Publications 2016

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.

  • Abubakar, M., Howat, W.J., Daley, F., Zabaglo, L., McDuffus, L.A., Blows, F., Coulson, P., Raza Ali, H., Benitez, J., Milne, R., et al. (2016a). High-throughput automated scoring of Ki67 in breast cancer tissue microarrays from the Breast Cancer Association Consortium. The Journal of Pathology: Clinical Research 2, 138-153.
  • Abubakar, M., Orr, N., Daley, F., Coulson, P., Ali, H.R., Blows, F., Benitez, J., Milne, R., Brenner, H., Stegmaier, C., et al. (2016b). Prognostic value of automated KI67 scoring in breast cancer: a centralised evaluation of 8088 patients from 10 study groups. Breast Cancer Research 18, 104.
  • Adams, H.H.H., Hibar, D.P., Chouraki, V., Stein, J.L., Nyquist, P.A., Renteria, M.E., Trompet, S., Arias-Vasquez, A., Seshadri, S., Desrivieres, S., et al. (2016). Novel genetic loci underlying human intracranial volume identified through genome-wide association. Nature Neuroscience 19, 1569-1582.
  • Aguirre-Gamboa, R., Joosten, I., Urbano, P.C.M., van der Molen, R.G., van Rijssen, E., van Cranenbroek, B., Oosting, M., Smeekens, S., Jaeger, M., Zorro, M., et al. (2016). Differential Effects of Environmental and Genetic Factors on T and B Cell Immune Traits. Cell Reports 17, 2474-2487.
  • Akker van den, E.B., Pitts, S.J., Deelen, J., Moed, M.H., Potluri, S., van Rooij, J., Suchiman, H.E.D., Lakenberg, N., De Dijcker, W.J., Uitterlinden, A.G., et al. (2016). Uncompromised 10-year survival of oldest old carrying somatic mutations in DNMT3A and TET2. Blood 127, 1512-1515.
  • Amin, N., Allebrandt, K.V., van der Spek, A., Muller-Myhsok, B., Hek, K., Teder-Laving, M., Hayward, C., Esko, T., van Mill, J.G., Mbarek, H., et al. (2016). Genetic variants in RBFOX3 are associated with sleep latency. European Journal of Human Genetics 24, 1488-1495.
  • Barban, N., Jansen, R., de Vlaming, R., Vaez, A., Mandemakers, J.J., Tropf, F.C., Shen, X., Wilson, J.F., Chasman, D.I., Nolte, I.M., et al. (2016). Genome-wide analysis identifies 12 loci influencing human reproductive behavior. Nature Genetics 48, 1462-1472.
  • Beekman, M., Uh, H.W., van Heemst, D., Wuhrer, M., Ruhaak, L.R., Gonzalez-Covarrubias, V., Hankemeier, T., Houwing-Duistermaat, J.J., and Slagboom, P.E. (2016). Classification for Longevity Potential: The Use of Novel Biomarkers. Front Public Health 4, 233.
  • Berg van den, S.M., de Moor, M.H.M., Verweij, K.J.H., Krueger, R.F., Luciano, M., Vasquez, A.A., Matteson, L.K., Derringer, J., Esko, T., Amin, N., et al. (2016). Meta-analysis of Genome-Wide Association Studies for Extraversion: Findings from the Genetics of Personality Consortium. Behavior Genetics 46, 170-182.
  • Boelema, S.R., Harakeh, Z., van Zandvoort, M.J., Reijneveld, S.A., Verhulst, F.C., Ormel, J., and Vollebergh, W.A. (2016). Executive functioning before and after onset of alcohol use disorder in adolescence. A TRAILS study. J Psychiatr Res 78, 78-85.
  • Bonder, M.J., Kurilshikov, A., Tigchelaar, E.F., Mujagic, Z., Imhann, F., Vila, A.V., Deelen, P., Vatanen, T., Schirmer, M., Smeekens, S.P., et al. (2016). The effect of host genetics on the gut microbiome. Nature Genetics 48, 1407-1412.
  • Bonvanie, I.J., Oldehinkel, A.J., Rosmalen, J.G.M., and Janssens, K.A.M. (2016). Sleep problems and pain: a longitudinal cohort study in emerging adults. Pain 157, 957-963.
  • Bot, M., Middeldorp, C., de Geus, E.J., Lau, H.M., Sinke, M., van Nieuwenhuizen, B., Smit, J., Boomsma, D.I., and Penninx, B.W.J.H. (2016a). Self-reported online assessment of lifetime major depressive disorder: a validation study. Bipolar Disord 18, 128-128.
  • Bot, M., Thesing, C., and Penninx, B.W.J.H. (2016b). Associations between plasma metabolites and major depressive disorder. Bipolar Disord 18, 137-137.
  • Bovenberg, J., Kattenberg, M., Baselmans, B.M., Sinke, M., Hoekstra, R., Boomsma, D.I., and Willemsen, G. (2016). Enhancing Biobank Participants’ Rights – From Paper to Portal Scripted 13, 70-82.
  • Braak van den, R.R.J.C., Vink, G.R., van Oijen, M.G.H., de Noo, M.E., Kurk, S.A., Burbach, M.J.P., Couwenberg, A.M., May, A.M., Verkooijen, H.M., Meijer, G.A., et al. (2016). The prospective Dutch colorectal cancer cohort: A prospective nation-wide observational cohort study. Cancer Res 76, 1827.
  • Brankovic, M., Akkerhuis, K.M., Buljubasic, N., Cheng, J.M., Oemrawsingh, R.M., Garcia-Garcia, H.M., Regar, E., Serruys, P.W., van Geuns, R.J., Boersma, E., et al. (2016). Plasma cystatin C and neutrophil gelatinase-associated lipocalin in relation to coronary atherosclerosis on intravascular ultrasound and cardiovascular outcome: Impact of kidney function (ATHEROREMO-IVUS study). Atherosclerosis 254, 20-27.
