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3. Genetic variants associated with longitudinal changes in brain structure across the lifespan

Author

Brouwer, Rachel M, Klein, Marieke, Grasby, Katrina L, Schnack, Hugo G, Jahanshad, Neda, Teeuw, Jalmar, Thomopoulos, Sophia I, Sprooten, Emma, Franz, Carol E, Gogtay, Nitin, Kremen, William S, Panizzon, Matthew S, Olde Loohuis, Loes M, Whelan, Christopher D, Aghajani, Moji, Alloza, Clara, Alnæs, Dag, Artiges, Eric, Ayesa-Arriola, Rosa, Barker, Gareth J, Bastin, Mark E, Blok, Elisabet, Bøen, Erlend, Breukelaar, Isabella A, Bright, Joanna K, Buimer, Elizabeth EL, Bülow, Robin, Cannon, Dara M, Ciufolini, Simone, Crossley, Nicolas A, Damatac, Christienne G, Dazzan, Paola, de Mol, Casper L, de Zwarte, Sonja MC, Desrivières, Sylvane, Díaz-Caneja, Covadonga M, Doan, Nhat Trung, Dohm, Katharina, Fröhner, Juliane H, Goltermann, Janik, Grigis, Antoine, Grotegerd, Dominik, Han, Laura KM, Harris, Mathew A, Hartman, Catharina A, Heany, Sarah J, Heindel, Walter, Heslenfeld, Dirk J, Hohmann, Sarah, Ittermann, Bernd, Jansen, Philip R, Janssen, Joost, Jia, Tianye, Jiang, Jiyang, Jockwitz, Christiane, Karali, Temmuz, Keeser, Daniel, Koevoets, Martijn GJC, Lenroot, Rhoshel K, Malchow, Berend, Mandl, René CW, Medel, Vicente, Meinert, Susanne, Morgan, Catherine A, Mühleisen, Thomas W, Nabulsi, Leila, Opel, Nils, de la Foz, Víctor Ortiz-García, Overs, Bronwyn J, Paillère Martinot, Marie-Laure, Redlich, Ronny, Marques, Tiago Reis, Repple, Jonathan, Roberts, Gloria, Roshchupkin, Gennady V, Setiaman, Nikita, Shumskaya, Elena, Stein, Frederike, Sudre, Gustavo, Takahashi, Shun, Thalamuthu, Anbupalam, Tordesillas-Gutiérrez, Diana, van der Lugt, Aad, van Haren, Neeltje EM, Wardlaw, Joanna M, Wen, Wei, Westeneng, Henk-Jan, Wittfeld, Katharina, Zhu, Alyssa H, Zugman, Andre, Armstrong, Nicola J, Bonfiglio, Gaia, Bralten, Janita, Dalvie, Shareefa, Davies, Gail, Di Forti, Marta, Ding, Linda, Donohoe, Gary, Forstner, Andreas J, and Gonzalez-Peñas, Javier

Subjects
Biological Psychology, Psychology, Genetics, Biomedical Imaging, Mental Health, Biotechnology, Human Genome, Prevention, Aging, Brain Disorders, Neurosciences, 2.1 Biological and endogenous factors, Aetiology, Mental health, Neurological, Brain, Genome-Wide Association Study, Humans, Longevity, Magnetic Resonance Imaging, IMAGEN Consortium, Cognitive Sciences, Neurology & Neurosurgery, Biological psychology
Abstract

Human brain structure changes throughout the lifespan. Altered brain growth or rates of decline are implicated in a vast range of psychiatric, developmental and neurodegenerative diseases. In this study, we identified common genetic variants that affect rates of brain growth or atrophy in what is, to our knowledge, the first genome-wide association meta-analysis of changes in brain morphology across the lifespan. Longitudinal magnetic resonance imaging data from 15,640 individuals were used to compute rates of change for 15 brain structures. The most robustly identified genes GPR139, DACH1 and APOE are associated with metabolic processes. We demonstrate global genetic overlap with depression, schizophrenia, cognitive functioning, insomnia, height, body mass index and smoking. Gene set findings implicate both early brain development and neurodegenerative processes in the rates of brain changes. Identifying variants involved in structural brain changes may help to determine biological pathways underlying optimal and dysfunctional brain development and aging.

