 60, S99.
  • Hillger, J.M., le Roy, B., Wang, Z., Mulder-Krieger, T., Boomsma, D.I., Slagboom, P.E., Danen, E.H.J., Ijzerman, A.P., and Heitman, L.H. (2017). Phenotypic screening of cannabinoid receptor 2 ligands shows different sensitivity to genotype. Biochem Pharmacol 130, 60-70.
  • Holstege, H., van der Lee, S.J., Hulsman, M., Wong, T.H., van Rooij, J.G.J., Weiss, M., Louwersheimer, E., Wolters, F.J., Amin, N., Uitterlinden, A.G., et al. (2017). Characterization of pathogenic SORL1 genetic variants for association with Alzheimer's disease: a clinical interpretation strategy. European Journal of Human Genetics 25, 973-981.
  • Hulsegge, G., Spijkerman, A.M.W., van der Schouw, Y.T., Bakker, S.J.L., Gansevoort, R.T., Smit, H.A., and Verschuren, W.M.M. (2017). Trajectories of metabolic risk factors and biochemical markers prior to the onset of type 2 diabetes: the population-based longitudinal Doetinchem study. Nutrition & Diabetes 7, 8.
  • Hulzen van, K.J.E., Scholz, C.J., Franke, B., Ripke, S., Klein, M., McQuillin, A., Sonuga-Barke, E.J., Kelsoe, J.R., Landen, M., Andreassen, O.A., et al. (2017). Genetic Overlap Between Attention-Deficit/Hyperactivity Disorder and Bipolar Disorder: Evidence From Genome-wide Association Study Meta-analysis. Biological Psychiatry 82, 634-641.
  • Iterson van, M., van Zwet, E.W., Heijmans, B.T., and Consortium, B. (2017). Controlling bias and inflation in epigenome- and transcriptome-wide association studies using the empirical null distribution. Genome Biol 18, 19.
  • Jagt-Jelsma van der, W., de Vries-Schot, M., Scheepers, P., van Deurzen, P.A.M., Klip, H., and Buitelaar, J.K. (2017). Longitudinal study of religiosity and mental health of adolescents with psychiatric problems. The TRAILS study. European Psychiatry 45, 65-71.
  • Jansen, I.E., Gibbs, J.R., Nalls, M.A., Price, T.R., Lubbe, S., van Rooij, J., Uitterlinden, A.G., Kraaij, R., Williams, N.M., Brice, A., et al. (2017a). Establishing the role of rare coding variants in known Parkinson's disease risk loci. Neurobiol Aging 59, 220 e211-220 e218.
  • Jansen, R., Hottenga, J.J., Nivard, M.G., Abdellaoui, A., Laport, B., de Geus, E.J., Wright, F.A., Penninx, B., and Boomsma, D.I. (2017b). Conditional eQTL analysis reveals allelic heterogeneity of gene expression. Human Molecular Genetics 26, 1444-1451.
  • Jansen, R., Lamers, F., Milaneschi, Y., Hottenga, J.J., Willemsen, G., van Grootheest, G., Mei, H., Boomsma, D.I., Penninx, B.W.J.H., and Consortium, B. (2017c). LPS STIMULATED WHOLE BLOOD RNA SEQUENCING OF MDD SUBTYPES. Eur Neuropsychopharmacol 27, S214-S215.
  • Jeronimus, B.F., Riese, H., Oldehinkel, A.J., and Ormel, J. (2017). Why Does Frustration Predict Psychopathology? Multiple Prospective Pathways Over Adolescence: A TRAILS Study. Eur J Personal 31, 85-103.
  • Justice, A.E., Winkler, T.W., Feitosa, M.F., Graff, M., Fisher, V.A., Young, K., Barata, L., Deng, X., Czajkowski, J., Hadley, D., et al. (2017). Genome-wide meta-analysis of 241,258 adults accounting for smoking behaviour identifies novel loci for obesity traits. Nature Communications 8, 14977.
