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1. Genome-wide association analyses identify 95 risk loci and provide insights into the neurobiology of post-traumatic stress disorder

Author

Nievergelt, Caroline M., Maihofer, Adam X., Atkinson, Elizabeth G., Chen, Chia-Yen, Choi, Karmel W., Coleman, Jonathan R. I., Daskalakis, Nikolaos P., Duncan, Laramie E., Polimanti, Renato, Aaronson, Cindy, Amstadter, Ananda B., Andersen, Soren B., Andreassen, Ole A., Arbisi, Paul A., Ashley-Koch, Allison E., Austin, S. Bryn, Avdibegoviç, Esmina, Babić, Dragan, Bacanu, Silviu-Alin, Baker, Dewleen G., Batzler, Anthony, Beckham, Jean C., Belangero, Sintia, Benjet, Corina, Bergner, Carisa, Bierer, Linda M., Biernacka, Joanna M., Bierut, Laura J., Bisson, Jonathan I., Boks, Marco P., Bolger, Elizabeth A., Brandolino, Amber, Breen, Gerome, Bressan, Rodrigo Affonseca, Bryant, Richard A., Bustamante, Angela C., Bybjerg-Grauholm, Jonas, Bækvad-Hansen, Marie, Børglum, Anders D., Børte, Sigrid, Cahn, Leah, Calabrese, Joseph R., Caldas-de-Almeida, Jose Miguel, Chatzinakos, Chris, Cheema, Sheraz, Clouston, Sean A. P., Colodro-Conde, Lucía, Coombes, Brandon J., Cruz-Fuentes, Carlos S., Dale, Anders M., Dalvie, Shareefa, Davis, Lea K., Deckert, Jürgen, Delahanty, Douglas L., Dennis, Michelle F., Desarnaud, Frank, DiPietro, Christopher P., Disner, Seth G., Docherty, Anna R., Domschke, Katharina, Dyb, Grete, Kulenović, Alma Džubur, Edenberg, Howard J., Evans, Alexandra, Fabbri, Chiara, Fani, Negar, Farrer, Lindsay A., Feder, Adriana, Feeny, Norah C., Flory, Janine D., Forbes, David, Franz, Carol E., Galea, Sandro, Garrett, Melanie E., Gelaye, Bizu, Gelernter, Joel, Geuze, Elbert, Gillespie, Charles F., Goleva, Slavina B., Gordon, Scott D., Goçi, Aferdita, Grasser, Lana Ruvolo, Guindalini, Camila, Haas, Magali, Hagenaars, Saskia, Hauser, Michael A., Heath, Andrew C., Hemmings, Sian M. J., Hesselbrock, Victor, Hickie, Ian B., Hogan, Kelleigh, Hougaard, David Michael, Huang, Hailiang, Huckins, Laura M., Hveem, Kristian, Jakovljević, Miro, Javanbakht, Arash, Jenkins, Gregory D., Johnson, Jessica, Jones, Ian, Jovanovic, Tanja, Karstoft, Karen-Inge, Kaufman, Milissa L., Kennedy, James L., Kessler, Ronald C., Khan, Alaptagin, Kimbrel, Nathan A., King, Anthony P., Koen, Nastassja, Kotov, Roman, Kranzler, Henry R., Krebs, Kristi, Kremen, William S., Kuan, Pei-Fen, Lawford, Bruce R., Lebois, Lauren A. M., Lehto, Kelli, Levey, Daniel F., Lewis, Catrin, Liberzon, Israel, Linnstaedt, Sarah D., Logue, Mark W., Lori, Adriana, Lu, Yi, Luft, Benjamin J., Lupton, Michelle K., Luykx, Jurjen J., Makotkine, Iouri, Maples-Keller, Jessica L., Marchese, Shelby, Marmar, Charles, Martin, Nicholas G., Martínez-Levy, Gabriela A., McAloney, Kerrie, McFarlane, Alexander, McLaughlin, Katie A., McLean, Samuel A., Medland, Sarah E., Mehta, Divya, Meyers, Jacquelyn, Michopoulos, Vasiliki, Mikita, Elizabeth A., Milani, Lili, Milberg, William, Miller, Mark W., Morey, Rajendra A., Morris, Charles Phillip, Mors, Ole, Mortensen, Preben Bo, Mufford, Mary S., Nelson, Elliot C., Nordentoft, Merete, Norman, Sonya B., Nugent, Nicole R., O’Donnell, Meaghan, Orcutt, Holly K., Pan, Pedro M., Panizzon, Matthew S., Pathak, Gita A., Peters, Edward S., Peterson, Alan L., Peverill, Matthew, Pietrzak, Robert H., Polusny, Melissa A., Porjesz, Bernice, Powers, Abigail, Qin, Xue-Jun, Ratanatharathorn, Andrew, Risbrough, Victoria B., Roberts, Andrea L., Rothbaum, Alex O., Rothbaum, Barbara O., Roy-Byrne, Peter, Ruggiero, Kenneth J., Rung, Ariane, Runz, Heiko, Rutten, Bart P. F., de Viteri, Stacey Saenz, Salum, Giovanni Abrahão, Sampson, Laura, Sanchez, Sixto E., Santoro, Marcos, Seah, Carina, Seedat, Soraya, Seng, Julia S., Shabalin, Andrey, Sheerin, Christina M., Silove, Derrick, Smith, Alicia K., Smoller, Jordan W., Sponheim, Scott R., Stein, Dan J., Stensland, Synne, Stevens, Jennifer S., Sumner, Jennifer A., Teicher, Martin H., Thompson, Wesley K., Tiwari, Arun K., Trapido, Edward, Uddin, Monica, Ursano, Robert J., Valdimarsdóttir, Unnur, Van Hooff, Miranda, Vermetten, Eric, Vinkers, Christiaan H., Voisey, Joanne, Wang, Yunpeng, Wang, Zhewu, Waszczuk, Monika, Weber, Heike, Wendt, Frank R., Werge, Thomas, Williams, Michelle A., Williamson, Douglas E., Winsvold, Bendik S., Winternitz, Sherry, Wolf, Christiane, Wolf, Erika J., Xia, Yan, Xiong, Ying, Yehuda, Rachel, Young, Keith A., Young, Ross McD, Zai, Clement C., Zai, Gwyneth C., Zervas, Mark, Zhao, Hongyu, Zoellner, Lori A., Zwart, John-Anker, deRoon-Cassini, Terri, van Rooij, Sanne J. H., van den Heuvel, Leigh L., Stein, Murray B., Ressler, Kerry J., and Koenen, Karestan C.