Published
2022

5. Age Trajectories of the Structural Connectome in Child and Adolescent Offspring of Individuals With Bipolar Disorder or Schizophrenia

Author

Affectieve & Psychotische Med., Diagnostiek & Vroege Psychose Medisch, Onderzoeksgroep 1, Poortman, Simon R., Barendse, Marjolein E.A., Setiaman, Nikita, van den Heuvel, Martijn P., de Lange, Siemon C., Hillegers, Manon H.J., van Haren, Neeltje E.M., Affectieve & Psychotische Med., Diagnostiek & Vroege Psychose Medisch, Onderzoeksgroep 1, Poortman, Simon R., Barendse, Marjolein E.A., Setiaman, Nikita, van den Heuvel, Martijn P., de Lange, Siemon C., Hillegers, Manon H.J., and van Haren, Neeltje E.M.

Published
2024

6. Non-linear development of brain morphometry in child and adolescent offspring of individuals with bipolar disorder or schizophrenia

Author

Onderzoek, Diagnostiek & Vroege Psychose Medisch, Onderzoeksgroep 1, Poortman, Simon R., Setiaman, Nikita, Barendse, Marjolein E.A., Schnack, Hugo G., Hillegers, Manon H.J., van Haren, Neeltje E.M., Onderzoek, Diagnostiek & Vroege Psychose Medisch, Onderzoeksgroep 1, Poortman, Simon R., Setiaman, Nikita, Barendse, Marjolein E.A., Schnack, Hugo G., Hillegers, Manon H.J., and van Haren, Neeltje E.M.

Published
2024

7. Age Trajectories of the Structural Connectome in Child and Adolescent Offspring of Individuals With Bipolar Disorder or Schizophrenia

Author

Poortman, Simon R, Barendse, Marjolein E A, Setiaman, Nikita, van den Heuvel, Martijn P, de Lange, Siemon C, Hillegers, Manon H J, van Haren, Neeltje E M, Poortman, Simon R, Barendse, Marjolein E A, Setiaman, Nikita, van den Heuvel, Martijn P, de Lange, Siemon C, Hillegers, Manon H J, and van Haren, Neeltje E M

Abstract

BACKGROUND: Offspring of parents with severe mental illness (e.g., bipolar disorder or schizophrenia) are at elevated risk of developing psychiatric illness owing to both genetic predisposition and increased burden of environmental stress. Emerging evidence indicates a disruption of brain network connectivity in young offspring of patients with bipolar disorder and schizophrenia, but the age trajectories of these brain networks in this high-familial-risk population remain to be elucidated.METHODS: A total of 271 T1-weighted and diffusion-weighted scans were obtained from 174 offspring of at least 1 parent diagnosed with bipolar disorder (n = 74) or schizophrenia (n = 51) and offspring of parents without severe mental illness (n = 49). The age range was 8 to 23 years; 97 offspring underwent 2 scans. Anatomical brain networks were reconstructed into structural connectivity matrices. Network analysis was performed to investigate anatomical brain connectivity.RESULTS: Offspring of parents with schizophrenia had differential trajectories of connectivity strength and clustering compared with offspring of parents with bipolar disorder and parents without severe mental illness, of global efficiency compared with offspring of parents without severe mental illness, and of local connectivity compared with offspring of parents with bipolar disorder.CONCLUSIONS: The findings of this study suggest that familial high risk of schizophrenia is related to deviations in age trajectories of global structural connectome properties and local connectivity strength.