  • Brouwers, M.C.G., Simons, N., Schaper, N.C., Stehouwe, C.D.A., and van Greevenbroek, M.M.J. (2016). Nonalcoholic fatty liver disease is associated with incident type 2 diabetes in combined hyperlipidaemic pedigrees: a 10-years follow-up study. Diabetologia 59, S147-S147.
  • Castano-Betancourt, M.C., Evans, D.S., Ramos, Y.F.M., Boer, C.G., Metrustry, S., Liu, Y.F., den Hollander, W., van Rooij, J., Kraus, V.B., Yau, M.S., et al. (2016). Novel Genetic Variants for Cartilage Thickness and Hip Osteoarthritis. PLos Genetics 12, e1006260
  • Consortium, O.C.A., Consortium, B.C.A., BRCA, C.o.M.o., Hollestelle, A., van der Baan, F.H., Berchuck, A., Johnatty, S.E., Aben, K.K., Agnarsson, B.A., Aittomaki, K., et al. (2016). No clinical utility of KRAS variant rs61764370 for ovarian or breast cancer. Gynecol Oncol 141, 386-401.
  • Darabi, H., Beesley, J., Droit, A., Kar, S., Nord, S., Marjaneh, M.M., Soucy, P., Michailidou, K., Ghoussaini, M., Wahl, H.F., et al. (2016). Fine scale mapping of the 17q22 breast cancer locus using dense SNPs, genotyped within the Collaborative Oncological Gene-Environment Study (COGs). Sci Rep 6, 32512.
  • Deelen, J., van den Akker, E.B., Trompet, S., van Heemst, D., Mooijaart, S.P., Slagboom, P.E., and Beekman, M. (2016). Employing biomarkers of healthy ageing for leveraging genetic studies into human longevity. Exp Gerontol 82, 166-174.
  • Dekkers, K.F., Slagboom, P.E., Jukema, J.W., and Heijmans, B.T. (2016a). The multifaceted interplay between lipids and epigenetics. Curr Opin Lipidology 27, 288-294.
  • Dekkers, K.F., van Iterson, M., Slieker, R.C., Moed, M.H., Bonder, M.J., van Galen, M., Mei, H.L., Zhernakova, D.V., van den Berg, L.H., Deelen, J., et al. (2016b). Blood lipids influence DNA methylation in circulating cells. Genome Biol 17, 12.
  • Deutekom van, A.W., Chinapaw, M.J., Gademan, M.G., Twisk, J.W., Gemke, R.J., and Vrijkotte, T.G. (2016). The association of birth weight and infant growth with childhood autonomic nervous system activity and its mediating effects on energy-balance-related behaviours-the ABCD study. International Journal of Epidemiology 45, 1079-1090.
  • Dongen van, J., Nivard, M.G., Willemsen, G., Hottenga, J.J., Helmer, Q., Dolan, C.V., Ehli, E.A., Davies, G.E., van Iterson, M., Breeze, C.E., et al. (2016). Genetic and environmental influences interact with age and sex in shaping the human methylome. Nature Communications 7, 13.
  • Dooren van, F.E., Schram, M.T., Schalkwijk, C.G., Stehouwer, C.D., Henry, R.M., Dagnelie, P.C., Schaper, N.C., van der Kallen, C.J., Koster, A., Sep, S.J., et al. (2016a). Associations of low grade inflammation and endothelial dysfunction with depression – The Maastricht Study. Brain, Behavior, and Immunity 56, 390-396.
  • Dooren van, F.E., Verhey, F.R., Pouwer, F., Schalkwijk, C.G., Sep, S.J., Stehouwer, C.D., Henry, R.M., Dagnelie, P.C., Schaper, N.C., van der Kallen, C.J., et al. (2016b). Association of Type D personality with increased vulnerability to depression: Is there a role for inflammation or endothelial dysfunction? – The Maastricht Study. Journal of Affective Disorders 189, 118-125.
  • Duijn van, C.M., van der Lee, S.J., Ikram, M.A., Hofman, A., Hankemeier, T., Amin, N., and Demirkan, A. (2016). Metabolites Associated with Cognitive Function in the Rotterdam Study and Erasmus Rucphen Family Study. Alzheimer's & Dementia 12, P165.
  • Easton, D.F., Lesueur, F., Decker, B., Michailidou, K., Li, J., Allen, J., Luccarini, C., Pooley, K.A., Shah, M., Bolla, M.K., et al. (2016). No evidence that protein truncating variants in BRIP1 are associated with breast cancer risk: implications for gene panel testing. Journal of Medical Genetics 53, 298-309.
  • Eicher, J.D., Chami, N., Kacprowski, T., Nomura, A., Chen, M.H., Yanek, L.R., Tajuddin, S.M., Schick, U.M., Slater, A.J., Pankratz, N., et al. (2016). Platelet-Related Variants Identified by Exomechip Meta-analysis in 157,293 Individuals. Am J Hum Genet 99, 40-55.
  • Everaerd, D., Klumpers, F., Zwiers, M., Guadalupe, T., Franke, B., van Oostrom, I., Schene, A., G., F., and Tendolka, I. (2016). Childhood abuse and deprivation are associated with distinct sex-dependent differences in brain morphology. Neuropsychopharmacology 41, 1716-1723.
  • Felix, J.F., Bradfield, J.P., Monnereau, C., van der Valk, R.J.P., Stergiakouli, E., Chesi, A., Gaillard, R., Feenstra, B., Thiering, E., Kreiner-Moller, E., et al. (2016). Genome-wide association analysis identifies three new susceptibility loci for childhood body mass index. Human Molecular Genetics 25, 389-403.
  • Francioli, L.C., Cretu-Stancu, M., Garimella, K.V., Fromer, M., Kloosterman, W.P., Consortium, T.G.o.t.N., Samocha, K.E., Neale, B.M., Daly, M.J., Banks, E., et al. (2016). A framework for the detection of de novo mutations in family-based sequencing data. European Journal Of Human Genetics 25, 227-233.
