561 results on '"Penninx, BWJH"'
Search Results
52. Genetic architecture of subcortical brain structures in 38,851 individuals
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SATIZABAL, C. L., ADAMS, H. H. H., HIBAR, D. P., WHITE, C. C., KNOL, M. J., STEIN, J. L., Scholz, M., Sargurupremraj, Muralidharan, JAHANSHAD, N., ROSHCHUPKIN, G. V., SMITH, A. V., BIS, J. C., JIAN, X., LUCIANO, M., Hofer, E., TEUMER, A., VAN DER LEE, S. J., Yang, J., YANEK, L. R., LEE, T. V., Li, S., Hu, Y., KOH, J. Y., EICHER, J. D., DESRIVIERES, S., ARIAS-VASQUEZ, A., Chauhan, G., ATHANASIU, L., RENTERIA, M. E., Kim, S., HOEHN, D., ARMSTRONG, N. J., Chen, Q., HOLMES, A. J., DEN BRABER, A., KLOSZEWSKA, I., Andersson, M., ESPESETH, T., Grimm, O., ABRAMOVIC, L., ALHUSAINI, S., MILANESCHI, Y., PAPMEYER, M., AXELSSON, T., Ehrlich, S., ROIZ-SANTIANEZ, R., KRAEMER, B., HABERG, A. K., JONES, H. J., Pike, G. B., STEIN, D. J., Stevens, A., BRALTEN, J., VERNOOIJ, M. W., HARRIS, T. B., FILIPPI, I., WITTE, A. V., Guadalupe, T., WITTFELD, K., MOSLEY, T. H., BECKER, J. T., DOAN, N. T., HAGENAARS, S. P., SABA, Y., CUELLAR-PARTIDA, G., Amin, N., HILAL, S., NHO, K., MIRZA-SCHREIBER, N., ARFANAKIS, K., BECKER, D. M., Ames, D., GOLDMAN, A. L., LEE, P. H., Boomsma, D. I., LOVESTONE, S., GIDDALURU, S., LE HELLARD, S., Mattheisen, M., BOHLKEN, M. M., KASPERAVICIUTE, D., SCHMAAL, L., LAWRIE, S. M., Agartz, I., Walton, E., TORDESILLAS-GUTIERREZ, D., DAVIES, G. E., Shin, J., IPSER, J. C., VINKE, L. N., HOOGMAN, M., Jia, T., BURKHARDT, R., Klein, M., Crivello, Fabrice, JANOWITZ, D., CARMICHAEL, O., HAUKVIK, U. K., ARIBISALA, B. S., Schmidt, H., STRIKE, L. T., CHENG, C. Y., RISACHER, S. L., PUTZ, B., FLEISCHMAN, D. A., ASSAREH, A. A., MATTAY, V. S., BUCKNER, R. L., MECOCCI, P., DALE, A. M., Cichon, S., BOKS, M. P., MATARIN, M., PENNINX, Bwjh, CALHOUN, V. D., CHAKRAVARTY, M. M., MARQUAND, A. F., MACARE, C., KHARABIAN MASOULEH, S., OOSTERLAAN, J., Amouyel, P., HEGENSCHEID, K., ROTTER, J. I., SCHORK, A. J., LIEWALD, D. C. M., DE ZUBICARAY, G. I., WONG, T. Y., Shen, L., SAMANN, P. G., BRODATY, H., ROFFMAN, J. L., DE GEUS, E. J. C., TSOLAKI, M., ERK, S., VAN EIJK, K. R., CAVALLERI, G. L., VAN DER WEE, N. J. A., MCINTOSH, A. M., GOLLUB, R. L., BULAYEVA, K. B., Bernard, M., RICHARDS, J. S., HIMALI, J. J., Loeffler, M., ROMMELSE, N., Hoffmann, W., WESTLYE, L. T., VALDES HERNANDEZ, M. C., HANSELL, N. K., VAN ERP, T. G. M., Wolf, C., KWOK, J. B. J., Vellas, B., Heinz, A., OLDE LOOHUIS, L. M., DELANTY, N., HO, B. C., CHING, C. R. K., SHUMSKAYA, E., Singh, B., Hofman, A., VAN DER MEER, D., Homuth, G., PSATY, B. M., BASTIN, M. E., MONTGOMERY, G. W., FOROUD, T. M., REPPERMUND, S., HOTTENGA, J. J., Simmons, A., Meyer-Lindenberg, A., Cahn, W., WHELAN, C. D., VAN DONKELAAR, M. M. J., Yang, Q., HOSTEN, N., GREEN, R. C., THALAMUTHU, A., MOHNKE, S., HULSHOFF POL, H. E., Lin, H., JACK, C. R., Jr., SCHOFIELD, P. R., MUHLEISEN, T. W., MAILLARD, P., POTKIN, S. G., Wen, W., FLETCHER, E., TOGA, A. W., Gruber, O., HUENTELMAN, M., DAVEY SMITH, G., LAUNER, L. J., Nyberg, L., JONSSON, E. G., CRESPO-FACORRO, B., KOEN, N., GREVE, D. N., UITTERLINDEN, A. G., WEINBERGER, D. R., STEEN, V. M., FEDKO, I. O., GROENEWOLD, N. A., Niessen, W. J., TORO, R., Tzourio, Christophe, LONGSTRETH, W. T., Jr., SMOLLER, J. W., VAN TOL, M. J., SUSSMANN, J. E., PAUS, T., Lemaitre, H., SCHROETER, M. L., Mazoyer, B., ANDREASSEN, O. A., Holsboer, F., DEPONDT, C., VELTMAN, D. J., Turner, J. A., PAUSOVA, Z., Schumann, G., Van Rooij, D., Djurovic, S., DEARY, I. J., MCMAHON, K. L., MULLER-MYHSOK, B., BROUWER, R. M., Soininen, H., Pandolfo, M., WASSINK, T. H., CHEUNG, J. W., WOLFERS, T., MARTINOT, J. L., ZWIERS, M. P., Nauck, M., Melle, I., Martin, N. G., Kanai, R., WESTMAN, E., KAHN, R. S., Sisodiya, S. M., White, T., SAREMI, A., van Bokhoven, H., Brunner, H. G., VOLZKE, H., WRIGHT, M. J., VAN 'T ENT, D., NOTHEN, M. M., OPHOFF, R. A., BUITELAAR, J. K., Fernandez, G., SACHDEV, P. S., Rietschel, M., VAN HAREN, N. E. M., Fisher, S. E., BEISER, A. S., Francks, C., SAYKIN, A. J., MATHER, K. A., ROMANCZUK-SEIFERTH, N., HARTMAN, C. A., DeStefano, A. L., HESLENFELD, D. J., WEINER, M. W., Walter, H., HOEKSTRA, P. J., NYQUIST, P. A., Franke, B., BENNETT, D. A., Grabe, H. J., JOHNSON, A. D., Chen, C., VAN DUIJN, C. M., LOPEZ, O. L., FORNAGE, M., WARDLAW, J. M., Schmidt, R., DeCarli, C., DE JAGER, P. L., VILLRINGER, A., Debette, Stephanie, GUDNASON, V., Medland, S. E., SHULMAN, J. M., THOMPSON, P. M., SESHADRI, S., IKRAM, M. K., Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut de Neurosciences cognitives et intégratives d'Aquitaine (INCIA), and Université Bordeaux Segalen - Bordeaux 2-Université Sciences et Technologies - Bordeaux 1-SFR Bordeaux Neurosciences-Centre National de la Recherche Scientifique (CNRS)
- Subjects
nervous system ,VINTAGE ,[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie ,HEALTHY - Abstract
Subcortical brain structures are integral to motion, consciousness, emotions and learning. We identified common genetic variation related to the volumes of the nucleus accumbens, amygdala, brainstem, caudate nucleus, globus pallidus, putamen and thalamus, using genome-wide association analyses in almost 40,000 individuals from CHARGE, ENIGMA and UK Biobank. We show that variability in subcortical volumes is heritable, and identify 48 significantly associated loci (40 novel at the time of analysis). Annotation of these loci by utilizing gene expression, methylation and neuropathological data identified 199 genes putatively implicated in neurodevelopment, synaptic signaling, axonal transport, apoptosis, inflammation/infection and susceptibility to neurological disorders. This set of genes is significantly enriched for Drosophila orthologs associated with neurodevelopmental phenotypes, suggesting evolutionarily conserved mechanisms. Our findings uncover novel biology and potential drug targets underlying brain development and disease.
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- 2019
53. Accelerating research on biological aging and mental health: Current challenges and future directions
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Han, LKM, Verhoeven, JE, Tyrka, AR, Penninx, BWJH, Wolkowitz, OM, Mansson, KNT, Lindqvist, D, Boks, MP, Revesz, D, Mellon, SH, Picard, M, Han, LKM, Verhoeven, JE, Tyrka, AR, Penninx, BWJH, Wolkowitz, OM, Mansson, KNT, Lindqvist, D, Boks, MP, Revesz, D, Mellon, SH, and Picard, M
- Abstract
Aging is associated with complex biological changes that can be accelerated, slowed, or even temporarily reversed by biological and non-biological factors. This article focuses on the link between biological aging, psychological stressors, and mental illness. Rather than comprehensively reviewing this rapidly expanding field, we highlight challenges in this area of research and propose potential strategies to accelerate progress in this field. This effort requires the interaction of scientists across disciplines - including biology, psychiatry, psychology, and epidemiology; and across levels of analysis that emphasize different outcome measures - functional capacity, physiological, cellular, and molecular. Dialogues across disciplines and levels of analysis naturally lead to new opportunities for discovery but also to stimulating challenges. Some important challenges consist of 1) establishing the best objective and predictive biological age indicators or combinations of indicators, 2) identifying the basis for inter-individual differences in the rate of biological aging, and 3) examining to what extent interventions can delay, halt or temporarily reverse aging trajectories. Discovering how psychological states influence biological aging, and vice versa, has the potential to create novel and exciting opportunities for healthcare and possibly yield insights into the fundamental mechanisms that drive human aging.
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- 2019
54. Evidence for increased genetic risk load for major depression in patients assigned to electroconvulsive therapy
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Foo, JC, Streit, F, Frank, J, Witt, SH, Treutlein, J, Baune, BT, Moebus, S, Joeckel, K-H, Forstner, AJ, Noethen, MM, Rietschel, M, Sartorius, A, Kranaster, L, Wray, NR, Ripke, S, Mattheisen, M, Trzaskowski, M, Byrne, EM, Abdellaoui, A, Adams, MJ, Agerbo, E, Air, TM, Andlauer, TFM, Bacanu, S-A, Baekvad-Hansen, M, Beekman, ATF, Bigdeli, TB, Binder, EB, Blackwood, DHR, Bryois, J, Buttenschon, HN, Bybjerg-Grauholm, J, Cai, N, Castelao, E, Christensen, JH, Clarke, T-K, Coleman, JRI, Colodro-Conde, L, Couvy-Duchesne, B, Craddock, N, Crawford, GE, Davies, G, Deary, IJ, Degenhardt, F, Derks, EM, Direk, N, Dolan, CV, Dunn, EC, Eley, TC, Escott-Price, V, Kiadeh, FFH, Finucane, HK, Gaspar, HA, Gill, M, Goes, FS, Gordon, SD, Grove, J, Hall, LS, Hansen, CS, Hansen, TF, Herms, S, Hickie, IB, Hoffmann, P, Homuth, G, Horn, C, Hottenga, J-J, Hougaard, DM, Ising, M, Jansen, R, Jones, I, Jones, LA, Jorgenson, E, Knowles, JA, Kohane, IS, Kraft, J, Kretzschmar, WW, Krogh, J, Kutalik, Z, Li, Y, Lind, PA, MacIntyre, DJ, MacKinnon, DF, Maier, RM, Maier, W, Marchini, J, Mbarek, H, McGrath, P, McGuffin, P, Medland, SE, Mehta, D, Middeldorp, CM, Mihailov, E, Milaneschi, Y, Milani, L, Mondimore, FM, Montgomery, GW, Mostafavi, S, Mullins, N, Nauck, M, Ng, B, Nivard, MG, Nyholt, DR, O'Reilly, PF, Oskarsson, H, Owen, MJ, Painter, JN, Pedersen, CB, Pedersen, MG, Peterson, RE, Pettersson, E, Peyrot, WJ, Pistis, G, Posthuma, D, Quiroz, JA, Qvist, P, Rice, JP, Riley, BP, Rivera, M, Mirza, SS, Schoevers, R, Schulte, EC, Shen, L, Shi, J, Shyn, SI, Sigurdsson, E, Sinnamon, GCB, Smit, JH, Smith, DJ, Stefansson, H, Steinberg, S, Strohmaier, J, Tansey, KE, Teismann, H, Teumer, A, Thompson, W, Thomson, PA, Thorgeirsson, TE, Traylor, M, Trubetskoy, V, Uitterlinden, AG, Umbricht, D, Van der Auwera, S, van Hemert, AM, Viktorin, A, Visscher, PM, Wang, Y, Webb, BT, Weinsheimer, SM, Wellmann, J, Willemsen, G, Wu, Y, Xi, HS, Yang, J, Zhang, F, Arolt, V, Berger, K, Boomsma, DI, Cichon, S, Dannlowski, U, de Geus, EJC, DePaulo, JR, Domenici, E, Domschke, K, Esko, T, Grabe, HJ, Hamilton, SP, Hayward, C, Heath, AC, Kendler, KS, Kloiber, S, Lewis, G, Li, QS, Lucae, S, Madden, PAF, Magnusson, PK, Martin, NG, McIntosh, AM, Metspalu, A, Mors, O, Mortensen, PB, Mueller-Myhsok, B, Nordentoft, M, O'Donovan, MC, Paciga, SA, Pedersen, NL, Penninx, BWJH, Perlis, RH, Porteous, DJ, Potash, JB, Preisig, M, Schaefer, C, Schulze, TG, Smoller, JW, Stefansson, K, Tiemeier, H, Uher, R, Voelzke, H, Weissman, MM, Werge, T, Lewis, CM, Levinson, DF, Breen, G, Borglum, AD, Sullivan, PF, Foo, JC, Streit, F, Frank, J, Witt, SH, Treutlein, J, Baune, BT, Moebus, S, Joeckel, K-H, Forstner, AJ, Noethen, MM, Rietschel, M, Sartorius, A, Kranaster, L, Wray, NR, Ripke, S, Mattheisen, M, Trzaskowski, M, Byrne, EM, Abdellaoui, A, Adams, MJ, Agerbo, E, Air, TM, Andlauer, TFM, Bacanu, S-A, Baekvad-Hansen, M, Beekman, ATF, Bigdeli, TB, Binder, EB, Blackwood, DHR, Bryois, J, Buttenschon, HN, Bybjerg-Grauholm, J, Cai, N, Castelao, E, Christensen, JH, Clarke, T-K, Coleman, JRI, Colodro-Conde, L, Couvy-Duchesne, B, Craddock, N, Crawford, GE, Davies, G, Deary, IJ, Degenhardt, F, Derks, EM, Direk, N, Dolan, CV, Dunn, EC, Eley, TC, Escott-Price, V, Kiadeh, FFH, Finucane, HK, Gaspar, HA, Gill, M, Goes, FS, Gordon, SD, Grove, J, Hall, LS, Hansen, CS, Hansen, TF, Herms, S, Hickie, IB, Hoffmann, P, Homuth, G, Horn, C, Hottenga, J-J, Hougaard, DM, Ising, M, Jansen, R, Jones, I, Jones, LA, Jorgenson, E, Knowles, JA, Kohane, IS, Kraft, J, Kretzschmar, WW, Krogh, J, Kutalik, Z, Li, Y, Lind, PA, MacIntyre, DJ, MacKinnon, DF, Maier, RM, Maier, W, Marchini, J, Mbarek, H, McGrath, P, McGuffin, P, Medland, SE, Mehta, D, Middeldorp, CM, Mihailov, E, Milaneschi, Y, Milani, L, Mondimore, FM, Montgomery, GW, Mostafavi, S, Mullins, N, Nauck, M, Ng, B, Nivard, MG, Nyholt, DR, O'Reilly, PF, Oskarsson, H, Owen, MJ, Painter, JN, Pedersen, CB, Pedersen, MG, Peterson, RE, Pettersson, E, Peyrot, WJ, Pistis, G, Posthuma, D, Quiroz, JA, Qvist, P, Rice, JP, Riley, BP, Rivera, M, Mirza, SS, Schoevers, R, Schulte, EC, Shen, L, Shi, J, Shyn, SI, Sigurdsson, E, Sinnamon, GCB, Smit, JH, Smith, DJ, Stefansson, H, Steinberg, S, Strohmaier, J, Tansey, KE, Teismann, H, Teumer, A, Thompson, W, Thomson, PA, Thorgeirsson, TE, Traylor, M, Trubetskoy, V, Uitterlinden, AG, Umbricht, D, Van der Auwera, S, van Hemert, AM, Viktorin, A, Visscher, PM, Wang, Y, Webb, BT, Weinsheimer, SM, Wellmann, J, Willemsen, G, Wu, Y, Xi, HS, Yang, J, Zhang, F, Arolt, V, Berger, K, Boomsma, DI, Cichon, S, Dannlowski, U, de Geus, EJC, DePaulo, JR, Domenici, E, Domschke, K, Esko, T, Grabe, HJ, Hamilton, SP, Hayward, C, Heath, AC, Kendler, KS, Kloiber, S, Lewis, G, Li, QS, Lucae, S, Madden, PAF, Magnusson, PK, Martin, NG, McIntosh, AM, Metspalu, A, Mors, O, Mortensen, PB, Mueller-Myhsok, B, Nordentoft, M, O'Donovan, MC, Paciga, SA, Pedersen, NL, Penninx, BWJH, Perlis, RH, Porteous, DJ, Potash, JB, Preisig, M, Schaefer, C, Schulze, TG, Smoller, JW, Stefansson, K, Tiemeier, H, Uher, R, Voelzke, H, Weissman, MM, Werge, T, Lewis, CM, Levinson, DF, Breen, G, Borglum, AD, and Sullivan, PF
- Abstract
Electroconvulsive therapy (ECT) is the treatment of choice for severe and treatment-resistant depression; disorder severity and unfavorable treatment outcomes are shown to be influenced by an increased genetic burden for major depression (MD). Here, we tested whether ECT assignment and response/nonresponse are associated with an increased genetic burden for major depression (MD) using polygenic risk score (PRS), which summarize the contribution of disease-related common risk variants. Fifty-one psychiatric inpatients suffering from a major depressive episode underwent ECT. MD-PRS were calculated for these inpatients and a separate population-based sample (n = 3,547 healthy; n = 426 self-reported depression) based on summary statistics from the Psychiatric Genomics Consortium MDD-working group (Cases: n = 59,851; Controls: n = 113,154). MD-PRS explained a significant proportion of disease status between ECT patients and healthy controls (p = .022, R2 = 1.173%); patients showed higher MD-PRS. MD-PRS in population-based depression self-reporters were intermediate between ECT patients and controls (n.s.). Significant associations between MD-PRS and ECT response (50% reduction in Hamilton depression rating scale scores) were not observed. Our findings indicate that ECT cohorts show an increased genetic burden for MD and are consistent with the hypothesis that treatment-resistant MD patients represent a subgroup with an increased genetic risk for MD. Larger samples are needed to better substantiate these findings.
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- 2019
55. The impact of depression and anxiety treatment on biological aging and metabolic stress: study protocol of the Mood treatment with antidepressants or running (MOTAR) study
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Lever-van Milligen, BA, Verhoeven, JE, Schmaal, L, van Velzen, LS, Revesz, D, Black, CN, Han, LKM, Horsfall, M, Batelaan, NM, van Balkom, AJLM, van Schaik, DJF, van Oppen, P, Penninx, BWJH, Lever-van Milligen, BA, Verhoeven, JE, Schmaal, L, van Velzen, LS, Revesz, D, Black, CN, Han, LKM, Horsfall, M, Batelaan, NM, van Balkom, AJLM, van Schaik, DJF, van Oppen, P, and Penninx, BWJH
- Abstract
BACKGROUND: Depressive and anxiety disorders have shown to be associated to premature or advanced biological aging and consequently to adversely impact somatic health. Treatments with antidepressant medication or running therapy are both found to be effective for many but not all patients with mood and anxiety disorders. These interventions may, however, work through different pathophysiological mechanisms and could differ in their impact on biological aging and somatic health. This study protocol describes the design of an unique intervention study that examines whether both treatments are similarly effective in reducing or reversing biological aging (primary outcome), psychiatric status, metabolic stress and neurobiological indicators (secondary outcomes). METHODS: The MOod Treatment with Antidepressants or Running (MOTAR) study will recruit a total of 160 patients with a current major depressive and/or anxiety disorder in a mental health care setting. Patients will receive a 16-week treatment with either antidepressant medication or running therapy (3 times/week). Patients will undergo the treatment of their preference and a subsample will be randomized (1:1) to overcome preference bias. An additional no-disease-no-treatment group of 60 healthy controls without lifetime psychopathology, will be included as comparison group for primary and secondary outcomes at baseline. Assessments are done at week 0 for patients and controls, and at week 16 and week 52 for patients only, including written questionnaires, a psychiatric and medical examination, blood, urine and saliva collection and a cycle ergometer test, to gather information about biological aging (telomere length and telomerase activity), mental health (depression and anxiety disorder characteristics), general fitness, metabolic stress-related biomarkers (inflammation, metabolic syndrome, cortisol) and genetic determinants. In addition, neurobiological alterations in brain processes will be assessed using stru
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- 2019
56. Genome-wide by environment interaction studies of depressive symptoms and psychosocial stress in UK Biobank and Generation Scotland
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Arnau-Soler, A, Macdonald-Dunlop, E, Adams, MJ, Clarke, T-K, MacIntyre, DJ, Milburn, K, Navrady, L, Hayward, C, McIntosh, AM, Thomson, PA, Wray, NR, Ripke, S, Mattheisen, M, Trzaskowski, M, Byrne, EM, Abdellaoui, A, Agerbo, E, Air, TM, Andlauer, TFM, Bacanu, S-A, Baekvad-Hansen, M, Beekman, ATF, Bigdeli, TB, Binder, EB, Blackwood, DHR, Bryois, J, Buttenscon, HN, Bybjerg-Grauholm, J, Cai, N, Castelao, E, Christensen, JH, Coleman, JR, Colodro-Conde, L, Couvy-Duchesne, B, Craddock, N, Rawford, GEC, Davies, G, Deary, IJ, Degenhardt, F, Derks, EM, Direk, N, Dolan, C, Dunn, EC, Eley, TC, Escott-Price, V, Kiadeh, FFH, Finucane, HK, Foo, JC, Forstner, AJ, Frank, J, Gaspar, HA, Gill, M, Goes, FS, Gordon, SD, Grove, J, Hall, LS, Hansen, CS, Hansen, TF, Herms, S, Hickie, IB, Hoffmann, P, Homuth, G, Horn, C, Hottenga, J-J, Hougaard, DM, Ising, M, Jansen, R, Jones, I, Jones, LA, Jorgenson, E, Knowles, JA, Kohane, IS, Kraft, J, Kretzschmar, WW, Krogh, J, Kutalik, Z, Li, Y, Lind, PA, Macintyre, DJ, MacKinnon, DF, Maier, RM, Maier, W, Marchini, J, Mbarek, H, McGrath, P, McGuffin, P, Medland, SE, Mehta, D, Middeldorp, CM, Mihailov, E, Milaneschi, Y, Milani, L, Mondimore, FM, Montgomery, GW, Mostafavi, S, Mullins, N, Nauck, M, Ng, B, Nivard, MG, Nyholt, DR, O'Reilly, PF, Oskarsson, H, Owen, MJ, Painter, JN, Pedersen, CB, Pedersen, MG, Peterson, RE, Pettersson, E, Peyrot, WJ, Pistis, G, Posthuma, D, Quiroz, JA, Qvist, P, Rice, JP, Riley, BP, Rivera, M, Mirza, SS, Schoevers, R, Schulte, EC, Shen, L, Shi, J, Shyn, S, Sigurdsson, E, Sinnamon, GCB, Smit, JH, Smith, DJ, Stefansson, H, Steinberg, S, Streit, F, Strohmaier, J, Tansey, KE, Teismann, H, Teumer, A, Thompson, W, Thorgeirsson, TE, Traylor, M, Treutlein, J, Trubetskoy, V, Uitterlinden, AG, Umbricht, D, Van der Auwera, S, van Hemert, AM, Viktorin, A, Visscher, PM, Wang, Y, Webb, BT, Weinsheimer, SM, Wellmann, J, Willemsen, G, Witt, SH, Wu, Y, Xi, HS, Yang, J, Zhang, F, Arolt, V, Baune, BT, Berger, K, Boomsma, D, Cichon, S, Dannlowski, U, de Geus, EJC, DePaulo, JR, Domenici, E, Domschke, K, Esko, T, Grabe, HJ, Hamilton, SP, Heath, AC, Kendler, KS, Kloiber, S, Lewis, G, Li, QS, Lucae, S, Madden, PAF, Magnusson, PK, Martin, NG, Metspalu, A, Mors, O, Mortensen, PB, Mueller-Myhsok, B, Nordentoft, M, Noethen, MM, O'Donovan, MC, Paciga, SA, Pedersen, NL, Penninx, BWJH, Perlis, RH, Porteous, DJ, Potash, JB, Preisig, M, Rietschel, M, Schaefer, C, Schulze, TG, Smoller, JW, Stefansson, K, Tiemeier, H, Uher, R, Voelzke, H, Weissman, MM, Werge, T, Lewis, CM, Levinson, DF, Breen, G, Borglum, ASD, Sullivan, PF, Arnau-Soler, A, Macdonald-Dunlop, E, Adams, MJ, Clarke, T-K, MacIntyre, DJ, Milburn, K, Navrady, L, Hayward, C, McIntosh, AM, Thomson, PA, Wray, NR, Ripke, S, Mattheisen, M, Trzaskowski, M, Byrne, EM, Abdellaoui, A, Agerbo, E, Air, TM, Andlauer, TFM, Bacanu, S-A, Baekvad-Hansen, M, Beekman, ATF, Bigdeli, TB, Binder, EB, Blackwood, DHR, Bryois, J, Buttenscon, HN, Bybjerg-Grauholm, J, Cai, N, Castelao, E, Christensen, JH, Coleman, JR, Colodro-Conde, L, Couvy-Duchesne, B, Craddock, N, Rawford, GEC, Davies, G, Deary, IJ, Degenhardt, F, Derks, EM, Direk, N, Dolan, C, Dunn, EC, Eley, TC, Escott-Price, V, Kiadeh, FFH, Finucane, HK, Foo, JC, Forstner, AJ, Frank, J, Gaspar, HA, Gill, M, Goes, FS, Gordon, SD, Grove, J, Hall, LS, Hansen, CS, Hansen, TF, Herms, S, Hickie, IB, Hoffmann, P, Homuth, G, Horn, C, Hottenga, J-J, Hougaard, DM, Ising, M, Jansen, R, Jones, I, Jones, LA, Jorgenson, E, Knowles, JA, Kohane, IS, Kraft, J, Kretzschmar, WW, Krogh, J, Kutalik, Z, Li, Y, Lind, PA, Macintyre, DJ, MacKinnon, DF, Maier, RM, Maier, W, Marchini, J, Mbarek, H, McGrath, P, McGuffin, P, Medland, SE, Mehta, D, Middeldorp, CM, Mihailov, E, Milaneschi, Y, Milani, L, Mondimore, FM, Montgomery, GW, Mostafavi, S, Mullins, N, Nauck, M, Ng, B, Nivard, MG, Nyholt, DR, O'Reilly, PF, Oskarsson, H, Owen, MJ, Painter, JN, Pedersen, CB, Pedersen, MG, Peterson, RE, Pettersson, E, Peyrot, WJ, Pistis, G, Posthuma, D, Quiroz, JA, Qvist, P, Rice, JP, Riley, BP, Rivera, M, Mirza, SS, Schoevers, R, Schulte, EC, Shen, L, Shi, J, Shyn, S, Sigurdsson, E, Sinnamon, GCB, Smit, JH, Smith, DJ, Stefansson, H, Steinberg, S, Streit, F, Strohmaier, J, Tansey, KE, Teismann, H, Teumer, A, Thompson, W, Thorgeirsson, TE, Traylor, M, Treutlein, J, Trubetskoy, V, Uitterlinden, AG, Umbricht, D, Van der Auwera, S, van Hemert, AM, Viktorin, A, Visscher, PM, Wang, Y, Webb, BT, Weinsheimer, SM, Wellmann, J, Willemsen, G, Witt, SH, Wu, Y, Xi, HS, Yang, J, Zhang, F, Arolt, V, Baune, BT, Berger, K, Boomsma, D, Cichon, S, Dannlowski, U, de Geus, EJC, DePaulo, JR, Domenici, E, Domschke, K, Esko, T, Grabe, HJ, Hamilton, SP, Heath, AC, Kendler, KS, Kloiber, S, Lewis, G, Li, QS, Lucae, S, Madden, PAF, Magnusson, PK, Martin, NG, Metspalu, A, Mors, O, Mortensen, PB, Mueller-Myhsok, B, Nordentoft, M, Noethen, MM, O'Donovan, MC, Paciga, SA, Pedersen, NL, Penninx, BWJH, Perlis, RH, Porteous, DJ, Potash, JB, Preisig, M, Rietschel, M, Schaefer, C, Schulze, TG, Smoller, JW, Stefansson, K, Tiemeier, H, Uher, R, Voelzke, H, Weissman, MM, Werge, T, Lewis, CM, Levinson, DF, Breen, G, Borglum, ASD, and Sullivan, PF
- Abstract
Stress is associated with poorer physical and mental health. To improve our understanding of this link, we performed genome-wide association studies (GWAS) of depressive symptoms and genome-wide by environment interaction studies (GWEIS) of depressive symptoms and stressful life events (SLE) in two UK population-based cohorts (Generation Scotland and UK Biobank). No SNP was individually significant in either GWAS, but gene-based tests identified six genes associated with depressive symptoms in UK Biobank (DCC, ACSS3, DRD2, STAG1, FOXP2 and KYNU; p < 2.77 × 10-6). Two SNPs with genome-wide significant GxE effects were identified by GWEIS in Generation Scotland: rs12789145 (53-kb downstream PIWIL4; p = 4.95 × 10-9; total SLE) and rs17070072 (intronic to ZCCHC2; p = 1.46 × 10-8; dependent SLE). A third locus upstream CYLC2 (rs12000047 and rs12005200, p < 2.00 × 10-8; dependent SLE) when the joint effect of the SNP main and GxE effects was considered. GWEIS gene-based tests identified: MTNR1B with GxE effect with dependent SLE in Generation Scotland; and PHF2 with the joint effect in UK Biobank (p < 2.77 × 10-6). Polygenic risk scores (PRSs) analyses incorporating GxE effects improved the prediction of depressive symptom scores, when using weights derived from either the UK Biobank GWAS of depressive symptoms (p = 0.01) or the PGC GWAS of major depressive disorder (p = 5.91 × 10-3). Using an independent sample, PRS derived using GWEIS GxE effects provided evidence of shared aetiologies between depressive symptoms and schizotypal personality, heart disease and COPD. Further such studies are required and may result in improved treatments for depression and other stress-related conditions.