Published
2024

8. Emerging psychopathology and clinical staging in adolescent offspring of parents with bipolar disorder or schizophrenia—A longitudinal study

Author

Setiaman, Nikita, Mesman, Esther, van Haren, Neeltje, Hillegers, Manon, Setiaman, Nikita, Mesman, Esther, van Haren, Neeltje, and Hillegers, Manon

Abstract

Objectives: Offspring of parents with bipolar disorder (BDo) and schizophrenia (SZo) are at increased risk for these disorders and general psychopathology. Little is known about their (dis)similarities in risk and developmental trajectories during adolescence. A clinical staging approach may help define the developmental course of illness. Methods: The Dutch Bipolar and Schizophrenia Offspring Study is a unique cross-disorder and prospective cohort study, established in 2010. In total, 208 offspring (58 SZo, 94 BDo, and 56 control offspring [Co]) and their parents participated. Offspring were 13.2 years (SD = 2.5; range: 8–18 years) at baseline and 17.1 years (SD = 2.7) at follow-up (88.5% retention rate). Psychopathology was assessed using the Kiddie Schedule for Affective Disorders and Schizophrenia for School Age Children Present and Lifetime Version, and Achenbach System of Empirically Based Assessment parent-, self- and teacher-reports. Groups were compared on (1) the presence of categorical psychopathology, (2) timing and development of psychopathology using a clinical staging perspective, and (3) dimensional psychopathology using a multi-informant approach. Results: SZo and BDo showed more categorical psychopathology and (sub)clinical symptoms, as compared to Co. SZo have, compared to BDo, an increased risk for developmental disorders, a younger age of onset, and more (sub)clinical symptoms of the mood and behavioral spectrum as reported by multiple informants. Conclusions: Our study shows that the phenotypical risk profile overlaps between SZo and BDo, although an earlier onset of developmental psychopathology was found specifically in SZo, suggesting of a potentially different ethiopathophysiology. Longer follow-up and future studies are needed.

Published
2024

10. Polygenic Scores and Onset of Major Mood or Psychotic Disorders Among Offspring of Affected Parents

Author

Zwicker, Alyson, primary, Fullerton, Janice M., additional, Mullins, Niamh, additional, Rice, Frances, additional, Hafeman, Danella M., additional, van Haren, Neeltje E.M., additional, Setiaman, Nikita, additional, Merranko, John A., additional, Goldstein, Benjamin I., additional, Ferrera, Alessandra G., additional, Stapp, Emma K., additional, de la Serna, Elena, additional, Moreno, Dolores, additional, Sugranyes, Gisela, additional, Herrero, Sergio Mas, additional, Roberts, Gloria, additional, Toma, Claudio, additional, Schofield, Peter R., additional, Edenberg, Howard J., additional, Wilcox, Holly C., additional, McInnis, Melvin G., additional, Powell, Victoria, additional, Propper, Lukas, additional, Denovan-Wright, Eileen, additional, Rouleau, Guy, additional, Castro-Fornieles, Josefina, additional, Hillegers, Manon H.J., additional, Birmaher, Boris, additional, Thapar, Anita, additional, Mitchell, Philip B., additional, Lewis, Cathryn M., additional, Alda, Martin, additional, Nurnberger, John I., additional, and Uher, Rudolf, additional

Published
2023
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11. Polygenic Scores and Onset of Major Mood or Psychotic Disorders Among Offspring of Affected Parents