  • Franke, B., Stein, J.L., Ripke, S., Anttila, V., Hibar, D.P., van Hulzen, K.J.E., Arias-Vasquez, A., Smoller, J.W., Nichols, T.E., Neale, M.C., et al. (2016a). Genetic influences on schizophrenia and subcortical brain volumes: large-scale proof of concept. Nature Neuroscience 19, 420-431.
  • Franke, L., el Bannoudi, H., Jansen, D.T., Kok, K., Trynka, G., Diogo, D., Swertz, M., Fransen, K., Knevel, R., Gutierrez-Achury, J., et al. (2016b). Association analysis of copy numbers of FC-gamma receptor genes for rheumatoid arthritis and other immune-mediated phenotypes. European Journal of Human Genetics 24, 263-270.
  • Gibson-Smith, D., Bot, M., Paans, N.P., Visser, M., Brouwer, I., and Penninx, B.W.J.H. (2016). The role of obesity measures in the development and persistence of major depressive disorder. J Affect Disord 198, 222-229.
  • Hamdi, Y., Soucy, P., Adoue, V., Michailidou, K., Canisius, S., Lemacon, A., Droit, A., Andrulis, I.L., Anton-Culver, H., Arndt, V., et al. (2016). Association of breast cancer risk with genetic variants showing differential allelic expression: Identification of a novel breast cancer susceptibility locus at 4q21. Oncotarget 7, 80140-80163.
  • Hehir-Kwa, J.Y., Marschall, T., Kloosterman, W.P., Francioli, L.C., Baaijens, J.A., Dijkstra, L., Abdellaoui, A., Koval, V., TjwanThung, D., Wardenaar, R., et al. (2016a). A high-quality reference panel reveals the complexity and distribution of structural genome changes in a human population biorxivorg July 2016, 12989.
  • Hehir-Kwa, J.Y., Marschall, T., Kloosterman, W.P., Francioli, L.C., Baaijens, J.A., Dijkstra, L.J., Abdellaoui, A., Koval, V., Thung, D.T., Wardenaar, R., et al. (2016b). A high-quality human reference panel reveals the complexity and distribution of genomic structural variants. Nature Communications 7, 12989.
  • Heleniak, C., McLaughlin, K.A., Ormel, J., and Riese, H. (2016). Cardiovascular reactivity as a mechanism linking child trauma to adolescent psychopathology. Biological Psychology 120, 108-119.
  • Hollander den, W., Boer, C.G., Hart, D., Yau, M.S., Ramos, Y.F., Metrustry, S., Broer, L., Deelen, J., Beekman, M., Cupples, L.A., et al. (2016). Novel Susceptability Loci for Osteoarthritis of the Hand: Coding Variants in MGP and ENPP3. Osteoarthritis Cartilage 24, S226-S227.
  • Holub, P., Swertz, M., Reihs, R., van Enckevort, D., Muller, H., and Litton, J.E. (2016). BBMRI-ERIC Directory: 515 Biobanks with Over 60 Million Biological Samples. Biopreserv Biobank 14, 559-562.
  • Horst ter, R., Jaeger, M., Smeekens, S.P., Oosting, M., Swertz, M.A., Li, Y., Kumar, V., Diavatopoulos, D.A., Jansen, A.F.M., Lemmers, H., et al. (2016). Host and Environmental Factors Influencing Individual Human Cytokine Responses. Cell 167, 1111-1124.e1113
  • 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. (2016). Trajectories of Metabolic Risk Factors and Biochemical Markers prior to the Onset of Cardiovascular Disease - The Doetinchem Cohort Study. PLoS One 11, e0155978.
  • Huttin, C., and Stubbs, A. (2016). A contribution for cost models in biobanking. Technology and Health Care 24, 93-98.
  • Iotchkova, V., Huang, J., Morris, J.A., Jain, D., Barbieri, C., Walter, K., Min, J.L., Chen, L., Astle, W., Cocca, M., et al. (2016). Discovery and refinement of genetic loci associated with cardiometabolic risk using dense imputation maps. Nature Genetics 48, 1303-1312.
  • Jansen, R., Penninx, B.W.J.H., Madar, V., Xia, K., Milaneschi, Y., Hottenga, J.J., Hammerschlag, A.R., Beekman, A., van der Wee, N., Smit, J.H., et al. (2016). Gene expression in major depressive disorder. Molecular Psychiatry 21, 339-347.
  • Jong de, K., Vonk, J.M., Faiz, A., van der Plaat, D.A., Timens, W., Bosse, Y., Kromhout, H., Nedeljkovic, I., Postma, D.S., and Boezen, H.M. (2016). Novel Genetic Susceptibility Loci for FEV1 in the Context of Occupational Exposure in Never-Smokers. American journal of respiratory and critical care medicine 194, 769-772.
  • Jorg, F., Visser, E., Ormel, J., Reijneveld, S.A., Hartman, C.A., and Oldehinkel, A.J. (2016). Mental health care use in adolescents with and without mental disorders. Eur Child Adolesc Psychiatry 25, 501-508.
  • Joubert, B.R., Felix, J.F., Yousefi, P., Bakulski, K.M., Just, A.C., Breton, C., Reese, S.E., Markunas, C.A., Richmond, R.C., Xu, C.J., et al. (2016). DNA Methylation in Newborns and Maternal Smoking in Pregnancy: Genome-wide Consortium Meta-analysis. Am J Hum Genet 98, 680-696.
  • Kaakinen, M., Claringbould, A., Hagenbeek, F., Magi, R., Ala-Korpela, M., Jarvelin, M.R., Prokopenko, I., and Consortium, B. (2016). Genome-Wide Multiphenotype and eQTL Analyses Provide Novel Insights into Omega Fatty Acid Metabolism and Type 2 Diabetes. Diabetes 65, A52.
  • Kaye, J., Briceno Moraia, L., Mitchell, C., Bell, J., Bovenberg, J.A., Tasse, A.M., and Knoppers, B.M. (2016). Access Governance for Biobanks: The Case of the BioSHaRE-EU Cohorts. Biopreserv Biobank 14, 201-206.
