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Deep phenotypic analysis of psychiatric features in genetically defined cohorts: application to XYY syndrome
BACKGROUND: Recurrent gene dosage disorders impart substantial risk for psychopathology. Yet, understanding that risk is hampered by complex presentations that challenge classical diagnostic systems. Here, we present a suite of generalizable analytic approaches for parsing this clinical complexity,...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9940341/ https://www.ncbi.nlm.nih.gov/pubmed/36803654 http://dx.doi.org/10.1186/s11689-023-09476-y |
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author | Raznahan, Armin Rau, Srishti Schaffer, Luke Liu, Siyuan Fish, Ari M. Mankiw, Catherine Xenophontos, Anastasia Clasen, Liv S. Joseph, Lisa Thurm, Audrey Blumenthal, Jonathan D. Bassett, Dani S. Torres, Erin N. |
author_facet | Raznahan, Armin Rau, Srishti Schaffer, Luke Liu, Siyuan Fish, Ari M. Mankiw, Catherine Xenophontos, Anastasia Clasen, Liv S. Joseph, Lisa Thurm, Audrey Blumenthal, Jonathan D. Bassett, Dani S. Torres, Erin N. |
author_sort | Raznahan, Armin |
collection | PubMed |
description | BACKGROUND: Recurrent gene dosage disorders impart substantial risk for psychopathology. Yet, understanding that risk is hampered by complex presentations that challenge classical diagnostic systems. Here, we present a suite of generalizable analytic approaches for parsing this clinical complexity, which we illustrate through application to XYY syndrome. METHOD: We gathered high-dimensional measures of psychopathology in 64 XYY individuals and 60 XY controls, plus additional interviewer-based diagnostic data in the XYY group. We provide the first comprehensive diagnostic description of psychiatric morbidity in XYY syndrome and show how diagnostic morbidity relates to functioning, subthreshold symptoms, and ascertainment bias. We then map behavioral vulnerabilities and resilience across 67 behavioral dimensions before borrowing techniques from network science to resolve the mesoscale architecture of these dimensions and links to observable functional outcomes. RESULTS: Carriage of an extra Y-chromosome increases risk for diverse psychiatric diagnoses, with clinically impactful subthreshold symptomatology. Highest rates are seen for neurodevelopmental and affective disorders. A lower bound of < 25% of carriers are free of any diagnosis. Dimensional analysis of 67 scales details the profile of psychopathology in XYY, which survives control for ascertainment bias, specifies attentional and social domains as the most impacted, and refutes stigmatizing historical associations between XYY and violence. Network modeling compresses all measured symptom scales into 8 modules with dissociable links to cognitive ability, adaptive function, and caregiver strain. Hub modules offer efficient proxies for the full symptom network. CONCLUSIONS: This study parses the complex behavioral phenotype of XYY syndrome by applying new and generalizable analytic approaches for analysis of deep-phenotypic psychiatric data in neurogenetic disorders. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s11689-023-09476-y. |
format | Online Article Text |
id | pubmed-9940341 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-99403412023-02-21 Deep phenotypic analysis of psychiatric features in genetically defined cohorts: application to XYY syndrome Raznahan, Armin Rau, Srishti Schaffer, Luke Liu, Siyuan Fish, Ari M. Mankiw, Catherine Xenophontos, Anastasia Clasen, Liv S. Joseph, Lisa Thurm, Audrey Blumenthal, Jonathan D. Bassett, Dani S. Torres, Erin N. J Neurodev Disord Research BACKGROUND: Recurrent gene dosage disorders impart substantial risk for psychopathology. Yet, understanding that risk is hampered by complex presentations that challenge classical diagnostic systems. Here, we present a suite of generalizable analytic approaches for parsing this clinical complexity, which we illustrate through application to XYY syndrome. METHOD: We gathered high-dimensional measures of psychopathology in 64 XYY individuals and 60 XY controls, plus additional interviewer-based diagnostic data in the XYY group. We provide the first comprehensive diagnostic description of psychiatric morbidity in XYY syndrome and show how diagnostic morbidity relates to functioning, subthreshold symptoms, and ascertainment bias. We then map behavioral vulnerabilities and resilience across 67 behavioral dimensions before borrowing techniques from network science to resolve the mesoscale architecture of these dimensions and links to observable functional outcomes. RESULTS: Carriage of an extra Y-chromosome increases risk for diverse psychiatric diagnoses, with clinically impactful subthreshold symptomatology. Highest rates are seen for neurodevelopmental and affective disorders. A lower bound of < 25% of carriers are free of any diagnosis. Dimensional analysis of 67 scales details the profile of psychopathology in XYY, which survives control for ascertainment bias, specifies attentional and social domains as the most impacted, and refutes stigmatizing historical associations between XYY and violence. Network modeling compresses all measured symptom scales into 8 modules with dissociable links to cognitive ability, adaptive function, and caregiver strain. Hub modules offer efficient proxies for the full symptom network. CONCLUSIONS: This study parses the complex behavioral phenotype of XYY syndrome by applying new and generalizable analytic approaches for analysis of deep-phenotypic psychiatric data in neurogenetic disorders. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s11689-023-09476-y. BioMed Central 2023-02-20 /pmc/articles/PMC9940341/ /pubmed/36803654 http://dx.doi.org/10.1186/s11689-023-09476-y Text en © This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Raznahan, Armin Rau, Srishti Schaffer, Luke Liu, Siyuan Fish, Ari M. Mankiw, Catherine Xenophontos, Anastasia Clasen, Liv S. Joseph, Lisa Thurm, Audrey Blumenthal, Jonathan D. Bassett, Dani S. Torres, Erin N. Deep phenotypic analysis of psychiatric features in genetically defined cohorts: application to XYY syndrome |
title | Deep phenotypic analysis of psychiatric features in genetically defined cohorts: application to XYY syndrome |
title_full | Deep phenotypic analysis of psychiatric features in genetically defined cohorts: application to XYY syndrome |
title_fullStr | Deep phenotypic analysis of psychiatric features in genetically defined cohorts: application to XYY syndrome |
title_full_unstemmed | Deep phenotypic analysis of psychiatric features in genetically defined cohorts: application to XYY syndrome |
title_short | Deep phenotypic analysis of psychiatric features in genetically defined cohorts: application to XYY syndrome |
title_sort | deep phenotypic analysis of psychiatric features in genetically defined cohorts: application to xyy syndrome |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9940341/ https://www.ncbi.nlm.nih.gov/pubmed/36803654 http://dx.doi.org/10.1186/s11689-023-09476-y |
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