Department of Child and Adolescent Psychiatry and Behavioral Science, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
The Lifespan Brain Institute, Children's Hospital of Philadelphia and Penn Medicine, University of Pennsylvania, Philadelphia.
JAMA Psychiatry. 2022 Jul 1;79(7):699-709. doi: 10.1001/jamapsychiatry.2022.1017.
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.
DESIGN, SETTING, AND PARTICIPANTS: 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.
精神和认知表型与一系列特定的罕见拷贝数变异(CNVs)有关。此外,智商与 CNV 风险评分密切相关,这些评分模型预测了基因组中 CNV 的风险。但是,CNV 风险评分对精神表型的效用还很少被研究。
确定 CNV 风险评分、常见遗传变异(多基因评分,PGS)和环境因素如何结合,以关联社区样本中的认知和精神病理学。
设计、地点和参与者:费城神经发育队列是一项基于社区的研究,旨在研究遗传学、精神病理学、神经认知和神经影像学。参与者通过费城儿童医院的儿科网络招募。有稳定健康和流利英语的参与者在 2009 年 11 月 5 日至 2011 年 12 月 30 日期间进行了基因分型和表型特征描述。数据分析于 2021 年 1 月 1 日至 7 月 30 日进行。
该研究检查了(1)来自负担、预测不耐受和基因剂量敏感性模型的 CNV 风险评分;(2)与发育结果相关的全基因组关联研究的 PGS;(3)环境因素,包括创伤暴露和邻里社会经济地位。
该研究检查了(1)使用 Penn 计算机化神经认知电池的神经认知;(2)使用基于儿童时期情感障碍和精神分裂症的时间表的结构化访谈的精神病理学;和(3)使用磁共振成像的大脑体积。
参与者包括 8 至 21 岁的 9498 名青少年;4906 名(51.7%)为女性,平均(SD)年龄为 14.2(3.7)岁。在质量控制后,在 7101 名未相关参与者中鉴定了 18185 个大于 50 千碱基的总 CNV(10517 个缺失和 7668 个重复),这些参与者在 Illumina 阵列上进行了基因分型。在这些参与者中,较高的 CNV 风险评分与认知测试的整体准确性降低有关(标准化β=0.12;95%置信区间,0.10-0.14;P=7.41×10-26);认知子领域的准确性降低;整体精神病理学增加;精神病谱症状增加;以及与正常发育的大脑体积模型的偏差更大。当将 CNV 风险评分与 PGS 和环境因素结合使用时,发育结果的统计模型得到了显著改善。
在这项研究中,较高的 CNV 风险评分与认知能力降低、精神病症状包括精神病谱症状增加以及与正常磁共振成像大脑发育模型的偏差更大有关。这些结果共同代表了综合罕见遗传、常见遗传和环境因素以了解青年临床相关结果的一步。