  • Kettunen, J., Demirkan, A., Wurtz, P., Draisma, H.H.M., Haller, T., Rawal, R., Vaarhorst, A., Kangas, A.J., Lyytikainen, L.P., Pirinen, M., et al. (2016). Genome-wide study for circulating metabolites identifies 62 loci and reveals novel systemic effects of LPA. Nature Communications 7, 11122.
  • Kilpelainen, T.O., Carli, J.F.M., Skowronski, A.A., Sun, Q., Kriebel, J., Feitosa, M.F., Hedman, A.K., Drong, A.W., Hayes, J.E., Zhao, J.H., et al. (2016). Genome-wide meta-analysis uncovers novel loci influencing circulating leptin levels. Nature Communications 7, 10494.
  • Klein, M., Berger, S., Hoogman, M., Dammers, J., Makkinje, R., Heister, A., Galesloot, T.E., Kiemeney, L., Weber, H., Kittel-Schneider, S., et al. (2016). Meta-analysis of the DRD5 VNTR in persistent ADHD. Eur Neuropsychopharmacol 26, 1527-1532.
  • Klinken van, J.B., and van Dijk, K.W. (2016). FluxModeCalculator: an efficient tool for large-scale flux mode computation. Bioinformatics 32, 1265-1266.
  • Kloek, A.T., van Setten, J., van der Ende, A., Bots, M.L., Asselbergs, F.W., Seron, M.V., Brouwer, M.C., van de Beek, D., and Ferwerda, B. (2016). Exome Array Analysis of Susceptibility to Pneumococcal Meningitis. Sci Rep 6, 29351.
  • Kofink, D., Eppinga, R., Hoefer, I., Boersma, H., Van der Harst, P., Pasterkamp, G., and Asselbergs, F. (2016). Metabolic profiles in cardiovascular patients: predicting recurrent events. Eur Heart J 37, 1389-1390.
  • Kretschmer, T., Sentse, M., Meeus, W., Verhulst, F.C., Veenstra, R., and Oldehinkel, A.J. (2016). Configurations of Adolescents' Peer Experiences: Associations With Parent-Child Relationship Quality and Parental Problem Behavior. Journal of Research on Adolescence 26, 474-491.
  • Kroon, M., Lameijer, E.W., Lakenberg, N., Hehir-Kwa, J.Y., Thung, D.T., Slagboom, P.E., Kok, J.N., and Ye, K. (2016). Detecting dispersed duplications in high-throughput sequencing data using a database-free approach. Bioinformatics 32, 505-510.
  • Lacko, M., Voogd, A.C., van de Goor, R.C., Roelofs, H.M., Te Morsche, R.H., Bouvy, N.D., Peters, W.H., and Manni, J.J. (2016). Genetic polymorphisms in UDP-glucuronosyltransferase 1A6 and 1A7 and the risk for benign Warthin's tumors of the parotid gland. Head & neck 38 Suppl 1, E717-E723.
  • Langenhof, M.R., Komdeur, J., and Oldehinkel, A.J. (2016). Effects of parenting quality on adolescents' personality resemblance to their parents. The TRAILS study. J Adolesc 51, 163-175.
  • Laurin, C., Boomsma, D., and Lubke, G. (2016). The use of vector bootstrapping to improve variable selection precision in Lasso models. Stat Appl Genet Mol Biol 15, 305-320.
  • Lawrenson, K., Kar, S., McCue, K., Kuchenbaeker, K., Michailidou, K., Tyrer, J., Beesley, J., Ramus, S.J., Li, Q.Y., Delgado, M.K., et al. (2016). Functional mechanisms underlying pleiotropic risk alleles at the 19p13.1 breast-ovarian cancer susceptibility locus. Nature Communications 7, 12675.
  • Leeuwen van, E.M., Sabo, A., Bis, J.C., Huffman, J.E., Manichaikul, A., Smith, A.V., Feitosa, M.F., Demissie, S., Joshi, P.K., Duan, Q., et al. (2016). Meta-analysis of 49 549 individuals imputed with the 1000 Genomes Project reveals an exonic damaging variant in ANGPTL4 determining fasting TG levels. Journal of Medical Genetics 53, 441-449.
  • Lei, J.P., Rudolph, A., Moysich, K.B., Behrens, S., Goode, E.L., Bolla, M.K., Dennis, J., Dunning, A.M., Easton, D.F., Wang, Q., et al. (2016). Genetic variation in the immunosuppression pathway genes and breast cancer susceptibility: a pooled analysis of 42,510 cases and 40,577 controls from the Breast Cancer Association Consortium. Human Genetics 135, 137-154.
  • Li, M.K., Rothwell, R., Vermaat, M., Wachsmuth, M., Schroder, R., Laros, J.F.J., van Oven, M., de Bakker, P.I.W., Bovenberg, J.A., van Duijn, C.M., et al. (2016a). Transmission of human mtDNA heteroplasmy in the Genome of the Netherlands families: support for a variable-size bottleneck. Genome Research 26, 417-426.
  • Li, Y., Oosting, M., Deelen, P., Ricano-Ponce, I., Smeekens, S., Jaeger, M., Matzaraki, V., Swertz, M.A., Xavier, R.J., Franke, L., et al. (2016b). Inter-individual variability and genetic influences on cytokine responses to bacteria and fungi. Nature Medicine 22, 952-960.
  • Li, Y., Oosting, M., Smeekens, S.P., Jaeger, M., Aguirre-Gamboa, R., Le, K.T.T., Deelen, P., Ricano-Ponce, I., Schoffelen, T., Jansen, A.F.M., et al. (2016c). A Functional Genomics Approach to Understand Variation in Cytokine Production in Humans. Cell 167, 1099-1110.e1014.
  • Ligthart, S., Marzi, C., Aslibekyan, S., Mendelson, M.M., Conneely, K.N., Tanaka, T., Colicino, E., Waite, L.L., Joehanes, R., Guan, W.H., et al. (2016a). DNA methylation signatures of chronic low-grade inflammation are associated with complex diseases. Genome Biol 17, 255.