Published
2024
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4. Diversity and the Hierarchical Taxonomy of Psychopathology (HiTOP)

Author

Rodriguez-Seijas, Craig, Li, James J., Balling, Caroline, Brandes, Cassandra, Bernat, Edward, Boness, Cassandra L., Forbes, Miriam K., Forbush, Kelsie T., Joyner, Keanan J., Krueger, Robert F., Levin-Aspenson, Holly F., Michelini, Giorgia, Ro, Eunyoe, Rutter, Lauren, Stanton, Kasey, Tackett, Jennifer L., Waszczuk, Monika, and Eaton, Nicholas R.

Published
2023
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8. Anxiety sensitivity and Pain Experience: a prospective investigation among World Trade Center Responders

Author

Rogers, Andrew H., Zvolensky, Michael J., Vujanovic, Anka A., Ruggero, Camilo J., Oltmanns, Joshua, Waszczuk, Monika A., and Luft, Benjamin J.

Subjects
Chronic pain -- Risk factors -- Demographic aspects -- Development and progression, First responders -- Psychological aspects -- Health aspects, Anxiety -- Complications and side effects -- Demographic aspects, Stress (Psychology) -- Health aspects -- Demographic aspects, Psychology and mental health
Abstract

Chronic pain is a significant public health problem and is exacerbated by stress. The World Trade Center (WTC) Disaster represents a unique stressor, and responders to the WTC disaster are at increased risk for pain and other health complaints. Therefore, there is a significant need to identify vulnerability factors for exacerbated pain experience among this high-risk population. Anxiety sensitivity (AS), defined as fear of anxiety-related sensations, is one such vulnerability factor associated with pain intensity and disability. Yet, no work has tested the predictive effects of AS on pain, limiting conclusions regarding the predictive utility and direction of associations. Therefore, the current study examined the prospective associations of AS, pain intensity, and pain interference among 452 (M.sub.age = 55.22, SD = 8.73, 89.4% male) responders to the WTC disaster completing a 2-week daily diary study. Using multi-level modeling, AS total score was positively associated with both pain intensity and pain interference, and that AS cognitive concerns, but not social or physical concerns, were associated with increased pain. These results highlight the importance of AS as a predictor of pain complaints among WTC responders and provide initial empirical evidence to support AS as a clinical target for treating pain complaints among WTC responders., Author(s): Andrew H. Rogers [sup.1] , Michael J. Zvolensky [sup.1] [sup.2] [sup.3] , Anka A. Vujanovic [sup.1] , Camilo J. Ruggero [sup.4] , Joshua Oltmanns [sup.5] , Monika A. Waszczuk [...]