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- 2019
57. Decreased functional connectivity of the insula within the salience network as an indicator for prospective insufficient response to antidepressants.
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Geugies, H, Opmeer, EM, Marsman, JBC, Figueroa, CA, van Tol, MJ, Schmaal, L, van der Wee, NJA, Aleman, A, Penninx, BWJH, Veltman, DJ, Schoevers, RA, Ruhé, HG, Geugies, H, Opmeer, EM, Marsman, JBC, Figueroa, CA, van Tol, MJ, Schmaal, L, van der Wee, NJA, Aleman, A, Penninx, BWJH, Veltman, DJ, Schoevers, RA, and Ruhé, HG
- Abstract
Insufficient response to treatment is the main cause of prolonged suffering from major depressive disorder (MDD). Early identification of insufficient response could result in faster and more targeted treatment strategies to reduce suffering. We therefore explored whether baseline alterations within and between resting state functional connectivity networks could serve as markers of insufficient response to antidepressant treatment in two years of follow-up. We selected MDD patients (N = 17) from the NEtherlands Study of Depression and Anxiety (NESDA), who received ≥ two antidepressants, indicative for insufficient response, during the two year follow-up, a group of MDD patients who received only one antidepressant (N = 32) and a healthy control group (N = 19) matched on clinical characteristics and demographics. An independent component analysis (ICA) of baseline resting-state scans was conducted after which functional connectivity within the components was compared between groups. We observed lower connectivity of the right insula within the salience network in the group with ≥ two antidepressants compared to the group with one antidepressant. No difference in connectivity was found between the patient groups and healthy control group. Given the suggested role of the right insula in switching between task-positive mode (activation during attention-demanding tasks) and task-negative mode (activation during the absence of any task), we explored whether right insula activation differed during switching between these two modes. We observed that in the ≥2 antidepressant group, the right insula was less active compared to the group with one antidepressant, when switching from task-positive to task-negative mode than the other way around. These findings imply that lower right insula connectivity within the salience network may serve as an indicator for prospective insufficient response to antidepressants. This result, supplemented by the diminished insula activation when
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- 2019
58. Integrated analysis of environmental and genetic influences on cord blood DNA methylation in new-borns
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Czamara, D, Eraslan, G, Page, CM, Lahti, J, Lahti-Pulkkinen, M, Hamalainen, E, Kajantie, E, Laivuori, H, Villa, PM, Reynolds, RM, Nystad, W, Haberg, SE, London, SJ, O'Donnell, KJ, Garg, E, Meaney, MJ, Entringer, S, Wadhwa, PD, Buss, C, Jones, MJ, Lin, DTS, MacIsaac, JL, Kobor, MS, Koen, N, Zar, HJ, Koenen, KC, Dalvie, S, Stein, DJ, Kondofersky, I, Mueller, NS, Theis, FJ, Raikkonen, K, Binder, EB, Wray, NR, Ripke, S, Mattheisen, M, Trzaskowski, M, Byrne, EM, Abdellaoui, A, Adams, MJ, Agerbo, E, Air, TM, Andlauer, TFM, Bacanu, S-A, Baekvad-Hansen, M, Beekman, ATF, Bigdeli, TB, Blackwood, DHR, Bryois, J, Buttenschon, HN, Bybjerg-Grauholm, J, Cai, N, Castelao, E, Christensen, JH, Clarke, T-K, Coleman, JR, Colodro-Conde, L, Couvy-Duchesne, B, Craddock, N, Crawford, GE, Davies, G, Deary, IJ, Degenhardt, F, Derks, EM, Direk, N, Dolan, C, Dunn, EC, Eley, TC, Escott-Price, V, Kiadeh, FFH, Finucane, HK, Forstner, AJ, Frank, J, Gaspar, HA, Gill, M, Goes, FS, Gordon, SD, Grove, J, Hall, LS, Hansen, CS, Hansen, TF, Herms, S, Hickie, IB, Hoffmann, P, Homuth, G, Horn, C, Hottenga, J-J, Hougaard, DM, Ising, M, Jansen, R, Jorgenson, E, Knowles, JA, Kohane, IS, Kraft, J, Kretzschmar, WW, Krogh, J, Kutalik, Z, Li, Y, Lind, PA, MacIntyre, DJ, MacKinnon, DF, Maier, RM, Maier, W, Marchini, J, Mbarek, H, McGrath, P, McGuffin, P, Medland, SE, Mehta, D, Middeldorp, CM, Mihailov, E, Milaneschi, Y, Milani, L, Mondimore, FM, Montgomery, GW, Mostafavi, S, Mullins, N, Nauck, M, Ng, B, Nivard, MG, Nyholt, DR, O'Reilly, PF, Oskarsson, H, Owen, MJ, Painter, JN, Pedersen, CB, Pedersen, MG, Peterson, RE, Pettersson, E, Peyrot, WJ, Pistis, G, Posthuma, D, Quiroz, JA, Qvist, P, Rice, JP, Riley, BP, Rivera, M, Mirza, SS, Schoevers, R, Schulte, EC, Shen, L, Shi, J, Shyn, S, Sigurdsson, E, Sinnamon, GCB, Smit, JH, Smith, DJ, Stefansson, H, Steinberg, S, Streit, F, Strohmaier, J, Tansey, KE, Teismann, H, Teumer, A, Thompson, W, Thomson, PA, Thorgeirsson, TE, Traylor, M, Treutlein, J, Trubetskoy, V, Uitterlinden, AG, Umbricht, D, Van der Auwera, S, van Hemert, AM, Viktorin, A, Visscher, PM, Wang, Y, Webb, BT, Weinsheimer, SM, Wellmann, J, Willemsen, G, Witt, SH, Wu, Y, Xi, HS, Yang, J, Zhang, F, Arolt, V, Baune, BT, Berger, K, Boomsma, D, Cichon, S, Dannlowski, U, de Geus, EJC, DePaulo, JR, Domenici, E, Domschke, K, Esko, T, Grabe, HJ, Hamilton, SP, Hayward, C, Heath, AC, Kendler, KS, Kloiber, S, Lewis, G, Li, QS, Lucae, S, Madden, PAF, Magnusson, PK, Martin, NG, McIntosh, AM, Metspalu, A, Mors, O, Mortensen, PB, Mueller-Myhsok, B, Nordentoft, M, Noethen, MM, O'Donovan, MC, Paciga, SA, Pedersen, NL, Penninx, BWJH, Perlis, RH, Porteous, DJ, Potash, JB, Preisig, M, Rietschel, M, Schaefer, C, Schulze, TG, Smoller, JW, Stefansson, K, Tiemeier, H, Uher, R, Voelzke, H, Weissman, MM, Werge, T, Lewis, CM, Levinson, DF, Breen, G, Borglum, AD, Sullivan, PF, Czamara, D, Eraslan, G, Page, CM, Lahti, J, Lahti-Pulkkinen, M, Hamalainen, E, Kajantie, E, Laivuori, H, Villa, PM, Reynolds, RM, Nystad, W, Haberg, SE, London, SJ, O'Donnell, KJ, Garg, E, Meaney, MJ, Entringer, S, Wadhwa, PD, Buss, C, Jones, MJ, Lin, DTS, MacIsaac, JL, Kobor, MS, Koen, N, Zar, HJ, Koenen, KC, Dalvie, S, Stein, DJ, Kondofersky, I, Mueller, NS, Theis, FJ, Raikkonen, K, Binder, EB, Wray, NR, Ripke, S, Mattheisen, M, Trzaskowski, M, Byrne, EM, Abdellaoui, A, Adams, MJ, Agerbo, E, Air, TM, Andlauer, TFM, Bacanu, S-A, Baekvad-Hansen, M, Beekman, ATF, Bigdeli, TB, Blackwood, DHR, Bryois, J, Buttenschon, HN, Bybjerg-Grauholm, J, Cai, N, Castelao, E, Christensen, JH, Clarke, T-K, Coleman, JR, Colodro-Conde, L, Couvy-Duchesne, B, Craddock, N, Crawford, GE, Davies, G, Deary, IJ, Degenhardt, F, Derks, EM, Direk, N, Dolan, C, Dunn, EC, Eley, TC, Escott-Price, V, Kiadeh, FFH, Finucane, HK, Forstner, AJ, Frank, J, Gaspar, HA, Gill, M, Goes, FS, Gordon, SD, Grove, J, Hall, LS, Hansen, CS, Hansen, TF, Herms, S, Hickie, IB, Hoffmann, P, Homuth, G, Horn, C, Hottenga, J-J, Hougaard, DM, Ising, M, Jansen, R, Jorgenson, E, Knowles, JA, Kohane, IS, Kraft, J, Kretzschmar, WW, Krogh, J, Kutalik, Z, Li, Y, Lind, PA, MacIntyre, DJ, MacKinnon, DF, Maier, RM, Maier, W, Marchini, J, Mbarek, H, McGrath, P, McGuffin, P, Medland, SE, Mehta, D, Middeldorp, CM, Mihailov, E, Milaneschi, Y, Milani, L, Mondimore, FM, Montgomery, GW, Mostafavi, S, Mullins, N, Nauck, M, Ng, B, Nivard, MG, Nyholt, DR, O'Reilly, PF, Oskarsson, H, Owen, MJ, Painter, JN, Pedersen, CB, Pedersen, MG, Peterson, RE, Pettersson, E, Peyrot, WJ, Pistis, G, Posthuma, D, Quiroz, JA, Qvist, P, Rice, JP, Riley, BP, Rivera, M, Mirza, SS, Schoevers, R, Schulte, EC, Shen, L, Shi, J, Shyn, S, Sigurdsson, E, Sinnamon, GCB, Smit, JH, Smith, DJ, Stefansson, H, Steinberg, S, Streit, F, Strohmaier, J, Tansey, KE, Teismann, H, Teumer, A, Thompson, W, Thomson, PA, Thorgeirsson, TE, Traylor, M, Treutlein, J, Trubetskoy, V, Uitterlinden, AG, Umbricht, D, Van der Auwera, S, van Hemert, AM, Viktorin, A, Visscher, PM, Wang, Y, Webb, BT, Weinsheimer, SM, Wellmann, J, Willemsen, G, Witt, SH, Wu, Y, Xi, HS, Yang, J, Zhang, F, Arolt, V, Baune, BT, Berger, K, Boomsma, D, Cichon, S, Dannlowski, U, de Geus, EJC, DePaulo, JR, Domenici, E, Domschke, K, Esko, T, Grabe, HJ, Hamilton, SP, Hayward, C, Heath, AC, Kendler, KS, Kloiber, S, Lewis, G, Li, QS, Lucae, S, Madden, PAF, Magnusson, PK, Martin, NG, McIntosh, AM, Metspalu, A, Mors, O, Mortensen, PB, Mueller-Myhsok, B, Nordentoft, M, Noethen, MM, O'Donovan, MC, Paciga, SA, Pedersen, NL, Penninx, BWJH, Perlis, RH, Porteous, DJ, Potash, JB, Preisig, M, Rietschel, M, Schaefer, C, Schulze, TG, Smoller, JW, Stefansson, K, Tiemeier, H, Uher, R, Voelzke, H, Weissman, MM, Werge, T, Lewis, CM, Levinson, DF, Breen, G, Borglum, AD, and Sullivan, PF
- Abstract
Epigenetic processes, including DNA methylation (DNAm), are among the mechanisms allowing integration of genetic and environmental factors to shape cellular function. While many studies have investigated either environmental or genetic contributions to DNAm, few have assessed their integrated effects. Here we examine the relative contributions of prenatal environmental factors and genotype on DNA methylation in neonatal blood at variably methylated regions (VMRs) in 4 independent cohorts (overall n = 2365). We use Akaike's information criterion to test which factors best explain variability of methylation in the cohort-specific VMRs: several prenatal environmental factors (E), genotypes in cis (G), or their additive (G + E) or interaction (GxE) effects. Genetic and environmental factors in combination best explain DNAm at the majority of VMRs. The CpGs best explained by either G, G + E or GxE are functionally distinct. The enrichment of genetic variants from GxE models in GWAS for complex disorders supports their importance for disease risk.
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- 2019
59. Publisher Correction: Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits (vol 50, pg 1412, 2018)
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Evangelou, E, Warren, HR, Mosen-Ansorena, D, Mifsud, B, Pazoki, R, Gao, H, Ntritsos, G, Dimou, N, Cabrera, CP, Karaman, I, Fu, LN, Evangelou, M, Witkowska, K, Tzanis, E, Hellwege, JN, Giri, A, Edwards, DRV, Sun, YV, Cho, K, Gaziano, JM, Wilson, PWF, Tsao, PS, Kovesdy, CP, Esko, T, Magi, R, Milani, L, Almgren, P, Boutin, T, Debette, S, Ding, J, Giulianini, F, Holliday, EG, Jackson, AU, Li-Gao, R, Lin, W-Y, Luan, J, Mangino, M, Oldmeadow, C, Prins, BP, Qian, Y, Sargurupremraj, M, Shah, N, Surendran, P, Theriault, S, Verweij, N, Willems, SM, Zhao, J-H, Amouyel, P, Connell, J, De Mutsert, R, Doney, ASF, Farrall, M, Menni, C, Morris, AD, Noordam, R, Pare, G, Poulter, NR, Shields, DC, Stanton, A, Thom, S, Abecasis, G, Amin, N, Arking, DE, Ayers, KL, Barbieri, CM, Batini, C, Bis, JC, Blake, T, Bochud, M, Boehnke, M, Boerwinkle, E, Boomsma, DI, Bottinger, EP, Braund, PS, Brumat, M, Campbell, A, Campbell, H, Chakravarti, A, Chambers, JC, Chauhan, G, Ciullo, M, Cocca, M, Collins, F, Cordell, HJ, Davies, G, De Borst, MH, De Geus, EJ, Deary, IJ, Deelen, J, Del Greco, FM, Demirkale, CY, Dorr, M, Ehret, GB, Elosua, R, Enroth, S, Erzurumluoglu, AM, Ferreira, T, Franberg, M, Franco, OH, Gandin, I, Gasparini, P, Giedraitis, V, Gieger, C, Girotto, G, Goel, A, Gow, AJ, Gudnason, V, Guo, X, Gyllensten, U, Hamsten, A, Harris, TB, Harris, SE, Hartman, CA, Havulinna, AS, Hicks, AA, Hofer, E, Hofman, A, Hottenga, J-J, Huffman, JE, Hwang, S-J, Ingelsson, E, James, A, Jansen, R, Jarvelin, M-R, Joehanes, R, Johansson, A, Johnson, AD, Joshi, PK, Jousilahti, P, Jukema, JW, Jula, A, Kahonen, M, Kathiresan, S, Keavney, BD, Khaw, K-T, Knekt, P, Knight, J, Kolcic, I, Kooner, JS, Koskinen, S, Kristiansson, K, Kutalik, Z, Laan, M, Larson, M, Launer, LJ, Lehne, B, Lehtimaki, T, Liewald, DCM, Lin, L, Lind, L, Lindgren, CM, Liu, Y, Loos, RJF, Lopez, LM, Lu, Y, Lyytikainen, L-P, Mahajan, A, Mamasoula, C, Marrugat, J, Marten, J, Milaneschi, Y, Morgan, A, Morris, AP, Morrison, AC, Munson, PJ, Nalls, MA, Nandakumar, P, Nelson, CP, Niiranen, T, Nolte, IM, Nutile, T, Oldehinkel, AJ, Oostra, BA, O'Reilly, PF, Org, E, Padmanabhan, S, Palmas, W, Palotie, A, Pattie, A, Penninx, BWJH, Perola, M, Peters, A, Polasek, O, Pramstaller, PP, Quang, TN, Raitakari, OT, Ren, M, Rettig, R, Rice, K, Ridker, PM, Ried, JS, Riese, H, Ripatti, S, Robino, A, Rose, LM, Rotter, JI, Rudan, I, Ruggiero, D, Saba, Y, Sala, CF, Salomaa, V, Samani, NJ, Sarin, A-P, Schmidt, R, Schmidt, H, Shrine, N, Siscovick, D, Smith, AV, Snieder, H, Sober, S, Sorice, R, Starr, JM, Stott, DJ, Strachan, DP, Strawbridge, RJ, Sundstrom, J, Swertz, MA, Taylor, KD, Teumer, A, Tobin, MD, Tomaszewski, M, Toniolo, D, Traglia, M, Trompet, S, Tuomilehto, J, Tzourio, C, Uitterlinden, AG, Vaez, A, Van der Most, PJ, Van Duijn, CM, Vergnaud, A-C, Verwoert, GC, Vitart, V, Volker, U, Vollenweider, P, Vuckovic, D, Watkins, H, Wild, SH, Willemsen, G, Wilson, JF, Wright, AF, Yao, J, Zemunik, T, Zhang, W, Attia, JR, Butterworth, AS, Chasman, DI, Conen, D, Cucca, F, Danesh, J, Hayward, C, Howson, JMM, Laakso, M, Lakatta, EG, Langenberg, C, Melander, O, Mook-Kanamori, DO, Palmer, CNA, Risch, L, Scott, RA, Scott, RJ, Sever, P, Spector, TD, Van der Harst, P, Wareham, NJ, Zeggini, E, Levy, D, Munroe, PB, Newton-Cheh, C, Brown, MJ, Metspalu, A, Hung, AM, O'Donnell, CJ, Edwards, TL, Psaty, BM, Tzoulaki, I, Barnes, MR, Wain, LV, Elliott, P, and Caulfield, MJ
- Subjects
Genetics & Heredity ,Science & Technology ,Million Veteran Program ,06 Biological Sciences ,Life Sciences & Biomedicine ,11 Medical and Health Sciences ,Developmental Biology - Abstract
Correction to: Nature Genetics https://doi.org/10.1038/s41588-018-0205-x, published online 17 September 2018.