  • Ligthart, S., Steenaard, R.V., Peters, M.J., van Meurs, J.B.J., Sijbrands, E.J.G., Uitterlinden, A.G., Bonder, M.J., Hofman, A., Franco, O.H., Dehghan, A., et al. (2016b). Tobacco smoking is associated with DNA methylation of diabetes susceptibility genes. Diabetologia 59, 998-1006.
  • Lin, B.D., Hottenga, J.J., Abdellaoui, A., Dolan, C.V., de Geus, E.J., Kluft, C., Boomsma, D.I., and Willemsen, G. (2016a). Causes of variation in the neutrophil-lymphocyte and platelet-lymphocyte ratios: a twin-family study. Biomark Med 10, 10.
  • Lin, B.D., Willemsen, G., Abdellaoui, A., Bartels, M., Ehli, E.A., Davies, G.E., Boomsma, D.I., and Hottenga, J.J. (2016b). The Genetic Overlap Between Hair and Eye Color. Twin Research and Human Genetics 19, 595-599.
  • Liu, F., Hamer, M.A., Deelen, J., Lall, J.S., Jacobs, L., van Heemst, D., Murray, P.G., Wollstein, A., de Craen, A.J.M., Uh, H.W., et al. (2016). The MC1R Gene and Youthful Looks. Curr Biol 26, 1213-1220.
  • Maas, R.P.P.W.M., Schieving, J.H., Schouten, M., Kamsteeg, E.J., and van de Warrenburg, B.P.C. (2016). The Genetic Homogeneity of CAMS Syndrome: Four New Patients With the c.2452G > A (p.Glu818Lys) Mutation in the ATP1A3 Gene. Pediatr Neurol 59, 71-75.
  • Mbakwa, C.A., Scheres, L., Penders, J., Mommers, M., Thijs, C., and Arts, I.C.W. (2016). Early Life Antibiotic Exposure and Weight Development in Children. J Pediatr 176, 105-113.
  • Mbarek, H., Dolan, C.V., and Boomsma, D.I. (2016a). Two SNPs Associated With Spontaneous Dizygotic Twinning: Effect Sizes and How We Communicate Them. Twin Research and Human Genetics 19, 418-421.
  • Mbarek, H., Steinberg, S., Nyholt, D.R., Gordon, S.D., Miller, M.B., McRae, A.F., Hottenga, J.J., Day, F.R., Willemsen, G., de Geus, E.J., et al. (2016b). Identification of Common Genetic Variants Influencing Spontaneous Dizygotic Twinning and Female Fertility. Am J Hum Genet 98, 898-908.
  • Merino-Martinez, R., Norlin, L., van Enckevort, D., Anton, G., Schuffenhauer, S., Silander, K., Mook, L., Holub, P., Bild, R., Swertz, M., et al. (2016). Toward Global Biobank Integration by Implementation of the Minimum Information About BIobank Data Sharing (MIABIS 2.0 Core). Biopreserv Biobank 14, 298-306.
  • Middeldorp, C.M., Hammerschlag, A.R., Ouwens, K.G., Groen-Blokhuis, M.M., St Pourcain, B., Greven, C.U., Pappa, I., Tiesler, C.M.T., Ang, W., Nolte, I.M., et al. (2016). A Genome-Wide Association Meta-Analysis of Attention-Deficit/Hyperactivity Disorder Symptoms in Population-Based Pediatric Cohorts. Journal of the American Academy of Child and Adolescent Psychiatry 55, 896-905.
  • Milaneschi, Y., Lamers, F., Peyrot, W.J., Abdellaoui, A., Willemsen, G., Hottenga, J.J., Jansen, R., Mbarek, H., Dehghan, A., Lu, C., et al. (2016). Polygenic dissection of major depression clinical heterogeneity. Molecular Psychiatry 21, 516-522.
  • Milano, A., Blom, M.T., Lodder, E.M., van Hoeijen, D.A., Barc, J., Koopmann, T.T., Bardai, A., Beekman, L., Lichtner, P., van den Berg, M.P., et al. (2016). Sudden Cardiac Arrest and Rare Genetic Variants in the Community. Circulation - Cardiovascular Genetics 9, 147-153.
  • Minikel, E.V., Vallabh, S.M., Lek, M., Estrada, K., Samocha, K.E., Sathirapongsasuti, J.F., McLean, C.Y., Tung, J.Y., Yu, L.P.C., Gambetti, P., et al. (2016). Quantifying prion disease penetrance using large population control cohorts. Sci Transl Med 8, 12.
  • Monlong J., M., C., Rouleau, G., Cossette, P., Girard, S.L., Bourque, G. (2016). Human copy number variants are enriched in regions of low-mappability. BioRxiv.
  • Mostert, J.C., Shumskaya, E., Mennes, M., Onnink, A.M.H., Hoogman, M., Kan, C.C., Vasquez, A.A., Buitelaar, J., Franke, B., and Norris, D.G. (2016). Characterising resting-state functional connectivity in a large sample of adults with ADHD. Progress in Neuro-Psychopharmacology & Biological Psychiatry 67, 82-91.
  • Nieuwboer, H.A., Pool, R., Dolan, C.V., Boomsma, D.I., and Nivard, M.G. (2016). GWIS: Genome-Wide Inferred Statistics for Functions of Multiple Phenotypes. Am J Hum Genet 99, 917-927.
  • Nivard, M.G., Middeldorp, C.M., Lubke, G., Hottenga, J.J., Abdellaoui, A., Boomsma, D.I., and Dolan, C.V. (2016). Detection of gene-environment interaction in pedigree data using genome-wide genotypes. European Journal of Human Genetics 24, 1803-1809.
  • Nygaard, M., Debrabant, B., Tan, Q.H., Deelen, J., Andersen-Ranberg, K., de Craen, A.J.M., Beekman, M., Jeune, B., Slagboom, P.E., Christensen, K., et al. (2016). Copy number variation associates with mortality in long-lived individuals: a genome-wide assessment. Aging Cell 15, 49-55.