Author

Canadian Institutes of Health Research, Dalhousie Medical Research Foundation, Ministerio de Sanidad (España), Instituto de Salud Carlos III, European Commission, Lansdowne Foundation, Wolfson Foundation, Government of the United Kingdom, Federal Government of the United States, Zwicker, Alyson, Fullerton, Janice M, Mullins, Niamh, Rice, Frances, Hafeman, Danella M, van Haren, Neeltje E M, Setiaman, Nikita, Merranko, John A, Goldstein, Benjamin I, Ferrera, Alessandra G, Stapp, Emma K, de la Serna, Elena, Moreno, Dolores, Sugranyes, Gisela, Herrero, Sergio Mas, Roberts, Gloria, Toma, Claudio, Schofield, Peter R, Edenberg, Howard J, Wilcox, Holly C, McInnis, Melvin G, Powell, Victoria, Propper, Lukas, Denovan-Wright, Eileen, Rouleau, Guy, Castro-Fornieles, Josefina, Hillegers, Manon H J, Birmaher, Boris, Thapar, Anita, Mitchell, Philip B, Lewis, Cathryn M, Alda, Martin, Nurnberger, John I, Uher, Rudolf, Canadian Institutes of Health Research, Dalhousie Medical Research Foundation, Ministerio de Sanidad (España), Instituto de Salud Carlos III, European Commission, Lansdowne Foundation, Wolfson Foundation, Government of the United Kingdom, Federal Government of the United States, Zwicker, Alyson, Fullerton, Janice M, Mullins, Niamh, Rice, Frances, Hafeman, Danella M, van Haren, Neeltje E M, Setiaman, Nikita, Merranko, John A, Goldstein, Benjamin I, Ferrera, Alessandra G, Stapp, Emma K, de la Serna, Elena, Moreno, Dolores, Sugranyes, Gisela, Herrero, Sergio Mas, Roberts, Gloria, Toma, Claudio, Schofield, Peter R, Edenberg, Howard J, Wilcox, Holly C, McInnis, Melvin G, Powell, Victoria, Propper, Lukas, Denovan-Wright, Eileen, Rouleau, Guy, Castro-Fornieles, Josefina, Hillegers, Manon H J, Birmaher, Boris, Thapar, Anita, Mitchell, Philip B, Lewis, Cathryn M, Alda, Martin, Nurnberger, John I, and Uher, Rudolf

Abstract

Objective: Family history is an established risk factor for mental illness. The authors sought to investigate whether polygenic scores (PGSs) can complement family history to improve identification of risk for major mood and psychotic disorders. Methods: Eight cohorts were combined to create a sample of 1,884 participants ages 2¿36 yea

Published
2023

14. Brain structure, IQ, and psychopathology in young offspring of patients with schizophrenia or bipolar disorder

Author

Onderzoeksgroep 1, Onderzoeksgroep 2, Brain, Onderzoeksgroep 11, Diagnostiek & Vroege Psychose Medisch, van Haren, Neeltje E M, Setiaman, Nikita, Koevoets, Martijn G J C, Baalbergen, Heleen, Kahn, Rene S, Hillegers, Manon H J, Onderzoeksgroep 1, Onderzoeksgroep 2, Brain, Onderzoeksgroep 11, Diagnostiek & Vroege Psychose Medisch, van Haren, Neeltje E M, Setiaman, Nikita, Koevoets, Martijn G J C, Baalbergen, Heleen, Kahn, Rene S, and Hillegers, Manon H J

Published
2020

17. F17. DIFFERENCES IN INTRACRANIAL VOLUME, IQ AND PSYCHOPATHOLOGY IN YOUNG OFFSPRING OF PATIENTS AFFECTED WITH SCHIZOPHRENIA OR BIPOLAR DISORDER

Author

Setiaman Nikita, Neeltje E.M. van Haren, Matthijs Vink, René S. Kahn, Martijn G.J.C. Koevoets, Heleen Baalbergen, Manon H.J. Hillegers, and Esther Mesman

Subjects
Poster Session II, business.industry, Offspring, medicine.disease, Abstracts, Psychiatry and Mental health, Text mining, Schizophrenia, Intracranial volume, medicine, Bipolar disorder, business, Psychopathology, Clinical psychology
Abstract