Published
2022
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9. Commentary on "The Challenge of Transforming the Diagnostic System of Personality Disorders".

Author

Hopwood, Christopher J, Krueger, Robert F, Watson, David, Widiger, Thomas A, Althoff, Robert R, Ansell, Emily B, Bach, Bo, Bagby, R Michael, Blais, Mark A, Bornovalova, Marina A, Chmielewski, Michael, Cicero, David C, Conway, Christopher, De Clerq, Barbara, De Fruyt, Filip, Docherty, Anna R, Eaton, Nicholas R, Edens, John F, Forbes, Miriam K, Forbush, Kelsie T, Hengartner, Michael P, Ivanova, Masha Y, Leising, Daniel, Lukowitsky, Mark R, Lynam, Donald R, Markon, Kristian E, Miller, Joshua D, Morey, Leslie C, Mullins-Sweatt, Stephanie N, Ormel, Johan, Patrick, Christopher J, Pincus, Aaron L, Ruggero, Camilo, Samuel, Douglas B, Sellbom, Martin, Tackett, Jennifer L, Thomas, Katherine M, Trull, Timothy J, Vachon, David D, Waldman, Irwin D, Waszczuk, Monika A, Waugh, Mark H, Wright, Aidan GC, Yalch, Mathew M, Zald, David H, and Zimmermann, Johannes

Subjects
Psychology, Clinical and Health Psychology, Social and Personality Psychology, Applied and Developmental Psychology, Psychiatry, Applied and developmental psychology, Clinical and health psychology, Social and personality psychology
Published
2020

10. Redefining Phenotypes to Advance Psychiatric Genetics: Implications From Hierarchical Taxonomy of Psychopathology

Author

Waszczuk, Monika A, Eaton, Nicholas R, Krueger, Robert F, Shackman, Alexander J, Waldman, Irwin D, Zald, David H, Lahey, Benjamin B, Patrick, Christopher J, Conway, Christopher C, Ormel, Johan, Hyman, Steven E, Fried, Eiko I, Forbes, Miriam K, Docherty, Anna R, Althoff, Robert R, Bach, Bo, Chmielewski, Michael, DeYoung, Colin G, Forbush, Kelsie T, Hallquist, Michael, Hopwood, Christopher J, Ivanova, Masha Y, Jonas, Katherine G, Latzman, Robert D, Markon, Kristian E, Mullins-Sweatt, Stephanie N, Pincus, Aaron L, Reininghaus, Ulrich, South, Susan C, Tackett, Jennifer L, Watson, David, Wright, Aidan GC, and Kotov, Roman

Subjects
Biotechnology, Genetics, Human Genome, Brain Disorders, Mental Health, Genetic Testing, Aetiology, 2.1 Biological and endogenous factors, Mental health, Good Health and Well Being, Humans, Mental Disorders, Phenotype, Psychiatry, Psychology, Clinical, behavior genetics, comorbidity, general factor, molecular genetics, nosology
Abstract

Genetic discovery in psychiatry and clinical psychology is hindered by suboptimal phenotypic definitions. We argue that the hierarchical, dimensional, and data-driven classification system proposed by the Hierarchical Taxonomy of Psychopathology (HiTOP) consortium provides a more effective approach to identifying genes that underlie mental disorders, and to studying psychiatric etiology, than current diagnostic categories. Specifically, genes are expected to operate at different levels of the HiTOP hierarchy, with some highly pleiotropic genes influencing higher order psychopathology (e.g., the general factor), whereas other genes conferring more specific risk for individual spectra (e.g., internalizing), subfactors (e.g., fear disorders), or narrow symptoms (e.g., mood instability). We propose that the HiTOP model aligns well with the current understanding of the higher order genetic structure of psychopathology that has emerged from a large body of family and twin studies. We also discuss the convergence between the HiTOP model and findings from recent molecular studies of psychopathology indicating broad genetic pleiotropy, such as cross-disorder SNP-based shared genetic covariance and polygenic risk scores, and we highlight molecular genetic studies that have successfully redefined phenotypes to enhance precision and statistical power. Finally, we suggest how to integrate a HiTOP approach into future molecular genetic research, including quantitative and hierarchical assessment tools for future data-collection and recommendations concerning phenotypic analyses. (PsycINFO Database Record (c) 2020 APA, all rights reserved).