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- 2018
60. De epidemiologie van psychiatrische comorbiditeit
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Penninx, BWJH, Spinhoven, Philip, Bockting, Claudi, Ruhé, Eric, Spijker, Jan, APH - Mental Health, Psychiatry, and APH - Digital Health
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- 2018
61. The epidemiology of psychiatric comorbidity
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Penninx, BWJH, Spinhoven, Philip, Bockting, Claudi, Ruhé, Eric, and Spijker, Jan
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- 2018
62. Epidemiologie
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Batelaan, N.M., Penninx, BWJH, van Balkom, A.J.L.M., Oosterbaan, D., Visser, S., van Vliet, I., APH - Mental Health, Psychiatry, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Amsterdam Neuroscience - Complex Trait Genetics, and APH - Digital Health
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- 2018
63. Publisher Correction: Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits
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EVANGELOU, E., WARREN, H. R., MOSEN-ANSORENA, D., MIFSUD, B., PAZOKI, R., Gao, H., NTRITSOS, G., DIMOU, N., CABRERA, C. P., Karaman, I., NG, F. L., Evangelou, M., WITKOWSKA, K., TZANIS, E., HELLWEGE, J. N., Giri, A., VELEZ EDWARDS, D. R., Sun, Y. V., Cho, K., GAZIANO, J. M., WILSON, P. W. F., TSAO, P. S., Kovesdy, C. P., ESKO, T., MAGI, R., Milani, L., Almgren, P., Boutin, T., Debette, Stéphanie, Ding, J., GIULIANINI, F., HOLLIDAY, E. G., JACKSON, A. U., LI-GAO, R., LIN, W. Y., Luan, J., Mangino, M., OLDMEADOW, C., PRINS, B. P., Qian, Y., Sargurupremraj, Muralidharan, Shah, N., SURENDRAN, P., THERIAULT, S., VERWEIJ, N., WILLEMS, S. M., Zhao, J. H., Amouyel, P., Connell, J., DE MUTSERT, R., DONEY, A. S. F., Farrall, M., MENNI, C., NOORDAM, R., Pare, G., POULTER, N. R., SHIELDS, D. C., STANTON, A., THOM, S., ABECASIS, G., Amin, N., ARKING, D. E., Ayers, K. L., BARBIERI, C. M., Batini, C., BIS, J. C., Blake, T., Bochud, M., Boehnke, M., BOERWINKLE, E., Boomsma, D. I., BOTTINGER, E. P., BRAUND, P. S., BRUMAT, M., Campbell, A., Campbell, H., Chakravarti, A., CHAMBERS, J. C., Chauhan, Ganesh, Ciullo, M., COCCA, M., Collins, F., CORDELL, H. J., Davies, G., DE BORST, M. H., DE GEUS, E. J., DEARY, I. J., DEELEN, J., DEL GRECO, M. F., DEMIRKALE, C. Y., DORR, M., EHRET, G. B., ELOSUA, R., ENROTH, S., ERZURUMLUOGLU, A. M., Ferreira, T., Franberg, M., FRANCO, O. H., GANDIN, I., Gasparini, P., GIEDRAITIS, V., Gieger, C., GIROTTO, G., Goel, A., GOW, A. J., GUDNASON, V., Guo, X., GYLLENSTEN, U., HAMSTEN, A., HARRIS, T. B., Harris, S. E., HARTMAN, C. A., HAVULINNA, A. S., HICKS, A. A., Hofer, E., Hofman, A., HOTTENGA, J. J., HUFFMAN, J. E., Hwang, S. J., INGELSSON, E., James, A., Jansen, R., JARVELIN, M. R., JOEHANES, R., Johansson, A., JOHNSON, A. D., Joshi, P. K., JOUSILAHTI, P., JUKEMA, J. W., JULA, A., KAHONEN, M., KATHIRESAN, S., KEAVNEY, B. D., Khaw, K. T., KNEKT, P., Knight, J., KOLCIC, I., KOONER, J. S., KOSKINEN, S., KRISTIANSSON, K., KUTALIK, Z., Laan, M., Larson, M., LAUNER, L. J., LEHNE, B., LEHTIMAKI, T., LIEWALD, D. C. M., Lin, L., LIND, L., LINDGREN, C. M., Liu, Y., LOOS, R. J. F., LOPEZ, L. M., Lu, Y., LYYTIKAINEN, L. P., Mahajan, A., MAMASOULA, C., MARRUGAT, J., MARTEN, J., MILANESCHI, Y., Morgan, A., MORRIS, A. D., MORRISON, A. C., MUNSON, P. J., Nalls, M. A., NANDAKUMAR, P., NELSON, C. P., NIIRANEN, T., Nolte, I. M., Nutile, T., Oldehinkel, A. J., Oostra, B. A., O'REILLY, P. F., ORG, E., PADMANABHAN, S., PALMAS, W., Palotie, A., PATTIE, A., PENNINX, Bwjh, Perola, M., Peters, A., POLASEK, O., PRAMSTALLER, P. P., Nguyen, Q. T., RAITAKARI, O. T., REN, M., Rettig, R., Rice, K., RIDKER, P. M., RIED, J. S., RIESE, H., RIPATTI, S., ROBINO, A., ROSE, L. M., ROTTER, J. I., RUDAN, I., Ruggiero, D., SABA, Y., SALA, C. F., SALOMAA, V., SAMANI, N. J., SARIN, A. P., Schmidt, R., Schmidt, H., SHRINE, N., SISCOVICK, D., SMITH, A. V., SNIEDER, H., SOBER, S., Sorice, R., STARR, J. M., STOTT, D. J., Strachan, D. P., STRAWBRIDGE, R. J., SUNDSTROM, J., SWERTZ, M. A., TAYLOR, K. D., TEUMER, A., TOBIN, M. D., TOMASZEWSKI, M., TONIOLO, D., TRAGLIA, M., TROMPET, S., TUOMILEHTO, J., Tzourio, Christophe, UITTERLINDEN, A. G., VAEZ, A., VAN DER MOST, P. J., VAN DUIJN, C. M., VERGNAUD, A. C., VERWOERT, G. C., Vitart, V., VOLKER, U., Vollenweider, P., VUCKOVIC, D., WATKINS, H., WILD, S. H., Willemsen, G., WILSON, J. F., WRIGHT, A. F., Yao, J., ZEMUNIK, T., Zhang, W., ATTIA, J. R., BUTTERWORTH, A. S., Chasman, D. I., CONEN, D., Cucca, F., DANESH, J., Hayward, C., HOWSON, J. M. M., Laakso, M., LAKATTA, E. G., Langenberg, C., MELANDER, O., MOOK-KANAMORI, D. O., PALMER, C. N. A., Risch, L., SCOTT, R. A., SEVER, P., SPECTOR, T. D., Van Der Harst, P., Wareham, N. J., Zeggini, E., Levy, D., MUNROE, P. B., NEWTON-CHEH, C., Brown, M. J., Metspalu, A., HUNG, A. M., O'DONNELL, C. J., EDWARDS, T. L., PSATY, B. M., TZOULAKI, I., BARNES, M. R., WAIN, L. V., Elliott, P., CAULFIELD, M. J., Bordeaux population health (BPH), and Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM)
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VINTAGE ,ComputingMethodologies_DOCUMENTANDTEXTPROCESSING ,[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie ,HEALTHY - Abstract
In the version of this article originally published, the name of author Martin H. de Borst was coded incorrectly in the XML. The error has now been corrected in the HTML version of the paper.
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- 2018
64. Genetic underpinnings of sociability in the UK Biobank
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Bralten, J, primary, Klemann, CJHM, additional, Mota, NR, additional, De Witte, W, additional, Arango, C, additional, Fabbri, C, additional, Kas, MJ, additional, van der Wee, N, additional, Penninx, BWJH, additional, Serretti, A, additional, Franke, B, additional, and Poelmans, G, additional
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- 2019
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- View/download PDF
65. Collaborative meta-Analysis finds no evidence of a strong interaction between stress and 5-HTTLPR genotype contributing to the development of depression
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Culverhouse, RC, Saccone, NL, Horton, AC, Ma, Y, Anstey, KJ, Banaschewski, T, Burmeister, M, Cohen-Woods, S, Etain, B, Fisher, HL, Goldman, N, Guillaume, S, Horwood, J, Juhasz, G, Lester, KJ, Mandelli, L, Middeldorp, CM, Olié, E, Villafuerte, S, Air, TM, Araya, R, Bowes, L, Burns, R, Byrne, EM, Coffey, C, Coventry, WL, Gawronski, KAB, Glei, D, Hatzimanolis, A, Hottenga, JJ, Jaussent, I, Jawahar, C, Jennen-Steinmetz, C, Kramer, JR, Lajnef, M, Little, K, Zu Schwabedissen, HM, Nauck, M, Nederhof, E, Petschner, P, Peyrot, WJ, Schwahn, C, Sinnamon, G, Stacey, D, Tian, Y, Toben, C, Van Der Auwera, S, Wainwright, N, Wang, JC, Willemsen, G, Anderson, IM, Arolt, V, Aslund, C, Bagdy, G, Baune, BT, Bellivier, F, Boomsma, DI, Courtet, P, Dannlowski, U, De Geus, EJC, Deakin, JFW, Easteal, S, Eley, T, Fergusson, DM, Goate, AM, Gonda, X, Grabe, HJ, Holzman, C, Johnson, EO, Kennedy, M, Laucht, M, Martin, NG, Munafò, MR, Nilsson, KW, Oldehinkel, AJ, Olsson, CA, Ormel, J, Otte, C, Patton, GC, Penninx, BWJH, Ritchie, K, Sarchiapone, M, Scheid, JM, Serretti, A, Smit, JH, Stefanis, NC, Surtees, PG, Völzke, H, Weinstein, M, Whooley, M, Nurnberger, JI, Breslau, N, Bierut, LJ, Culverhouse, RC, Saccone, NL, Horton, AC, Ma, Y, Anstey, KJ, Banaschewski, T, Burmeister, M, Cohen-Woods, S, Etain, B, Fisher, HL, Goldman, N, Guillaume, S, Horwood, J, Juhasz, G, Lester, KJ, Mandelli, L, Middeldorp, CM, Olié, E, Villafuerte, S, Air, TM, Araya, R, Bowes, L, Burns, R, Byrne, EM, Coffey, C, Coventry, WL, Gawronski, KAB, Glei, D, Hatzimanolis, A, Hottenga, JJ, Jaussent, I, Jawahar, C, Jennen-Steinmetz, C, Kramer, JR, Lajnef, M, Little, K, Zu Schwabedissen, HM, Nauck, M, Nederhof, E, Petschner, P, Peyrot, WJ, Schwahn, C, Sinnamon, G, Stacey, D, Tian, Y, Toben, C, Van Der Auwera, S, Wainwright, N, Wang, JC, Willemsen, G, Anderson, IM, Arolt, V, Aslund, C, Bagdy, G, Baune, BT, Bellivier, F, Boomsma, DI, Courtet, P, Dannlowski, U, De Geus, EJC, Deakin, JFW, Easteal, S, Eley, T, Fergusson, DM, Goate, AM, Gonda, X, Grabe, HJ, Holzman, C, Johnson, EO, Kennedy, M, Laucht, M, Martin, NG, Munafò, MR, Nilsson, KW, Oldehinkel, AJ, Olsson, CA, Ormel, J, Otte, C, Patton, GC, Penninx, BWJH, Ritchie, K, Sarchiapone, M, Scheid, JM, Serretti, A, Smit, JH, Stefanis, NC, Surtees, PG, Völzke, H, Weinstein, M, Whooley, M, Nurnberger, JI, Breslau, N, and Bierut, LJ
- Abstract
The hypothesis that the S allele of the 5-HTTLPR serotonin transporter promoter region is associated with increased risk of depression, but only in individuals exposed to stressful situations, has generated much interest, research and controversy since first proposed in 2003. Multiple meta-Analyses combining results from heterogeneous analyses have not settled the issue. To determine the magnitude of the interaction and the conditions under which it might be observed, we performed new analyses on 31 data sets containing 38 802 European ancestry subjects genotyped for 5-HTTLPR and assessed for depression and childhood maltreatment or other stressful life events, and meta-Analysed the results. Analyses targeted two stressors (narrow, broad) and two depression outcomes (current, lifetime). All groups that published on this topic prior to the initiation of our study and met the assessment and sample size criteria were invited to participate. Additional groups, identified by consortium members or self-identified in response to our protocol (published prior to the start of analysis) with qualifying unpublished data, were also invited to participate. A uniform data analysis script implementing the protocol was executed by each of the consortium members. Our findings do not support the interaction hypothesis. We found no subgroups or variable definitions for which an interaction between stress and 5-HTTLPR genotype was statistically significant. In contrast, our findings for the main effects of life stressors (strong risk factor) and 5-HTTLPR genotype (no impact on risk) are strikingly consistent across our contributing studies, the original study reporting the interaction and subsequent meta-Analyses. Our conclusion is that if an interaction exists in which the S allele of 5-HTTLPR increases risk of depression only in stressed individuals, then it is not broadly generalisable, but must be of modest effect size and only observable in limited situations.
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- 2018
66. Epigenetic Aging in Major Depressive Disorder
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Han, LKM, Aghajani, M, Clark, SL, Chan, RF, Hattab, MW, Shabalin, AA, Zhao, M, Kumar, G, Xie, LY, Jansen, R, Milaneschi, Y, Dean, B, Aberg, KA, van den Oord, EJCG, Penninx, BWJH, Han, LKM, Aghajani, M, Clark, SL, Chan, RF, Hattab, MW, Shabalin, AA, Zhao, M, Kumar, G, Xie, LY, Jansen, R, Milaneschi, Y, Dean, B, Aberg, KA, van den Oord, EJCG, and Penninx, BWJH
- Abstract
OBJECTIVE: Major depressive disorder is associated with an increased risk of mortality and aging-related diseases. The authors examined whether major depression is associated with higher epigenetic aging in blood as measured by DNA methylation (DNAm) patterns, whether clinical characteristics of major depression have a further impact on these patterns, and whether the findings replicate in brain tissue. METHOD: DNAm age was estimated using all methylation sites in blood of 811 depressed patients and 319 control subjects with no lifetime psychiatric disorders and low depressive symptoms from the Netherlands Study of Depression and Anxiety. The residuals of the DNAm age estimates regressed on chronological age were calculated to indicate epigenetic aging. Major depression diagnosis and clinical characteristics were assessed with questionnaires and psychiatric interviews. Analyses were adjusted for sociodemographic characteristics, lifestyle, and health status. Postmortem brain samples of 74 depressed patients and 64 control subjects were used for replication. Pathway enrichment analysis was conducted using ConsensusPathDB to gain insight into the biological processes underlying epigenetic aging in blood and brain. RESULTS: Significantly higher epigenetic aging was observed in patients with major depression compared with control subjects (Cohen's d=0.18), with a significant dose effect with increasing symptom severity in the overall sample. In the depression group, epigenetic aging was positively and significantly associated with childhood trauma score. The case-control difference was replicated in an independent data set of postmortem brain samples. The top significantly enriched Gene Ontology terms included neuronal processes. CONCLUSIONS: As compared with control subjects, patients with major depression exhibited higher epigenetic aging in blood and brain tissue, suggesting that they are biologically older than their corresponding chronological age. This effect was
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- 2018
67. Predicting the naturalistic course of depression from a wide range of clinical, psychological, and biological data: a machine learning approach
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Dinga, R, Marquand, AF, Veltman, DJ, Beekman, ATF, Schoevers, RA, van Hemert, AM, Penninx, BWJH, Schmaal, L, Dinga, R, Marquand, AF, Veltman, DJ, Beekman, ATF, Schoevers, RA, van Hemert, AM, Penninx, BWJH, and Schmaal, L
- Abstract
Many variables have been linked to different course trajectories of depression. These findings, however, are based on group comparisons with unknown translational value. This study evaluated the prognostic value of a wide range of clinical, psychological, and biological characteristics for predicting the course of depression and aimed to identify the best set of predictors. Eight hundred four unipolar depressed patients (major depressive disorder or dysthymia) patients were assessed on a set involving 81 demographic, clinical, psychological, and biological measures and were clinically followed-up for 2 years. Subjects were grouped according to (i) the presence of a depression diagnosis at 2-year follow-up (yes n = 397, no n = 407), and (ii) three disease course trajectory groups (rapid remission, n = 356, gradual improvement n = 273, and chronic n = 175) identified by a latent class growth analysis. A penalized logistic regression, followed by tight control over type I error, was used to predict depression course and to evaluate the prognostic value of individual variables. Based on the inventory of depressive symptomatology (IDS), we could predict a rapid remission course of depression with an AUROC of 0.69 and 62% accuracy, and the presence of an MDD diagnosis at follow-up with an AUROC of 0.66 and 66% accuracy. Other clinical, psychological, or biological variables did not significantly improve the prediction. Among the large set of variables considered, only the IDS provided predictive value for course prediction on an individual level, although this analysis represents only one possible methodological approach. However, accuracy of course prediction was moderate at best and further improvement is required for these findings to be clinically useful.
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- 2018
68. Applying polygenic risk scoring for psychiatric disorders to a large family with bipolar disorder and major depressive disorder
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de Jong, S, Abdalla Diniz, MJ, Saloma, A, Gadelha, A, Santoro, ML, Ota, VK, Noto, C, Curtis, C, Newhouse, SJ, Patel, H, Hall, LS, O'Reilly, PF, Belangero, S, Bressan, RA, Breen, G, Wray, NR, Ripke, S, Mattheisen, M, Trzaskowski, M, Byrne, EM, Abdellaoui, A, Adams, MJ, Agerbo, E, Air, TM, Andlauer, TFM, Bacanu, S-A, Baekvad-Hansen, M, Beekman, ATF, Bigdeli, TB, Binder, EB, Blackwood, DHR, Bryois, J, Buttenschon, HN, Bybjerg-Grauholm, J, Cai, N, Castelao, E, Christensen, JH, Clarke, T-K, Coleman, JR, Colodro-Conde, L, Couvy-Duchesne, B, Craddock, N, Crawford, GE, Davies, G, Deary, IJ, Degenhardt, F, Derks, EM, Direk, N, Dolan, C, Dunn, EC, Eley, TC, Escott-Price, V, Kiadeh, FFH, Finucane, HK, Forstner, AJ, Frank, J, Gaspar, HA, Gill, M, Goes, FS, Gordon, SD, Grove, J, Hansen, CS, Hansen, TF, Herms, S, Hickie, IB, Hoffmann, P, Homuth, G, Horn, C, Hottenga, J-J, Hougaard, DM, Ising, M, Jansen, R, Jones, I, Jones, LA, Jorgenson, E, Knowles, JA, Kohane, IS, Kraft, J, Kretzschmar, WW, Krogh, J, Kutalik, Z, Li, Y, Lind, PA, MacIntyre, DJ, MacKinnon, DF, Maier, RM, Maier, W, Marchini, J, Mbarek, H, Mcgrath, P, Mcguffin, P, Medland, SE, Mehta, D, Middeldorp, CM, Mihailov, E, Milaneschi, Y, Milani, L, Mondimore, FM, Montgomery, GW, Mostafavi, S, Mullins, N, Nauck, M, Ng, B, Nivard, MG, Nyholt, DR, Oskarsson, H, Owen, MJ, Painter, JN, Pedersen, CB, Pedersen, MG, Peterson, RE, Pettersson, E, Peyrot, WJ, Pistis, G, Posthuma, D, Quiroz, JA, Qvist, P, Rice, JP, Riley, BP, Rivera, M, Mirza, SS, Schoevers, R, Schulte, EC, Shen, L, Shyn, S, Sigurdsson, E, Sinnamon, GCB, Smit, JH, Smith, DJ, Stefansson, H, Steinberg, S, Streit, F, Strohmaier, J, Tansey, KE, Teismann, H, Teumer, A, Thompson, W, Thomson, PA, Thorgeirsson, TE, Traylor, M, Treutlein, J, Trubetskoy, V, Uitterlinden, AG, Umbricht, D, Van der Auwera, S, van Hemert, AM, Viktorin, A, Visscher, PM, Wang, Y, Webb, BT, Weinsheimer, SM, Wellmann, J, Willemsen, G, Witt, SH, Wu, Y, Xi, HS, Yang, J, Zhang, F, Arolt, V, Baune, BT, Berger, K, Boomsma, D, Cichon, S, Dannlowski, U, de Geus, EJC, DePaulo, JR, Domenici, E, Domschke, K, Esko, T, Grabe, HJ, Hamilton, SP, Hayward, C, Heath, AC, Kendler, KS, Kloiber, S, Lewis, G, Li, QS, Lucae, S, Madden, PAF, Magnusson, PK, Martin, NG, McIntosh, AM, Metspalu, A, Mors, O, Mortensen, PB, Mueller-Myhsok, B, Nordentoft, M, Noethen, MM, O'Donovan, MC, Paciga, SA, Pedersen, NL, Penninx, BWJH, Perlis, RH, Porteous, DJ, Potash, JB, Preisig, M, Rietschel, M, Schaefer, C, Schulze, TG, Smoller, JW, Stefansson, K, Tiemeier, H, Uher, R, Voelzke, H, Weissman, MM, Werge, T, Lewis, CM, Levinson, DF, Borglum, AD, Sullivan, PF, Meier, S, Strauss, J, Xu, W, Vincent, JB, Matthews, K, Ferreira, M, O'Dushlaine, C, Purcell, S, Raychaudhuri, S, Ruderfer, DM, Sklar, P, Scott, LJ, Flickinger, M, Burmeister, M, Li, J, Guan, W, Absher, D, Thompson, RC, Meng, FG, Schatzberg, AF, Bunney, WE, Barchas, JD, Watson, SJ, Myers, RM, Akil, H, Boehnke, M, Chambert, K, Moran, J, Scolnick, E, Djurovic, S, Melle, I, Morken, G, Corvin, A, Anjorin, A, Kandaswamy, R, Lawrence, J, McLean, AW, Pickard, BS, Bergen, SE, Nimgaonkar, V, Landen, M, Schalling, M, Osby, U, Backlund, L, Frisen, L, Langstrom, N, Stahl, E, Dobbyn, A, Jamain, S, Etain, B, Bellivier, F, Leber, M, Maaser, A, Fischer, SB, Reinbold, CS, Kittel-Schneider, S, Fullerton, JM, Oruc, L, Para, JG, Mayoral, F, Rivas, F, Czerski, PM, Kammerer-Ciernioch, J, Vedder, H, Borrmann-Hassenbach, M, Pfennig, A, Brennan, P, McKay, JD, Kogevinas, M, Schwarz, M, Schofield, PR, Muehleisen, TW, Schumacher, J, Bauer, M, Wright, A, Mitchell, PB, Hautzinger, M, Kelsoe, JR, Greenwood, TA, Nievergelt, CM, Shilling, PD, Smith, EN, Bloss, CS, Edenberg, HJ, Koller, DL, Gershon, ES, Liu, C, Badner, JA, Scheftner, WA, Lawson, WB, Nwulia, EA, Hipolito, M, Coryell, W, Rice, J, Byerley, W, McMahon, FJ, Lohoff, FW, Zandi, PP, Mahon, PB, McInnis, MG, Zollner, S, Zhang, P, Szelinger, S, St Clair, D, Caesar, S, Gordon-Smith, K, Fraser, C, Green, EK, Grozeva, D, Hamshere, ML, Kirov, G, Nikolov, I, Collier, DA, Elkin, A, Williamson, R, Young, AH, Ferrier, IN, Milanova, V, Alda, M, Cervantes, P, Cruceanu, C, Rouleau, GA, Turecki, G, Paciga, S, Winslow, AR, Grigoroiu-Serbanescu, M, Ophoff, R, Adolfsson, R, Adolfsson, AN, Del-Favero, J, Pato, C, Biernacka, JM, Frye, MA, Morris, D, Schork, NJ, Reif, A, Lissowska, J, Hauser, J, Szeszenia-Dabrowska, N, McGhee, K, Quinn, E, Moskvina, V, Holmans, PA, Farmer, A, Kennedy, JL, Andreassen, OA, Mattingsdal, M, Bass, NJ, Gurling, H, McQuillin, A, Breuer, R, Hultman, C, Lichtenstein, P, Huckins, LM, Leboyer, M, Lathrop, M, Nurnberger, J, Steffens, M, Foroud, TM, Berrettini, WH, Craig, DW, Shi, J, de Jong, S, Abdalla Diniz, MJ, Saloma, A, Gadelha, A, Santoro, ML, Ota, VK, Noto, C, Curtis, C, Newhouse, SJ, Patel, H, Hall, LS, O'Reilly, PF, Belangero, S, Bressan, RA, Breen, G, Wray, NR, Ripke, S, Mattheisen, M, Trzaskowski, M, Byrne, EM, Abdellaoui, A, Adams, MJ, Agerbo, E, Air, TM, Andlauer, TFM, Bacanu, S-A, Baekvad-Hansen, M, Beekman, ATF, Bigdeli, TB, Binder, EB, Blackwood, DHR, Bryois, J, Buttenschon, HN, Bybjerg-Grauholm, J, Cai, N, Castelao, E, Christensen, JH, Clarke, T-K, Coleman, JR, Colodro-Conde, L, Couvy-Duchesne, B, Craddock, N, Crawford, GE, Davies, G, Deary, IJ, Degenhardt, F, Derks, EM, Direk, N, Dolan, C, Dunn, EC, Eley, TC, Escott-Price, V, Kiadeh, FFH, Finucane, HK, Forstner, AJ, Frank, J, Gaspar, HA, Gill, M, Goes, FS, Gordon, SD, Grove, J, Hansen, CS, Hansen, TF, Herms, S, Hickie, IB, Hoffmann, P, Homuth, G, Horn, C, Hottenga, J-J, Hougaard, DM, Ising, M, Jansen, R, Jones, I, Jones, LA, Jorgenson, E, Knowles, JA, Kohane, IS, Kraft, J, Kretzschmar, WW, Krogh, J, Kutalik, Z, Li, Y, Lind, PA, MacIntyre, DJ, MacKinnon, DF, Maier, RM, Maier, W, Marchini, J, Mbarek, H, Mcgrath, P, Mcguffin, P, Medland, SE, Mehta, D, Middeldorp, CM, Mihailov, E, Milaneschi, Y, Milani, L, Mondimore, FM, Montgomery, GW, Mostafavi, S, Mullins, N, Nauck, M, Ng, B, Nivard, MG, Nyholt, DR, Oskarsson, H, Owen, MJ, Painter, JN, Pedersen, CB, Pedersen, MG, Peterson, RE, Pettersson, E, Peyrot, WJ, Pistis, G, Posthuma, D, Quiroz, JA, Qvist, P, Rice, JP, Riley, BP, Rivera, M, Mirza, SS, Schoevers, R, Schulte, EC, Shen, L, Shyn, S, Sigurdsson, E, Sinnamon, GCB, Smit, JH, Smith, DJ, Stefansson, H, Steinberg, S, Streit, F, Strohmaier, J, Tansey, KE, Teismann, H, Teumer, A, Thompson, W, Thomson, PA, Thorgeirsson, TE, Traylor, M, Treutlein, J, Trubetskoy, V, Uitterlinden, AG, Umbricht, D, Van der Auwera, S, van Hemert, AM, Viktorin, A, Visscher, PM, Wang, Y, Webb, BT, Weinsheimer, SM, Wellmann, J, Willemsen, G, Witt, SH, Wu, Y, Xi, HS, Yang, J, Zhang, F, Arolt, V, Baune, BT, Berger, K, Boomsma, D, Cichon, S, Dannlowski, U, de Geus, EJC, DePaulo, JR, Domenici, E, Domschke, K, Esko, T, Grabe, HJ, Hamilton, SP, Hayward, C, Heath, AC, Kendler, KS, Kloiber, S, Lewis, G, Li, QS, Lucae, S, Madden, PAF, Magnusson, PK, Martin, NG, McIntosh, AM, Metspalu, A, Mors, O, Mortensen, PB, Mueller-Myhsok, B, Nordentoft, M, Noethen, MM, O'Donovan, MC, Paciga, SA, Pedersen, NL, Penninx, BWJH, Perlis, RH, Porteous, DJ, Potash, JB, Preisig, M, Rietschel, M, Schaefer, C, Schulze, TG, Smoller, JW, Stefansson, K, Tiemeier, H, Uher, R, Voelzke, H, Weissman, MM, Werge, T, Lewis, CM, Levinson, DF, Borglum, AD, Sullivan, PF, Meier, S, Strauss, J, Xu, W, Vincent, JB, Matthews, K, Ferreira, M, O'Dushlaine, C, Purcell, S, Raychaudhuri, S, Ruderfer, DM, Sklar, P, Scott, LJ, Flickinger, M, Burmeister, M, Li, J, Guan, W, Absher, D, Thompson, RC, Meng, FG, Schatzberg, AF, Bunney, WE, Barchas, JD, Watson, SJ, Myers, RM, Akil, H, Boehnke, M, Chambert, K, Moran, J, Scolnick, E, Djurovic, S, Melle, I, Morken, G, Corvin, A, Anjorin, A, Kandaswamy, R, Lawrence, J, McLean, AW, Pickard, BS, Bergen, SE, Nimgaonkar, V, Landen, M, Schalling, M, Osby, U, Backlund, L, Frisen, L, Langstrom, N, Stahl, E, Dobbyn, A, Jamain, S, Etain, B, Bellivier, F, Leber, M, Maaser, A, Fischer, SB, Reinbold, CS, Kittel-Schneider, S, Fullerton, JM, Oruc, L, Para, JG, Mayoral, F, Rivas, F, Czerski, PM, Kammerer-Ciernioch, J, Vedder, H, Borrmann-Hassenbach, M, Pfennig, A, Brennan, P, McKay, JD, Kogevinas, M, Schwarz, M, Schofield, PR, Muehleisen, TW, Schumacher, J, Bauer, M, Wright, A, Mitchell, PB, Hautzinger, M, Kelsoe, JR, Greenwood, TA, Nievergelt, CM, Shilling, PD, Smith, EN, Bloss, CS, Edenberg, HJ, Koller, DL, Gershon, ES, Liu, C, Badner, JA, Scheftner, WA, Lawson, WB, Nwulia, EA, Hipolito, M, Coryell, W, Rice, J, Byerley, W, McMahon, FJ, Lohoff, FW, Zandi, PP, Mahon, PB, McInnis, MG, Zollner, S, Zhang, P, Szelinger, S, St Clair, D, Caesar, S, Gordon-Smith, K, Fraser, C, Green, EK, Grozeva, D, Hamshere, ML, Kirov, G, Nikolov, I, Collier, DA, Elkin, A, Williamson, R, Young, AH, Ferrier, IN, Milanova, V, Alda, M, Cervantes, P, Cruceanu, C, Rouleau, GA, Turecki, G, Paciga, S, Winslow, AR, Grigoroiu-Serbanescu, M, Ophoff, R, Adolfsson, R, Adolfsson, AN, Del-Favero, J, Pato, C, Biernacka, JM, Frye, MA, Morris, D, Schork, NJ, Reif, A, Lissowska, J, Hauser, J, Szeszenia-Dabrowska, N, McGhee, K, Quinn, E, Moskvina, V, Holmans, PA, Farmer, A, Kennedy, JL, Andreassen, OA, Mattingsdal, M, Bass, NJ, Gurling, H, McQuillin, A, Breuer, R, Hultman, C, Lichtenstein, P, Huckins, LM, Leboyer, M, Lathrop, M, Nurnberger, J, Steffens, M, Foroud, TM, Berrettini, WH, Craig, DW, and Shi, J
- Abstract
Psychiatric disorders are thought to have a complex genetic pathology consisting of interplay of common and rare variation. Traditionally, pedigrees are used to shed light on the latter only, while here we discuss the application of polygenic risk scores to also highlight patterns of common genetic risk. We analyze polygenic risk scores for psychiatric disorders in a large pedigree (n ~ 260) in which 30% of family members suffer from major depressive disorder or bipolar disorder. Studying patterns of assortative mating and anticipation, it appears increased polygenic risk is contributed by affected individuals who married into the family, resulting in an increasing genetic risk over generations. This may explain the observation of anticipation in mood disorders, whereby onset is earlier and the severity increases over the generations of a family. Joint analyses of rare and common variation may be a powerful way to understand the familial genetics of psychiatric disorders.