Background Offspring of patients with schizophrenia and bipolar disorder are at increased risk to develop psychopathology. It has been suggested that the development of these disorders may be a result of early neurodevelopmental abnormalities. The intracranial volume (ICV) is a direct marker for neurodevelopment in the early years, as ICV reaches 90% of its full size around the age of five. Interestingly, a smaller ICV is more consistently found in SZ patients, compared to controls, than in bipolar disorder patients. The offspring of these two patients group may provide important information on the putative neurodevelopmental trajectory underlying the development of these disorders. We compared ICV between offspring of at least one parent with SZ (SZo) or BD (BDo) and control offspring (Co) in relation to IQ and the presence of psychopathology. Methods A large sample of children and adolescents (8–18 years old; 54 SZo, 90 BDo, and 46 Co) was included. T1-weighted (3-Tesla) MRI brain scans were available for 146 participants. Group differences in ICV, global and local brain measures, psychopathology (K-SADS-PL, CBCL/6–18), IQ (WISC-III/WAIS-III), and their interactions were analyzed. FreeSurfer-5.3.0 was used for subcortical and cortical volume, cortical thickness, and cortical surface area estimations. Groups were compared using linear mixed effects modeling, corrected for family dependencies. FDR-correction was applied. Results Our main finding was that ICV was significantly smaller in SZo, compared to BDo and Co. IQ was significantly lower in both SZo and BDo, relative to Co, but could not explain the smaller ICV in SZo. ICV was also not explained by psychopathology, even though there was no significant difference in ‘any psychopathology’ between SZo and BDo. There was however some illness specificity as BDo had a higher prevalence of ‘any mood disorder’ as compared with Co, and SZo had a higher prevalence of major depressive disorder and autism spectrum disorders as compared with BDo and Co. After correcting for ICV, the cortex was significantly thinner in SZo compared to BDo and Co, and BDo had larger lateral ventricles than Co. Without correction for ICV, volumes of the total brain and gray matter were significantly smaller in SZo than in BDo and Co. Cortical white matter volume was significantly smaller in SZo as compared with Co. Discussion Irrespective of a lower IQ and increased presence of psychopathology in both high-risk offspring groups, abnormal early brain development, expressed as smaller ICV, differentiates offspring of patients with schizophrenia from offspring of patients with bipolar disorder and offspring of healthy parents. This suggest that the risk for schizophrenia is, in contrast to that in bipolar disorder, characterized by stunted brain development.