Published
2020

11. Integrating the Hierarchical Taxonomy of Psychopathology (HiTOP) Into Clinical Practice

Author

Ruggero, Camilo J, Kotov, Roman, Hopwood, Christopher J, First, Michael, Clark, Lee Anna, Skodol, Andrew E, Mullins-Sweatt, Stephanie N, Patrick, Christopher J, Bach, Bo, Cicero, David C, Docherty, Anna, Simms, Leonard J, Bagby, R Michael, Krueger, Robert F, Callahan, Jennifer L, Chmielewski, Michael, Conway, Christopher C, De Clercq, Barbara, Dornbach-Bender, Allison, Eaton, Nicholas R, Forbes, Miriam K, Forbush, Kelsie T, Haltigan, John D, Miller, Joshua D, Morey, Leslie C, Patalay, Praveetha, Regier, Darrel A, Reininghaus, Ulrich, Shackman, Alexander J, Waszczuk, Monika A, Watson, David, Wright, Aidan GC, and Zimmermann, Johannes

Subjects
Health Services, Mental Health, Clinical Research, Brain Disorders, Good Health and Well Being, Adolescent, Adult, Humans, Mental Disorders, Models, Theoretical, Psychopathology, classification, diagnosis, nosology, psychopathology, treatment, Psychology, Clinical Psychology
Abstract

ObjectiveDiagnosis is a cornerstone of clinical practice for mental health care providers, yet traditional diagnostic systems have well-known shortcomings, including inadequate reliability, high comorbidity, and marked within-diagnosis heterogeneity. The Hierarchical Taxonomy of Psychopathology (HiTOP) is a data-driven, hierarchically based alternative to traditional classifications that conceptualizes psychopathology as a set of dimensions organized into increasingly broad, transdiagnostic spectra. Prior work has shown that using a dimensional approach improves reliability and validity, but translating a model like HiTOP into a workable system that is useful for health care providers remains a major challenge.MethodThe present work outlines the HiTOP model and describes the core principles to guide its integration into clinical practice.ResultsPotential advantages and limitations of the HiTOP model for clinical utility are reviewed, including with respect to case conceptualization and treatment planning. A HiTOP approach to practice is illustrated and contrasted with an approach based on traditional nosology. Common barriers to using HiTOP in real-world health care settings and solutions to these barriers are discussed.ConclusionsHiTOP represents a viable alternative to classifying mental illness that can be integrated into practice today, although research is needed to further establish its utility. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Published
2019

13. A Hierarchical Taxonomy of Psychopathology Can Transform Mental Health Research

Author

Conway, Christopher C, Forbes, Miriam K, Forbush, Kelsie T, Fried, Eiko I, Hallquist, Michael N, Kotov, Roman, Mullins-Sweatt, Stephanie N, Shackman, Alexander J, Skodol, Andrew E, South, Susan C, Sunderland, Matthew, Waszczuk, Monika A, Zald, David H, Afzali, Mohammad H, Bornovalova, Marina A, Carragher, Natacha, Docherty, Anna R, Jonas, Katherine G, Krueger, Robert F, Patalay, Praveetha, Pincus, Aaron L, Tackett, Jennifer L, Reininghaus, Ulrich, Waldman, Irwin D, Wright, Aidan GC, Zimmermann, Johannes, Bach, Bo, Bagby, R Michael, Chmielewski, Michael, Cicero, David C, Clark, Lee Anna, Dalgleish, Tim, DeYoung, Colin G, Hopwood, Christopher J, Ivanova, Masha Y, Latzman, Robert D, Patrick, Christopher J, Ruggero, Camilo J, Samuel, Douglas B, Watson, David, and Eaton, Nicholas R

Subjects
Psychology, Social and Personality Psychology, Applied and Developmental Psychology, Mental Health, Brain Disorders, Behavioral and Social Science, Mental health, Good Health and Well Being, Heuristics, Humans, Mental Disorders, Models, Theoretical, Research Design, Terminology as Topic, mental illness, nosology, individual differences, transdiagnostic, Hierarchical Taxonomy of Psychopathology, HiTOP, ICD, DSM, RDoC, Cognitive Sciences, Social Psychology
Abstract

For more than a century, research on psychopathology has focused on categorical diagnoses. Although this work has produced major discoveries, growing evidence points to the superiority of a dimensional approach to the science of mental illness. Here we outline one such dimensional system-the Hierarchical Taxonomy of Psychopathology (HiTOP)-that is based on empirical patterns of co-occurrence among psychological symptoms. We highlight key ways in which this framework can advance mental-health research, and we provide some heuristics for using HiTOP to test theories of psychopathology. We then review emerging evidence that supports the value of a hierarchical, dimensional model of mental illness across diverse research areas in psychological science. These new data suggest that the HiTOP system has the potential to accelerate and improve research on mental-health problems as well as efforts to more effectively assess, prevent, and treat mental illness.