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- 2018
69. Structural and Functional Brain Abnormalities Associated With Exposure to Different Childhood Trauma Subtypes: A Systematic Review of Neuroimaging Findings
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Cassiers, LLM, Sabbe, BGC, Schmaal, L, Veltman, DJ, Penninx, BWJH, Van den Eede, F, Cassiers, LLM, Sabbe, BGC, Schmaal, L, Veltman, DJ, Penninx, BWJH, and Van den Eede, F
- Abstract
Background: Childhood trauma subtypes sexual abuse, physical abuse, emotional maltreatment, and neglect may have differential effects on the brain that persist into adulthood. A systematic review of neuroimaging findings supporting these differential effects is as yet lacking. Objectives: The present systematic review aims to summarize the findings of controlled neuroimaging trials regarding long-term differential effects of trauma subtypes on the human brain. Methods: A systematic literature search was performed using the PubMed and PsycINFO databases from January 2017 up to and including January 2018. Additional papers were identified by a manual search in the reference lists of selected papers and of relevant review articles retrieved by the initial database search. Studies were then assessed for eligibility by the first author. Only original human studies directly comparing neuroimaging findings of exposed and unexposed individuals to well-defined emotional, physical or sexual childhood maltreatment while controlling for the effects of other subtypes were included. A visual summary of extracted data was made for neuroimaging modalities for which comparison between trauma subtypes was feasible, taking the studies' numbers and sample sizes into account. Results: The systematic literature search yielded 25 publications. Sexual abuse was associated with structural deficits in the reward circuit and genitosensory cortex and amygdalar hyperreactivity during sad autobiographic memory recall. Emotional maltreatment correlated with abnormalities in fronto-limbic socioemotional networks. In neglected individuals, white matter integrity and connectivity were disturbed in several brain networks involved in a variety of functions. Other abnormalities, such as reduced frontal cortical volume, were common to all maltreatment types. Conclusions: There is some evidence for long-term differential effects of trauma subtypes on the human brain. The observed alterations may result f
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- 2018
70. Publisher Correction: Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits
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Aravinda Chakravarti, Jennifer E. Huffman, Meixia Ren, Veikko Salomaa, Christopher Newton-Cheh, Johan Sundström, Alan L. James, Joris Deelen, Raha Pazoki, Michela Traglia, Tõnu Esko, Seppo Koskinen, Christopher J. O'Donnell, Csaba P. Kovesdy, Daniel I. Chasman, Paul F. O'Reilly, Roby Joehanes, Paul M. Ridker, G. Abecasis, Lars Lind, Dragana Vuckovic, Yingchang Lu, Antonietta Robino, Anders Hamsten, Muralidharan Sargurupremraj, Caterina Barbieri, Anne U. Jackson, Anna Morgan, Claudia Langenberg, Peter S. Braund, Rainer Rettig, Murielle Bochud, Vilmundur Gudnason, Eleftheria Zeggini, David J. Stott, Joop Jukema, Nick Shrine, Jun Ding, Olle Melander, Massimo Mangino, Borbala Mifsud, Frank H. Collins, Liewald Dcm., Tineka Blake, Peter K. Joshi, Yan V. Sun, Aarno Palotie, Maciej Tomaszewski, Jarvelin M-R., Kati Kristiansson, L. J. Launer, Sara M. Willems, Ian J. Deary, Christophe Tzourio, Alan J. Gow, Caroline Hayward, Guillaume Paré, Christopher Oldmeadow, John M. Starr, Paul Elliott, Morris A. Swertz, C M van Duijn, Sekar Kathiresan, Lorna M. Lopez, Neil R Poulter, Mike A. Nalls, Erik Ingelsson, Eric Boerwinkle, Catharina A. Hartman, Giorgia Girotto, Ben A. Oostra, Markus Perola, Paul Knekt, Lyytikäinen L-P., T.B. Harris, J. C. Bis, Harriëtte Riese, J. Marrugat, Samuli Ripatti, Howson Jmm., Archie Campbell, C M Lindgren, Adam S. Butterworth, Xiuqing Guo, Lin W-Y., Priyanka Nandakumar, David Mosen-Ansorena, Alison Pattie, Marco Brumat, Annette Peters, Georgios Ntritsos, Ivana Kolcic, Alexander Teumer, Ulf Gyllensten, Joanne Knight, Stella Trompet, K. Witkowska, Hottenga J-J., Tim D. Spector, Maris Laan, Vilmantas Giedraitis, Bram P. Prins, Loos Rjf., M. H. de Borst, Antti Jula, Lynda M. Rose, Massimiliano Cocca, Daniela Toniolo, Igor Rudan, P. J. van der Most, Fu Liang Ng, Heather J. Cordell, Walter Palmas, John Danesh, John Attia, Dan E. Arking, Ganesh Chauhan, C Gieger, P. van der Harst, Penninx Bwjh., Kristin L. Ayers, Germaine C. Verwoert, Bruce M. Psaty, Jaspal S. Kooner, Ruifang Li-Gao, Benjamin Lehne, Khaw K-T., Sandosh Padmanabhan, Franco Giulianini, Erwin P. Bottinger, Roberto Elosua, Christopher P. Nelson, Ozren Polasek, D.R. Velez Edwards, Martin Farrall, Ioanna Tzoulaki, Peter Vollenweider, Uwe Völker, Albertine J. Oldehinkel, Åsa Johansson, Helen R. Warren, Evan Tzanis, Albert V. Smith, Hwang S-J., Teresa Ferreira, E.J.C. de Geus, Evangelos Evangelou, Niek Verweij, R. J. Scott, Pekka Jousilahti, Elin Org, Stefan Enroth, Dorret I. Boomsma, Harry Campbell, Andrew D. Johnson, David Conen, James F. Wilson, Edward G. Lakatta, Anuj Goel, Raymond Noordam, Najaf Amin, David P. Strachan, Martin D. Tobin, Francesco Cucca, Doney Asf., Todd L. Edwards, Jerome I. Rotter, Mika Kähönen, Hugh Watkins, Rossella Sorice, John M. C. Connell, David S. Siscovick, Sébastien Thériault, Jian'an Luan, Marty Larson, Philippe Amouyel, A C Morrison, Louise V. Wain, Reedik Mägi, Jonathan Marten, Thibaud Boutin, Nabi Shah, Weihua Zhang, Palmer Cna., Daniela Ruggiero, Zhao J-H., Olli T. Raitakari, Bernard Keavney, Peter S. Sever, Philip S. Tsao, Jie Yao, André G. Uitterlinden, Marina Evangelou, Zoltán Kutalik, Robert A. Scott, Helena Schmidt, J. Tuomilehto, Nilesh J. Samani, Quang Tri Nguyen, John Michael Gaziano, Georg Ehret, Praveen Surendran, Terho Lehtimäki, Mark J. Caulfield, Denis C. Shields, Rick Jansen, Sarin A-P., Alice Stanton, Mattias Frånberg, Cumhur Y Demirkale, Stéphanie Debette, Paolo Gasparini, Ilaria Gandin, Simon Thom, Kent D. Taylor, Andrew D. Morris, Claudia P. Cabrera, Teemu J. Niiranen, Nicholas J. Wareham, Andrew P. Morris, Yasaman Saba, Daniel Levy, Aki S. Havulinna, Kelly Cho, Sarah E. Harris, Li Lin, Janina S. Ried, Michael R. Barnes, Sarah H. Wild, Patricia B. Munroe, Vergnaud A-C., Lorenz Risch, Rona J. Strawbridge, Y. Milaneschi, John C. Chambers, Yong Qian, Cristina Menni, Anubha Mahajan, Peter Almgren, Gary Davies, Jacklyn N. Hellwege, Elizabeth G. Holliday, A. Metspalu, Ilja M. Nolte, Peter J. Munson, He Gao, Marcus Dörr, Cinzia Sala, Peter P. Pramstaller, Teresa Nutile, Wilson Pwf., Gonneke Willemsen, Markku Laakso, Chiara Batini, Harold Snieder, Ibrahim Karaman, Adriana M. Hung, Reinhold Schmidt, R. de Mutsert, Michael Boehnke, Lili Milani, Alan F. Wright, Edith Hofer, Siim Sõber, Ahmad Vaez, Albert Hofman, Oscar H. Franco, Yongmei Liu, Tatijana Zemunik, Kenneth Rice, Veronique Vitart, Marina Ciullo, Niki Dimou, Morris J. Brown, Crysovalanto Mamasoula, A.M. Erzurumluoglu, Andrew A. Hicks, Ayush Giri, Dennis O. Mook-Kanamori, Home Office, UNIVERSITY OF OULU, Commission of the European Communities, Medical Research Council (MRC), Action on Hearing Loss, British Heart Foundation, National Institute for Health Research, Imperial College Healthcare NHS Trust- BRC Funding, and UK DRI Ltd
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Genetics & Heredity ,0301 basic medicine ,Netherlands Twin Register (NTR) ,Science & Technology ,computer.internet_protocol ,Million Veteran Program ,Genome-wide association study ,Computational biology ,06 Biological Sciences ,Biology ,Genetic analysis ,03 medical and health sciences ,030104 developmental biology ,Genetics ,Genome informatics ,ComputingMethodologies_DOCUMENTANDTEXTPROCESSING ,Life Sciences & Biomedicine ,computer ,11 Medical and Health Sciences ,XML ,Developmental Biology - Abstract
In the version of this article originally published, the name of author Martin H. de Borst was coded incorrectly in the XML. The error has now been corrected in the HTML version of the paper.
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- 2018
71. Correcting for cell-type effects in DNA methylation studies: reference-based method outperforms latent variable approaches in empirical studies
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Hattab, MW, Shabalin, AA, Clark, SL, Zhao, M, Kumar, G, Chan, RF, Xie, LY, Jansen, R, Han, LKM, Magnusson, PKE, van Grootheest, G, Hultman, CM, Penninx, BWJH, Aberg, KA, van den Oord, EJCG, Hattab, MW, Shabalin, AA, Clark, SL, Zhao, M, Kumar, G, Chan, RF, Xie, LY, Jansen, R, Han, LKM, Magnusson, PKE, van Grootheest, G, Hultman, CM, Penninx, BWJH, Aberg, KA, and van den Oord, EJCG
- Abstract
Based on an extensive simulation study, McGregor and colleagues recently recommended the use of surrogate variable analysis (SVA) to control for the confounding effects of cell-type heterogeneity in DNA methylation association studies in scenarios where no cell-type proportions are available. As their recommendation was mainly based on simulated data, we sought to replicate findings in two large-scale empirical studies. In our empirical data, SVA did not fully correct for cell-type effects, its performance was somewhat unstable, and it carried a risk of missing true signals caused by removing variation that might be linked to actual disease processes. By contrast, a reference-based correction method performed well and did not show these limitations. A disadvantage of this approach is that if reference methylomes are not (publicly) available, they will need to be generated once for a small set of samples. However, given the notable risk we observed for cell-type confounding, we argue that, to avoid introducing false-positive findings into the literature, it could be well worth making this investment.Please see related Correspondence article: https://genomebiology.biomedcentral.com/articles/10/1186/s13059-017-1149-7 and related Research article: https://genomebiology.biomedcentral.com/articles/10.1186/s13059-016-0935-y.
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- 2017
72. Genome-wide association study of borderline personality disorder reveals genetic overlap with bipolar disorder, major depression and schizophrenia
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Witt, SH, Streit, F, Jungkunz, M, Frank, J, Awasthi, S, Reinbold, CS, Treutlein, J, Degenhardt, F, Forstner, AJ, Heilmann-Heimbach, S, Dietl, L, Schwarze, CE, Schendel, D, Strohmaier, J, Abdellaoui, A, Adolfsson, R, Air, TM, Akil, H, Alda, M, Alliey-Rodriguez, N, Andreassen, OA, Babadjanova, G, Bass, NJ, Bauer, M, Baune, BT, Bellivier, F, Bergen, S, Bethell, A, Biernacka, JM, Blackwood, DHR, Boks, MP, Boomsma, DI, Borglum, AD, Borrmann-Hassenbach, M, Brennan, P, Budde, M, Buttenschon, HN, Byrne, EM, Cervantes, P, Clarke, T-K, Craddock, N, Cruceanu, C, Curtis, D, Czerski, PM, Dannlowski, U, Davis, T, de Geus, EJC, Di Florio, A, Djurovic, S, Domenici, E, Edenberg, HJ, Etain, B, Fischer, SB, Forty, L, Fraser, C, Frye, MA, Fullerton, JM, Gade, K, Gershon, ES, Giegling, I, Gordon, SD, Gordon-Smith, K, Grabe, HJ, Green, EK, Greenwood, TA, Grigoroiu-Serbanescu, M, Guzman-Parra, J, Hall, LS, Hamshere, M, Hauser, J, Hautzinger, M, Heilbronner, U, Herms, S, Hitturlingappa, S, Hoffmann, P, Holmans, P, Hottenga, J-J, Jamain, S, Jones, I, Jones, LA, Jureus, A, Kahn, RS, Kammerer-Ciernioch, J, Kirov, G, Kittel-Schneider, S, Kloiber, S, Knott, SV, Kogevinas, M, Landen, M, Leber, M, Leboyer, M, Li, QS, Lissowska, J, Lucae, S, Martin, NG, Mayoral-Cleries, F, McElroy, SL, McIntosh, AM, McKay, JD, McQuillin, A, Medland, SE, Middeldorp, CM, Milaneschi, Y, Mitchell, PB, Montgomery, GW, Morken, G, Mors, O, Muehleisen, TW, Mueller-Myhsok, B, Myers, RM, Nievergelt, CM, Nurnberger, JI, O'Donovan, MC, Loohuis, LMO, Ophoff, R, Oruc, L, Owen, MJ, Paciga, SA, Penninx, BWJH, Perry, A, Pfennig, A, Potash, JB, Preisig, M, Reif, A, Rivas, F, Rouleau, GA, Schofield, PR, Schulze, TG, Schwarz, M, Scott, L, Sinnamon, GCB, Stahl, EA, Strauss, J, Turecki, G, Van der Auwera, S, Vedder, H, Vincent, JB, Willemsen, G, Witt, CC, Wray, NR, Xi, HS, Tadic, A, Dahmen, N, Schott, BH, Cichon, S, Noethen, MM, Ripke, S, Mobascher, A, Rujescu, D, Lieb, K, Roepke, S, Schmahl, C, Bohus, M, Rietschel, M, Witt, SH, Streit, F, Jungkunz, M, Frank, J, Awasthi, S, Reinbold, CS, Treutlein, J, Degenhardt, F, Forstner, AJ, Heilmann-Heimbach, S, Dietl, L, Schwarze, CE, Schendel, D, Strohmaier, J, Abdellaoui, A, Adolfsson, R, Air, TM, Akil, H, Alda, M, Alliey-Rodriguez, N, Andreassen, OA, Babadjanova, G, Bass, NJ, Bauer, M, Baune, BT, Bellivier, F, Bergen, S, Bethell, A, Biernacka, JM, Blackwood, DHR, Boks, MP, Boomsma, DI, Borglum, AD, Borrmann-Hassenbach, M, Brennan, P, Budde, M, Buttenschon, HN, Byrne, EM, Cervantes, P, Clarke, T-K, Craddock, N, Cruceanu, C, Curtis, D, Czerski, PM, Dannlowski, U, Davis, T, de Geus, EJC, Di Florio, A, Djurovic, S, Domenici, E, Edenberg, HJ, Etain, B, Fischer, SB, Forty, L, Fraser, C, Frye, MA, Fullerton, JM, Gade, K, Gershon, ES, Giegling, I, Gordon, SD, Gordon-Smith, K, Grabe, HJ, Green, EK, Greenwood, TA, Grigoroiu-Serbanescu, M, Guzman-Parra, J, Hall, LS, Hamshere, M, Hauser, J, Hautzinger, M, Heilbronner, U, Herms, S, Hitturlingappa, S, Hoffmann, P, Holmans, P, Hottenga, J-J, Jamain, S, Jones, I, Jones, LA, Jureus, A, Kahn, RS, Kammerer-Ciernioch, J, Kirov, G, Kittel-Schneider, S, Kloiber, S, Knott, SV, Kogevinas, M, Landen, M, Leber, M, Leboyer, M, Li, QS, Lissowska, J, Lucae, S, Martin, NG, Mayoral-Cleries, F, McElroy, SL, McIntosh, AM, McKay, JD, McQuillin, A, Medland, SE, Middeldorp, CM, Milaneschi, Y, Mitchell, PB, Montgomery, GW, Morken, G, Mors, O, Muehleisen, TW, Mueller-Myhsok, B, Myers, RM, Nievergelt, CM, Nurnberger, JI, O'Donovan, MC, Loohuis, LMO, Ophoff, R, Oruc, L, Owen, MJ, Paciga, SA, Penninx, BWJH, Perry, A, Pfennig, A, Potash, JB, Preisig, M, Reif, A, Rivas, F, Rouleau, GA, Schofield, PR, Schulze, TG, Schwarz, M, Scott, L, Sinnamon, GCB, Stahl, EA, Strauss, J, Turecki, G, Van der Auwera, S, Vedder, H, Vincent, JB, Willemsen, G, Witt, CC, Wray, NR, Xi, HS, Tadic, A, Dahmen, N, Schott, BH, Cichon, S, Noethen, MM, Ripke, S, Mobascher, A, Rujescu, D, Lieb, K, Roepke, S, Schmahl, C, Bohus, M, and Rietschel, M
- Abstract
Borderline personality disorder (BOR) is determined by environmental and genetic factors, and characterized by affective instability and impulsivity, diagnostic symptoms also observed in manic phases of bipolar disorder (BIP). Up to 20% of BIP patients show comorbidity with BOR. This report describes the first case-control genome-wide association study (GWAS) of BOR, performed in one of the largest BOR patient samples worldwide. The focus of our analysis was (i) to detect genes and gene sets involved in BOR and (ii) to investigate the genetic overlap with BIP. As there is considerable genetic overlap between BIP, major depression (MDD) and schizophrenia (SCZ) and a high comorbidity of BOR and MDD, we also analyzed the genetic overlap of BOR with SCZ and MDD. GWAS, gene-based tests and gene-set analyses were performed in 998 BOR patients and 1545 controls. Linkage disequilibrium score regression was used to detect the genetic overlap between BOR and these disorders. Single marker analysis revealed no significant association after correction for multiple testing. Gene-based analysis yielded two significant genes: DPYD (P=4.42 × 10-7) and PKP4 (P=8.67 × 10-7); and gene-set analysis yielded a significant finding for exocytosis (GO:0006887, PFDR=0.019; FDR, false discovery rate). Prior studies have implicated DPYD, PKP4 and exocytosis in BIP and SCZ. The most notable finding of the present study was the genetic overlap of BOR with BIP (rg=0.28 [P=2.99 × 10-3]), SCZ (rg=0.34 [P=4.37 × 10-5]) and MDD (rg=0.57 [P=1.04 × 10-3]). We believe our study is the first to demonstrate that BOR overlaps with BIP, MDD and SCZ on the genetic level. Whether this is confined to transdiagnostic clinical symptoms should be examined in future studies.
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- 2017
73. Genome-wide Regional Heritability Mapping Identifies a Locus Within the TOX2 Gene Associated With Major Depressive Disorder
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Zeng, Y, Navarro, P, Shirali, M, Howard, DM, Adams, MJ, Hall, LS, Clarke, T-K, Thomson, PA, Smith, BH, Murray, A, Padmanabhan, S, Hayward, C, Boutin, T, MacIntyre, DJ, Lewis, CM, Wray, NR, Mehta, D, Penninx, BWJH, Milaneschi, Y, Baune, BT, Air, T, Hottenga, J-J, Mbarek, H, Castelao, E, Pistis, G, Schulze, TG, Streit, F, Forstner, AJ, Byrne, EM, Martin, NG, Breen, G, Mueller-Myhsok, B, Lucae, S, Kloiber, S, Domenici, E, Deary, IJ, Porteous, DJ, Haley, CS, McIntosh, AM, Zeng, Y, Navarro, P, Shirali, M, Howard, DM, Adams, MJ, Hall, LS, Clarke, T-K, Thomson, PA, Smith, BH, Murray, A, Padmanabhan, S, Hayward, C, Boutin, T, MacIntyre, DJ, Lewis, CM, Wray, NR, Mehta, D, Penninx, BWJH, Milaneschi, Y, Baune, BT, Air, T, Hottenga, J-J, Mbarek, H, Castelao, E, Pistis, G, Schulze, TG, Streit, F, Forstner, AJ, Byrne, EM, Martin, NG, Breen, G, Mueller-Myhsok, B, Lucae, S, Kloiber, S, Domenici, E, Deary, IJ, Porteous, DJ, Haley, CS, and McIntosh, AM
- Abstract
BACKGROUND: Major depressive disorder (MDD) is the second largest cause of global disease burden. It has an estimated heritability of 37%, but published genome-wide association studies have so far identified few risk loci. Haplotype-block-based regional heritability mapping (HRHM) estimates the localized genetic variance explained by common variants within haplotype blocks, integrating the effects of multiple variants, and may be more powerful for identifying MDD-associated genomic regions. METHODS: We applied HRHM to Generation Scotland: The Scottish Family Health Study, a large family- and population-based Scottish cohort (N = 19,896). Single-single nucleotide polymorphism (SNP) and haplotype-based association tests were used to localize the association signal within the regions identified by HRHM. Functional prediction was used to investigate the effect of MDD-associated SNPs within the regions. RESULTS: A haplotype block across a 24-kb region within the TOX2 gene reached genome-wide significance in HRHM. Single-SNP- and haplotype-based association tests demonstrated that five of nine genotyped SNPs and two haplotypes within this block were significantly associated with MDD. The expression of TOX2 and a brain-specific long noncoding RNA RP1-269M15.3 in frontal cortex and nucleus accumbens basal ganglia, respectively, were significantly regulated by MDD-associated SNPs within this region. Both the regional heritability and single-SNP associations within this block were replicated in the UK-Ireland group of the most recent release of the Psychiatric Genomics Consortium (PGC), the PGC2-MDD (Major Depression Dataset). The SNP association was also replicated in a depressive symptom sample that shares some individuals with the PGC2-MDD. CONCLUSIONS: This study highlights the value of HRHM for MDD and provides an important target within TOX2 for further functional studies.