Published
2018

19. Dynamics of Brain Structure and its Genetic Architecture over the Lifespan

Author

Brouwer, Rachel M., Klein, Marieke, Grasby, Katrina L., Schnack, Hugo G., Jahanshad, Neda, Teeuw, Jalmar, Thomopoulos, Sophia I., Sprooten, Emma, Franz, Carol E., Gogtay, Nitin, Kremen, William S., Panizzon, Matthew S., Loohuis, Loes M. Olde, Whelan, Christopher D., Aghajani, Moji, Alloza, Clara, Alnæs, Dag, Artiges, Eric, Ayesa-Arriola, Rosa, Barker, Gareth J., Blok, Elisabet, Bøen, Erlend, Breukelaar, Isabella A., Bright, Joanna K., Buimer, Elizabeth E. L., Bülow, Robin, Cannon, Dara M., Ciufolini, Simone, Crossley, Nicolas A., Damatac, Christienne G., Dazzan, Paola, Mol, Casper L. de, Zwarte, Sonja M. C. de, Desrivières, Sylvane, Díaz-Caneja, Covadonga M., Doan, Nhat Trung, Dohm, Katharina, Fröhner, Juliane H., Goltermann, Janik, Grigis, Antoine, Grotegerd, Dominik, Han, Laura K. M., Hartman, Catharina A., Heany, Sarah J., Heindel, Walter, Heslenfeld, Dirk J., Hohmann, Sarah, Ittermann, Bernd, Jansen, Philip R., Janssen, Joost, Jia, Tianye, Jiang, Jiyang, Jockwitz, Christiane, Karali, Temmuz, Keeser, Daniel, Koevoets, Martijn G. J. C., Lenroot, Rhoshel K., Malchow, Berend, Mandl, René C. W., Medel, Vicente, Meinert, Susanne, Morgan, Catherine A., Mühleisen, Thomas W., Nabulsi, Leila, Opel, Nils, Ortiz-García de la Foz, Víctor, Overs, Bronwyn J., Paillère Martinot, Marie-Laure, Quinlan, Erin B., Redlich, Ronny, Marques, Tiago Reis, Repple, Jonathan, Roberts, Gloria, Roshchupkin, Gennady V., Setiaman, Nikita, Shumskaya, Elena, Stein, Frederike, Sudre, Gustavo, Takahashi, Shun, Thalamuthu, Anbupalam, Tordesillas-Gutiérrez, Diana, van der Lugt, Aad, van Haren, Neeltje E. M., Wen, Wei, Westeneng, Henk-Jan, Wittfeld, Katharina, Zugman, Andre, Armstrong, Nicola J., Bralten, Janita, Dalvie, Shareefa, Forti, Marta Di, Ding, Linda, Donohoe, Gary, Forstner, Andreas J., Gonzalez-Peñas, Javier, Guimaraes, Joao P. O. F. T., Homuth, Georg, Hottenga, Jouke-Jan, Knol, Maria J., Kwok, John B. J., Hellard, Stephanie Le, Mather, Karen A., Milaneschi, Yuri, Morris, Derek W., Nöthen, Markus M., Papiol, Sergi, Rietschel, Marcella, Santoro, Marcos L., Steen, Vidar M., Stein, Jason L., Streit, Fabian, Tankard, Rick M., Teumer, Alexander, van ’t Ent, Dennis, van der Meer, Dennis, van Eijk, Kristel R., Vassos, Evangelos, Vázquez-Bourgon, Javier, Witt, Stephanie H., Adams, Hieab H. H., Agartz, Ingrid, Ames, David, Amunts, Katrin, Andreassen, Ole A., Arango, Celso, Banaschewski, Tobias, Baune, Bernhard T., Belangero, Sintia I., Bokde, Arun L. W., Boomsma, Dorret I., Bressan, Rodrigo A., Brodaty, Henry, Buitelaar, Jan K., Cahn, Wiepke, Caspers, Svenja, Cichon, Sven, Facorro, Benedicto Crespo, Dannlowski, Udo, Elvsåshagen, Torbjørn, Espeseth, Thomas, Falkai, Peter G., Fisher, Simon E., Flor, Herta, Fullerton, Janice M., Garavan, Hugh, Gowland, Penny A., Grabe, Hans J., Hahn, Tim, Heinz, Andreas, Hillegers, Manon, Hoare, Jacqueline, Hoekstra, Pieter J., Ikram, Mohammad A., Jackowski, Andrea P., Jansen, Andreas, Jönsson, Erik G., Kahn, Rene S., Kircher, Tilo, Korgaonkar, Mayuresh S., Krug, Axel, Lemaitre, Herve, Malt, Ulrik F., Martinot, Jean-Luc, McDonald, Colm, Mitchell, Philip B., Muetzel, Ryan L., Murray, Robin M., Nees, Frauke, Nenadic, Igor, Oosterlaan, Jaap, Ophoff, Roel A., Pan, Pedro M., Penninx, Brenda W. J. H., Poustka, Luise, Sachdev, Perminder S., Salum, Giovanni A., Schofield, Peter R., Schumann, Gunter, Shaw, Philip, Sim, Kang, Smolka, Michael N., Stein, Dan J., Trollor, Julian, van den Berg, Leonard H., Veldink, Jan H., Walter, Henrik, Westlye, Lars T., Whelan, Robert, White, Tonya, Wright, Margaret J., Medland, Sarah E., Franke, Barbara, Thompson, Paul M., and Pol, Hilleke E. Hulshoff

Subjects
ddc:570
Abstract

Human brain structure changes throughout our lives. Altered brain growth or rates of decline are implicated in a vast range of psychiatric, developmental, and neurodegenerative diseases. While heritable, specific loci in the genome that influence these rates are largely unknown. Here, we sought to find common genetic variants that affect rates of brain growth or atrophy, in the first genome-wide association analysis of longitudinal changes in brain morphology across the lifespan. Longitudinal magnetic resonance imaging data from 10,163 individuals aged 4 to 99 years, on average 3.5 years apart, were used to compute rates of morphological change for 15 brain structures. We discovered 5 genome-wide significant loci and 15 genes associated with brain structural changes. Most individual variants exerted age-dependent effects. All identified genes are expressed in fetal and adult brain tissue, and some exhibit developmentally regulated expression across the lifespan. We demonstrate genetic overlap with depression, schizophrenia, cognitive functioning, height, body mass index and smoking. Several of the discovered loci are implicated in early brain development and point to involvement of metabolic processes. Gene-set findings also implicate immune processes in the rates of brain changes. Taken together, in the world’s largest longitudinal imaging genetics dataset we identified genetic variants that alter age-dependent brain growth and atrophy throughout our lives. One-sentence summary We identified common genetic variants associated with the rate of brain development and aging, in longitudinal MRI scans worldwide.

