Evidence map›Paper›PMID 40568669›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Novel tools for comparing the architecture of psychopathology between neurogenetic disorders: An application to X- vs. Y-chromosome aneuploidy effects in males.

Isabella G Larsen, Siyuan Liu, Lukas Schaffer, Srishti Rau, Tiffany Ajumobi, Bridget W Mahony, Allysa Warling, Ethan T Whitman, Ajay Nadig, Cassidy McDermott and 7 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Isabella G LarsenSection on Developmental Neurogenomics, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, United States.ORCID 0000-0001-8520-5539
Siyuan LiuSection on Developmental Neurogenomics, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, United States.
Lukas SchafferInstitute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, United States.
Srishti RauCenter for Autism Spectrum Disorders, Children's National Hospital, Washington D.C., United States.
Tiffany AjumobiSchool of Medicine, The Johns Hopkins University, Baltimore, MD, United States.
Bridget W MahonyInternational Consulting Associates, Inc, Arlington, VA, United States.
Allysa WarlingHarvard Medical School, Boston, MA, United States.
Ethan T WhitmanDepartment of Psychology & Neuroscience, Duke University, Durham, NC, United States.
Ajay NadigDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, United States.
Cassidy McDermottDepartment of Psychology, University of Pennsylvania, Philadelphia, PA, United States.
Anastasia XenophontosGeorgetown University School of Medicine, Georgetown, Washington, D.C., United States.
Kathleen WilsonDepartment of Psychiatry, University of Michigan, Ann Arbor, MI, United States.
Liv S ClasenSection on Developmental Neurogenomics, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, United States.
Erin N TorresSection on Developmental Neurogenomics, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, United States.
Jonathan D BlumenthalSection on Developmental Neurogenomics, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, United States.
Dani S BassettDepartment of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, United States.ORCID 0000-0002-6183-4493
Armin RaznahanSection on Developmental Neurogenomics, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, United States.

Funding

Section on Developmental NeurogenomicsZIAMH002949 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI RAZNAHAN, ARMIN · 2016 to 2025
$30.0M
Intramural NIH HHS ZIA MH002949
6 · The paper itself

Abstract

Background: Psychiatric symptoms are typically highly inter-correlated at the group level. Collectively, these correlations define the architecture of psychopathology-informing taxonomic and mechanistic models in psychiatry. However, to date, it remains unclear if this architecture differs between etiologically distinct subgroups, despite the core relevance of this understanding for personalized medicine. Here, we introduce a new analytic pipeline to probe group differences in the psychopathology architecture-demonstrated through comparison of two distinct neurogenetic disorders. Methods: We use a large questionnaire battery in 300 individuals aged 5-25 years ( Results: Behavior correlation matrices describe the architecture of psychopathology in each syndrome. Comparison of matrix row averages reveals that autism-related features and externalizing symptoms are most differentially coupled to other aspects of psychopathology in XXY/KS vs. XYY. Clustering the difference between matrices captures coordinated group differences in pairwise coupling between measures of psychopathology: XXY/KS increases coherence among externalizing, internalizing, and autism-related features, while XYY syndrome shows greater coherence in dissociality and early neurodevelopmental impairment. Conclusions: These methods offer new insights into X- and Y-chromosome dosage effects on behavior, and our shared code can now be applied to other clinical groups of interest-helping to hone mechanistic models and inform the tailoring of care.

Indexed as

Behavioral phenotypingGene dosage disordersJacobs syndromeKlinefelter syndromeSex chromosome aneuploidySymptom network analysisXXY/KSXYY

Identifiers

PMID40568669
PMCPMC12191080

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.