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- 2017
74. Novel genetic loci associated with hippocampal volume
- Author
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Hibar, DP, Adams, HHH, Jahanshad, N, Chauhan, G, Stein, JL, Hofer, E, Renteria, ME, Bis, JC, Arias-Vasquez, A, Ikram, MK, Desrivieres, S, Vernooij, MW, Abramovic, L, Alhusaini, S, Amin, N, Andersson, M, Arfanakis, K, Aribisala, BS, Armstrong, NJ, Athanasiu, L, Axelsson, T, Beecham, AH, Beiser, A, Bernard, M, Blanton, SH, Bohlken, MM, Boks, MP, Bralten, J, Brickman, AM, Carmichael, O, Chakravarty, MM, Chen, Q, Ching, CRK, Chouraki, V, Cuellar-Partida, G, Crivello, F, Den Braber, A, Nhat, TD, Ehrlich, S, Giddaluru, S, Goldman, AL, Gottesman, RF, Grimm, O, Griswold, ME, Guadalupe, T, Gutman, BA, Hass, J, Haukvik, UK, Hoehn, D, Holmes, AJ, Hoogman, M, Janowitz, D, Jia, T, Jorgensen, KN, Karbalai, N, Kasperaviciute, D, Kim, S, Klein, M, Kraemer, B, Lee, PH, Liewald, DCM, Lopez, LM, Luciano, M, Macare, C, Marquand, AF, Matarin, M, Mather, KA, Mattheisen, M, McKay, DR, Milaneschi, Y, Maniega, SM, Nho, K, Nugent, AC, Nyquist, P, Loohuis, LMO, Oosterlaan, J, Papmeyer, M, Pirpamer, L, Puetz, B, Ramasamy, A, Richards, JS, Risacher, SL, Roiz-Santianez, R, Rommelse, N, Ropele, S, Rose, EJ, Royle, NA, Rundek, T, Saemann, PG, Saremi, A, Satizabal, CL, Schmaal, L, Schork, AJ, Shen, L, Shin, J, Shumskaya, E, Smith, AV, Sprooten, E, Strike, LT, Teumer, A, Tordesillas-Gutierrez, D, Toro, R, Trabzuni, D, Trompet, S, Vaidya, D, Van der Grond, J, Van der Lee, SJ, Van der Meer, D, Van Donkelaar, MMJ, Van Eijk, KR, Van Erp, TGM, Van Rooij, D, Walton, E, Westlye, LT, Whelan, CD, Windham, BG, Winkler, AM, Wittfeld, K, Woldehawariat, G, Wolf, C, Wolfers, T, Yanek, LR, Yang, J, Zijdenbos, A, Zwiers, MP, Agartz, I, Almasy, L, Ames, D, Amouyel, P, Andreassen, OA, Arepalli, S, Assareh, AA, Barral, S, Bastin, ME, Becker, DM, Becker, JT, Bennett, DA, Blangero, J, van Bokhoven, H, Boomsma, DI, Brodaty, H, Brouwer, RM, Brunner, HG, Buckner, RL, Buitelaar, JK, Bulayeva, KB, Cahn, W, Calhoun, VD, Cannon, DM, Cavalleri, GL, Cheng, C-Y, Cichon, S, Cookson, MR, Corvin, A, Crespo-Facorro, B, Curran, JE, Czisch, M, Dale, AM, Davies, GE, De Craen, AJM, De Geus, EJC, De Jager, PL, De Zubicaray, GI, Deary, IJ, Debette, S, DeCarli, C, Delanty, N, Depondt, C, DeStefano, A, Dillman, A, Djurovic, S, Donohoe, G, Drevets, WC, Duggirala, R, Dyer, TD, Enzinger, C, Erk, S, Espeseth, T, Fedko, IO, Fernandez, G, Ferrucci, L, Fisher, SE, Fleischman, DA, Ford, I, Fornage, M, Foroud, TM, Fox, PT, Francks, C, Fukunaga, M, Gibbs, JR, Glahn, DC, Gollub, RL, Goring, HHH, Green, RC, Gruber, O, Gudnason, V, Guelfi, S, Haberg, AK, Hansell, NK, Hardy, J, Hartman, CA, Hashimoto, R, Hegenscheid, K, Heinz, A, Le Hellard, S, Hernandez, DG, Heslenfeld, DJ, Ho, B-C, Hoekstra, PJ, Hoffmann, W, Hofman, A, Holsboer, F, Homuth, G, Hosten, N, Hottenga, J-J, Huentelman, M, Pol, HEH, Ikeda, M, Jack, CR, Jenkinson, M, Johnson, R, Joensson, EG, Jukema, JW, Kahn, RS, Kanai, R, Kloszewska, I, Knopman, DS, Kochunov, P, Kwok, JB, Lawrie, SM, Lemaitre, H, Liu, X, Longo, DL, Lopez, OL, Lovestone, S, Martinez, O, Martinot, J-L, Mattay, VS, McDonald, C, McIntosh, AM, McMahon, FJ, McMahon, KL, Mecocci, P, Melle, I, Meyer-Lindenberg, A, Mohnke, S, Montgomery, GW, Morris, DW, Mosley, TH, Muhleisen, TW, Mueller-Myhsok, B, Nalls, MA, Nauck, M, Nichols, TE, Niessen, WJ, Nothen, MM, Nyberg, L, Ohi, K, Olvera, RL, Ophoff, RA, Pandolfo, M, Paus, T, Pausova, Z, Penninx, BWJH, Pike, GB, Potkin, SG, Psaty, BM, Reppermund, S, Rietschel, M, Roffman, JL, Romanczuk-Seiferth, N, Rotter, JI, Ryten, M, Sacco, RL, Sachdev, PS, Saykin, AJ, Schmidt, R, Schmidt, H, Schofield, PR, Sigursson, S, Simmons, A, Singleton, A, Sisodiya, SM, Smith, C, Smoller, JW, Soininen, H, Steen, VM, Stott, DJ, Sussmann, JE, Thalamuthu, A, Toga, AW, Traynor, BJ, Troncoso, J, Tsolaki, M, Tzourio, C, Uitterlinden, AG, Hernandez, MCV, Van der Brug, M, van der Lugt, A, van der Wee, NJA, Van Haren, NEM, van't Ent, D, Van Tol, M-J, Vardarajan, BN, Vellas, B, Veltman, DJ, Voelzke, H, Walter, H, Wardlaw, JM, Wassink, TH, Weale, ME, Weinberger, DR, Weiner, MW, Wen, W, Westman, E, White, T, Wong, TY, Wright, CB, Zielke, RH, Zonderman, AB, Martin, NG, Van Duijn, CM, Wright, MJ, Longstreth, WT, Schumann, G, Grabe, HJ, Franke, B, Launer, LJ, Medland, SE, Seshadri, S, Thompson, PM, Ikram, MA, Hibar, DP, Adams, HHH, Jahanshad, N, Chauhan, G, Stein, JL, Hofer, E, Renteria, ME, Bis, JC, Arias-Vasquez, A, Ikram, MK, Desrivieres, S, Vernooij, MW, Abramovic, L, Alhusaini, S, Amin, N, Andersson, M, Arfanakis, K, Aribisala, BS, Armstrong, NJ, Athanasiu, L, Axelsson, T, Beecham, AH, Beiser, A, Bernard, M, Blanton, SH, Bohlken, MM, Boks, MP, Bralten, J, Brickman, AM, Carmichael, O, Chakravarty, MM, Chen, Q, Ching, CRK, Chouraki, V, Cuellar-Partida, G, Crivello, F, Den Braber, A, Nhat, TD, Ehrlich, S, Giddaluru, S, Goldman, AL, Gottesman, RF, Grimm, O, Griswold, ME, Guadalupe, T, Gutman, BA, Hass, J, Haukvik, UK, Hoehn, D, Holmes, AJ, Hoogman, M, Janowitz, D, Jia, T, Jorgensen, KN, Karbalai, N, Kasperaviciute, D, Kim, S, Klein, M, Kraemer, B, Lee, PH, Liewald, DCM, Lopez, LM, Luciano, M, Macare, C, Marquand, AF, Matarin, M, Mather, KA, Mattheisen, M, McKay, DR, Milaneschi, Y, Maniega, SM, Nho, K, Nugent, AC, Nyquist, P, Loohuis, LMO, Oosterlaan, J, Papmeyer, M, Pirpamer, L, Puetz, B, Ramasamy, A, Richards, JS, Risacher, SL, Roiz-Santianez, R, Rommelse, N, Ropele, S, Rose, EJ, Royle, NA, Rundek, T, Saemann, PG, Saremi, A, Satizabal, CL, Schmaal, L, Schork, AJ, Shen, L, Shin, J, Shumskaya, E, Smith, AV, Sprooten, E, Strike, LT, Teumer, A, Tordesillas-Gutierrez, D, Toro, R, Trabzuni, D, Trompet, S, Vaidya, D, Van der Grond, J, Van der Lee, SJ, Van der Meer, D, Van Donkelaar, MMJ, Van Eijk, KR, Van Erp, TGM, Van Rooij, D, Walton, E, Westlye, LT, Whelan, CD, Windham, BG, Winkler, AM, Wittfeld, K, Woldehawariat, G, Wolf, C, Wolfers, T, Yanek, LR, Yang, J, Zijdenbos, A, Zwiers, MP, Agartz, I, Almasy, L, Ames, D, Amouyel, P, Andreassen, OA, Arepalli, S, Assareh, AA, Barral, S, Bastin, ME, Becker, DM, Becker, JT, Bennett, DA, Blangero, J, van Bokhoven, H, Boomsma, DI, Brodaty, H, Brouwer, RM, Brunner, HG, Buckner, RL, Buitelaar, JK, Bulayeva, KB, Cahn, W, Calhoun, VD, Cannon, DM, Cavalleri, GL, Cheng, C-Y, Cichon, S, Cookson, MR, Corvin, A, Crespo-Facorro, B, Curran, JE, Czisch, M, Dale, AM, Davies, GE, De Craen, AJM, De Geus, EJC, De Jager, PL, De Zubicaray, GI, Deary, IJ, Debette, S, DeCarli, C, Delanty, N, Depondt, C, DeStefano, A, Dillman, A, Djurovic, S, Donohoe, G, Drevets, WC, Duggirala, R, Dyer, TD, Enzinger, C, Erk, S, Espeseth, T, Fedko, IO, Fernandez, G, Ferrucci, L, Fisher, SE, Fleischman, DA, Ford, I, Fornage, M, Foroud, TM, Fox, PT, Francks, C, Fukunaga, M, Gibbs, JR, Glahn, DC, Gollub, RL, Goring, HHH, Green, RC, Gruber, O, Gudnason, V, Guelfi, S, Haberg, AK, Hansell, NK, Hardy, J, Hartman, CA, Hashimoto, R, Hegenscheid, K, Heinz, A, Le Hellard, S, Hernandez, DG, Heslenfeld, DJ, Ho, B-C, Hoekstra, PJ, Hoffmann, W, Hofman, A, Holsboer, F, Homuth, G, Hosten, N, Hottenga, J-J, Huentelman, M, Pol, HEH, Ikeda, M, Jack, CR, Jenkinson, M, Johnson, R, Joensson, EG, Jukema, JW, Kahn, RS, Kanai, R, Kloszewska, I, Knopman, DS, Kochunov, P, Kwok, JB, Lawrie, SM, Lemaitre, H, Liu, X, Longo, DL, Lopez, OL, Lovestone, S, Martinez, O, Martinot, J-L, Mattay, VS, McDonald, C, McIntosh, AM, McMahon, FJ, McMahon, KL, Mecocci, P, Melle, I, Meyer-Lindenberg, A, Mohnke, S, Montgomery, GW, Morris, DW, Mosley, TH, Muhleisen, TW, Mueller-Myhsok, B, Nalls, MA, Nauck, M, Nichols, TE, Niessen, WJ, Nothen, MM, Nyberg, L, Ohi, K, Olvera, RL, Ophoff, RA, Pandolfo, M, Paus, T, Pausova, Z, Penninx, BWJH, Pike, GB, Potkin, SG, Psaty, BM, Reppermund, S, Rietschel, M, Roffman, JL, Romanczuk-Seiferth, N, Rotter, JI, Ryten, M, Sacco, RL, Sachdev, PS, Saykin, AJ, Schmidt, R, Schmidt, H, Schofield, PR, Sigursson, S, Simmons, A, Singleton, A, Sisodiya, SM, Smith, C, Smoller, JW, Soininen, H, Steen, VM, Stott, DJ, Sussmann, JE, Thalamuthu, A, Toga, AW, Traynor, BJ, Troncoso, J, Tsolaki, M, Tzourio, C, Uitterlinden, AG, Hernandez, MCV, Van der Brug, M, van der Lugt, A, van der Wee, NJA, Van Haren, NEM, van't Ent, D, Van Tol, M-J, Vardarajan, BN, Vellas, B, Veltman, DJ, Voelzke, H, Walter, H, Wardlaw, JM, Wassink, TH, Weale, ME, Weinberger, DR, Weiner, MW, Wen, W, Westman, E, White, T, Wong, TY, Wright, CB, Zielke, RH, Zonderman, AB, Martin, NG, Van Duijn, CM, Wright, MJ, Longstreth, WT, Schumann, G, Grabe, HJ, Franke, B, Launer, LJ, Medland, SE, Seshadri, S, Thompson, PM, and Ikram, MA
- Abstract
The hippocampal formation is a brain structure integrally involved in episodic memory, spatial navigation, cognition and stress responsiveness. Structural abnormalities in hippocampal volume and shape are found in several common neuropsychiatric disorders. To identify the genetic underpinnings of hippocampal structure here we perform a genome-wide association study (GWAS) of 33,536 individuals and discover six independent loci significantly associated with hippocampal volume, four of them novel. Of the novel loci, three lie within genes (ASTN2, DPP4 and MAST4) and one is found 200 kb upstream of SHH. A hippocampal subfield analysis shows that a locus within the MSRB3 gene shows evidence of a localized effect along the dentate gyrus, subiculum, CA1 and fissure. Further, we show that genetic variants associated with decreased hippocampal volume are also associated with increased risk for Alzheimer's disease (rg=-0.155). Our findings suggest novel biological pathways through which human genetic variation influences hippocampal volume and risk for neuropsychiatric illness.
- Published
- 2017
75. Childhood adversity impacts on brain subcortical structures relevant to depression
- Author
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Frodl, T, Janowitz, D, Schmaal, L, Tozzi, L, Dobrowolny, H, Stein, DJ, Veltman, DJ, Wittfeld, K, van Erp, TGM, Jahanshad, N, Block, A, Hegenscheid, K, Voelzke, H, Lagopoulos, J, Hatton, SN, Hickie, IB, Frey, EM, Carballedo, A, Brooks, SJ, Vuletic, D, Uhlmann, A, Veer, IM, Walter, H, Schnell, K, Grotegerd, D, Arolt, V, Kugel, H, Schramm, E, Konrad, C, Zurowski, B, Baune, BT, van der Wee, NJA, van Tol, M-J, Penninx, BWJH, Thompson, PM, Hibar, DP, Dannlowski, U, Grabe, HJ, Frodl, T, Janowitz, D, Schmaal, L, Tozzi, L, Dobrowolny, H, Stein, DJ, Veltman, DJ, Wittfeld, K, van Erp, TGM, Jahanshad, N, Block, A, Hegenscheid, K, Voelzke, H, Lagopoulos, J, Hatton, SN, Hickie, IB, Frey, EM, Carballedo, A, Brooks, SJ, Vuletic, D, Uhlmann, A, Veer, IM, Walter, H, Schnell, K, Grotegerd, D, Arolt, V, Kugel, H, Schramm, E, Konrad, C, Zurowski, B, Baune, BT, van der Wee, NJA, van Tol, M-J, Penninx, BWJH, Thompson, PM, Hibar, DP, Dannlowski, U, and Grabe, HJ
- Abstract
Childhood adversity plays an important role for development of major depressive disorder (MDD). There are differences in subcortical brain structures between patients with MDD and healthy controls, but the specific impact of childhood adversity on such structures in MDD remains unclear. Thus, aim of the present study was to investigate whether childhood adversity is associated with subcortical volumes and how it interacts with a diagnosis of MDD and sex. Within the ENIGMA-MDD network, nine university partner sites, which assessed childhood adversity and magnetic resonance imaging in patients with MDD and controls, took part in the current joint mega-analysis. In this largest effort world-wide to identify subcortical brain structure differences related to childhood adversity, 3036 participants were analyzed for subcortical brain volumes using FreeSurfer. A significant interaction was evident between childhood adversity, MDD diagnosis, sex, and region. Increased exposure to childhood adversity was associated with smaller caudate volumes in females independent of MDD. All subcategories of childhood adversity were negatively associated with caudate volumes in females - in particular emotional neglect and physical neglect (independently from age, ICV, imaging site and MDD diagnosis). There was no interaction effect between childhood adversity and MDD diagnosis on subcortical brain volumes. Childhood adversity is one of the contributors to brain structural abnormalities. It is associated with subcortical brain abnormalities that are relevant to psychiatric disorders such as depression.
- Published
- 2017
76. Correction: Genome-wide physical activity interactions in adiposity - A meta-analysis of 200,452 adults.
- Author
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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., Xue, L., Workalemahu, T., Heard-Costa, N.L., den Hoed, M., Ahluwalia, T.S., Qi, Q., Ngwa, J.S., Renström, F., Quaye, L., Eicher, J.D., Hayes, J.E., Cornelis, M., Kutalik, Z., Lim, E., Luan, J., Huffman, J.E., Zhang, W., Zhao, W., Griffin, P.J., Haller, T., Ahmad, S., Marques-Vidal, P.M., Bien, S., Yengo, L., Teumer, A., Smith, A.V., Kumari, M., Harder, M.N., Justesen, J.M., Kleber, M.E., Hollensted, M., Lohman, K., Rivera, N.V., Whitfield, J.B., Zhao, J.H., Stringham, H.M., Lyytikäinen, L.P., Huppertz, C., Willemsen, G., Peyrot, W.J., Wu, Y., Kristiansson, K., Demirkan, A., Fornage, M., Hassinen, M., Bielak, L.F., Cadby, G., Tanaka, T., Mägi, R., van der Most, P.J., Jackson, A.U., Bragg-Gresham, J.L., Vitart, V., Marten, J., Navarro, P., Bellis, C., Pasko, D., Johansson, Å., Snitker, S., Cheng, Y.C., Eriksson, J., Lim, U., Aadahl, M., Adair, L.S., Amin, N., Balkau, B., Auvinen, J., Beilby, J., Bergman, R.N., Bergmann, S., Bertoni, A.G., Blangero, J., Bonnefond, A., Bonnycastle, L.L., Borja, J.B., Brage, S., Busonero, F., Buyske, S., Campbell, H., Chines, P.S., Collins, F.S., Corre, T., Smith, G.D., Delgado, G.E., Dueker, N., Dörr, M., Ebeling, T., Eiriksdottir, G., Esko, T., Faul, J.D., Fu, M., Færch, K., Gieger, C., Gläser, S., Gong, J., Gordon-Larsen, P., Grallert, H., Grammer, T.B., Grarup, N., van Grootheest, G., Harald, K., Hastie, N.D., Havulinna, A.S., Hernandez, D., Hindorff, L., Hocking, L.J., Holmens, O.L., Holzapfel, C., Hottenga, J.J., Huang, J., Huang, T., Hui, J., Huth, C., Hutri-Kähönen, N., James, A.L., Jansson, J.O., Jhun, M.A., Juonala, M., Kinnunen, L., Koistinen, H.A., Kolcic, I., Komulainen, P., Kuusisto, J., Kvaløy, K., Kähönen, M., Lakka, T.A., Launer, L.J., Lehne, B., Lindgren, C.M., Lorentzon, M., Luben, R., Marre, M., Milaneschi, Y., Monda, K.L., Montgomery, G.W., De Moor, MHM, Mulas, A., Müller-Nurasyid, M., Musk, A.W., Männikkö, R., Männistö, S., Narisu, N., Nauck, M., Nettleton, J.A., Nolte, I.M., Oldehinkel, A.J., Olden, M., Ong, K.K., Padmanabhan, S., Paternoster, L., Perez, J., Perola, M., Peters, A., Peters, U., Peyser, P.A., Prokopenko, I., Puolijoki, H., Raitakari, O.T., Rankinen, T., Rasmussen-Torvik, L.J., Rawal, R., Ridker, P.M., Rose, L.M., Rudan, I., Sarti, C., Sarzynski, M.A., Savonen, K., Scott, W.R., Sanna, S., Shuldiner, A.R., Sidney, S., Silbernagel, G., Smith, B.H., Smith, J.A., Snieder, H., Stančáková, A., Sternfeld, B., Swift, A.J., Tammelin, T., Tan, S.T., Thorand, B., Thuillier, D., Vandenput, L., Vestergaard, H., van Vliet-Ostaptchouk, J.V., Vohl, M.C., Völker, U., Waeber, G., Walker, M., Wild, S., Wong, A., Wright, A.F., Zillikens, M.C., Zubair, N., Haiman, C.A., Lemarchand, L., Gyllensten, U., Ohlsson, C., Hofman, A., Rivadeneira, F., Uitterlinden, A.G., Pérusse, L., Wilson, J.F., Hayward, C., Polasek, O., Cucca, F., Hveem, K., Hartman, C.A., Tönjes, A., Bandinelli, S., Palmer, L.J., Kardia, SLR, Rauramaa, R., Sørensen, TIA, Tuomilehto, J., Salomaa, V., Penninx, BWJH, de Geus, EJC, Boomsma, D.I., Lehtimäki, T., Mangino, M., Laakso, M., Bouchard, C., Martin, N.G., Kuh, D., Liu, Y., Linneberg, A., März, W., Strauch, K., Kivimäki, M., Harris, T.B., Gudnason, V., Völzke, H., Qi, L., Järvelin, M.R., Chambers, J.C., Kooner, J.S., Froguel, P., Kooperberg, C., Vollenweider, P., Hallmans, G., Hansen, T., Pedersen, O., Metspalu, A., Wareham, N.J., Langenberg, C., Weir, D.R., Porteous, D.J., Boerwinkle, E., Chasman, D.I., CHARGE, Consortium, EPIC-InterAct, Consortium, PAGE, Consortium, Abecasis, G.R., Barroso, I., McCarthy, M.I., Frayling, T.M., O'Connell, J.R., van Duijn, C.M., Boehnke, M., Heid, I.M., Mohlke, K.L., Strachan, D.P., Fox, C.S., Liu, C.T., Hirschhorn, J.N., Klein, R.J., Johnson, A.D., Borecki, I.B., Franks, P.W., North, K.E., Cupples, L.A., Loos, RJF, Kilpeläinen, T.O., 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., Xue, L., Workalemahu, T., Heard-Costa, N.L., den Hoed, M., Ahluwalia, T.S., Qi, Q., Ngwa, J.S., Renström, F., Quaye, L., Eicher, J.D., Hayes, J.E., Cornelis, M., Kutalik, Z., Lim, E., Luan, J., Huffman, J.E., Zhang, W., Zhao, W., Griffin, P.J., Haller, T., Ahmad, S., Marques-Vidal, P.M., Bien, S., Yengo, L., Teumer, A., Smith, A.V., Kumari, M., Harder, M.N., Justesen, J.M., Kleber, M.E., Hollensted, M., Lohman, K., Rivera, N.V., Whitfield, J.B., Zhao, J.H., Stringham, H.M., Lyytikäinen, L.P., Huppertz, C., Willemsen, G., Peyrot, W.J., Wu, Y., Kristiansson, K., Demirkan, A., Fornage, M., Hassinen, M., Bielak, L.F., Cadby, G., Tanaka, T., Mägi, R., van der Most, P.J., Jackson, A.U., Bragg-Gresham, J.L., Vitart, V., Marten, J., Navarro, P., Bellis, C., Pasko, D., Johansson, Å., Snitker, S., Cheng, Y.C., Eriksson, J., Lim, U., Aadahl, M., Adair, L.S., Amin, N., Balkau, B., Auvinen, J., Beilby, J., Bergman, R.N., Bergmann, S., Bertoni, A.G., Blangero, J., Bonnefond, A., Bonnycastle, L.L., Borja, J.B., Brage, S., Busonero, F., Buyske, S., Campbell, H., Chines, P.S., Collins, F.S., Corre, T., Smith, G.D., Delgado, G.E., Dueker, N., Dörr, M., Ebeling, T., Eiriksdottir, G., Esko, T., Faul, J.D., Fu, M., Færch, K., Gieger, C., Gläser, S., Gong, J., Gordon-Larsen, P., Grallert, H., Grammer, T.B., Grarup, N., van Grootheest, G., Harald, K., Hastie, N.D., Havulinna, A.S., Hernandez, D., Hindorff, L., Hocking, L.J., Holmens, O.L., Holzapfel, C., Hottenga, J.J., Huang, J., Huang, T., Hui, J., Huth, C., Hutri-Kähönen, N., James, A.L., Jansson, J.O., Jhun, M.A., Juonala, M., Kinnunen, L., Koistinen, H.A., Kolcic, I., Komulainen, P., Kuusisto, J., Kvaløy, K., Kähönen, M., Lakka, T.A., Launer, L.J., Lehne, B., Lindgren, C.M., Lorentzon, M., Luben, R., Marre, M., Milaneschi, Y., Monda, K.L., Montgomery, G.W., De Moor, MHM, Mulas, A., Müller-Nurasyid, M., Musk, A.W., Männikkö, R., Männistö, S., Narisu, N., Nauck, M., Nettleton, J.A., Nolte, I.M., Oldehinkel, A.J., Olden, M., Ong, K.K., Padmanabhan, S., Paternoster, L., Perez, J., Perola, M., Peters, A., Peters, U., Peyser, P.A., Prokopenko, I., Puolijoki, H., Raitakari, O.T., Rankinen, T., Rasmussen-Torvik, L.J., Rawal, R., Ridker, P.M., Rose, L.M., Rudan, I., Sarti, C., Sarzynski, M.A., Savonen, K., Scott, W.R., Sanna, S., Shuldiner, A.R., Sidney, S., Silbernagel, G., Smith, B.H., Smith, J.A., Snieder, H., Stančáková, A., Sternfeld, B., Swift, A.J., Tammelin, T., Tan, S.T., Thorand, B., Thuillier, D., Vandenput, L., Vestergaard, H., van Vliet-Ostaptchouk, J.V., Vohl, M.C., Völker, U., Waeber, G., Walker, M., Wild, S., Wong, A., Wright, A.F., Zillikens, M.C., Zubair, N., Haiman, C.A., Lemarchand, L., Gyllensten, U., Ohlsson, C., Hofman, A., Rivadeneira, F., Uitterlinden, A.G., Pérusse, L., Wilson, J.F., Hayward, C., Polasek, O., Cucca, F., Hveem, K., Hartman, C.A., Tönjes, A., Bandinelli, S., Palmer, L.J., Kardia, SLR, Rauramaa, R., Sørensen, TIA, Tuomilehto, J., Salomaa, V., Penninx, BWJH, de Geus, EJC, Boomsma, D.I., Lehtimäki, T., Mangino, M., Laakso, M., Bouchard, C., Martin, N.G., Kuh, D., Liu, Y., Linneberg, A., März, W., Strauch, K., Kivimäki, M., Harris, T.B., Gudnason, V., Völzke, H., Qi, L., Järvelin, M.R., Chambers, J.C., Kooner, J.S., Froguel, P., Kooperberg, C., Vollenweider, P., Hallmans, G., Hansen, T., Pedersen, O., Metspalu, A., Wareham, N.J., Langenberg, C., Weir, D.R., Porteous, D.J., Boerwinkle, E., Chasman, D.I., CHARGE, Consortium, EPIC-InterAct, Consortium, PAGE, Consortium, Abecasis, G.R., Barroso, I., McCarthy, M.I., Frayling, T.M., O'Connell, J.R., van Duijn, C.M., Boehnke, M., Heid, I.M., Mohlke, K.L., Strachan, D.P., Fox, C.S., Liu, C.T., Hirschhorn, J.N., Klein, R.J., Johnson, A.D., Borecki, I.B., Franks, P.W., North, K.E., Cupples, L.A., Loos, RJF, and Kilpeläinen, T.O.