Published
2019

14. Commentary on "The Challenge of Transforming the Diagnostic System of Personality Disorders".

Author

Hopwood, Christopher J, Krueger, Robert F, Watson, David, Widiger, Thomas A, Althoff, Robert R, Ansell, Emily B, Bach, Bo, Bagby, R Michael, Blais, Mark A, Bornovalova, Marina A, Chmielewski, Michael, Cicero, David C, Conway, Christopher, De Clerq, Barbara, De Fruyt, Filip, Docherty, Anna R, Eaton, Nicholas R, Edens, John F, Forbes, Miriam K, Forbush, Kelsie T, Hengartner, Michael P, Ivanova, Masha Y, Leising, Daniel, Lukowitsky, Mark R, Lynam, Donald R, Markon, Kristian E, Miller, Joshua D, Morey, Leslie C, Mullins-Sweatt, Stephanie N, Ormel, Johan, Patrick, Christopher J, Pincus, Aaron L, Ruggero, Camilo, Samuel, Douglas B, Sellbom, Martin, Tackett, Jennifer L, Thomas, Katherine M, Trull, Timothy J, Vachon, David D, Waldman, Irwin D, Waszczuk, Monika A, Waugh, Mark H, Wright, Aidan GC, Yalch, Mathew M, Zald, David H, and Zimmermann, Johannes

Subjects
Psychology, Psychiatry
Published
2019

17. Enhancing Psychosis-Spectrum Nosology Through an International Data Sharing Initiative.

Author

Docherty, Anna R, Fonseca-Pedrero, Eduardo, Debbané, Martin, Chan, Raymond CK, Linscott, Richard J, Jonas, Katherine G, Cicero, David C, Green, Melissa J, Simms, Leonard J, Mason, Oliver, Watson, David, Ettinger, Ulrich, Waszczuk, Monika, Rapp, Alexander, Grant, Phillip, Kotov, Roman, DeYoung, Colin G, Ruggero, Camilo J, Eaton, Nicolas R, Krueger, Robert F, Patrick, Christopher, Hopwood, Christopher, O’Neill, F Anthony, Zald, David H, Conway, Christopher C, Adkins, Daniel E, Waldman, Irwin D, van Os, Jim, Sullivan, Patrick F, Anderson, John S, Shabalin, Andrey A, Sponheim, Scott R, Taylor, Stephan F, Grazioplene, Rachel G, Bacanu, Silviu A, Bigdeli, Tim B, Haenschel, Corinna, Malaspina, Dolores, Gooding, Diane C, Nicodemus, Kristin, Schultze-Lutter, Frauke, Barrantes-Vidal, Neus, Mohr, Christine, Carpenter, William T, and Cohen, Alex S

Subjects
Brain Disorders, Human Genome, Genetics, Mental Health, Good Health and Well Being, Datasets as Topic, Humans, Information Dissemination, Intersectoral Collaboration, Models, Theoretical, Psychotic Disorders, Schizophrenia, Schizotypal Personality Disorder, data sharing, schizotypy, schizotypal, psychos is, schizophrenia, phenotype, genetic, ICSR, HiTOP, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry
Abstract

The latent structure of schizotypy and psychosis-spectrum symptoms remains poorly understood. Furthermore, molecular genetic substrates are poorly defined, largely due to the substantial resources required to collect rich phenotypic data across diverse populations. Sample sizes of phenotypic studies are often insufficient for advanced structural equation modeling approaches. In the last 50 years, efforts in both psychiatry and psychological science have moved toward (1) a dimensional model of psychopathology (eg, the current Hierarchical Taxonomy of Psychopathology [HiTOP] initiative), (2) an integration of methods and measures across traits and units of analysis (eg, the RDoC initiative), and (3) powerful, impactful study designs maximizing sample size to detect subtle genomic variation relating to complex traits (the Psychiatric Genomics Consortium [PGC]). These movements are important to the future study of the psychosis spectrum, and to resolving heterogeneity with respect to instrument and population. The International Consortium of Schizotypy Research is composed of over 40 laboratories in 12 countries, and to date, members have compiled a body of schizotypy- and psychosis-related phenotype data from more than 30000 individuals. It has become apparent that compiling data into a protected, relational database and crowdsourcing analytic and data science expertise will result in significant enhancement of current research on the structure and biological substrates of the psychosis spectrum. The authors present a data-sharing infrastructure similar to that of the PGC, and a resource-sharing infrastructure similar to that of HiTOP. This report details the rationale and benefits of the phenotypic data collective and presents an open invitation for participation.