  • Kaakinen, M., Magi, R., Lagou, V., Claringbould, A., Gaulton, K., Fischer, K., Morris, A., Prokopenko, I., Consortium, B., and Consortium, E. (2017). Multi-Phenotype Genome-Wide Meta-Analysis of Lipid Levels and BMI in 64,736 Europeans Suggests Shared Genetic Architecture. Genetic Epidemiology 41, 652-653.
  • Karlsson Linnér, R., Marioni, R.E., Rietveld, C.A., Simpkin, A.J., Davies, N.M., Watanabe, K., Armstrong, N.J., Auro, K., Baumbach, C., Bonder, M.J., et al. (2017). An epigenome-wide association study meta-analysis of educational attainment. Molecular Psychiatry 22, 1680-1690.
  • Kavaklioglu, T., Guadalupe, T., Zwiers, M., Marquand, A.F., Onnink, M., Shumskaya, E., Brunner, H., Fernandez, G., Fisher, S.E., and Francks, C. (2017). Structural asymmetries of the human cerebellum in relation to cerebral cortical asymmetries and handedness. Brain Struct Funct 222, 1611-1623.
  • Klein, M., Stein, J.L., Thompson, P., Faraone, S., Borglum, A., Faraone, S.V., Thompson, P.M., Medland, S.E., Arias-Vasquez, A., Franke, B., et al. (2017). Investigating the Overlap between Common Genetic Factors for ADHD Risk and Brain Volume Measures. Biological Psychiatry 81, S42-S42.
  • Kluiver de, H., Buizer-Voskamp, J.E., Dolan, C.V., and Boomsma, D.I. (2017). Paternal age and psychiatric disorders: A review. Am J Med Genet B Neuropsychiatr Genet 174, 202-213.
  • Kretschmer, T., Vollebergh, W., and Oldehinkel, A.J. (2017). Parent–child positivity and romantic relationships in emerging adulthood Congruence, compensation, and the role of social skills. International Journal of Behavioral Development 41, 198–210.
  • Lecarpentier, J., Silvestri, V., Kuchenbaecker, K.B., Barrowdale, D., Dennis, J., McGuffog, L., Soucy, P., Leslie, G., Rizzolo, P., Navazio, A.S., et al. (2017). Prediction of Breast and Prostate Cancer Risks in Male BRCA1 and BRCA2 Mutation Carriers Using Polygenic Risk Scores. J Clin Oncol 35, 2240-2250.
  • Lin, B.D., Carnero-Montoro, E., Bell, J.T., Boomsma, D.I., de Geus, E.J., Jansen, R., Kluft, C., Mangino, M., Penninx, B., Spector, T.D., et al. (2017a). 2SNP heritability and effects of genetic variants for neutrophil-to-lymphocyte and platelet-to-lymphocyte ratio. J Hum Genet 62, 979-988.
  • Lin, B.D., Willemsen, G., Fedko, I.O., Jansen, R., Penninx, B.W.J.H., de Geus, E., Kluft, C., Hottenga, J., and Boomsma, D.I. (2017b). Heritability and GWAS Studies for Monocyte-Lymphocyte Ratio. Twin Research and Human Genetics 20, 97-107.
  • Liu, J., Semiz, S., van der Lee, S.J., van der Spek, A., Verhoeven, A., van Klinken, J.B., Sijbrands, E., Harms, A.C., Hankemeier, T., van Dijk, K.W., et al. (2017a). Metabolomics based markers predict type 2 diabetes in a 14-year follow-up study. Metabolomics 13, 104.
  • Liu, J., van Klinken, J.B., Semiz, S., van Dijk, K.W., Verhoeven, A., Hankemeier, T., Harms, A.C., Sijbrands, E., Sheehan, N.A., van Duijn, C.M., et al. (2017b). A Mendelian Randomization Study of Metabolite Profiles, Fasting Glucose, and Type 2 Diabetes. Diabetes 66, 2915-2926.
  • Makama, M., Drukker, C.A., Rutgers, E.J.T., Slaets, L., Cardoso, F., Rookus, M.A., Tryfonidis, K., Van't Veer, L.J., and Schmidt, M.K. (2017). An association study of established breast cancer reproductive and lifestyle risk factors with tumour subtype defined by the prognostic 70-gene expression signature (MammaPrint (R)). European Journal of Cancer 75, 5-13.
