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短感觉通道剖面图数据的聚类分析揭示了自闭症谱系障碍中的基于感觉的亚组。

Cluster Analysis of Short Sensory Profile Data Reveals Sensory-Based Subgroups in Autism Spectrum Disorder.

机构信息

Department of Pediatrics, Section of Pediatric Neurology and Developmental Neuroscience, Baylor College of Medicine, 6621 Fannin St., Houston, TX 77030, USA.

Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital, 1250 Moursund St., Houston, TX 77030, USA.

出版信息

Int J Mol Sci. 2022 Oct 27;23(21):13030. doi: 10.3390/ijms232113030.

Abstract

Autism spectrum disorder is a common, heterogeneous neurodevelopmental disorder lacking targeted treatments. Additional features include restricted, repetitive patterns of behaviors and differences in sensory processing. We hypothesized that detailed sensory features including modality specific hyper- and hypo-sensitivity could be used to identify clinically recognizable subgroups with unique underlying gene variants. Participants included 378 individuals with a clinical diagnosis of autism spectrum disorder who contributed Short Sensory Profile data assessing the frequency of sensory behaviors and whole genome sequencing results to the Autism Speaks' MSSNG database. Sensory phenotypes in this cohort were not randomly distributed with 10 patterns describing 43% (162/378) of participants. Cross comparison of two independent cluster analyses on sensory responses identified six distinct sensory-based subgroups. We then characterized subgroups by calculating the percent of patients in each subgroup who had variants with a Combined Annotation Dependent Depletion (CADD) score of 15 or greater in each of 24,896 genes. Each subgroup exhibited a unique pattern of genes with a high frequency of variants. These results support the use of sensory features to identify autism spectrum disorder subgroups with shared genetic variants.

摘要

自闭症谱系障碍是一种常见的、异质的神经发育障碍,缺乏针对性的治疗方法。其附加特征包括受限的、重复的行为模式和感官处理方面的差异。我们假设,详细的感官特征,包括特定感觉模式的超敏和低敏反应,可以用于识别具有独特潜在基因突变的临床上可识别的亚组。参与者包括 378 名临床诊断为自闭症谱系障碍的个体,他们提供了短感觉概况数据,评估了感官行为的频率,以及全基因组测序结果,这些结果都被纳入自闭症说话者 MSSNG 数据库。在这个队列中,感官表型并非随机分布,有 10 种模式描述了 43%(162/378)的参与者。对两种独立的感官反应聚类分析的交叉比较确定了六个不同的基于感官的亚组。然后,我们通过计算每个亚组中具有 Combined Annotation Dependent Depletion (CADD) 评分 15 或更高的变异的患者比例,来对每个亚组进行特征描述,这些变异存在于 24896 个基因中。每个亚组都表现出具有高频率变异的基因的独特模式。这些结果支持使用感官特征来识别具有共享遗传变异的自闭症谱系障碍亚组。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bdd7/9655407/3b8e57a27342/ijms-23-13030-g001.jpg

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