Published
2018

18. The time has come for dimensional personality disorder diagnosis

Author

Hopwood, Christopher J, Kotov, Roman, Krueger, Robert F, Watson, David, Widiger, Thomas A, Althoff, Robert R, Ansell, Emily B, Bach, Bo, Bagby, R Michael, Blais, Mark A, Bornovalova, Marina A, Chmielewski, Michael, Cicero, David C, Conway, Christopher, De Clercq, Barbara, De Fruyt, Filip, Docherty, Anna R, Eaton, Nicholas R, Edens, John F, Forbes, Miriam K, Forbush, Kelsie T, Hengartner, Michael P, Ivanova, Masha Y, Leising, Daniel, Livesley, W John, Lukowitsky, Mark R, Lynam, Donald R, Markon, Kristian E, Miller, Joshua D, Morey, Leslie C, Mullins‐Sweatt, Stephanie N, Ormel, J Hans, Patrick, Christopher J, Pincus, Aaron L, Ruggero, Camilo, Samuel, Douglas B, Sellbom, Martin, Slade, Tim, Tackett, Jennifer L, Thomas, Katherine M, Trull, Timothy J, Vachon, David D, Waldman, Irwin D, Waszczuk, Monika A, Waugh, Mark H, Wright, Aidan GC, Yalch, Mathew M, Zald, David H, and Zimmermann, Johannes

Subjects
Biomedical and Clinical Sciences, Clinical and Health Psychology, Social and Personality Psychology, Clinical Sciences, Psychology, Humans, International Classification of Diseases, Personality Disorders, Public Health and Health Services, Clinical sciences, Clinical and health psychology, Social and personality psychology
Published
2018

24. Les progrès dans la réalisation de la classification quantitative de la psychopathologie

Author

Krueger, Robert F., Kotov, Roman, Watson, David, Forbes, Miriam K., Eaton, Nicholas R., Ruggero, Camilo J., Simms, Leonard J., Widiger, Thomas A., Achenbach, Thomas M., Bach, Bo, Bagby, R. Michael, Bornovalova, Marina A., Carpenter, William T., Chmielewski, Michael, Cicero, David C., Clark, Lee Anna, Conway, Christopher, DeClercq, Barbara, DeYoung, Colin G., Docherty, Anna R., Drislane, Laura E., First, Michael B., Forbush, Kelsie T., Hallquist, Michael, Haltigan, John D., Hopwood, Christopher J., Ivanova, Masha Y., Jonas, Katherine G., Latzman, Robert D., Markon, Kristian E., Miller, Joshua D., Morey, Leslie C., Mullins-Sweatt, Stephanie N., Ormel, Johan, Patalay, Praveetha, Patrick, Christopher J., Pincus, Aaron L., Regier, Darrel A., Reininghaus, Ulrich, Rescorla, Leslie A., Samuel, Douglas B., Sellbom, Martin, Shackman, Alexander J., Skodol, Andrew, Slade, Tim, South, Susan C., Sunderland, Matthew, Tackett, Jennifer L., Venables, Noah C., Waldman, Irwin D., Waszczuk, Monika A., Waugh, Mark H., Wright, Aidan G.C., Zald, David H., and Zimmermann, Johannes

Published
2021
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25. Why do depression and anxiety symptoms co-occur across development? : the role of genes, environments and cognition