  • Okbay, A., Beauchamp, J.P., Fontana, M.A., Lee, J.J., Pers, T.H., Rietveld, C.A., Turley, P., Chen, G.B., Emilsson, V., Meddens, S.F.W., et al. (2016). Genome-wide association study identifies 74 loci associated with educational attainment. Nature 533, 539-542.
  • Onnink, A.M.H., Franke, B., van Hulzen, K., Zwiers, M.P., Mostert, J.C., Schene, A.H., Heslenfeld, D.J., Oosterlaan, J., Hoekstra, P.J., Hartman, C.A., et al. (2016). Enlarged striatal volume in adults with ADHD carrying the 9-6 haplotype of the dopamine transporter gene DAT1. J Neural Transm 123, 905-915.
  • Otowa, T., Hek, K., Lee, M., Byrne, E.M., Mirza, S.S., Nivard, M.G., Bigdeli, T., Aggen, S.H., Adkins, D., Wolen, A., et al. (2016). Meta-analysis of genome-wide association studies of anxiety disorders. Mol Psychiatry 21, 1485.
  • Pang, C., van Enckevort, D., de Haan, M., Kelpin, F., Jetten, J., Hendriksen, D., de Boer, T., Charbon, B., Winder, E., van der Velde, K.J., et al. (2016). MOLGENIS/connect: a system for semi-automatic integration of heterogeneous phenotype data with applications in biobanks. Bioinformatics 32, 2176-2183.
  • Pankratz, N., Schick, U.M., Zhou, Y., Zhou, W., Ahluwalia, T.S., Allende, M.L., Auer, P.L., Bork-Jensen, J., Brody, J.A., Chen, M.H., et al. (2016). Meta-analysis of rare and common exome chip variants identifies S1PR4 and other loci influencing blood cell traits. Nature Genetics 48, 867-876.
  • Pelttari, L.M., Khan, S., Vuorela, M., Kiiski, J.I., Vilske, S., Nevanlinna, V., Ranta, S., Schleutker, J., Winqvist, R., Kallioniemi, A., et al. (2016). RAD51B in Familial Breast Cancer. PLoS One 11, e0153788.
  • Peters, M.J., Ramos, Y.F., den Hollander, W., Schiphof, D., Hofman, A., Uitterlinden, A.G., Oei, E.H., Slagboom, P.E., Kloppenburg, M., Bloem, J.L., et al. (2016). Associations between joint effusion in the knee and gene expression levels in the circulation: a meta-analysis. F1000Res 5, 109.
  • Petridis, C., Brook, M.N., Shah, V., Kohut, K., Gorman, P., Caneppele, M., Levi, D., Papouli, E., Orr, N., Cox, A., et al. (2016). Genetic predisposition to ductal carcinoma in situ of the breast. Breast Cancer Res 18, 22.
  • Pirastu, N., Kooyman, M., Robino, A., van der Spek, A., Navarini, L., Amin, N., Karssen, L.C., van Duijn, C.M., and Gasparini, P. (2016a). Non-additive genome-wide association scan reveals a new gene associated with habitual coffee consumption. Sci Rep 6, 31590.
  • Pirastu, N., Kooyman, M., Traglia, M., Robino, A., Willems, S.M., Pistis, G., Amin, N., Sala, C., Karssen, L.C., van Duijn, C.M., et al. (2016b). A Genome-Wide Association Study in isolated populations reveals new genes associated to common food likings. Rev Endocr Metab Disord 17, 209-219.
  • Pitsiladis, Y.P., Tanaka, M., Eynon, N., Bouchard, C., North, K.N., Williams, A.G., Collins, M., Moran, C.N., Britton, S.L., Fuku, N., et al. (2016). Athlome Project Consortium: a concerted effort to discover genomic and other "omic" markers of athletic performance. Physiol Genomics 48, 183-190.
  • Plantinga, M., Birnie, E., Abbott, K.M., Sinke, R.J., Lucassen, A.M., Schuurmans, J., Kaplan, S., Verkerk, M.A., Ranchor, A.V., and van Langen, I.M. (2016). Population-based preconception carrier screening: how potential users from the general population view a test for 50 serious diseases. European Journal of Human Genetics 24, 1417-1423.
  • Poortvliet, R.K.E., van Peet, P.G., de Craen, A.J.M., Mertens, B.J.A., Mooijaart, S.P., Wijsman, L.W., Drewes, Y.M., Ford, I., Sattar, N., Jukema, J.W., et al. (2016). Risk stratification and treatment effect of statins in secondary cardiovascular prevention in old age: Additive value of N-terminal pro-B-type natriuretic peptide. Eur J Prev Cardiol 23, 1104-1113.
  • Praagman, J., Adolphs, A.P.J., van Rossum, C.T.M., Sluijs, I., van der Schouw, Y.T., and Beulens, J.W.J. (2016). Reproducibility and relative validity of a FFQ to estimate the intake of fatty acids. Br J Nutr 115, 2154-2161.
  • Quteineh, L., Preisig, M., Rivera, M., Milaneschi, Y., Castelao, E., Gholam-Rezaee, M., Vandenberghe, F., Saigi-Morgui, N., Delacretaz, A., Cardinaux, J.R., et al. (2016). Association of CRTC1 polymorphisms with obesity markers in subjects from the general population with lifetime depression. Journal of Affective Disorders 198, 43-49.
  • Rebbeck, T.R., Friebel, T.M., Mitra, N., Wan, F., Chen, S., Andrulis, I.L., Apostolou, P., Arnold, N., Arun, B.K., Barrowdale, D., et al. (2016). Inheritance of deleterious mutations at both BRCA1 and BRCA2 in an international sample of 32,295 women. Breast Cancer Research 18, 112.
