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519 results on '"Muetzel, Ryan L."'

1. Running in the FAMILY: understanding and predicting the intergenerational transmission of mental illness

Author

van Houtum, Lisanne A. E. M., Baaré, William F. C., Beckmann, Christian F., Castro-Fornieles, Josefina, Cecil, Charlotte A. M., Dittrich, Juliane, Ebdrup, Bjørn H., Fegert, Jörg M., Havdahl, Alexandra, Hillegers, Manon H. J., Kalisch, Raffael, Kushner, Steven A., Mansuy, Isabelle M., Mežinska, Signe, Moreno, Carmen, Muetzel, Ryan L., Neumann, Alexander, Nordentoft, Merete, Pingault, Jean-Baptiste, Preisig, Martin, Raballo, Andrea, Saunders, John, Sprooten, Emma, Sugranyes, Gisela, Tiemeier, Henning, van Woerden, Geeske M., Vandeleur, Caroline L., and van Haren, Neeltje E. M.

Published
2024
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22. 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 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., 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 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, 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 E. M., 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., 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, 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, Crespo-Facorro, Benedicto, Cox, Simon R., 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, Nenadić, 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 N., 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.

Published
2022
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23. Genome-wide association study of 23,500 individuals identifies 7 loci associated with brain ventricular volume.

Author

Vojinovic, Dina, Adams, Hieab H, Jian, Xueqiu, Yang, Qiong, Smith, Albert Vernon, Bis, Joshua C, Teumer, Alexander, Scholz, Markus, Armstrong, Nicola J, Hofer, Edith, Saba, Yasaman, Luciano, Michelle, Bernard, Manon, Trompet, Stella, Yang, Jingyun, Gillespie, Nathan A, van der Lee, Sven J, Neumann, Alexander, Ahmad, Shahzad, Andreassen, Ole A, Ames, David, Amin, Najaf, Arfanakis, Konstantinos, Bastin, Mark E, Becker, Diane M, Beiser, Alexa S, Beyer, Frauke, Brodaty, Henry, Bryan, R Nick, Bülow, Robin, Dale, Anders M, De Jager, Philip L, Deary, Ian J, DeCarli, Charles, Fleischman, Debra A, Gottesman, Rebecca F, van der Grond, Jeroen, Gudnason, Vilmundur, Harris, Tamara B, Homuth, Georg, Knopman, David S, Kwok, John B, Lewis, Cora E, Li, Shuo, Loeffler, Markus, Lopez, Oscar L, Maillard, Pauline, El Marroun, Hanan, Mather, Karen A, Mosley, Thomas H, Muetzel, Ryan L, Nauck, Matthias, Nyquist, Paul A, Panizzon, Matthew S, Pausova, Zdenka, Psaty, Bruce M, Rice, Ken, Rotter, Jerome I, Royle, Natalie, Satizabal, Claudia L, Schmidt, Reinhold, Schofield, Peter R, Schreiner, Pamela J, Sidney, Stephen, Stott, David J, Thalamuthu, Anbupalam, Uitterlinden, Andre G, Valdés Hernández, Maria C, Vernooij, Meike W, Wen, Wei, White, Tonya, Witte, A Veronica, Wittfeld, Katharina, Wright, Margaret J, Yanek, Lisa R, Tiemeier, Henning, Kremen, William S, Bennett, David A, Jukema, J Wouter, Paus, Tomas, Wardlaw, Joanna M, Schmidt, Helena, Sachdev, Perminder S, Villringer, Arno, Grabe, Hans Jörgen, Longstreth, WT, van Duijn, Cornelia M, Launer, Lenore J, Seshadri, Sudha, Ikram, M Arfan, and Fornage, Myriam

Subjects
Lateral Ventricles, Humans, Organ Size, Genome, Human, Aged, Middle Aged, Genome-Wide Association Study, Human Genome, Aging, Genetics, 2.1 Biological and endogenous factors, Neurological
Abstract