  • Mandaviya, P.R., Aissi, D., Dekkers, K.F., Joehanes, R., Kasela, S., Truong, V., Stolk, L., van Heemst, D., Ikram, M.A., Lindemans, J., et al. (2017a). Homocysteine levels associate with subtle changes in leukocyte DNA methylation: an epigenome-wide analysis. Epigenomics 9, 1403-1422.
  • Mandaviya, P.R., Joehanes, R., Aissi, D., Kuhnel, B., Marioni, R.E., Truong, V., Stolk, L., Beekman, M., Bonder, M.J., Franke, L., et al. (2017b). Genetically defined elevated homocysteine levels do not result in widespread changes of DNA methylation in leukocytes. Plos One 12, 19.
  • Marouli, E., Graff, M., Medina-Gomez, C., Lo, K.S., Wood, A.R., Kjaer, T.R., Fine, R.S., Lu, Y., Schurmann, C., Highland, H.M., et al. (2017). Rare and low-frequency coding variants alter human adult height. Nature 542, 186-190.
  • McArtort, D.B., Bochao, D., Hottenga, L.J.J., Boonnsma, D.I., Willemsen, G., and Lubke, G.H. (2017). Using a multivariate model to assess the interactive effects of demographics and lifestyle on the hematological profile. Biomark Med 11, 427-438.
  • Meessen, J., Saberi Hosnijeh, F., Wesseling, J., Slagboom, E., Uitterlinden, A., Nelissen, R., van Meurs, J., and Meulenbelt, I. (2017). METABOLOMICS IN OSTEOARTHRITIS: A FATTY ACIDS LINK. Bone & Joint Journal 99-B, 13.
  • Merker, S., Reif, A., Ziegler, G.C., Weber, H., Mayer, U., Ehlis, A.C., Conzelmann, A., Johansson, S., Muller-Reible, C., Nanda, I., et al. (2017). SLC2A3 single-nucleotide polymorphism and duplication influence cognitive processing and population-specific risk for attention-deficit/hyperactivity disorder. Journal of Child Psychology and Psychiatry 58, 798-809.
  • Mertens, B., Datta, S., Hankemeier, T., Beekman, M., and Uh, H.-W. (2017). Statistical Analysis of Lipidomics Data in a Case-Control Study, Vol Statistical Analysis of Proteomics, Metabolomics, and Lipidomics Data Using Mass Spectrometry.
  • Milaneschi, Y., Lamers, F., Peyrot, W.J., Baune, B.T., Breen, G., Dehghan, A., Forstner, A.J., Grabe, H.J., Homuth, G., Kan, C., et al. (2017). Genetic Association of Major Depression With Atypical Features and Obesity-Related Immunometabolic Dysregulations. Jama Psychiatry 74, 1214-1225.
  • Most van der, P.J., Kupers, L.K., Snieder, H., and Nolte, I. (2017). QCEWAS: automated quality control of results of epigenome-wide association studies. Bioinformatics 33, 1243-1245.
  • Nano, J., Ghanbari, M., Wang, W.S., de Vries, P.S., Dhana, K., Muka, T., Uitterlinden, A.G., van Meurs, J.B.J., Hofman, A., Franco, O.H., et al. (2017). Epigenome-Wide Association Study Identifies Methylation Sites Associated With Liver Enzymes and Hepatic Steatosis. Gastroenterology 153, 1096-1106.e1092.
  • Nedeljkovic, I., Lahousse, L., Carnero Montoro, E., Faiz, A., Vonk, J.M., de Jong, K., van der Plaat, D.A., van Diemen, C.C., van den Berge, M., Obeidat, M.e., et al. (2017). COPD GWAS variant at 19q13.2 in relation with DNA methylation and gene expression. Human molecular genetics.
  • Nivard, M.G., Gage, S.H., Hottenga, J.J., van Beijsterveldt, C., Abdellaoui, A., Baselmans, B.M.L., Ligthart, L., St Pourcain, B., Boomsma, D.I., Munafò, M.R., et al. (2017). Genetic Overlap Between Schizophrenia and Developmental Psychopathology: Longitudinal and Multivariate Polygenic Risk Prediction of Common Psychiatric Traits During Development. Schizophrenia Bull 43, 1197-1207.