- Abstract
[This corrects the article DOI: 10.1371/journal.pgen.1006528.].
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- 2017
77. Correction: Meta-analysis of 375,000 individuals identifies 38 susceptibility loci for migraine
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Gormley, P, Anttila, V, Winsvold, BS, Palta, P, Esko, T, Pers, TH, Farh, KH, Cuenca-Leon, E, Muona, M, Furlotte, NA, Kurth, T, Ingason, A, McMahon, G, Ligthart, L, Terwindt, GM, Kallela, M, Freilinger, TM, Ran, C, Gordon, SG, Stam, AH, Steinberg, S, Borck, G, Koiranen, M, Quaye, L, Adams, HHH, Lehtimäki, T, Sarin, AP, Wedenoja, J, Hinds, DA, Buring, JE, Schürks, M, Ridker, PM, Gudlaug Hrafnsdottir, M, Stefansson, H, Ring, SM, Hottenga, JJ, Penninx, BWJH, Färkkilä, M, Artto, V, Kaunisto, M, Vepsäläinen, S, Malik, R, Heath, AC, Madden, PAF, Martin, NG, Montgomery, GW, Kurki, MI, Kals, M, Mägi, R, Pärn, K, Hämäläinen, E, Huang, H, Byrnes, AE, Franke, L, Huang, J, Stergiakouli, E, Lee, PH, Sandor, C, Webber, C, Cader, Z, Muller-Myhsok, B, Schreiber, S, Meitinger, T, Eriksson, JG, Salomaa, V, Heikkilä, K, Loehrer, E, Uitterlinden, AG, Hofman, A, Van Duijn, CM, Cherkas, L, Pedersen, LM, Stubhaug, A, Nielsen, CS, Männikkö, M, Mihailov, E, Milani, L, Göbel, H, Esserlind, AL, Francke Christensen, A, Folkmann Hansen, T, Werge, T, Kaprio, J, Aromaa, AJ, Raitakari, O, Arfan Ikram, M, Spector, T, Järvelin, MR, Metspalu, A, Kubisch, C, Strachan, DP, Ferrari, MD, Belin, AC, Dichgans, M, Wessman, M, Van den Maagdenberg, AMJM, Zwart, JA, Boomsma, DI, and Davey Smith, G
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ComputingMethodologies_DOCUMENTANDTEXTPROCESSING ,06 Biological Sciences ,11 Medical and Health Sciences ,Developmental Biology - Abstract
In the version of this article initially published online, the affiliations for Bertram Muller-Myhsok and Patricia Pozo-Rosich were incorrect or incomplete. These errors have been corrected for the print, PDF and HTML versions of this article.
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- 2016
78. Size matters; but so does what you do with it! Response
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Schmaal, L, Veltman, DJ, van Erp, TGM, Saemann, PG, Frodl, T, Jahanshad, N, Loehrer, E, Vernooij, MW, Niessen, WJ, Ikram, MA, Wittfeld, K, Grabe, HJ, Block, A, Hegenscheid, K, Hoehn, D, Czisch, M, Lagopoulos, J, Hatton, SN, Hickie, IB, Goya-Maldonado, R, Kraemer, B, Gruber, O, Couvy-Duchesne, B, Renteria, ME, Strike, LT, Wright, MJ, de Zubicaray, GI, McMahon, KL, Medland, SE, Gillespie, NA, Hall, GB, van Velzen, LS, van Tol, M-J, van der Wee, NJ, Veer, IM, Walter, H, Schramm, E, Normann, C, Schoepf, D, Konrad, C, Zurowski, B, McIntosh, AM, Whalley, HC, Sussmann, JE, Godlewska, BR, Fischer, FH, Penninx, BWJH, Thompson, PM, Hibar, DP, Disorder, E-MD, Epidemiology, Radiology & Nuclear Medicine, Medical Informatics, and Neurology
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- 2016
79. Consistency of biological networks inferred from microarray and sequencing data
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Vinciotti, V, Wit, EC, Jansen, R, de Geus, EJCN, Penninx, BWJH, Boomsma, DI, and 't Hoen, PAC
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Gene regulatory network ,Next-generation sequencing ,Microarray ,Gaussian graphical models - Abstract
Background: Sparse Gaussian graphical models are popular for inferring biological networks, such as gene regulatory networks. In this paper, we investigate the consistency of these models across different data platforms, such as microarray and next generation sequencing, on the basis of a rich dataset containing samples that are profiled under both techniques as well as a large set of independent samples. Results: Our analysis shows that individual node variances can have a remarkable effect on the connectivity of the resulting network. Their inconsistency across platforms and the fact that the variability level of a node may not be linked to its regulatory role mean that, failing to scale the data prior to the network analysis, leads to networks that are not reproducible across different platforms and that may be misleading. Moreover, we show how the reproducibility of networks across different platforms is significantly higher if networks are summarised in terms of enrichment amongst functional groups of interest, such as pathways, rather than at the level of individual edges. Conclusions: Careful pre-processing of transcriptional data and summaries of networks beyond individual edges can improve the consistency of network inference across platforms. However, caution is needed at this stage in the (over)interpretation of gene regulatory networks inferred from biological data.
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- 2016
80. Meta-analysis of genome-wide association studies of anxiety disorders (vol 21, pg 1391, 2016)
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Otowa, T, Hek, Karin, Lee, Max, Byrne, EM, Mirza, Saira, Nivard, MG, Bigdeli, T, Aggen, SH, Adkins, D, Wolen, A, Fanous, A, Keller, MC, Castelao, E, Kutalik, Z, Auwera, SVD, Homuth, G, Nauck, M, Teumer, A, Milaneschi, Y, Hottenga, JJ, Direk, Nese, Hofman, Bert, Uitterlinden, André, Mulder, Niels, Henders, AK, Medland, SE, Gordon, S, Heath, AC, Madden, PAF, Pergadia, ML, van der Most, PJ, Nolte, IM, Oort, Floor, Hartman, CA, Oldehinkel, AJ, Preisig, M, Grabe, HJ, Middeldorp, CM, Penninx, BWJH, Boomsma, D, Martin, NG, Montgomery, G, Maher, BS, van den Oord, EJ, Wray, NR, Tiemeier, Henning, Hettema, JM, Epidemiology, Psychiatry, Internal Medicine, and Child and Adolescent Psychiatry / Psychology
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- 2016
81. Genome of the Netherlands population-specific imputations identify an ABCA6 variant associated with cholesterol levels
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Van Leeuwen, EM, Karssen, LC, Deelen, J, Isaacs, A, Medina-Gomez, C, Mbarek, H, Kanterakis, A, Trompet, S, Postmus, I, Verweij, N, Van Enckevort, DJ, Huffman, JE, White, CC, Feitosa, MF, Bartz, TM, Manichaikul, A, Joshi, PK, Peloso, GM, Deelen, P, Van Dijk, F, Willemsen, G, De Geus, EJ, Milaneschi, Y, Penninx, BWJH, Francioli, LC, Menelaou, A, Pulit, SL, Rivadeneira, F, Hofman, A, Oostra, BA, Franco, OH, Leach, IM, Beekman, M, De Craen, AJM, Uh, HW, Trochet, H, Hocking, LJ, Porteous, DJ, Sattar, N, Packard, CJ, Buckley, BM, Brody, JA, Bis, JC, Rotter, JI, Mychaleckyj, JC, Campbell, H, Duan, Q, Lange, LA, Wilson, JF, Hayward, C, Polasek, O, Vitart, V, Rudan, I, Wright, AF, Rich, SS, Psaty, BM, Borecki, IB, Kearney, PM, Stott, DJ, Cupples, LA, Jukema, JW, Van Der Harst, P, Sijbrands, EJ, Hottenga, JJ, Uitterlinden, AG, Swertz, MA, Van Ommen, GJB, De Bakker, PIW, Eline Slagboom, P, Boomsma, DI, Wijmenga, C, Van Duijn, CM, Neerincx, PBT, Elbers, CC, Palamara, PF, Peer, I, Abdellaoui, A, Kloosterman, WP, Van Oven, M, Vermaat, M, Li, M, Laros, JFJ, Stoneking, M, De Knijff, P, Kayser, M, Veldink, JH, Van Den Berg, LH, Byelas, H, Den Dunnen, JT, Dijkstra, M, Amin, N, Van Der Velde, KJ, and Van Setten, J
- Abstract
© 2015 Macmillan Publishers Limited. All rights reserved. Variants associated with blood lipid levels may be population-specific. To identify low-frequency variants associated with this phenotype, population-specific reference panels may be used. Here we impute nine large Dutch biobanks (∼35,000 samples) with the population-specific reference panel created by the Genome of the Netherlands Project and perform association testing with blood lipid levels. We report the discovery of five novel associations at four loci (P value
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- 2015
82. Determinants of hair cortisol and hair cortisone concentrations in adults
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Staufenbiel, Sabine, Penninx, BWJH, de Rijke, Yolanda, van den Akker, Erica, van Rossum, Liesbeth, Internal Medicine, Clinical Chemistry, and Pediatrics
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- 2015
83. Sex differences in serum markers of major depressive disorder in the Netherlands Study of Depression and Anxiety (NESDA)
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Ramsey, JM, Cooper, JD, Bot, M, Guest, PC, Lamers, F, Weickert, CS, Penninx, BWJH, Bahn, S, Ramsey, JM, Cooper, JD, Bot, M, Guest, PC, Lamers, F, Weickert, CS, Penninx, BWJH, and Bahn, S
- Abstract
Women have a consistently higher prevalence of major depressive disorder (MDD) than men. Hypotheses implicating hypothalamic-pituitary -adrenal, -gonadal, and -thyroid axes, immune response, genetic factors, and neurotransmitters have emerged to explain this difference. However, more evidence for these hypotheses is needed and new explanations must be explored. Here, we investigated sex differences in MDD markers using multiplex immunoassay measurements of 171 serum molecules in individuals enrolled in the Netherlands Study of Depression and Anxiety (NMDD = 231; Ncontrol = 365). We found 28 sex-dependent markers of MDD, as quantified by a significant interaction between sex and log2- transformed analyte concentration in a logistic regression with diagnosis (MDD/control) as the outcome variable (p<0.05; q<0.30). Among these were a number of male-specific associations between MDD and elevated levels of proteins involved in immune response, including C-reactive protein, trefoil factor 3, cystatin-C, fetuin-A, β2-microglobulin, CD5L, FASLG receptor, and tumor necrosis factor receptor 2. Furthermore, only male MDD could be classified with an accuracy greater than chance using the measured serum analytes (area under the ROC curve = 0.63). These findings may have consequences for the generalization of inflammatory hypotheses of depression to males and females and have important implications for the development of diagnostic biomarker tests for MDD. More studies are needed to validate these results, investigate a broader range of biological pathways, and integrate this data with brain imaging, genetic, and other relevant data.
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- 2016
84. Effect of childhood maltreatment and brain-derived neurotrophic factor on brain morphology
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van Velzen, LS, Schmaal, L, Jansen, R, Milaneschi, Y, Opmeer, EM, Elzinga, BM, van der Wee, NJA, Veltman, DJ, Penninx, BWJH, van Velzen, LS, Schmaal, L, Jansen, R, Milaneschi, Y, Opmeer, EM, Elzinga, BM, van der Wee, NJA, Veltman, DJ, and Penninx, BWJH
- Abstract
Childhood maltreatment (CM) has been associated with altered brain morphology, which may partly be due to a direct impact on neural growth, e.g. through the brain-derived neurotrophic factor (BDNF) pathway. Findings on CM, BDNF and brain volume are inconsistent and have never accounted for the entire BDNF pathway. We examined the effects of CM, BDNF (genotype, gene expression and protein level) and their interactions on hippocampus, amygdala and anterior cingulate cortex (ACC) morphology. Data were collected from patients with depression and/or an anxiety disorder and healthy subjects within the Netherlands Study of Depression and Anxiety (NESDA) (N = 289). CM was assessed using the Childhood Trauma Interview. BDNF Val66Met genotype, gene expression and serum protein levels were determined in blood and T1 MRI scans were acquired at 3T. Regional brain morphology was assessed using FreeSurfer. Covariate-adjusted linear regression analyses were performed. Amygdala volume was lower in maltreated individuals. This was more pronounced in maltreated met-allele carriers. The expected positive relationship between BDNF gene expression and volume of the amygdala is attenuated in maltreated subjects. Finally, decreased cortical thickness of the ACC was identified in maltreated subjects with the val/val genotype. CM was associated with altered brain morphology, partly in interaction with multiple levels of the BNDF pathway. Our results suggest that CM has different effects on brain morphology in met-carriers and val-homozygotes and that CM may disrupt the neuroprotective effect of BDNF.
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- 2016
85. Genome-wide association study identifies 74 loci associated with educational attainment
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Okbay, Aysu, Beauchamp, JP, Fontana, MA, Lee, JJ, Pers, TH, Rietveld, Niels, Turley, P, Chen, GB, Emilsson, V, Meddens, SFW, Oskarsson, S, Pickrell, JK, Thom, K, Timshel, P, Vlaming, Ronald, Abdellaoui, A, Ahluwalia, TS, Bacelis, J, Baumbach, C, Bjornsdottir, G, Brandsma, Johan, Concas, MP, Derringer, J, Furlotte, NA, Galesloot, TE, Girotto, G, Gupta, R, Hall, LM, Harris, SE, Hofer, E, Horikoshi, M, Huffman, JE, Kaasik, K, Kalafati, IP, Karlsson, R, Kong, A, Lahti, J, van der Lee, Sven, de Leeuw, C, Lind, PA, Lindgren, KO, Liu, T, Mangino, M, Marten, J, Mihailov, E, Miller, MB, van der Most, PJ, Oldmeadow, C, Payton, A, Pervjakova, N, Peyrot, WJ, Qian, Y, Raitakari, O, Rueedi, R, Salvi, E, Schmidt, B, Schraut, KE, Shi, JX, Smith, AV, Poot, Raymond, St Pourcain, B, Teumer, A, Thorleifsson, G, Verweij, N (Niek), Vuckovic, D, Wellmann, J, Westra, HJ, Yang, JY, Zhao, W, Zhu, ZH, Alizadeh, BZ, Amin, Najaf, Bakshi, A, Baumeister, SE, Biino, G, Bonnelykke, K, Boyle, PA, Campbell, H, Cappuccio, FP, Davies, G, De Neve, JE, Deloukas, P, Demuth, I, Ding, J, Eibich, P, Eisele, L, Eklund, N, Evans, DM, Faul, JD, Feitosa, MF, Forstner, AJ, Gandin, I, Gunnarsson, B, Halldorsson, BV, Harris, TB, Heath, AC, Hocking, LJ, Holliday, EG, Homuth, G, Horan, MA, Hottenga, JJ, De Jager, PL, Joshi, PK, Jugessur, A, Kaakinen, MA, Kahonen, M, Kanoni, S, Keltigangas-Jarvinen, L, Kiemeney, LALM, Kolcic, I, Koskinen, S, Kraja, AT, Kroh, M, Kutalik, Z, Latvala, A, Launer, LJ, Lebreton, MP, Levinson, DF, Lichtenstein, P, Lichtner, P, Liewald, DCM, Loukola, A, Madden, PA, Magi, R, Maki-Opas, T, Marioni, RE, Marques-Vidal, P, Meddens, GA, McMahon, G, Meisinger, C, Meitinger, T, Milaneschi, Y, Milani, L, Montgomery, GW, Myhre, R, Nelson, CP, Nyholt, DR, Ollier, WER, Palotie, A, Paternoster, L, Pedersen, NL, Petrovic, KE, Porteous, DJ, Raikkonen, K, Ring, SM, Robino, A, Rostapshova, O, Rudan, I, Rustichini, A, Salomaa, V, Sanders, AR, Sarin, AP, Schmidt, Heléna, Scott, RJ, Smith, BH, Smith, JA, Staessen, JA, Steinhagen-Thiessen, E, Strauch, K, Terracciano, A, Tobin, MD, Ulivi, S, Vaccargiu, S, Quaye, L, van Rooij, FJA, Venturini, C, Vinkhuyzen, AAE, Volker, U, Volzke, H, Vonk, JM, Vozzi, D, Waage, J, Ware, EB, Willemsen, G, Attia, JR, Bennett, DA, Berger, K, Bertram, L, Bisgaard, H, Boomsma, DI, Borecki, IB, Bultmann, U, Chabris, CF, Cucca, F, Cusi, D, Deary, IJ, Dedoussis, GV, Duijn, Cornelia, Eriksson, JG, Franke, B, Franke, L, Gasparini, P, Gejman, PV, Gieger, C, Grabe, HJ, Gratten, J, Groenen, Patrick, Gudnason, V, van der Harst, P, Hayward, C, Hinds, DA, Hoffmann, W, Hyppnen, E, Iacono, WG, Jacobsson, B, Jarvelin, MR, Jockel, KH, Kaprio, J, Kardia, SLR, Lehtimaki, T, Lehrer, SF, Magnusson, PKE, Martin, NG, McGue, M, Metspalu, A, Pendleton, N, Penninx, BWJH, Perola, M, Pirastu, N, Pirastu, M, Polasek, O, Posthuma, Daniëlle, Power, C, Province, MA, Samani, NJ, Schlessinger, D, Schmidt, R, Sorensen, TIA, Spector, TD, Stefansson, K, Thorsteinsdottir, U, Thurik, Roy, Timpson, NJ, Tiemeier, Henning, Tung, JY, Uitterlinden, André, Vitart, V, Vollenweider, P, Weir, DR, Wilson, JF, Wright, AF, Conley, DC, Krueger, RF, Smith, GD, Hofman, Bert, Laibson, DI, Medland, SE, Meyer, MN, Yang, Jiaqi, Johannesson, M, Visscher, PM, Esko, T, Koellinger, PD, Cesarini, D, Benjamin, DJ, Okbay, Aysu, Beauchamp, JP, Fontana, MA, Lee, JJ, Pers, TH, Rietveld, Niels, Turley, P, Chen, GB, Emilsson, V, Meddens, SFW, Oskarsson, S, Pickrell, JK, Thom, K, Timshel, P, Vlaming, Ronald, Abdellaoui, A, Ahluwalia, TS, Bacelis, J, Baumbach, C, Bjornsdottir, G, Brandsma, Johan, Concas, MP, Derringer, J, Furlotte, NA, Galesloot, TE, Girotto, G, Gupta, R, Hall, LM, Harris, SE, Hofer, E, Horikoshi, M, Huffman, JE, Kaasik, K, Kalafati, IP, Karlsson, R, Kong, A, Lahti, J, van der Lee, Sven, de Leeuw, C, Lind, PA, Lindgren, KO, Liu, T, Mangino, M, Marten, J, Mihailov, E, Miller, MB, van der Most, PJ, Oldmeadow, C, Payton, A, Pervjakova, N, Peyrot, WJ, Qian, Y, Raitakari, O, Rueedi, R, Salvi, E, Schmidt, B, Schraut, KE, Shi, JX, Smith, AV, Poot, Raymond, St Pourcain, B, Teumer, A, Thorleifsson, G, Verweij, N (Niek), Vuckovic, D, Wellmann, J, Westra, HJ, Yang, JY, Zhao, W, Zhu, ZH, Alizadeh, BZ, Amin, Najaf, Bakshi, A, Baumeister, SE, Biino, G, Bonnelykke, K, Boyle, PA, Campbell, H, Cappuccio, FP, Davies, G, De Neve, JE, Deloukas, P, Demuth, I, Ding, J, Eibich, P, Eisele, L, Eklund, N, Evans, DM, Faul, JD, Feitosa, MF, Forstner, AJ, Gandin, I, Gunnarsson, B, Halldorsson, BV, Harris, TB, Heath, AC, Hocking, LJ, Holliday, EG, Homuth, G, Horan, MA, Hottenga, JJ, De Jager, PL, Joshi, PK, Jugessur, A, Kaakinen, MA, Kahonen, M, Kanoni, S, Keltigangas-Jarvinen, L, Kiemeney, LALM, Kolcic, I, Koskinen, S, Kraja, AT, Kroh, M, Kutalik, Z, Latvala, A, Launer, LJ, Lebreton, MP, Levinson, DF, Lichtenstein, P, Lichtner, P, Liewald, DCM, Loukola, A, Madden, PA, Magi, R, Maki-Opas, T, Marioni, RE, Marques-Vidal, P, Meddens, GA, McMahon, G, Meisinger, C, Meitinger, T, Milaneschi, Y, Milani, L, Montgomery, GW, Myhre, R, Nelson, CP, Nyholt, DR, Ollier, WER, Palotie, A, Paternoster, L, Pedersen, NL, Petrovic, KE, Porteous, DJ, Raikkonen, K, Ring, SM, Robino, A, Rostapshova, O, Rudan, I, Rustichini, A, Salomaa, V, Sanders, AR, Sarin, AP, Schmidt, Heléna, Scott, RJ, Smith, BH, Smith, JA, Staessen, JA, Steinhagen-Thiessen, E, Strauch, K, Terracciano, A, Tobin, MD, Ulivi, S, Vaccargiu, S, Quaye, L, van Rooij, FJA, Venturini, C, Vinkhuyzen, AAE, Volker, U, Volzke, H, Vonk, JM, Vozzi, D, Waage, J, Ware, EB, Willemsen, G, Attia, JR, Bennett, DA, Berger, K, Bertram, L, Bisgaard, H, Boomsma, DI, Borecki, IB, Bultmann, U, Chabris, CF, Cucca, F, Cusi, D, Deary, IJ, Dedoussis, GV, Duijn, Cornelia, Eriksson, JG, Franke, B, Franke, L, Gasparini, P, Gejman, PV, Gieger, C, Grabe, HJ, Gratten, J, Groenen, Patrick, Gudnason, V, van der Harst, P, Hayward, C, Hinds, DA, Hoffmann, W, Hyppnen, E, Iacono, WG, Jacobsson, B, Jarvelin, MR, Jockel, KH, Kaprio, J, Kardia, SLR, Lehtimaki, T, Lehrer, SF, Magnusson, PKE, Martin, NG, McGue, M, Metspalu, A, Pendleton, N, Penninx, BWJH, Perola, M, Pirastu, N, Pirastu, M, Polasek, O, Posthuma, Daniëlle, Power, C, Province, MA, Samani, NJ, Schlessinger, D, Schmidt, R, Sorensen, TIA, Spector, TD, Stefansson, K, Thorsteinsdottir, U, Thurik, Roy, Timpson, NJ, Tiemeier, Henning, Tung, JY, Uitterlinden, André, Vitart, V, Vollenweider, P, Weir, DR, Wilson, JF, Wright, AF, Conley, DC, Krueger, RF, Smith, GD, Hofman, Bert, Laibson, DI, Medland, SE, Meyer, MN, Yang, Jiaqi, Johannesson, M, Visscher, PM, Esko, T, Koellinger, PD, Cesarini, D, and Benjamin, DJ
- Abstract
Educational attainment is strongly influenced by social and other environmental factors, but genetic factors are estimated to account for at least 20% of the variation across individuals(1). Here we report the results of a genome-wide association study (GWAS) for educational attainment that extends our earlier discovery sample(1,2) of 101,069 individuals to 293,723 individuals, and a replication study in an independent sample of 111,349 individuals from the UK Biobank. We identify 74 genome-wide significant loci associated with the number of years of schooling completed. Single-nucleotide polymorphisms associated with educational attainment are disproportionately found in genomic regions regulating gene expression in the fetal brain. Candidate genes are preferentially expressed in neural tissue, especially during the prenatal period, and enriched for biological pathways involved in neural development. Our findings demonstrate that, even for a behavioural phenotype that is mostly environmentally determined, a well-powered GWAS identifies replicable associated genetic variants that suggest biologically relevant pathways. Because educational attainment is measured in large numbers of individuals, it will continue to be useful as a proxy phenotype in efforts to characterize the genetic influences of related phenotypes, including cognition and neuropsychiatric diseases.