Author

Waszczuk, Monika Aldona, Zavos, Helena, and Eley, Thalia Catherine

Subjects
153
Abstract

Depression and anxiety commonly co-occur and have been associated with cognitive biases and executive function deficits across development. Twin studies indicate considerable genetic overlap between internalizing symptoms and cognitive processes. However, relatively little is known about how genetic, environmental and cognitive processes contribute to the co-occurrence of depression and anxiety symptoms over time. Twin modelling analyses were conducted using three longitudinal population-based twin samples – ECHO, G1219 and TEDS. The first half of this thesis focused on developmental associations between depression and four different anxiety symptom clusters. First, the phenotypic and genetic structure of symptoms was examined cross-sectionally in childhood, adolescence and young adulthood. Developmental differences in the aetiology of the relationship between depression and anxiety were found, with genetic influences becoming less disorder-specific from adolescence. Next, longitudinal analyses found that both stable and newly emerging genes, and to a lesser extent non-shared environmental effects, contributed to the co-occurrence of depression and anxiety across adolescence and young adulthood. The second half of this thesis focused on cognitive processes involved in the aetiology and maintenance of depression and anxiety. First, associations between anxiety sensitivity dimensions and depression and anxiety symptoms were investigated. Results identified disorder-specific versus shared cognitive content in depression and anxiety that was generally unchanged across development and was underpinned by broad genetic vulnerability. Second, association between mindfulness, anxiety sensitivity and depression was investigated. Mindfulness was found to be moderately heritable and the relationship between attentional control aspect of mindfulness, depression and anxiety sensitivity was largely due to shared genetic liability. Finally, using an experimental study conducted in sixty-one 8-10 years old children, depression and anxiety were found to be independently associated with poorer attentional control. This attentional deficit may account for some of the attentional biases often observed in anxious and depressed children on tasks investigating processing of emotional stimuli.

Published
2016

38. The Role of Personality in the Mental and Physical Health of World Trade Center Responders: Self-Reports Versus Informant-Reports

Author

Oltmanns, Joshua R., Ruggero, Camilo, Miao, Jiaju, Waszczuk, Monika, Yang, Yuanyuan, Clouston, Sean A. P., Bromet, Evelyn J., Luft, Benjamin J., and Kotov, Roman

Abstract

Personality is linked to important health outcomes, but most prior studies have relied on self-reports, making it possible that shared-method variance explains the associations. In the present study, we examined self-reports versus informant-reports of personality and multimethod outcomes. World Trade Center (WTC) responders and informants, 283 pairs, completed five-factor model personality measures and multimethod assessments of stressful events, functioning, mental disorders, 9/11-related treatment costs, body mass index (BMI), and daily activity across 3 years. Self-reports were uniquely related to stressful events and functioning. Both self-reports and informant-reports showed incremental validity over one another for mental disorder diagnoses and treatment costs. For objective outcomes daily activity and BMI, informant-reports showed incremental validity over self-reports, accounting for all self-report variance and more. The findings suggest that informant-reports of personality provide better validity for objective health outcomes, which has implications for understanding personality and its role in mental and physical health.

Published
2023
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44. The Hierarchical Taxonomy of Psychopathology (HiTOP) in psychiatric practice and research

Author

Kotov, Roman, primary, Cicero, David C., additional, Conway, Christopher C., additional, DeYoung, Colin G., additional, Dombrovski, Alexandre, additional, Eaton, Nicholas R., additional, First, Michael B., additional, Forbes, Miriam K., additional, Hyman, Steven E., additional, Jonas, Katherine G., additional, Krueger, Robert F., additional, Latzman, Robert D., additional, Li, James J., additional, Nelson, Brady D., additional, Regier, Darrel A., additional, Rodriguez-Seijas, Craig, additional, Ruggero, Camilo J., additional, Simms, Leonard J., additional, Skodol, Andrew E., additional, Waldman, Irwin D., additional, Waszczuk, Monika A., additional, Watson, David, additional, Widiger, Thomas A., additional, Wilson, Sylia, additional, and Wright, Aidan G. C., additional

Published
2022
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45. General v. specific vulnerabilities: polygenic risk scores and higher-order psychopathology dimensions in the Adolescent Brain Cognitive Development (ABCD) Study.

Author

Waszczuk, Monika A., Miao, Jiaju, Docherty, Anna R., Shabalin, Andrey A., Jonas, Katherine G., Michelini, Giorgia, and Kotov, Roman

Subjects
*PSYCHOLOGICAL vulnerability, *COGNITION, *REGRESSION analysis, *POST-traumatic stress disorder, *RISK assessment, *NEURAL development, *PATHOLOGICAL psychology, *MENTAL depression, *RESEARCH funding, *SOMATOFORM disorders, *CHILDREN, *ADOLESCENCE
Abstract