The volume of the lateral ventricles (LV) increases with age and their abnormal enlargement is a key feature of several neurological and psychiatric diseases. Although lateral ventricular volume is heritable, a comprehensive investigation of its genetic determinants is lacking. In this meta-analysis of genome-wide association studies of 23,533 healthy middle-aged to elderly individuals from 26 population-based cohorts, we identify 7 genetic loci associated with LV volume. These loci map to chromosomes 3q28, 7p22.3, 10p12.31, 11q23.1, 12q23.3, 16q24.2, and 22q13.1 and implicate pathways related to tau pathology, S1P signaling, and cytoskeleton organization. We also report a significant genetic overlap between the thalamus and LV volumes (ρgenetic = -0.59, p-value = 3.14 × 10-6), suggesting that these brain structures may share a common biology. These genetic associations of LV volume provide insights into brain morphology.

Published
2018

28. Examining associations between brain morphology in late childhood and early alcohol or tobacco use initiation in adolescence:findings from a large prospective cohort

Author

Boer, Olga D, Franken, Ingmar H A, Muetzel, Ryan L, Cousijn, Janna, El Marroun, Hanan, Boer, Olga D, Franken, Ingmar H A, Muetzel, Ryan L, Cousijn, Janna, and El Marroun, Hanan

Abstract

A prominent challenge in understanding neural consequences of substance use involves disentangling predispositional risk factors from resulting consequences of substance use. Existing literature has identified pre-existing brain variations as vulnerability markers for substance use throughout adolescence. As early initiation of use is an important predictor for later substance use problems, we examined whether pre-existing brain variations are associated with early initiation of use. In the Generation R Study, a prospective population-based cohort, brain morphology (gray matter volume, cortical thickness and surface area) was assessed at ages 10 and 14 using neuroimaging. In the second wave, participants reported on alcohol and tobacco use initiation. From a base study population (N = 3019), we examined the longitudinal (N = 2218) and cross-sectional (N = 1817) association between brain morphology of frontolimbic regions of interest known to be associated with substance use risk, and very early (age < 13) alcohol/tobacco use initiation. Additionally, longitudinal and cross-sectional associations were examined with a brain surface-based approach. Models were adjusted for age at neuroimaging, sex and relevant sociodemographic factors. No associations were found between brain morphology (ages 10 and 14) and early alcohol/tobacco use initiation (<13 years). Sex-specific analyses suggested a cross-sectional association between smaller brain volume and early initiated tobacco use in girls. Our findings are important for interpreting studies examining neural consequences of substance use in the general population. Future longitudinal studies are needed to specify whether these findings can be extended to initiation and continuation of alcohol/tobacco use in later stages of adolescence.

Published
2024

29. Examining the interaction between prenatal stress and polygenic risk for attention-deficit/hyperactivity disorder on brain growth in childhood:Findings from the DREAM BIG consortium

Author

López-Vicente, Mónica, Szekely, Eszter, Lafaille-Magnan, Marie Elyse, Morton, J. Bruce, Oberlander, Tim F., Greenwood, Celia M.T., Muetzel, Ryan L., Tiemeier, Henning, Qiu, Anqi, Wazana, Ashley, White, Tonya, López-Vicente, Mónica, Szekely, Eszter, Lafaille-Magnan, Marie Elyse, Morton, J. Bruce, Oberlander, Tim F., Greenwood, Celia M.T., Muetzel, Ryan L., Tiemeier, Henning, Qiu, Anqi, Wazana, Ashley, and White, Tonya