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20. Dynamics of Brain Structure and its Genetic Architecture over the Lifespan

Author

Brouwer, Rachel M., Klein, Marieke, Grasby, Katrina L., Schnack, Hugo G., Jahanshad, Neda, Teeuw, Jalmar, Thomopoulos, Sophia I., Sprooten, Emma, Franz, Carol E., Gogtay, Nitin, Kremen, William S., Panizzon, Matthew S, Olde Loohuis, Loes M., Whelan, Christopher D., Aghajani, Moji, Alloza, Clara, Alnaes, Dag, Artiges, Eric, Ayesa-Arriola, Rosa, Barker, Gareth J., Blok, Elisabet, Bøen, Erlend, Breukelaar, Isabella A., Bright, Joanna K., Buimer, Elizabeth E.L., Bülow, Robin, Cannon, Dara M., Ciufolini, Simone, Crossley, Nicolas A., Damatac, Christienne G., Dazzan, Paola, de Mol, Casper L., de Zwarte, Sonja M.C., Desrivières, Sylvane, Díaz-Caneja, Covadonga M., Doan, Nhat Trung, Dohm, Katharina, Fröhner, Juliane H., Goltermann, Janik, Grigis, Antoine, Grotegerd, Dominik, Han, Laura K.M., Hartman, Catharina A., Heany, Sarah J., Heindel, Walter, Heslenfeld, Dirk J., Hohmann, Sarah, Ittermann, Bernd, Jansen, Philip R., Janssen, Joost, Jia, Tianya, Jiang, Jiyang, Jockwitz, Christiane, Karali, Temmuz, Keeser, Daniel, Koevoets, Martijn G. J. C., Lenroot, Rhoshel K., Malchow, Berend, Mandl, Rene C.W., Medel, Vicente, Meinert, Susanne, Morgan, Catherine A., Mühleisen, Thomas W., Nabulsi, Leila, Opel, Nils, Ortiz-García de la Foz, Victor, Overs, Bronwyn J., Paillère Martinot, Marie Laure, Quinlan, Erin B., Redlich, Ronny, Reis Marques, Tiago, Repple, Jonathan, Roberts, Gloria, Roshchupkin, Gennady V., Setiaman, Nikita, Shumskaya, Elena, Stein, Frederike, Sudre, Gustavo, Takahashi, Shun, Thalamuthu, Anbupalam, Tordesillas-Gutiérrez, Diana, van der Lugt, Aad, van Haren, Neeltje E.M., Wen, Wei, Westeneng, Henk-Jan, Wittfield, Katharina, Zugman, Andre, Armstrong, Nicola J., Bralten, Janita, Dalvie, Shareefa, Di Forti, Marta, Ding, Linda, Donohoe, Gary, Forstner, Andreas J., Gonzalez-Peñas, Javier, Guimaraes, Joao P. O. F. T., Homuth, Georg, Hottenga, Jouke-Jan, Knol, Maria J., Kwok, John B.J., Le Hellard, Stephanie, Mather, Karen A., Milaneschi, Yuri, Morris, Derek W., Nöthen, Markus M., Papiol, Sergi, Rietsche, Marcella, Santoro, Marcus L., Steen, Vidar M., Stein, Jason L., Streit, Fabian, Tankard, Rick M., Teumer, Alexander, van't Ent, Dennis, van der Meer, Dennis, van Eijk, Kristel R., Vassos, Evangelos, Vázquez-Bourgon, Javier, Witt, Stephanie H., Alzheimer's Disease Neuroimaging Initiative, Adams, Hieab H.H., Agartz, Ingrid, Ames, David, Amunts, Katrin, Andreassen, Ole A., Arango, Celso, Banaschewski, Tobias, Baune, Bernhard T., Belangero, Sintia I., Bokde, Arun L.W., Boomsma, Dorret I., Bressan, Rodrigo A., Brodaty, Henry, Buitelaar, Jan K., Cahn, Wiepke, Caspers, Svenja, Cichon, Sven, Crespo Facorro, Benedicto, Dannlowski, Udo, Elvsåshagen, Torbjørn, Espeseth, Thomas, Falkai, Peter G., Fisher, Simon E., Flor, Herta, Fullerton, Janice M., Garavan, Hugh, Gowland, Penny A., Grabe, Hans J., Hahn, Tim, Heinz, Andreas, Hillegers, Manon, Hoare, Jacqueline, Hoekstra, Pieter J., Ikram, Mohammad A., Jackowski, Andrea P., Jansen, Andreas, Jönsson, Erik G., Kahn, Rene S., Kircher, Tilo, Korgaonkar, Mayuresh S., Krug, Axel, Lemaitre, Herve, Malt, Ulrik F., Martinot, Jean-Luc, McDonald, Colm, Mitchell, Philip B., Muetzel, Ryan L., Murray, Robin M., Nees, Frauke, Nenadic, Igor, Oosterlaan, Jaap, Ophoff, Roel A., Pan, Pedro M., Penninx, Brenda W.J.H., Poustka, Luise, Sachdev, Perminder S., Salum, Giovanni A., Schofield, Peter R., Schumann, Gunter, Shaw, Philip, Sim, Kang, Smolka, Michael N., Stein, Dan J., Trollor, Julian, van den Berg, Leonard H., Veldink, Jan H., Walter, Henrik, Westlye, Lars T., Whelan, Robert, White, Tonya, Wright, Margaret J., Medland, Sarah E., Franke, Barbara, Thompson, Paul M., and Hulshoff Pol, Hilleke E

