Gene co-expression networks in peripheral blood capture dimensional measures of emotional and behavioral problems from the Child Behavior Checklist (CBCL)

CBCL公司 儿童行为检查表 心理学 研究领域标准 侵略 临床心理学 先证者 心理健康 行为综合征 认知 检查表 发展心理学 精神病理学 精神科 认知心理学 基因 遗传学 生物 社会心理学 人格 突变
作者
Jonathan Hess,Nicholas H. Nguyen,Jesse Suben,Ryan M. Meath,Avery B. Albert,Sarah Van Orman,Kristin M. Anders,Patricia Forken,Cheryl Roe,Thomas G. Schulze,Stephen V. Faraone,Stephen J. Glatt
出处
期刊:Translational Psychiatry [Springer Nature]
卷期号:10 (1) 被引量:2
标识
DOI:10.1038/s41398-020-01007-w
摘要

Abstract The U.S. National Institute of Mental Health (NIMH) introduced the research domain criteria (RDoC) initiative to promote the integration of information across multiple units of analysis (i.e., brain circuits, physiology, behavior, self-reports) to better understand the basic dimensions of behavior and cognitive functioning underlying normal and abnormal mental conditions. Along those lines, this study examined the association between peripheral blood gene expression levels and emotional and behavioral problems in school-age children. Children were chosen from two age- and sex-matched groups: those with or without parental reports of any prior or current psychiatric diagnosis. RNA-sequencing was performed on whole blood from 96 probands aged 6–12 years who were medication-free at the time of assessment. Module eigengenes were derived using weighted gene co-expression network analysis ( WGCNA ). Associations were tested between module eigengene expression levels and eight syndrome scales from parent ratings on the Child Behavior Checklist (CBCL). Nine out of the 36 modules were significantly associated with at least one syndrome scale measured by the CBCL (i.e., aggression, social problems, attention problems, and/or thought problems) after accounting for covariates and correcting for multiple testing. Our study demonstrates that variation in peripheral blood gene expression relates to emotional and behavioral profiles in children. If replicated and validated, our results may help in identifying problem or at-risk behavior in pediatric populations, and in elucidating the biological pathways that modulate complex human behavior.

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