  • Ohmann, C., Banzi, R., Canham, S., Battaglia, S., Matei, M., Ariyo, C., Becnel, L., Bierer, B., Bowers, S., Clivio, L., et al. (2017). Sharing and reuse of individual participant data from clinical trials: principles and recommendations. BMJ Open 7, e018647.
  • Ormel, J., Oerlemans, A.M., Raven, D., Laceulle, O.M., Hartman, C.A., Veenstra, R., Verhulst, F.C., Vollebergh, W., Rosmalen, J.G.M., Reijneveld, S.A., et al. (2017). Functional outcomes of child and adolescent mental disorders. Current disorder most important but psychiatric history matters as well. Psychological Medicine 47, 1271-1282.
  • Pang, C., Kelpin, F., van Enckevort, D., Eklund, N., Silander, K., Hendriksen, D., de Haan, M., Jetten, J., de Boer, T., Charbon, B., et al. (2017). BiobankUniverse: automatic matchmaking between datasets for biobank data discovery and integration. Bioinformatics 33, 3627-3634.
  • Papachristou, E., Oldehinkel, A.J., Ormel, J., Raven, D., Hartman, C.A., Frangou, S., and Reichenberg, A. (2017). The predictive value of childhood subthreshold manic symptoms for adolescent and adult psychiatric outcomes. Journal of Affective Disorders 212, 86-92.
  • Peeters, M., Oldehinkel, T., and Vollebergh, W. (2017). Behavioral Control and Reward Sensitivity in Adolescents' Risk Taking Behavior: A Longitudinal TRAILS Study. Frontiers in Psychology 8, 11.
  • Plaat van der, D.A., de Jong, K., Lahousse, L., Faiz, A., Vonk, J.M., van Diemen, C.C., Nedeljkovic, I., Amin, N., Brusselle, G.G., Hofman, A., et al. (2017). Genome-wide association study on the FEV1/FVC ratio in never-smokers identifies HHIP and FAM13A. The Journal of allergy and clinical immunology 139, 533-540.
  • Plomp, R., Ruhaak, L.R., Uh, H.W., Reiding, K.R., Selman, M., Houwing-Duistermaat, J.J., Slagboom, P.E., Beekman, M., and Wuhrer, M. (2017). Subclass-specific IgG glycosylation is associated with markers of inflammation and metabolic health. Sci Rep 7, 12325.
  • Power, R.A., Tansey, K.E., Buttenschon, H.N., Cohen-Woods, S., Bigdeli, T., Hall, L.S., Kutalik, Z., Lee, S.H., Ripke, S., Steinberg, S., et al. (2017). Genome-wide Association for Major Depression Through Age at Onset Stratification: Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium. Biological Psychiatry 81, 325-335.
  • Proynova, R., Alexandre, D., Lablans, M., van Enckevort, D., Mate, S., Eklund, N., Silander, K., Hummel, M., Holub, P., and Uckert, F. (2017). A Decentralized IT Architecture for Locating and Negotiating Access to Biobank Samples. Studies in health technology and informatics 243, 75-79.
  • Raven, D., Jorg, F., Visser, E., Oldehinkel, A.J., and Schoevers, R.A. (2017). Time-to-treatment of mental disorders in a community sample of Dutch adolescents. A TRAILS study. Epidemiol Psychiatr Sci 26, 177-188.
  • Reiding, K.R., Ruhaak, L.R., Uh, H.W., El Bouhaddani, S., van den Akker, E.B., Plomp, R., McDonnell, L.A., Houwing-Duistermaat, J.J., Slagboom, P.E., Beekman, M., et al. (2017). Human Plasma N-glycosylation as Analyzed by Matrix-Assisted Laser Desorption/Ionization-Fourier Transform Ion Cyclotron Resonance-MS Associates with Markers of Inflammation and Metabolic Health. Mol Cell Proteomics 16, 228-242.
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