Evidence map›Paper›PMID 35737559›Full record

ArticleJournal of psychopathology and clinical science2022

Age-dependent effects of schizophrenia genetic risk on cortical thickness and cortical surface area: Evaluating evidence for neurodevelopmental and neurodegenerative models of schizophrenia.

Susan S Kuo, David R Roalf, Konasale M Prasad, Christie W Musket, Petra E Rupert, Joel Wood, Ruben C Gur, Laura Almasy, Raquel E Gur, Vishwajit L Nimgaonkar and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of psychopathology and clinical science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 34% of its field
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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. Inventory of Problems-29 (IOP-29) and Inventory of Problems-Memory (IOP-M) failure rates in patients with severe psychosis with and without criminal convictions.Psychiatry, psychology, and law : an interdisciplinary journal of the Australian and New Zealand Association of Psychiatry, Psychology and Law · 2025
    Article
  4. The Risk for Schizophrenia-Bipolar Spectrum: Does the Apple Fall Close to the Tree? A Narrative Review.International journal of environmental research and public health · 2023
    Review
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 1 institution in 1 country.

Susan S KuoStanley Center for Psychiatric Genetics.ORCID 0000-0001-9754-2970
David R RoalfDepartment of Psychiatry.ORCID 0000-0002-1728-9782
Konasale M PrasadDepartment of Psychiatry.
Christie W MusketDepartment of Psychology.
Petra E RupertDepartment of Psychology.ORCID 0000-0003-2749-1770
Joel WoodDepartment of Psychiatry.
Ruben C GurDepartment of Psychiatry.ORCID 0000-0002-9657-1996
Laura AlmasyDepartment of Genetics.ORCID 0000-0002-9184-8124
Raquel E GurDepartment of Psychiatry.
Vishwajit L NimgaonkarDepartment of Psychiatry.
Michael F Pogue-GeileDepartment of Psychiatry.ORCID 0000-0003-2193-1376
Stanley Foundation · US

Funding

NEUROBEHAVIORAL STUDY OF SCHIZOPHRENIAR01MH042191 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI GUR, RAQUEL E · 1987 to 2018
$7.1M
A Neurobehavioral Family Study of SchizophreniaR01MH063480 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI NIMGAONKAR, VISHWAJIT LAXMIKANT · 2001 to 2018
$6.1M
A Neurobehavioral Family Study of SchizophreniaR01MH061622 · NIMH · UNIVERSITY OF TEXAS RIO GRANDE VALLEY · PI ALMASY, LAURA A. · 2001 to 2018
$4.9M
The Neurobiology of Affective Dysfunction in SchizophreniaR01MH060722 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI GUR, RUBEN C. · 2001 to 2010
$4.8M
Predoctoral Training Program in Behavioral Brain ResearchT32GM081760 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI FIEZ, JULIE A, HOLT, LORI L · 2007 to 2021
$4.3M
Evolution of Psychosis in Youth: Multimodal Risk and Resilience MarkersR01MH119219 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI GUR, RAQUEL E, GUR, RUBEN C. · 2019 to 2023
$3.8M
CIHRNIGMS NIH HHS T32 GM081760NIH HHSNIMH NIH HHS R01 MH042191NIMH NIH HHS R01 MH060722NIMH NIH HHS R01 MH061622NIMH NIH HHS R01 MH063480NIMH NIH HHS R01 MH119219
6 · The paper itself

Abstract

Risk for schizophrenia peaks during early adulthood, a critical period for brain development. Although several influential theoretical models have been proposed for the developmental relationship between brain pathology and clinical onset, to our knowledge, no study has directly evaluated the predictions of these models for schizophrenia developmental genetic effects on brain structure. To address this question, we introduce a framework to estimate the effects of schizophrenia genetic variation on brain structure phenotypes across the life span. Five-hundred and six participants, including 30 schizophrenia probands, 200 of their relatives (aged 12-85 years) from 32 families with at least two first-degree schizophrenia relatives, and 276 unrelated controls, underwent MRI to assess regional cortical thickness (CT) and cortical surface area (CSA). Genetic variance decomposition analyses were conducted to distinguish among schizophrenia neurogenetic effects that are most salient before schizophrenia peak age-of-risk (i.e., early neurodevelopmental effects), after peak age-of-risk (late neurodevelopmental effects), and during the later plateau of age-of-risk (neurodegenerative effects). Genetic correlations between schizophrenia and cortical traits suggested early neurodevelopmental effects for frontal and insula CSA, late neurodevelopmental effects for overall CSA and frontal, parietal, and occipital CSA, and possible neurodegenerative effects for temporal CT and parietal CSA. Importantly, these developmental neurogenetic effects were specific to schizophrenia and not found with nonpsychotic depression. Our findings highlight the potentially dynamic nature of schizophrenia genetic effects across the lifespan and emphasize the utility of integrating neuroimaging methods with developmental behavior genetic approaches to elucidate the nature and timing of risk-conferring processes in psychopathology. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Indexed as

SchizophreniaBrainCerebral CortexHumansMagnetic Resonance ImagingTemporal Lobe

Identifiers

PMID35737559
PMCPMC9339500
OpenAlexW4283371774

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.