Abstract

This study explored the interactions among prenatal stress, child sex, and polygenic risk scores (PGS) for attention-deficit/hyperactivity disorder (ADHD) on structural developmental changes of brain regions implicated in ADHD. We used data from two population-based birth cohorts: Growing Up in Singapore Towards healthy Outcomes (GUSTO) from Singapore (n = 113) and Generation R from Rotterdam, the Netherlands (n = 433). Prenatal stress was assessed using questionnaires. We obtained latent constructs of prenatal adversity and prenatal mood problems using confirmatory factor analyses. The participants were genotyped using genome-wide single nucleotide polymorphism arrays, and ADHD PGSs were computed. Magnetic resonance imaging scans were acquired at 4.5 and 6 years (GUSTO), and at 10 and 14 years (Generation R). We estimated the age-related rate of change for brain outcomes related to ADHD and performed (1) prenatal stress by sex interaction models, (2) prenatal stress by ADHD PGS interaction models, and (3) 3-way interaction models, including prenatal stress, sex, and ADHD PGS. We observed an interaction between prenatal stress and ADHD PGS on mean cortical thickness annual rate of change in Generation R (i.e., in individuals with higher ADHD PGS, higher prenatal stress was associated with a lower rate of cortical thinning, whereas in individuals with lower ADHD PGS, higher prenatal stress was associated with a higher rate of cortical thinning). None of the other tested interactions were statistically significant. Higher prenatal stress may promote a slower brain developmental rate during adolescence in individuals with higher ADHD genetic vulnerability, whereas it may promote a faster brain developmental rate in individuals with lower ADHD genetic vulnerability.

Published
2024

30. Attention-deficit hyperactivity disorder symptoms and brain morphology:Addressing potential selection bias with inverse probability weighting

Author

Dijkzeul, Annet, Tiemeier, Henning, Muetzel, Ryan L., Labrecque, Jeremy A., Dijkzeul, Annet, Tiemeier, Henning, Muetzel, Ryan L., and Labrecque, Jeremy A.

Abstract

The goal of this study was to examine what happens to established associations between attention deficit hyperactivity disorder (ADHD) symptoms and cortical surface and thickness regions once we apply inverse probability of censoring weighting (IPCW) to address potential selection bias. Moreover, we illustrate how different factors that predict participation contribute to potential selection bias. Participants were 9- to 11-year-old children from the Generation R study (N = 2707). Cortical area and thickness were measured with magnetic resonance imaging (MRI) and ADHD symptoms with the Child Behavior Checklist. We examined how associations between ADHD symptoms and brain morphology change when we weight our sample back to either follow-up (ages 9–11), baseline (cohort at birth), or eligible (population of Rotterdam at time of recruitment). Weights were derived using IPCW or raking and missing predictors of participation used to estimate weights were imputed. Weighting analyses to baseline and eligible increased beta coefficients for the middle temporal gyrus surface area, as well as fusiform gyrus cortical thickness. Alternatively, the beta coefficient for the rostral anterior cingulate decreased. Removing one group of variables used for estimating weights resulted in the weighted regression coefficient moving closer to the unweighted regression coefficient. In addition, we found considerably different beta coefficients for most surface area regions and all thickness measures when we did not impute missing covariate data. Our findings highlight the importance of using inverse probability weighting (IPW) in the neuroimaging field, especially in the context of mental health-related research. We found that including all variables related to exposure-outcome in the IPW model and combining IPW with multiple imputations can help reduce bias. We encourage future psychiatric neuroimaging studies to define their target population, collect information on eligible but not i

Published
2024

35. Examining the interaction between prenatal stress and polygenic risk for attention‐deficit/hyperactivity disorder on brain growth in childhood: Findings from the DREAM BIG consortium

Author

López‐Vicente, Mónica, primary, Szekely, Eszter, additional, Lafaille‐Magnan, Marie‐Elyse, additional, Morton, J. Bruce, additional, Oberlander, Tim F., additional, Greenwood, Celia M. T., additional, Muetzel, Ryan L., additional, Tiemeier, Henning, additional, Qiu, Anqi, additional, Wazana, Ashley, additional, and White, Tonya, additional

Published
2024
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38. Novel genetic loci underlying human intracranial volume identified through genome-wide association