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- 2016
86. Effects of Two-Year Vitamin B12 and Folic Acid Supplementation on Depressive Symptoms and Quality of Life in Older Adults with Elevated Homocysteine Concentrations: Additional Results from the B-PROOF Study, an RCT
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Koning, EJ, van der Zwaluw, NL, Wijngaarden, JP, Sohl, E, Brouwer-Brolsma, EM, van Marwijk, HWJ, Enneman, Anke, Swart, KMA, Boon - van Dijk, Suzanne, Ham, Annelies, van der Velde, Nathalie, Uitterlinden, André, Penninx, BWJH, Elders, PJM, Lips, P, Dhonukshe-Rutten, RAM, Schoor, NM, de Groot, LCPGM (Lisette), Koning, EJ, van der Zwaluw, NL, Wijngaarden, JP, Sohl, E, Brouwer-Brolsma, EM, van Marwijk, HWJ, Enneman, Anke, Swart, KMA, Boon - van Dijk, Suzanne, Ham, Annelies, van der Velde, Nathalie, Uitterlinden, André, Penninx, BWJH, Elders, PJM, Lips, P, Dhonukshe-Rutten, RAM, Schoor, NM, and de Groot, LCPGM (Lisette)
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- 2016
87. Meta-analysis of Genome-Wide Association Studies for Extraversion: Findings from the Genetics of Personality Consortium
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van den Berg, SM, de Moor, MHM, Verweij, KJH, Krueger, RF, Luciano, M, Vasquez, AA, Matteson, LK, Derringer, J, Esko, T, Amin, Najaf, Gordon, SD, Hansell, NK, Hart, AB, Seppala, I, Huffman, JE, Konte, B, Lahti, J, Lee, Max, Miller, M, Nutile, T, Tanaka, T, Teumer, A, Viktorin, A, Wedenoja, J, Abdellaoui, A, Abecasis, GR, Adkins, DE, Agrawal, A, Allik, J, Appel, K, Bigdeli, TB, Busonero, F, Campbell, H, Costa, PT, Smith, GD, Davies, G, de Wit, HJ, Ding, J, Engelhardt, BE, Eriksson, JG, Fedko, IO, Ferrucci, L, Franke, B, Giegling, I, Grucza, R, Hartmann, AM, Heath, AC, Heinonen, K, Henders, AK, Homuth, G, Hottenga, JJ (Jouke Jan), Iacono, WG, Janzing, J, Jokela, M, Karlsson, R, Kemp, JP, Kirkpatrick, MG, Latvala, A, Lehtimaki, T, Liewald, DC, Madden, PAF, Magri, C, Magnusson, PKE, Marten, J, del Maschio, A, Mbarek, H, Medland, SE, Mihailov, E, Milaneschi, Y, Montgomery, GW, Nauck, M, Nivard, MG, Ouwens, KG, Palotie, A, Pettersson, E, Polasek, O, Qian, Y, Pulkki-Raback, L, Raitakari, OT, Realo, A, Rose, RJ, Ruggiero, D, Schmidt, CO, Slutske, WS, Sorice, R, Starr, JM, St Pourcain, B, Sutin, AR, Timpson, NJ, Trochet, H, Vermeulen, Shanna, Vuoksimaa, E, Widen, E, Wouda, J, Wright, MJ, Zgaga, L, Porteous, D, Minelli, A, Palmer, AA, Rujescu, D, Ciullo, M, Hayward, C, Rudan, I, Metspalu, A, Kaprio, J, Deary, IJ, Raikkonen, K, Wilson, JF, Keltikangas-Jarvinen, L, Bierut, LJ, Hettema, JM, Grabe, HJ, Penninx, BWJH, Duijn, Cornelia, Evans, DM, Schlessinger, D, Pedersen, NL, Terracciano, A, McGue, M, Martin, NG, Boomsma, DI, Generation, Scotland, van den Berg, SM, de Moor, MHM, Verweij, KJH, Krueger, RF, Luciano, M, Vasquez, AA, Matteson, LK, Derringer, J, Esko, T, Amin, Najaf, Gordon, SD, Hansell, NK, Hart, AB, Seppala, I, Huffman, JE, Konte, B, Lahti, J, Lee, Max, Miller, M, Nutile, T, Tanaka, T, Teumer, A, Viktorin, A, Wedenoja, J, Abdellaoui, A, Abecasis, GR, Adkins, DE, Agrawal, A, Allik, J, Appel, K, Bigdeli, TB, Busonero, F, Campbell, H, Costa, PT, Smith, GD, Davies, G, de Wit, HJ, Ding, J, Engelhardt, BE, Eriksson, JG, Fedko, IO, Ferrucci, L, Franke, B, Giegling, I, Grucza, R, Hartmann, AM, Heath, AC, Heinonen, K, Henders, AK, Homuth, G, Hottenga, JJ (Jouke Jan), Iacono, WG, Janzing, J, Jokela, M, Karlsson, R, Kemp, JP, Kirkpatrick, MG, Latvala, A, Lehtimaki, T, Liewald, DC, Madden, PAF, Magri, C, Magnusson, PKE, Marten, J, del Maschio, A, Mbarek, H, Medland, SE, Mihailov, E, Milaneschi, Y, Montgomery, GW, Nauck, M, Nivard, MG, Ouwens, KG, Palotie, A, Pettersson, E, Polasek, O, Qian, Y, Pulkki-Raback, L, Raitakari, OT, Realo, A, Rose, RJ, Ruggiero, D, Schmidt, CO, Slutske, WS, Sorice, R, Starr, JM, St Pourcain, B, Sutin, AR, Timpson, NJ, Trochet, H, Vermeulen, Shanna, Vuoksimaa, E, Widen, E, Wouda, J, Wright, MJ, Zgaga, L, Porteous, D, Minelli, A, Palmer, AA, Rujescu, D, Ciullo, M, Hayward, C, Rudan, I, Metspalu, A, Kaprio, J, Deary, IJ, Raikkonen, K, Wilson, JF, Keltikangas-Jarvinen, L, Bierut, LJ, Hettema, JM, Grabe, HJ, Penninx, BWJH, Duijn, Cornelia, Evans, DM, Schlessinger, D, Pedersen, NL, Terracciano, A, McGue, M, Martin, NG, Boomsma, DI, and Generation, Scotland
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- 2016
88. Meta-analysis of 49 549 individuals imputed with the 1000 Genomes Project reveals an exonic damaging variant in ANGPTL4 determining fasting TG levels
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Leeuwen, Elisa, Sabo, A, Bis, JC, Huffman, JE, Manichaikul, A, Smith, AV, Feitosa, MF, Demissie, S, Joshi, PK, Duan, Q, Marten, J, van Klinken, JB, Surakka, I, Nolte, IM, Zhang, WH, Mbarek, H, Li-Gao, RF, Trompet, S, Verweij, N, Evangelou, E, Lyytikainen, LP, Tayo, BO, Deelen, J, van der Most, PJ, van der Laan, SW, Arking, DE, Morrison, A, Dehghan, Abbas, Franco Duran, OH, Hofman, Bert, Rivadeneira, Fernando, Sijbrands, E.J.G., Uitterlinden, André, Mychaleckyj, JC, Campbell, A (Archie), Hocking, LJ, Padmanabhan, S, Brody, JA, Rice, KM, White, CC, Harris, T, Isaacs, Aaron, Campbell, H, Lange, LA, Rudan, I, Kolcic, I, Navarro, P, Zemunik, T, Salomaa, V, Kooner, AS, Kooner, JS, Lehne, B, Scott, WR, Tan, ST, de Geus, EJ, Milaneschi, Y, Penninx, BWJH, Willemsen, G, de Mutsert, R, Ford, I, Gansevoort, RT, Segura-Lepe, M P, Raitakari, OT, Viikari, JS, Nikus, K, Forrester, T, McKenzie, CA, de Craen, AJM, den Ruijter, HM, Pasterkamp, G, Snieder, H, Oldehinkel, AJ, Slagboom, PE (Eline), Cooper, RS, Kahonen, M, Lehtimaki, T, Elliott, P, van der Harst, P, Jukema, JW, Mook-Kanamori, DO, Boomsma, DI, Chambers, JC, Swertz, M, Ripatti, S, van Dijk, KW, Vitart, V, Polasek, O, Hayward, C, Wilson, JG, Wilson, JF, Gudnason, V, Rich, SS, Psaty, BM, Borecki, IB, Boerwinkle, E, Rotter, JI, Cupples, LA, Duijn, Cornelia, Leeuwen, Elisa, Sabo, A, Bis, JC, Huffman, JE, Manichaikul, A, Smith, AV, Feitosa, MF, Demissie, S, Joshi, PK, Duan, Q, Marten, J, van Klinken, JB, Surakka, I, Nolte, IM, Zhang, WH, Mbarek, H, Li-Gao, RF, Trompet, S, Verweij, N, Evangelou, E, Lyytikainen, LP, Tayo, BO, Deelen, J, van der Most, PJ, van der Laan, SW, Arking, DE, Morrison, A, Dehghan, Abbas, Franco Duran, OH, Hofman, Bert, Rivadeneira, Fernando, Sijbrands, E.J.G., Uitterlinden, André, Mychaleckyj, JC, Campbell, A (Archie), Hocking, LJ, Padmanabhan, S, Brody, JA, Rice, KM, White, CC, Harris, T, Isaacs, Aaron, Campbell, H, Lange, LA, Rudan, I, Kolcic, I, Navarro, P, Zemunik, T, Salomaa, V, Kooner, AS, Kooner, JS, Lehne, B, Scott, WR, Tan, ST, de Geus, EJ, Milaneschi, Y, Penninx, BWJH, Willemsen, G, de Mutsert, R, Ford, I, Gansevoort, RT, Segura-Lepe, M P, Raitakari, OT, Viikari, JS, Nikus, K, Forrester, T, McKenzie, CA, de Craen, AJM, den Ruijter, HM, Pasterkamp, G, Snieder, H, Oldehinkel, AJ, Slagboom, PE (Eline), Cooper, RS, Kahonen, M, Lehtimaki, T, Elliott, P, van der Harst, P, Jukema, JW, Mook-Kanamori, DO, Boomsma, DI, Chambers, JC, Swertz, M, Ripatti, S, van Dijk, KW, Vitart, V, Polasek, O, Hayward, C, Wilson, JG, Wilson, JF, Gudnason, V, Rich, SS, Psaty, BM, Borecki, IB, Boerwinkle, E, Rotter, JI, Cupples, LA, and Duijn, Cornelia
- Published
- 2016
89. Where you live may make you old: The association between perceived poor neighborhood quality and leukocyte telomere length
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Park, M, Verhoeven, JE, Cuijpers, P, Reynolds, CF, Penninx, BWJH, Park, M, Verhoeven, JE, Cuijpers, P, Reynolds, CF, and Penninx, BWJH
- Abstract
Background: Strong evidence supports that living in disadvantaged neighborhoods has direct unfavorable impact on mental and physical health. However, whether it also has direct impact on cellular health is largely unknown. Thus we examined whether neighborhood quality was associated with leukocyte telomere length, an indicator of cellular aging. Methods: In May 2014, we extracted and analyzed baseline data from the Netherlands Study of Depression and Anxiety (NESDA), a large epidemiological study of individuals age between 18-65 years (n=2902). Telomere length was determined using quantitative polymerase chain reaction. Neighborhood quality was assessed using modified measures of perceived neighborhood disorder, fear of crime, and noise. We used multivariable linear regression models to examine association between perceived neighborhood quality and telomere length with comprehensive adjustment for individual and community characteristics related to socioeconomic and demographic status, urbanization level, mental and physical health, and lifestyle. Results: Compared to individuals who reported good neighborhood quality, the mean telomere length of those who reported moderate neighborhood quality was approximately 69 base pair shorter (β =-69.33, 95% CI: -119.49, -19.17, p= 0.007), and that of those who reported poor neighborhood quality were 174 base pair shorter (β =-173.80, 95% CI: -298.80, -49.01, p=0.006). For illustrative purposes, one could extrapolate these outcomes to 8.7 and 11.9 years in chronological age, respectively. Conclusion: We have established an association between perceived neighborhood quality and cellular aging over and above a range of individual attributes. Biological aging processes may be impacted by socioeconomic milieu.
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- 2015
90. Predicting the Naturalistic Course of Major Depressive Disorder Using Clinical and Multimodal Neuroimaging Information: A Multivariate Pattern Recognition Study
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Schmaal, L, Marquand, AF, Rhebergen, D, van Tol, M-J, Ruhe, HG, van der Wee, NJA, Veltman, DJ, Penninx, BWJH, Schmaal, L, Marquand, AF, Rhebergen, D, van Tol, M-J, Ruhe, HG, van der Wee, NJA, Veltman, DJ, and Penninx, BWJH
- Abstract
BACKGROUND: A chronic course of major depressive disorder (MDD) is associated with profound alterations in brain volumes and emotional and cognitive processing. However, no neurobiological markers have been identified that prospectively predict MDD course trajectories. This study evaluated the prognostic value of different neuroimaging modalities, clinical characteristics, and their combination to classify MDD course trajectories. METHODS: One hundred eighteen MDD patients underwent structural and functional magnetic resonance imaging (MRI) (emotional facial expressions and executive functioning) and were clinically followed-up at 2 years. Three MDD trajectories (chronic n = 23, gradual improving n = 36, and fast remission n = 59) were identified based on Life Chart Interview measuring the presence of symptoms each month. Gaussian process classifiers were employed to evaluate prognostic value of neuroimaging data and clinical characteristics (including baseline severity, duration, and comorbidity). RESULTS: Chronic patients could be discriminated from patients with more favorable trajectories from neural responses to various emotional faces (up to 73% accuracy) but not from structural MRI and functional MRI related to executive functioning. Chronic patients could also be discriminated from remitted patients based on clinical characteristics (accuracy 69%) but not when age differences between the groups were taken into account. Combining different task contrasts or data sources increased prediction accuracies in some but not all cases. CONCLUSIONS: Our findings provide evidence that the prediction of naturalistic course of depression over 2 years is improved by considering neuroimaging data especially derived from neural responses to emotional facial expressions. Neural responses to emotional salient faces more accurately predicted outcome than clinical data.
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- 2015
91. Discovery and Fine-Mapping of Glycaemic and Obesity-Related Trait Loci Using High-Density Imputation
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Horikoshi, M, Magi, R, van de Bunt, M, Surakka, I, Sarin, AP, Mahajan, A, Marullo, L, Thorleifsson, G, Hagg, S, Hottenga, JJ (Jouke Jan), Ladenvall, C, Ried, JS, Winkler, TW, Willems, SM, Pervjakova, N, Esko, T, Beekman, M, Nelson, CP, Willenborg, C, Wiltshire, S, Ferreira, T, Fernandez, J, Gaulton, KJ, Steinthorsdottir, V, Hamsten, A, Magnusson, PKE, Willemsen, G, Milaneschi, Y, Robertson, NR, Groves, CJ, Bennett, AJ, Lehtimaki, T, Viikari, JS, Rung, J, Lyssenko, V, Perola, M, Heid, IM, Herder, Cindy, Grallert, H, Muller-Nurasyid, M, Roden, M, Hypponen, E, Isaacs, Aaron, Leeuwen, Elisa, Karssen, Lennart, Mihailov, E, Houwing-Duistermaat, JJ, de Craen, AJM, Deelen, J, Havulinna, AS, Blades, M, Hengstenberg, C, Erdmann, J, Schunkert, H, Kaprio, J, Tobin, MD, Samani, NJ, Lind, L, Salomaa, V, Lindgren, CM, Slagboom, PE (Eline), Metspalu, A, Duijn, Cornelia, Eriksson, JG, Peters, A, Gieger, C, Jula, A, Groop, L, Raitakari, OT, Power, C, Penninx, BWJH, de Geus, ED, Smit, JH, Boomsma, DI, Pedersen, NL, Ingelsson, E, Thorsteinsdottir, U, Stefansson, K, Ripatti, S, Prokopenko, I, McCarthy, MI, Morris, AP, Horikoshi, M, Magi, R, van de Bunt, M, Surakka, I, Sarin, AP, Mahajan, A, Marullo, L, Thorleifsson, G, Hagg, S, Hottenga, JJ (Jouke Jan), Ladenvall, C, Ried, JS, Winkler, TW, Willems, SM, Pervjakova, N, Esko, T, Beekman, M, Nelson, CP, Willenborg, C, Wiltshire, S, Ferreira, T, Fernandez, J, Gaulton, KJ, Steinthorsdottir, V, Hamsten, A, Magnusson, PKE, Willemsen, G, Milaneschi, Y, Robertson, NR, Groves, CJ, Bennett, AJ, Lehtimaki, T, Viikari, JS, Rung, J, Lyssenko, V, Perola, M, Heid, IM, Herder, Cindy, Grallert, H, Muller-Nurasyid, M, Roden, M, Hypponen, E, Isaacs, Aaron, Leeuwen, Elisa, Karssen, Lennart, Mihailov, E, Houwing-Duistermaat, JJ, de Craen, AJM, Deelen, J, Havulinna, AS, Blades, M, Hengstenberg, C, Erdmann, J, Schunkert, H, Kaprio, J, Tobin, MD, Samani, NJ, Lind, L, Salomaa, V, Lindgren, CM, Slagboom, PE (Eline), Metspalu, A, Duijn, Cornelia, Eriksson, JG, Peters, A, Gieger, C, Jula, A, Groop, L, Raitakari, OT, Power, C, Penninx, BWJH, de Geus, ED, Smit, JH, Boomsma, DI, Pedersen, NL, Ingelsson, E, Thorsteinsdottir, U, Stefansson, K, Ripatti, S, Prokopenko, I, McCarthy, MI, and Morris, AP
- Abstract
Reference panels from the 1000 Genomes (1000G) Project Consortium provide near complete coverage of common and low-frequency genetic variation with minor allele frequency >= 0.5% across European ancestry populations. Within the European Network for Genetic and Genomic Epidemiology (ENGAGE) Consortium, we have undertaken the first large-scale meta-analysis of genome-wide association studies (GWAS), supplemented by 1000G imputation, for four quantitative glycaemic and obesity-related traits, in up to 87,048 individuals of European ancestry. We identified two loci for body mass index (BMI) at genome-wide significance, and two for fasting glucose (FG), none of which has been previously reported in larger meta-analysis efforts to combine GWAS of European ancestry. Through conditional analysis, we also detected multiple distinct signals of association mapping to established loci for waist-hip ratio adjusted for BMI (RSPO3) and FG (GCK and G6PC2). The index variant for one association signal at the G6PC2 locus is a low-frequency coding allele, H177Y, which has recently been demonstrated to have a functional role in glucose regulation. Fine-mapping analyses revealed that the non-coding variants most likely to drive association signals at established and novel loci were enriched for overlap with enhancer elements, which for FG mapped to promoter and transcription factor binding sites in pancreatic islets, in particular. Our study demonstrates that 1000G imputation and genetic fine-mapping of common and low-frequency variant association signals at GWAS loci, integrated with genomic annotation in relevant tissues, can provide insight into the functional and regulatory mechanisms through which their effects on glycaemic and obesity-related traits are mediated.
- Published
- 2015
92. Genome of the Netherlands population-specific imputations identify an ABCA6 variant associated with cholesterol levels
- Author
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Leeuwen, Elisa, Karssen, Lennart, Deelen, J, Isaacs, Aaron, Medina-Gomez, C, Mbarek, H, Kanterakis, A, Trompet, S, Postmus, I, Verweij, N (Niek), van Enckevort, DJ, Huffman, JE, White, CC, Feitosa, MF, Bartz, TM, Manichaikul, A, Joshi, PK, Peloso, GM, Deelen, P, Dijk, Femke, Willemsen, G, de Geus, EJ, Milaneschi, Y, Penninx, BWJH, Francioli, LC, Menelaou, A, Pulit, SL, Rivadeneira, Fernando, Hofman, Bert, Oostra, Ben, Franco Duran, OH, Leach, IM, Beekman, M, de Craen, AJM, Uh, HW, Trochet, H, Hocking, LJ, Porteous, DJ, Sattar, N, Packard, CJ, Buckley, BM, Brody, JA, Bis, JC, Rotter, JI, Mychaleckyj, JC, Campbell, H, Duan, Q, Lange, LA, Wilson, JF, Hayward, C, Polasek, O, Vitart, V, Rudan, I, Wright, AF, Rich, SS, Psaty, BM, Borecki, IB, Kearney, PM, Stott, DJ, Cupples, LA, Jukema, JW, van der Harst, P, Sijbrands, E.J.G., Hottenga, JJ (Jouke Jan), Uitterlinden, André, Swertz, MA, van Ommen, GJB, de Bakker, PIW, Slagboom, PE (Eline), Boomsma, DI, Wijmenga, C, Duijn, Cornelia, Leeuwen, Elisa, Karssen, Lennart, Deelen, J, Isaacs, Aaron, Medina-Gomez, C, Mbarek, H, Kanterakis, A, Trompet, S, Postmus, I, Verweij, N (Niek), van Enckevort, DJ, Huffman, JE, White, CC, Feitosa, MF, Bartz, TM, Manichaikul, A, Joshi, PK, Peloso, GM, Deelen, P, Dijk, Femke, Willemsen, G, de Geus, EJ, Milaneschi, Y, Penninx, BWJH, Francioli, LC, Menelaou, A, Pulit, SL, Rivadeneira, Fernando, Hofman, Bert, Oostra, Ben, Franco Duran, OH, Leach, IM, Beekman, M, de Craen, AJM, Uh, HW, Trochet, H, Hocking, LJ, Porteous, DJ, Sattar, N, Packard, CJ, Buckley, BM, Brody, JA, Bis, JC, Rotter, JI, Mychaleckyj, JC, Campbell, H, Duan, Q, Lange, LA, Wilson, JF, Hayward, C, Polasek, O, Vitart, V, Rudan, I, Wright, AF, Rich, SS, Psaty, BM, Borecki, IB, Kearney, PM, Stott, DJ, Cupples, LA, Jukema, JW, van der Harst, P, Sijbrands, E.J.G., Hottenga, JJ (Jouke Jan), Uitterlinden, André, Swertz, MA, van Ommen, GJB, de Bakker, PIW, Slagboom, PE (Eline), Boomsma, DI, Wijmenga, C, and Duijn, Cornelia
- Abstract
Variants associated with blood lipid levels may be population-specific. To identify low-frequency variants associated with this phenotype, population-specific reference panels may be used. Here we impute nine large Dutch biobanks (similar to 35,000 samples) with the population-specific reference panel created by the Genome of the Netherlands Project and perform association testing with blood lipid levels. We report the discovery of five novel associations at four loci (P value < 6.61 x 10(-4)), including a rare missense variant in ABCA6 (rs77542162, p.Cys1359Arg, frequency 0.034), which is predicted to be deleterious. The frequency of this ABCA6 variant is 3.65-fold increased in the Dutch and its effect (beta(LDL-C) = 0.135, beta(TC) = 0.140) is estimated to be very similar to those observed for single variants in well-known lipid genes, such as LDLR.