  • Rest van de, O., Schutte, B.A.M., Deelen, J., Stassen, S.A.M., van den Akker, E.B., van Heemst, D., Dibbets-Schneider, P., van Dipten-Van Der Veen, R.A., Kelderman, M., Hankemeier, T., et al. (2016). Metabolic effects of a 13-weeks lifestyle intervention in older adults: The Growing Old Together Study. Aging-US 8, 111-126.
  • Ricano-Ponce, I., Zhernakova, D.V., Deelen, P., Luo, O., Li, X.W., Isaacs, A., Karjalainen, J., di Tommaso, J., Borek, Z.A., Zorro, M.M., et al. (2016). Refined mapping of autoimmune disease associated genetic variants with gene expression suggests an important role for non-coding RNAs. Journal of Autoimmunity 68, 62-74.
  • Roi la, C., Kretschmer, T., Dijkstra, J.K., Veenstra, R., and Oldehinkel, A.J. (2016). Disparities in Depressive Symptoms Between Heterosexual and Lesbian, Gay, and Bisexual Youth in a Dutch Cohort: The TRAILS Study. J Youth Adolesc 45, 440-456.
  • Rooij van, I.A., van der Zanden, L.F., Bongers, E.M., Renkema, K.Y., Wijers, C.H., Thonissen, M., Dokter, E.M., Marcelis, C.L., de Blaauw, I., Wijnen, M.H., et al. (2016). AGORA, a data- and biobank for birth defects and childhood cancer. Birth defects research Part A, Clinical and molecular teratology 106, 675-684.
  • Roos, L., van Dongen, J., Bell, C.G., Burri, A., Deloukas, P., Boomsma, D.I., Spector, T.D., and Bell, J.T. (2016). Integrative DNA methylome analysis of pan-cancer biomarkers in cancer discordant monozygotic twin-pairs. Clinical Epigenetics 8, 7.
  • Schirmer, M., Smeekens, S.P., Vlamakis, H., Jaeger, M., Oosting, M., Franzosa, E.A., Ter Horst, R., Jansen, T., Jacobs, L., Bonder, M.J., et al. (2016). Linking the Human Gut Microbiome to Inflammatory Cytokine Production Capacity. Cell 167, 1125-1136 e1128.
  • Schutte, B.A.M., van den Akker, E.B., Deelen, J., van de Rest, O., van Heemst, D., Feskens, E.J.M., Beekman, M., and Slagboom, P.E. (2016). The effect of standardized food intake on the association between BMI and 1H-NMR metabolites. Sci Rep 6, 38980.
  • Shi, J., Zhang, Y., Zheng, W., Michailidou, K., Ghoussaini, M., Bolla, M.K., Wang, Q., Dennis, J., Lush, M., Milne, R.L., et al. (2016). Fine-scale mapping of 8q24 locus identifies multiple independent risk variants for breast cancer. Int J Cancer 139, 1303-1317.
  • Silvestri, V., Barrowdale, D., Mulligan, A.M., Neuhausen, S.L., Fox, S., Karlan, B.Y., Mitchell, G., James, P., Thull, D.L., Zorn, K.K., et al. (2016). Male breast cancer in BRCA1 and BRCA2 mutation carriers: pathology data from the Consortium of Investigators of Modifiers of BRCA1/2. Breast Cancer Research 18, 15.
  • Slieker, R.C., van Iterson, M., Luijk, R., Beekman, M., Zhernakova, D.V., Moed, M.H., Mei, H.L., van Galen, M., Deelen, P., Bonder, M.J., et al. (2016). Age-related accrual of methylomic variability is linked to fundamental ageing mechanisms. Genome Biol 17, 13.
  • Sluik, D., Geelen, A., de Vries, J.H.M., Eussen, S., Brants, H.A.M., Meijboom, S., van Dongen, M., Bueno-de-Mesquita, H.B., Wijckmans-Duysens, N.E.G., van 't Veer, P., et al. (2016). A national FFQ for the Netherlands (the FFQ-NL 1.0): validation of a comprehensive FFQ for adults. Br J Nutr 116, 913-923.
  • Stringer, S., Minica, C.C., Verweij, K.J.H., Mbarek, H., Bernard, M., Derringer, J., van Eijk, K.R., Isen, J.D., Loukola, A., Maciejewski, D.F., et al. (2016). Genome-wide association study of lifetime cannabis use based on a large meta-analytic sample of 32330 subjects from the International Cannabis Consortium. Translational Psychiatry 6, 9.
  • Surendran, P., Drenos, F., Young, R., Warren, H., Cook, J.P., Manning, A.K., Grarup, N., Sim, X., Barnes, D.R., Witkowska, K., et al. (2016). Trans-ancestry meta-analyses identify rare and common variants associated with blood pressure and hypertension. Nature Genetics 48, 1151-1161.
  • Thesing, C., Bot, M., Penninx, B., and Giltay, E. (2016). Polyunsaturated fatty acids in major depressive disorders. Bipolar Disord 18, 139-140.
  • Tilborg van, T.C., Broekmans, F.J., Pijpe, A., Schrijver, L.H., Mooij, T.M., Oosterwijk, J.C., Verhoef, S., Garcia, E.B.G., van Zelst-Stams, W.A., Adank, M.A., et al. (2016). Do BRCA1/2 mutation carriers have an earlier onset of natural menopause? Menopause-J N Am Menopause Soc 23, 903-910.
  • Treur, J.L., Taylor, A.E., Ware, J.J., Nivard, M.G., Neale, M.C., McMahon, G., Hottenga, J.J., Baselmans, B.M., Boomsma, D.I., Munafo, M.R., et al. (2016). Smoking and caffeine consumption: a genetic analysis of their association. Addiction Biology, Epub ahead of print.
  • Udden, J., Snijders, T.M., Fisher, S.E., and Hagoort, P. (2016). A common variant of the CNTNAP2 gene is associated with structural variation in the left superior occipital gyrus. Brain Lang, Epub ahead of print.