Author

Adams, Hieab HH, Hibar, Derrek P, Chouraki, Vincent, Stein, Jason L, Nyquist, Paul A, Rentería, Miguel E, Trompet, Stella, Arias-Vasquez, Alejandro, Seshadri, Sudha, Desrivières, Sylvane, Beecham, Ashley H, Jahanshad, Neda, Wittfeld, Katharina, Van der Lee, Sven J, Abramovic, Lucija, Alhusaini, Saud, Amin, Najaf, Andersson, Micael, Arfanakis, Konstantinos, Aribisala, Benjamin S, Armstrong, Nicola J, Athanasiu, Lavinia, Axelsson, Tomas, Beiser, Alexa, Bernard, Manon, Bis, Joshua C, Blanken, Laura ME, Blanton, Susan H, Bohlken, Marc M, Boks, Marco P, Bralten, Janita, Brickman, Adam M, Carmichael, Owen, Chakravarty, M Mallar, Chauhan, Ganesh, Chen, Qiang, Ching, Christopher RK, Cuellar-Partida, Gabriel, Braber, Anouk Den, Doan, Nhat Trung, Ehrlich, Stefan, Filippi, Irina, Ge, Tian, Giddaluru, Sudheer, Goldman, Aaron L, Gottesman, Rebecca F, Greven, Corina U, Grimm, Oliver, Griswold, Michael E, Guadalupe, Tulio, Hass, Johanna, Haukvik, Unn K, Hilal, Saima, Hofer, Edith, Hoehn, David, Holmes, Avram J, Hoogman, Martine, Janowitz, Deborah, Jia, Tianye, Kasperaviciute, Dalia, Kim, Sungeun, Klein, Marieke, Kraemer, Bernd, Lee, Phil H, Liao, Jiemin, Liewald, David CM, Lopez, Lorna M, Luciano, Michelle, Macare, Christine, Marquand, Andre, Matarin, Mar, Mather, Karen A, Mattheisen, Manuel, Mazoyer, Bernard, McKay, David R, McWhirter, Rebekah, Milaneschi, Yuri, Mirza-Schreiber, Nazanin, Muetzel, Ryan L, Maniega, Susana Muñoz, Nho, Kwangsik, Nugent, Allison C, Loohuis, Loes M Olde, Oosterlaan, Jaap, Papmeyer, Martina, Pappa, Irene, Pirpamer, Lukas, Pudas, Sara, Pütz, Benno, Rajan, Kumar B, Ramasamy, Adaikalavan, Richards, Jennifer S, Risacher, Shannon L, Roiz-Santiañez, Roberto, Rommelse, Nanda, Rose, Emma J, Royle, Natalie A, Rundek, Tatjana, Sämann, Philipp G, and Satizabal, Claudia L

Subjects
Biological Psychology, Biomedical and Clinical Sciences, Neurosciences, Psychology, Human Genome, Neurodegenerative, Prevention, Genetics, Biotechnology, Clinical Research, Brain Disorders, Aging, 2.1 Biological and endogenous factors, Brain, Cognition, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Oncogene Protein v-akt, Parkinson Disease, Phenotype, Phosphatidylinositol 3-Kinases, Polymorphism, Single Nucleotide, White People, Cognitive Sciences, Neurology & Neurosurgery, Biological psychology
Abstract

Intracranial volume reflects the maximally attained brain size during development, and remains stable with loss of tissue in late life. It is highly heritable, but the underlying genes remain largely undetermined. In a genome-wide association study of 32,438 adults, we discovered five previously unknown loci for intracranial volume and confirmed two known signals. Four of the loci were also associated with adult human stature, but these remained associated with intracranial volume after adjusting for height. We found a high genetic correlation with child head circumference (ρgenetic = 0.748), which indicates a similar genetic background and allowed us to identify four additional loci through meta-analysis (Ncombined = 37,345). Variants for intracranial volume were also related to childhood and adult cognitive function, and Parkinson's disease, and were enriched near genes involved in growth pathways, including PI3K-AKT signaling. These findings identify the biological underpinnings of intracranial volume and their link to physiological and pathological traits.

Published
2016

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