Subjects
3. Good health
Abstract

The results leading to this publication have received funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No 777394 for the project AIMS-2-TRIALS. This Joint Undertaking receives support from the European Union's Horizon 2020 research and innovation programme and EFPIA and AUTISM SPEAKS, Autistica, SFARI. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results. Any views expressed are those of the author(s) and not necessarily those of the funders.

21. Emerging psychopathology and clinical staging in adolescent offspring of parents with bipolar disorder or schizophrenia-A longitudinal study.

Author

Setiaman N, Mesman E, van Haren N, and Hillegers M

Subjects
Child, Humans, Adolescent, Longitudinal Studies, Prospective Studies, Parents psychology, Bipolar Disorder psychology, Schizophrenia, Child of Impaired Parents psychology
Abstract

Objectives: Offspring of parents with bipolar disorder (BDo) and schizophrenia (SZo) are at increased risk for these disorders and general psychopathology. Little is known about their (dis)similarities in risk and developmental trajectories during adolescence. A clinical staging approach may help define the developmental course of illness., Methods: The Dutch Bipolar and Schizophrenia Offspring Study is a unique cross-disorder and prospective cohort study, established in 2010. In total, 208 offspring (58 SZo, 94 BDo, and 56 control offspring [Co]) and their parents participated. Offspring were 13.2 years (SD = 2.5; range: 8-18 years) at baseline and 17.1 years (SD = 2.7) at follow-up (88.5% retention rate). Psychopathology was assessed using the Kiddie Schedule for Affective Disorders and Schizophrenia for School Age Children Present and Lifetime Version, and Achenbach System of Empirically Based Assessment parent-, self- and teacher-reports. Groups were compared on (1) the presence of categorical psychopathology, (2) timing and development of psychopathology using a clinical staging perspective, and (3) dimensional psychopathology using a multi-informant approach., Results: SZo and BDo showed more categorical psychopathology and (sub)clinical symptoms, as compared to Co. SZo have, compared to BDo, an increased risk for developmental disorders, a younger age of onset, and more (sub)clinical symptoms of the mood and behavioral spectrum as reported by multiple informants., Conclusions: Our study shows that the phenotypical risk profile overlaps between SZo and BDo, although an earlier onset of developmental psychopathology was found specifically in SZo, suggesting of a potentially different ethiopathophysiology. Longer follow-up and future studies are needed., (© 2023 The Authors. Bipolar Disorders published by John Wiley & Sons Ltd.)

Published
2024
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