  • Valls Seron, M., Ferwerda, B., Engelen-Lee, J., Geldhoff, M., Jaspers, V., Zwinderman, A.H., Tanck, M.W., Baas, F., van der Ende, A., Brouwer, M.C., et al. (2016). V-akt murine thymoma viral oncogene homolog 3 (AKT3) contributes to poor disease outcome in humans and mice with pneumococcal meningitis. Acta Neuropathol Commun 4, 50.
  • van Zon, S.K., Scholtens, S., Reijneveld, S.A., Smidt, N., and Bultmann, U. (2016). Active recruitment and limited participant-load related to high participation in large population-based biobank studies. J Clin Epidemiol 78, 52-62.
  • Vinciotti, V., Wit, E.C., Jansen, R., de Geus, E., Penninx, B.W.J.H., Boomsma, D.I., and 't Hoen, P.A.C. (2016). Consistency of biological networks inferred from microarray and sequencing data. BMC Bioinformatics 17, 10.
  • Vos, J.R., Oosterwijk, J.C., Aalfs, C.M., Rookus, M.A., Adank, M.A., van der Hout, A.H., van Asperen, C.J., Garcia, E.B.G., Mensenkamp, A.R., Jager, A., et al. (2016). Bias Explains Most of the Parent-of-Origin Effect on Breast Cancer Risk in BRCA1/2 Mutation Carriers. Cancer Epidemiology Biomarkers & Prevention 25, 1251-1258.
  • Vries de, P.S., Chasman, D.I., Sabater-Lleal, M., Chen, M.H., Huffman, J.E., Steri, M., Tang, W.H., Teumer, A., Marioni, R.E., Grossmann, V., et al. (2016). A meta-analysis of 120 246 individuals identifies 18 new loci for fibrinogen concentration. Human Molecular Genetics 25, 358-370.
  • Vrijen, C., Hartman, C.A., and Oldehinkel, A.J. (2016). Slow identification of facial happiness in early adolescence predicts onset of depression during 8 years of follow-up. Eur Child Adolesc Psychiatry 25, 1255-1266.
  • Ware, J.J., Chen, X.N., Vink, J., Loukola, A., Minica, C., Pool, R., Milaneschi, Y., Mangino, M., Menni, C., Chen, J.C., et al. (2016). Genome-Wide Meta-Analysis of Cotinine Levels in Cigarette Smokers Identifies Locus at 4q13.2. Sci Rep 6, 20092.
  • Warrenburg van de, B.P., Schouten, M.I., de Bot, S.T., Vermeer, S., Meijer, R., Pennings, M., Gilissen, C., Willemsen, M.A., Scheffer, H., and Kamsteeg, E.J. (2016). Clinical exome sequencing for cerebellar ataxia and spastic paraplegia uncovers novel gene-disease associations and unanticipated rare disorders. European Journal of Human Genetics 24, 1460-1466.
  • Weiss, A., Baselmans, B.M.L., Hofer, E., Yang, J.Y., Okbay, A., Lind, P.A., Miller, M.B., Nolte, I.M., Zhao, W., Hagenaars, S.P., et al. (2016). 1 Personality Polygenes, Positive Affect, and Life Satisfaction. Twin Research and Human Genetics 19, 407-417.
  • Willemse, E.A.J., Durieux-Lu, S., van der Flier, W.M., Pijnenburg, Y.A.L., de Jonge, R., and Teunissen, C.E. (2016). Stability of Progranulin Under Pre-Analytical Conditions in Serum and Cerebrospinal Fluid. J Alzheimers Dis 53, 107-116.
  • Winter de, A.F., Visser, L., Verhulst, F.C., Vollebergh, W.A.M., and Reijneveld, S.A. (2016). Longitudinal patterns and predictors of multiple health risk behaviors among adolescents: The TRAILS study. Prev Med 84, 76-82.
  • Woo, Y.J., Wang, T., Guadalupe, T., Nebel, R.A., Vino, A., Del Bene, V.A., Molholm, S., Ross, L.A., Zwiers, M.P., Fisher, S.E., et al. (2016). A Common CYFIP1 Variant at the 15q11.2 Disease Locus Is Associated with Structural Variation at the Language-Related Left Supramarginal Gyrus. PLoS One 11, e0158036.
  • Wyszynski, A., Hong, C.C., Lam, K., Michailidou, K., Lytle, C., Yao, S., Zhang, Y., Bolla, M.K., Wang, Q., Dennis, J., et al. (2016). An intergenic risk locus containing an enhancer deletion in 2q35 modulates breast cancer risk by deregulating IGFBP5 expression. Human Molecular Genetics 25, 3863-3876.
  • Yu, B., Pulit, S.L., Hwang, S.J., Brody, J.A., Amin, N., Auer, P.L., Bis, J.C., Boerwinkle, E., Burke, G.L., Chakravarti, A., et al. (2016). Rare Exome Sequence Variants in CLCN6 Reduce Blood Pressure Levels and Hypertension Risk. Circulation - Cardiovascular Genetics 9, 64-70.
  • Zayats, T., Jacobsen, K.K., Kleppe, R., Jacob, C.P., Kittel-Schneider, S., Ribases, M., Ramos-Quiroga, J.A., Richarte, V., Casas, M., Mota, N.R., et al. (2016). Exome chip analyses in adult attention deficit hyperactivity disorder. Translational Psychiatry 6, e923.
  • Zeng, C., Guo, X.Y., Long, J.R., Kuchenbaecker, K.B., Droit, A., Michailidou, K., Ghoussaini, M., Kar, S., Freeman, A., Hopper, J.L., et al. (2016). Identification of independent association signals and putative functional variants for breast cancer risk through fine-scale mapping of the 12p11 locus. Breast Cancer Research 18, 64.
  • Zhao, Z.G., Wen, W.Q., Michailidou, K., Bolla, M.K., Wang, Q., Zhang, B., Long, J.R., Shu, X.O., Schmidt, M.K., Milne, R.L., et al. (2016). Association of genetic susceptibility variants for type 2 diabetes with breast cancer risk in women of European ancestry. Cancer Causes Control 27, 679-693.