Background: Polygenic risk scores (PRSs) capture genetic vulnerability to psychiatric conditions. However, PRSs are often associated with multiple mental health problems in children, complicating their use in research and clinical practice. The current study is the first to systematically test which PRSs associate broadly with all forms of childhood psychopathology, and which PRSs are more specific to one or a handful of forms of psychopathology. Methods: The sample consisted of 4717 unrelated children (mean age = 9.92, s.d. = 0.62; 47.1% female; all European ancestry). Psychopathology was conceptualized hierarchically as empirically derived general factor (p -factor) and five specific factors: externalizing, internalizing, neurodevelopmental, somatoform, and detachment. Partial correlations explored associations between psychopathology factors and 22 psychopathology-related PRSs. Regressions tested which level of the psychopathology hierarchy was most strongly associated with each PRS. Results: Thirteen PRSs were significantly associated with the general factor, most prominently Chronic Multisite Pain-PRS (r = 0.098), ADHD-PRS (r = 0.079), and Depression-PRS (r = 0.078). After adjusting for the general factor, Depression-PRS, Neuroticism-PRS, PTSD-PRS, Insomnia-PRS, Chronic Back Pain-PRS, and Autism-PRS were not associated with lower order factors. Conversely, several externalizing PRSs, including Adventurousness-PRS and Disinhibition-PRS, remained associated with the externalizing factor (| r | = 0.040–0.058). The ADHD-PRS remained uniquely associated with the neurodevelopmental factor (r = 062). Conclusions: PRSs developed to predict vulnerability to emotional difficulties and chronic pain generally captured genetic risk for all forms of childhood psychopathology. PRSs developed to predict vulnerability to externalizing difficulties, e.g. disinhibition, tended to be more specific in predicting behavioral problems. The results may inform translation of existing PRSs to pediatric research and future clinical practice. [ABSTRACT FROM AUTHOR]

Published
2023
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48. Validity and utility of Hierarchical Taxonomy of Psychopathology (HiTOP): III. Emotional dysfunction superspectrum

Author

Watson, David, Levin‐Aspenson, Holly F., Waszczuk, Monika A., Conway, Christopher C., Dalgleish, Tim, Dretsch, Michael N., Eaton, Nicholas R., Forbes, Miriam K., Forbush, Kelsie T., Hobbs, Kelsey A., Michelini, Giorgia, Nelson, Brady D., Sellbom, Martin, Slade, Tim, South, Susan C., Sunderland, Matthew, Waldman, Irwin, Witthöft, Michael, Wright, Aidan G.C., Kotov, Roman, and Krueger, Robert F.

Subjects
Psychiatry and Mental health, Special Articles, Pshychiatric Mental Health
Abstract

The Hierarchical Taxonomy of Psychopathology (HiTOP) is a quantitative nosological system that addresses shortcomings of traditional mental disorder diagnoses, including arbitrary boundaries between psychopathology and normality, frequent disorder co-occurrence, substantial heterogeneity within disorders, and diagnostic unreliability over time and across clinicians. This paper reviews evidence on the validity and utility of the internalizing and somatoform spectra of HiTOP, which together provide support for an emotional dysfunction superspectrum. These spectra are composed of homogeneous symptom and maladaptive trait dimensions currently subsumed within multiple diagnostic classes, including depressive, anxiety, trauma-related, eating, bipolar, and somatic symptom disorders, as well as sexual dysfunction and aspects of personality disorders. Dimensions falling within the emotional dysfunction superspectrum are broadly linked to individual differences in negative affect/neuroticism. Extensive evidence establishes that dimensions falling within the superspectrum share genetic diatheses, environmental risk factors, cognitive and affective difficulties, neural substrates and biomarkers, childhood temperamental antecedents, and treatment response. The structure of these validators mirrors the quantitative structure of the superspectrum, with some correlates more specific to internalizing or somatoform conditions, and others common to both, thereby underlining the hierarchical structure of the domain. Compared to traditional diagnoses, the internalizing and somatoform spectra demonstrated substantially improved utility: greater reliability, larger explanatory and predictive power, and greater clinical applicability. Validated measures are currently available to implement the HiTOP system in practice, which can make diagnostic classification more useful, both in research and in the clinic.

Published
2022

50. sj-docx-1-cpx-10.1177_21677026221132552 – Supplemental material for The Role of Personality in the Mental and Physical Health of World Trade Center Responders: Self-Reports Versus Informant-Reports

Author

Oltmanns, Joshua R., Ruggero, Camilo, Miao, Jiaju, Waszczuk, Monika, Yang, Yuanyuan, Clouston, Sean A. P., Bromet, Evelyn J., Luft, Benjamin J., and Kotov, Roman

Subjects
FOS: Psychology, 170199 Psychology not elsewhere classified
Abstract

Supplemental material, sj-docx-1-cpx-10.1177_21677026221132552 for The Role of Personality in the Mental and Physical Health of World Trade Center Responders: Self-Reports Versus Informant-Reports by Joshua R. Oltmanns, Camilo Ruggero, Jiaju Miao, Monika Waszczuk, Yuanyuan Yang, Sean A. P. Clouston, Evelyn J. Bromet, Benjamin J. Luft and Roman Kotov in Clinical Psychological Science

Published
2022
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