- Published
- 2015
93. Erratum: New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk (Nature Genetics (2010) 42 (105-116))
- Author
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Dupuis, J, Langenberg, C, Prokopenko, I, Saxena, R, Soranzo, N, Jackson, AU, Wheeler, E, Glazer, NL, Bouatia-Naji, N, Gloyn, AL, Lindgren, CM, Mägi, R, Morris, AP, Randall, J, Johnson, T, Elliott, P, Rybin, D, Thorleifsson, G, Steinthorsdottir, V, Henneman, P, Grallert, H, Dehghan, A, Hottenga, JJ, Franklin, CS, Navarro, P, Song, K, Goel, A, Perry, JRB, Egan, JM, Lajunen, T, Grarup, N, Sparsø, T, Doney, A, Voight, BF, Stringham, HM, Li, M, Kanoni, S, Shrader, P, Cavalcanti-Proença, C, Kumari, M, Qi, L, Timpson, NJ, Gieger, C, Zabena, C, Rocheleau, G, Ingelsson, E, An, P, O'Connell, J, Luan, J, Elliott, A, McCarroll, SA, Payne, F, Roccasecca, RM, Pattou, F, Sethupathy, P, Ardlie, K, Ariyurek, Y, Balkau, B, Barter, P, Beilby, JP, Ben-Shlomo, Y, Benediktsson, R, Bennett, AJ, Bergmann, S, Bochud, M, Boerwinkle, E, Bonnefond, A, Bonnycastle, LL, Borch-Johnsen, K, Böttcher, Y, Brunner, E, Bumpstead, SJ, Charpentier, G, Chen, Y-DI, Chines, P, Clarke, R, Coin, LJM, Cooper, MN, Cornelis, M, Crawford, G, Crisponi, L, Day, INM, De Geus, EJC, Delplanque, J, Dina, C, Erdos, MR, Fedson, AC, Fischer-Rosinsky, A, Forouhi, NG, Fox, CS, Frants, R, Franzosi, MG, Galan, P, Goodarzi, MO, Graessler, J, Groves, CJ, Grundy, S, Gwilliam, R, Gyllensten, U, Hadjadj, S, Hallmans, G, Hammond, N, Han, X, Hartikainen, A-L, Hassanali, N, Hayward, C, Heath, SC, Hercberg, S, Herder, C, Hicks, AA, Hillman, DR, Hingorani, AD, Hofman, A, Hui, J, Hung, J, Isomaa, B, Johnson, PRV, Jørgensen, T, Jula, A, Kaakinen, M, Kaprio, J, Kesaniemi, YA, Kivimaki, M, Knight, B, Koskinen, S, Kovacs, P, Kyvik, KO, Lathrop, GM, Lawlor, DA, Le Bacquer, O, Lecoeur, C, Li, Y, Lyssenko, V, Mahley, R, Mangino, M, Manning, AK, Martínez-Larrad, MT, McAteer, JB, McCulloch, LJ, McPherson, R, Meisinger, C, Melzer, D, Meyre, D, Mitchell, BD, Morken, MA, Mukherjee, S, Naitza, S, Narisu, N, Neville, MJ, Oostra, BA, Orr, M, Pakyz, R, Palmer, CNA, Paolisso, G, Pattaro, C, Pearson, D, Peden, JF, Pedersen, NL, Perola, M, Pfeiffer, AFH, Pichler, I, Polasek, O, Posthuma, D, Potter, SC, Pouta, A, Province, MA, Psaty, BM, Rathmann, W, Rayner, NW, Rice, K, Ripatti, S, Rivadeneira, F, Roden, M, Rolandsson, O, Sandbaek, A, Sandhu, M, Sanna, S, Sayer, AA, Scheet, P, Scott, LJ, Seedorf, U, Sharp, SJ, Shields, B, Sigursson, G, Sijbrands, EJG, Silveira, A, Simpson, L, Singleton, A, Smith, NL, Sovio, U, Swift, A, Syddall, H, Syvänen, A-C, Tanaka, T, Thorand, B, Tichet, J, Tönjes, A, Tuomi, T, Uitterlinden, AG, Van Dijk, KW, Van Hoek, M, Varma, D, Visvikis-Siest, S, Vitart, V, Vogelzangs, N, Waeber, G, Wagner, PJ, Walley, A, Walters, GB, Ward, KL, Watkins, H, Weedon, MN, Wild, SH, Willemsen, G, Witteman, JCM, Yarnell, JWG, Zeggini, E, Zelenika, D, Zethelius, B, Zhai, G, Zhao, JH, Zillikens, MC, Consortium, D, Consortium, G, Consortium, GB, Borecki, IB, Loos, RJF, Meneton, P, Magnusson, PKE, Nathan, DM, Williams, GH, Hattersley, AT, Silander, K, Salomaa, V, Smith, GD, Bornstein, SR, Schwarz, P, Spranger, J, Karpe, F, Shuldiner, AR, Cooper, C, Dedoussis, GV, Serrano-Ríos, M, Morris, AD, Lind, L, Palmer, LJ, Hu, FB, Franks, PW, Ebrahim, S, Marmot, M, Kao, WHL, Pankow, JS, Sampson, MJ, Kuusisto, J, Laakso, M, Hansen, T, Pedersen, O, Pramstaller, PP, Wichmann, HE, Illig, T, Rudan, I, Wright, AF, Stumvoll, M, Campbell, H, Wilson, JF, Hamsten, A, Bergman, RN, Buchanan, TA, Collins, FS, Mohlke, KL, Tuomilehto, J, Valle, TT, Altshuler, D, Rotter, JI, Siscovick, DS, Penninx, BWJH, Boomsma, DI, Deloukas, P, Spector, TD, Frayling, TM, Ferrucci, L, Kong, A, Thorsteinsdottir, U, Stefansson, K, Van Duijn, CM, Aulchenko, YS, Cao, A, Scuteri, A, Schlessinger, D, Uda, M, Ruokonen, A, Jarvelin, M-R, Waterworth, DM, Vollenweider, P, Peltonen, L, Mooser, V, Abecasis, GR, Wareham, NJ, Sladek, R, Froguel, P, Watanabe, RM, Meigs, JB, Groop, L, Boehnke, M, McCarthy, MI, Florez, JC, and Barroso, I
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- 2010
94. New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk (vol 42, pg 105, 2010)
- Author
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Dupuis, J, Langenberg, C, Prokopenko, I, Saxena, R, Soranzo, N, Jackson, AU, Wheeler, E, Glazer, NL, Bouatia-Naji, N, Gloyn, AL, Lindgren, CM, Maegi, R, Morris, AP, Randall, J, Johnson, T, Elliott, P, Rybin, D, Thorleifsson, G, Steinthorsdottir, V, Henneman, P, Grallert, H, Dehghan, A, Hottenga, JJ, Franklin, CS, Navarro, P, Song, K, Goel, A, Perry, JRB, Egan, JM, Lajunen, T, Grarup, N, Sparso, T, Doney, A, Voight, BF, Stringham, HM, Li, M, Kanoni, S, Shrader, P, Cavalcanti-Proenca, C, Kumari, M, Qi, L, Timpson, NJ, Gieger, C, Zabena, C, Rocheleau, G, Ingelsson, E, An, P, O'Connell, J, Luan, J, Elliott, A, McCarroll, SA, Payne, F, Roccasecca, RM, Pattou, F, Sethupathy, P, Ardlie, K, Ariyurek, Y, Balkau, B, Barter, P, Beilby, JP, Ben-Shlomo, Y, Benediktsson, R, Bennett, AJ, Bergmann, S, Bochud, M, Boerwinkle, E, Bonnefond, A, Bonnycastle, LL, Borch-Johnsen, K, Boettcher, Y, Brunner, E, Bumpstead, SJ, Charpentier, G, Chen, Y-DI, Chines, P, Clarke, R, Coin, LJM, Cooper, MN, Cornelis, M, Crawford, G, Crisponi, L, Day, INM, de Geus, EJC, Delplanque, J, Dina, C, Erdos, MR, Fedson, AC, Fischer-Rosinsky, A, Forouhi, NG, Fox, CS, Frants, R, Franzosi, MG, Galan, P, Goodarzi, MO, Graessler, J, Groves, CJ, Grundy, S, Gwilliam, R, Gyllensten, U, Hadjadj, S, Hallmans, G, Hammond, N, Han, X, Hartikainen, A-L, Hassanali, N, Hayward, C, Heath, SC, Hercberg, S, Herder, C, Hicks, AA, Hillman, DR, Hingorani, AD, Hofman, A, Hui, J, Hung, J, Isomaa, B, Johnson, PRV, Jorgensen, T, Jula, A, Kaakinen, M, Kaprio, J, Kesaniemi, YA, Kivimaki, M, Knight, B, Koskinen, S, Kovacs, P, Kyvik, KO, Lathrop, GM, Lawlor, DA, Le Bacquer, O, Lecoeur, C, Li, Y, Lyssenko, V, Mahley, R, Mangino, M, Manning, AK, Martinez-Larrad, MT, McAteer, JB, McCulloch, LJ, McPherson, R, Meisinger, C, Melzer, D, Meyre, D, Mitchell, BD, Morken, MA, Mukherjee, S, Naitza, S, Narisu, N, Neville, MJ, Oostra, BA, Orru, M, Pakyz, R, Palmer, CNA, Paolisso, G, Pattaro, C, Pearson, D, Peden, JF, Pedersen, NL, Perola, M, Pfeiffer, AFH, Pichler, I, Polasek, O, Posthuma, D, Potter, SC, Pouta, A, Province, MA, Psaty, BM, Rathmann, W, Rayner, NW, Rice, K, Ripatti, S, Rivadeneira, F, Roden, M, Rolandsson, O, Sandbaek, A, Sandhu, M, Sanna, S, Sayer, AA, Scheet, P, Scott, LJ, Seedorf, U, Sharp, SJ, Shields, B, Sigurosson, G, Sijbrands, EJG, Silveira, A, Simpson, L, Singleton, A, Smith, NL, Sovio, U, Swift, A, Syddall, H, Syvaenen, A-C, Tanaka, T, Thorand, B, Tichet, J, Toenjes, A, Tuomi, T, Uitterlinden, AG, van Dijk, KW, van Hoek, M, Varma, D, Visvikis-Siest, S, Vitart, V, Vogelzangs, N, Waeber, G, Wagner, PJ, Walley, A, Walters, GB, Ward, KL, Watkins, H, Weedon, MN, Wild, SH, Willemsen, G, Witteman, JCM, Yarnell, JWG, Zeggini, E, Zelenika, D, Zethelius, B, Zhai, G, Zhao, JH, Zillikens, MC, Borecki, IB, Loos, RJF, Meneton, P, Magnusson, PKE, Nathan, DM, Williams, GH, Hattersley, AT, Silander, K, Salomaa, V, Smith, GD, Bornstein, SR, Schwarz, P, Spranger, J, Karpe, F, Shuldiner, AR, Cooper, C, Dedoussis, GV, Serrano-Rios, M, Morris, AD, Lind, L, Palmer, LJ, Hu, FB, Franks, PW, Ebrahim, S, Marmot, M, Kao, WHL, Pankow, JS, Sampson, MJ, Kuusisto, J, Laakso, M, Hansen, T, Pedersen, O, Pramstaller, PP, Wichmann, HE, Illig, T, Rudan, I, Wright, AF, Stumvoll, M, Campbell, H, Wilson, JF, Hamsten, A, Bergman, RN, Buchanan, TA, Collins, FS, Mohlke, KL, Tuomilehto, J, Valle, TT, Altshuler, D, Rotter, JI, Siscovick, DS, Penninx, BWJH, Boomsma, DI, Deloukas, P, Spector, TD, Frayling, TM, Ferrucci, L, Kong, A, Thorsteinsdottir, U, Stefansson, K, van Duijn, CM, Aulchenko, YS, Cao, A, Scuteri, A, Schlessinger, D, Uda, M, Ruokonen, A, Jarvelin, M-R, Waterworth, DM, Vollenweider, P, Peltonen, L, Mooser, V, Abecasis, GR, Wareham, NJ, Sladek, R, Froguel, P, Watanabe, RM, Meigs, JB, Groop, L, Boehnke, M, McCarthy, MI, Florez, JC, Consortium, DIAGRAM, Consortium, GIANT, Consortium, GB, Consortium, P, and Investigators, IBMAGIC
- Published
- 2010
95. Meta- analysis on blood transcriptomic studies identifies consistently coexpressed protein- protein interaction modules as robust markers of human aging
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van den Akker, EB, Passtoors, WM, Jansen, R, van Zwet, EW, Goeman, JJ, Hulsman, M, Emilsson, V, Perola, M, Willemsen, G, Penninx, BWJH, Heijmans, BT, Maier, AB, Boomsma, DI, Kok, JN, Slagboom, PE, Reinders, MJT, Beekman, M, van den Akker, EB, Passtoors, WM, Jansen, R, van Zwet, EW, Goeman, JJ, Hulsman, M, Emilsson, V, Perola, M, Willemsen, G, Penninx, BWJH, Heijmans, BT, Maier, AB, Boomsma, DI, Kok, JN, Slagboom, PE, Reinders, MJT, and Beekman, M
- Abstract
The bodily decline that occurs with advancing age strongly impacts on the prospects for future health and life expectancy. Despite the profound role of age in disease etiology, knowledge about the molecular mechanisms driving the process of aging in humans is limited. Here, we used an integrative network-based approach for combining multiple large-scale expression studies in blood (2539 individuals) with protein-protein Interaction (PPI) data for the detection of consistently coexpressed PPI modules that may reflect key processes that change throughout the course of normative aging. Module detection followed by a meta-analysis on chronological age identified fifteen consistently coexpressed PPI modules associated with chronological age, including a highly significant module (P = 3.5 × 10(-38)) enriched for 'T-cell activation' marking age-associated shifts in lymphocyte blood cell counts (R(2) = 0.603; P = 1.9 × 10(-10)). Adjusting the analysis in the compendium for the 'T-cell activation' module showed five consistently coexpressed PPI modules that robustly associated with chronological age and included modules enriched for 'Translational elongation', 'Cytolysis' and 'DNA metabolic process'. In an independent study of 3535 individuals, four of five modules consistently associated with chronological age, underpinning the robustness of the approach. We found three of five modules to be significantly enriched with aging-related genes, as defined by the GenAge database, and association with prospective survival at high ages for one of the modules including ASF1A. The hereby-detected age-associated and consistently coexpressed PPI modules therefore may provide a molecular basis for future research into mechanisms underlying human aging.
- Published
- 2014
96. Harmonization of Neuroticism and Extraversion phenotypes across inventories and cohorts in the Genetics of Personality Consortium: an application of Item Response Theory
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van den Berg, SM, de Moor, MHM, McGue, M, Pettersson, E, Terracciano, A, Verweij, KJH, Amin, Najaf, Derringer, J, Esko, T, Van Grootheest, G, Hansell, NK, Huffman, J, Konte, B, Lahti, J, Luciano, M, Matteson, LK, Viktorin, A, Wouda, J, Agrawal, A, Allik, J, Bierut, L, Broms, U, Campbell, H, Smith, GD, Eriksson, JG, Ferrucci, L, Franke, B, Fox, JP, de Geus, EJC, Giegling, I, Gow, AJ, Grucza, R, Hartmann, AM, Heath, AC, Heikkila, K, Iacono, W, Janzing, J, Jokela, M, Kiemeney, L, Lehtimaki, T, Madden, PAF, Magnusson, PKE, Northstone, K, Nutile, T, Ouwens, KG, Palotie, A, Pattie, A, Pesonen, AK, Polasek, O, Pulkkinen, L, Pulkki-Raback, L, Raitakari, OT, Realo, A, Rose, RJ, Ruggiero, D, Seppala, I, Slutske, WS, Smyth, DC, Sorice, R, Starr, JM, Sutin, AR, Tanaka, T, Verhagen, J, Vermeulen, Shanna, Vuoksimaa, E, Widen, E, Willemsen, G, Wright, M, Zgaga, L, Rujescu, D, Metspalu, A, Wilson, JF, Ciullo, M, Hayward, C, Rudan, I, Deary, IJ, Raikkonen, K, Vasquez, AA, Costa, PT, Keltikangas-Jarvinen, L, Duijn, Cornelia, Penninx, BWJH, Krueger, RF, Evans, DM, Kaprio, J, Pedersen, NL, Martin, NG, Boomsma, DI, van den Berg, SM, de Moor, MHM, McGue, M, Pettersson, E, Terracciano, A, Verweij, KJH, Amin, Najaf, Derringer, J, Esko, T, Van Grootheest, G, Hansell, NK, Huffman, J, Konte, B, Lahti, J, Luciano, M, Matteson, LK, Viktorin, A, Wouda, J, Agrawal, A, Allik, J, Bierut, L, Broms, U, Campbell, H, Smith, GD, Eriksson, JG, Ferrucci, L, Franke, B, Fox, JP, de Geus, EJC, Giegling, I, Gow, AJ, Grucza, R, Hartmann, AM, Heath, AC, Heikkila, K, Iacono, W, Janzing, J, Jokela, M, Kiemeney, L, Lehtimaki, T, Madden, PAF, Magnusson, PKE, Northstone, K, Nutile, T, Ouwens, KG, Palotie, A, Pattie, A, Pesonen, AK, Polasek, O, Pulkkinen, L, Pulkki-Raback, L, Raitakari, OT, Realo, A, Rose, RJ, Ruggiero, D, Seppala, I, Slutske, WS, Smyth, DC, Sorice, R, Starr, JM, Sutin, AR, Tanaka, T, Verhagen, J, Vermeulen, Shanna, Vuoksimaa, E, Widen, E, Willemsen, G, Wright, M, Zgaga, L, Rujescu, D, Metspalu, A, Wilson, JF, Ciullo, M, Hayward, C, Rudan, I, Deary, IJ, Raikkonen, K, Vasquez, AA, Costa, PT, Keltikangas-Jarvinen, L, Duijn, Cornelia, Penninx, BWJH, Krueger, RF, Evans, DM, Kaprio, J, Pedersen, NL, Martin, NG, and Boomsma, DI
- Abstract
Mega- or meta-analytic studies (e.g. genome-wide association studies) are increasingly used in behavior genetics. An issue in such studies is that phenotypes are often measured by different instruments across study cohorts, requiring harmonization of measures so that more powerful fixed effect meta-analyses can be employed. Within the Genetics of Personality Consortium, we demonstrate for two clinically relevant personality traits, Neuroticism and Extraversion, how Item-Response Theory (IRT) can be applied to map item data from different inventories to the same underlying constructs. Personality item data were analyzed in > 160,000 individuals from 23 cohorts across Europe, USA and Australia in which Neuroticism and Extraversion were assessed by nine different personality inventories. Results showed that harmonization was very successful for most personality inventories and moderately successful for some. Neuroticism and Extraversion inventories were largely measurement invariant across cohorts, in particular when comparing cohorts from countries where the same language is spoken. The IRT-based scores for Neuroticism and Extraversion were heritable (48 and 49 %, respectively, based on a meta-analysis of six twin cohorts, total N = 29,496 and 29,501 twin pairs, respectively) with a significant part of the heritability due to non-additive genetic factors. For Extraversion, these genetic factors qualitatively differ across sexes. We showed that our IRT method can lead to a large increase in sample size and therefore statistical power. The IRT approach may be applied to any mega- or meta-analytic study in which item-based behavioral measures need to be harmonized.
- Published
- 2014
97. Sleep Duration, but Not Insomnia, Predicts the 2-Year Course of Depressive and Anxiety Disorders
- Author
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van Mill, JG, Vogelzangs, N, Someren, EJW, Hoogendijk, Witte, Penninx, BWJH, van Mill, JG, Vogelzangs, N, Someren, EJW, Hoogendijk, Witte, and Penninx, BWJH
- Abstract
Objective: To examine the predictive role of insomnia and sleep duration on the 2-year course of depressive and anxiety disorders. Method: This study is a secondary data analysis based on data from the baseline (2004-2007) and 2-year assessment of the Netherlands Study of Depression and Anxiety. Participants were 1,069 individuals with DSM-IV-based depressive and/or anxiety disorders at baseline. Sleep measures included insomnia (Women's Health Initiative Insomnia Rating Scale score >= 9) and sleep duration (categorized as short [<= 6 hours], normal [7-9 hours], or long [>= 10 hours]). Outcome measures were persistence of DSM-IV depressive and anxiety disorders (current diagnosis at 2-year follow-up), time to remission, and clinical course trajectory of symptoms (early sustained remission, late remission/recurrence, and chronic course). Logistic regression analyses were adjusted for sociodemographic characteristics and chronic medical disorders, psychotropic medications, and severity of depressive and anxiety symptoms. Results: The effect of insomnia on persistence of depressive and/or anxiety disorders (OR = 1.50; 95% CI, 1.16-1.94) was explained by severity of baseline depressive/anxiety symptoms (adjusted OR with severity = 1.04; 95% CI, 0.79-1.37). Long sleep duration was independently associated with persistence of depression/anxiety even after adjusting for severity of psychiatric symptoms (OR = 2.52; 95% CI, 1.27-4.99). For short sleep duration, the independent association with persistence of combined depression/anxiety showed a trend toward significance (OR = 1.32; 95% CI, 0.98-1.78), and a significant association for the persistence of depressive disorders (OR = 1.49; 95% CI, 1.11-2.00). Both short and long sleep duration were independently associated with a chronic course trajectory (short sleep: OR = 1.50; 95% CI, 1.04-2.16; long sleep: OR = 2.91, 95% CI, 1.22-6.93). Discussion: Both short and long sleep duration-but not insomnia-are importa
- Published
- 2014
98. Side effects of antidepressants during long-term use in a naturalistic setting
- Author
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Bet, P.M. (Pierre), Hugtenburg, J.G. (Jacqueline), Penninx, BWJH, Hoogendijk, Witte, Bet, P.M. (Pierre), Hugtenburg, J.G. (Jacqueline), Penninx, BWJH, and Hoogendijk, Witte
- Abstract
Side effects of antidepressants are usually underreported in clinical trials and large scale naturalistic studies are restricted to six months of use. We examined the prevalence and nature of patient-perceived side effects and their determinants during long-term antidepressant use in a naturalistic setting. Subjects, aged 19 to 67 years, in the Netherlands Study of Depression and Anxiety were recruited from primary care and specialized mental health care covered 927 cases of single antidepressant use. In 64% of cases, on average, 2.9 side effects were reported. The number of side effects was higher when subjects had higher depression severity (OR=1.28; p=0.002), three or more psychiatric diagnoses (OR=1.97; p=0.02), higher dose (OR=1.44; p=0.006) and was lower when subjects were older (OR=0.83; p=0.02) and had longer duration of use (OR=0.94; p=0.04). Tricyclic antidepressants were associated with more side effects (OR=2.52; p=0.003) and, particularly, more anticholinergic effects, like dry mouth and constipation, as compared to selective serotonin reuptake inhibitors. Venlafaxine showed more profuse sweating (OR=1.79; p=0.007), whereas mirtazapine showed more weight gain and less sexual dysfunction (OR=0.36; p=0.03), as compared to selective serotonin reuptake inhibitors. Weight gain was associated with female gender (OR=1.76; p=0.004) and duration of use (OR=1.06; p=0.03). We show that antidepressant side effect, known from short-term studies, persist during long-term use and are associated with depression severity and antidepressant dose. A novel finding was that venlafaxine is associated with more profuse sweating and that weight gain appeared more specific in female users. Clinicians should be aware that, during long-term antidepressant use, side effects are common and persistent. (C) 2013 Elsevier B.V. and ECNP. All rights reserved.
- Published
- 2013
99. The Role of Adiposity in Cardiometabolic Traits: A Mendelian Randomization Analysis
- Author
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Fall, T, Hagg, S, Magi, R, Ploner, A, Fischer, K (Kirsten), Horikoshi, M, Sarin, AP, Thorleifsson, G, Ladenvall, C, Kals, M, Kuningas, Maris, Draisma, HHM, Ried, JS, van Zuydam, NR, Huikari, V, Mangino, M, Sonestedt, E, Benyamin, B, Nelson, CP, Rivera, NV, Kristiansson, K, Shen, HY, Havulinna, AS, Dehghan, Abbas, Donnelly, LA, Kaakinen, M, Nuotio, ML, Robertson, N, Bruijn, Renee, Ikram, Arfan, Amin, Najaf, Balmforth, AJ, Braund, PS, Doney, ASF, Doring, A, Elliott, P, Esko, T, Franco Duran, OH, Gretarsdottir, S, Hartikainen, AL, Heikkila, K, Herzig, KH, Holm, H, Hottenga, JJ (Jouke Jan), Hypponen, E, Illig, T, Isaacs, Aaron, Isomaa, B, Karssen, Lennart, Kettunen, J, Koenig, W, Kuulasmaa, K, Laatikainen, T, Laitinen, J, Lindgren, C, Lyssenko, V, Laara, E, Rayner, NW, Mannisto, S, Pouta, A, Rathmann, W, Rivadeneira, Fernando, Ruokonen, A, Savolainen, MJ, Sijbrands, E.J.G., Small, KS, Smit, JH, Steinthorsdottir, V, Syvanen, AC, Taanila, A, Tobin, MD, Uitterlinden, André, Willems, SM, Willemsen, G, Witteman, JCM, Perola, M, Evans, A, Ferrieres, J, Virtamo, J, Kee, F, Tregouet, DA, Arveiler, D, Amouyel, P, Ferrario, MM, Brambilla, P, Hall, AS, Heath, A, Madden, PAF, Martin, NG, Montgomery, GW, Whitfield, JB, Jula, A, Knekt, P, Oostra, Ben, Duijn, Cornelia, Penninx, BWJH, Smith, GD, Kaprio, J, Samani, NJ, Gieger, C, Peters, A, Wichmann, HE, Boomsma, DI, de Geus, EJC, Tuomi, T, Power, C, Hammond, CJ, Spector, TD, Lind, L, Orho-Melander, M, Palmer, CNA, Morris, AD, Groop, L, Jarvelin, MR, Salomaa, V, Vartiainen, E, Hofman, Bert, Ripatti, S, Metspalu, A, Thorsteinsdottir, U, Stefansson, K, Pedersen, NL, McCarthy, MI, Ingelsson, E, Prokopenko, I, Fall, T, Hagg, S, Magi, R, Ploner, A, Fischer, K (Kirsten), Horikoshi, M, Sarin, AP, Thorleifsson, G, Ladenvall, C, Kals, M, Kuningas, Maris, Draisma, HHM, Ried, JS, van Zuydam, NR, Huikari, V, Mangino, M, Sonestedt, E, Benyamin, B, Nelson, CP, Rivera, NV, Kristiansson, K, Shen, HY, Havulinna, AS, Dehghan, Abbas, Donnelly, LA, Kaakinen, M, Nuotio, ML, Robertson, N, Bruijn, Renee, Ikram, Arfan, Amin, Najaf, Balmforth, AJ, Braund, PS, Doney, ASF, Doring, A, Elliott, P, Esko, T, Franco Duran, OH, Gretarsdottir, S, Hartikainen, AL, Heikkila, K, Herzig, KH, Holm, H, Hottenga, JJ (Jouke Jan), Hypponen, E, Illig, T, Isaacs, Aaron, Isomaa, B, Karssen, Lennart, Kettunen, J, Koenig, W, Kuulasmaa, K, Laatikainen, T, Laitinen, J, Lindgren, C, Lyssenko, V, Laara, E, Rayner, NW, Mannisto, S, Pouta, A, Rathmann, W, Rivadeneira, Fernando, Ruokonen, A, Savolainen, MJ, Sijbrands, E.J.G., Small, KS, Smit, JH, Steinthorsdottir, V, Syvanen, AC, Taanila, A, Tobin, MD, Uitterlinden, André, Willems, SM, Willemsen, G, Witteman, JCM, Perola, M, Evans, A, Ferrieres, J, Virtamo, J, Kee, F, Tregouet, DA, Arveiler, D, Amouyel, P, Ferrario, MM, Brambilla, P, Hall, AS, Heath, A, Madden, PAF, Martin, NG, Montgomery, GW, Whitfield, JB, Jula, A, Knekt, P, Oostra, Ben, Duijn, Cornelia, Penninx, BWJH, Smith, GD, Kaprio, J, Samani, NJ, Gieger, C, Peters, A, Wichmann, HE, Boomsma, DI, de Geus, EJC, Tuomi, T, Power, C, Hammond, CJ, Spector, TD, Lind, L, Orho-Melander, M, Palmer, CNA, Morris, AD, Groop, L, Jarvelin, MR, Salomaa, V, Vartiainen, E, Hofman, Bert, Ripatti, S, Metspalu, A, Thorsteinsdottir, U, Stefansson, K, Pedersen, NL, McCarthy, MI, Ingelsson, E, and Prokopenko, I
- Published
- 2013
100. Eight common genetic variants associated with serum dheas levels suggest a key role in ageing mechanisms
- Author
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Zhai, G, Teumer, A, Stolk, L, Perry, JRB, Vandenput, L, Coviello, AD, Koster, A, Bell, JT, Bhasin, S, Eriksson, J, Eriksson, A, Ernst, F, Ferrucci, L, Frayling, TM, Glass, D, Grundberg, E, Haring, R, HedmanÅ, AK, Hofman, A, Kiel, DP, Kroemer, HK, Liu, Y, Lunetta, KL, Maggio, M, Lorentzon, M, Mangino, M, Melzer, D, Miljkovic, I, Nica, A, Penninx, BWJH, Vasan, RS, Rivadeneira, F, Small, KS, Soranzo, N, Uitterlinden, AG, Völzke, H, Wilson, SG, Xi, L, Zhuang, WV, Harris, TB, Murabito, JM, Ohlsson, C, Murray, A, de Jong, FH, Spector, TD, Wallaschofski, H, Zhai, G, Teumer, A, Stolk, L, Perry, JRB, Vandenput, L, Coviello, AD, Koster, A, Bell, JT, Bhasin, S, Eriksson, J, Eriksson, A, Ernst, F, Ferrucci, L, Frayling, TM, Glass, D, Grundberg, E, Haring, R, HedmanÅ, AK, Hofman, A, Kiel, DP, Kroemer, HK, Liu, Y, Lunetta, KL, Maggio, M, Lorentzon, M, Mangino, M, Melzer, D, Miljkovic, I, Nica, A, Penninx, BWJH, Vasan, RS, Rivadeneira, F, Small, KS, Soranzo, N, Uitterlinden, AG, Völzke, H, Wilson, SG, Xi, L, Zhuang, WV, Harris, TB, Murabito, JM, Ohlsson, C, Murray, A, de Jong, FH, Spector, TD, and Wallaschofski, H
- Abstract
Dehydroepiandrosterone sulphate (DHEAS) is the most abundant circulating steroid secreted by adrenal glands-yet its function is unknown. Its serum concentration declines significantly with increasing age, which has led to speculation that a relative DHEAS deficiency may contribute to the development of common age-related diseases or diminished longevity. We conducted a meta-analysis of genome-wide association data with 14,846 individuals and identified eight independent common SNPs associated with serum DHEAS concentrations. Genes at or near the identified loci include ZKSCAN5 (rs11761528; p = 3.15×10-36), SULT2A1 (rs2637125; p = 2.61×10-19), ARPC1A (rs740160; p = 1.56×10-16), TRIM4 (rs17277546; p = 4.50×10-11), BMF (rs7181230; p = 5.44×10-11), HHEX (rs2497306; p = 4.64×10-9), BCL2L11 (rs6738028; p = 1.72×10-8), and CYP2C9 (rs2185570; p = 2.29×10-8). These genes are associated with type 2 diabetes, lymphoma, actin filament assembly, drug and xenobiotic metabolism, and zinc finger proteins. Several SNPs were associated with changes in gene expression levels, and the related genes are connected to biological pathways linking DHEAS with ageing. This study provides much needed insight into the function of DHEAS.
- Published
- 2011
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