单核苷酸多态性
联动装置(软件)
心理学
联想(心理学)
潜在类模型
临床心理学
注意缺陷多动障碍
基因
遗传学
机器学习
基因型
生物
心理治疗师
计算机科学
作者
Martha L. Cervantes-Henríquez,Johan E. Acosta-López,Ariel F. Martinez,Mauricio Arcos‐Burgos,Pedro J. Puentes-Rozo,Jorge I. Vélez
标识
DOI:10.1177/10870547211015426
摘要
To investigate whether single nucleotide polymorphisms (SNPs) in the ADGRL3, DRD4, and SNAP25 genes are associated with and predict ADHD severity in families from a Caribbean community.ADHD severity was derived using latent class cluster analysis of DSM-IV symptomatology. Family-based association tests were conducted to detect associations between SNPs and ADHD severity latent phenotypes. Machine learning algorithms were used to build predictive models of ADHD severity based on demographic and genetic data.Individuals with ADHD exhibited two seemingly independent latent class severity configurations. SNPs harbored in DRD4, SNAP25, and ADGRL3 showed evidence of linkage and association to symptoms severity and a potential pleiotropic effect on distinct domains of ADHD severity. Predictive models discriminate severe from non-severe ADHD in specific symptom domains.This study supports the role of DRD4, SNAP25, and ADGRL3 genes in outlining ADHD severity, and a new prediction framework with potential clinical use.
科研通智能强力驱动
Strongly Powered by AbleSci AI