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.
Abstract
Abstract
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.
Funder
NIMH
National Institute of Mental Health
National Institutes of Health
Publisher
Springer Science and Business Media LLC
Subject
Cognitive Neuroscience,Neurology (clinical),Pathology and Forensic Medicine,Pediatrics, Perinatology and Child Health
Cited by
1 articles.
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