神经认知
精神病理学
拷贝数变化
队列
心理学
精神科
认知
医学
临床心理学
遗传学
内科学
基因组
生物
基因
作者
Aaron Alexander‐Bloch,Guillaume Huguet,Laura M. Schultz,Nicholas Huffnagle,Sébastien Jacquemont,Jakob Seidlitz,Zohra Saci,Tyler M. Moore,Richard A.I. Bethlehem,Josephine Mollon,Emma Knowles,Armin Raznahan,Alison Merikangas,Barbara H. Chaiyachati,Harshini Raman,J. Eric Schmitt,Ran Barzilay,Monica E. Calkins,Russel T. Shinohara,Theodore D. Satterthwaite,Ruben C. Gur,David C. Glahn,Laura Almasy,Raquel E. Gur,Håkon Håkonarson,Joseph Glessner
出处
期刊:JAMA Psychiatry
[American Medical Association]
日期:2022-05-11
卷期号:79 (7): 699-699
被引量:21
标识
DOI:10.1001/jamapsychiatry.2022.1017
摘要
Psychiatric and cognitive phenotypes have been associated with a range of specific, rare copy number variants (CNVs). Moreover, IQ is strongly associated with CNV risk scores that model the predicted risk of CNVs across the genome. But the utility of CNV risk scores for psychiatric phenotypes has been sparsely examined.To determine how CNV risk scores, common genetic variation indexed by polygenic scores (PGSs), and environmental factors combine to associate with cognition and psychopathology in a community sample.The Philadelphia Neurodevelopmental Cohort is a community-based study examining genetics, psychopathology, neurocognition, and neuroimaging. Participants were recruited through the Children's Hospital of Philadelphia pediatric network. Participants with stable health and fluency in English underwent genotypic and phenotypic characterization from November 5, 2009, through December 30, 2011. Data were analyzed from January 1 through July 30, 2021.The study examined (1) CNV risk scores derived from models of burden, predicted intolerance, and gene dosage sensitivity; (2) PGSs from genomewide association studies related to developmental outcomes; and (3) environmental factors, including trauma exposure and neighborhood socioeconomic status.The study examined (1) neurocognition, with the Penn Computerized Neurocognitive Battery; (2) psychopathology, with structured interviews based on the Schedule for Affective Disorders and Schizophrenia for School-Age Children; and (3) brain volume, with magnetic resonance imaging.Participants included 9498 youths aged 8 to 21 years; 4906 (51.7%) were female, and the mean (SD) age was 14.2 (3.7) years. After quality control, 18 185 total CNVs greater than 50 kilobases (10 517 deletions and 7668 duplications) were identified in 7101 unrelated participants genotyped on Illumina arrays. In these participants, elevated CNV risk scores were associated with lower overall accuracy on cognitive tests (standardized β = 0.12; 95% CI, 0.10-0.14; P = 7.41 × 10-26); lower accuracy across a range of cognitive subdomains; increased overall psychopathology; increased psychosis-spectrum symptoms; and higher deviation from a normative developmental model of brain volume. Statistical models of developmental outcomes were significantly improved when CNV risk scores were combined with PGSs and environmental factors.In this study, elevated CNV risk scores were associated with lower cognitive ability, higher psychopathology including psychosis-spectrum symptoms, and greater deviations from normative magnetic resonance imaging models of brain development. Together, these results represent a step toward synthesizing rare genetic, common genetic, and environmental factors to understand clinically relevant outcomes in youth.