Department of Human Genetics, University of California-Los Angeles, 695 Charles E. Young Dr. South, Los Angeles, CA 90095, USA.
Am J Med Genet B Neuropsychiatr Genet. 2010 Sep;153B(6):1119-26. doi: 10.1002/ajmg.b.31103.
While strong familial evidence supports a substantial genetic contribution to the etiology of autism spectrum disorders (ASD), specific genetic abnormalities have been identified in only a small minority of all cases. In order to comprehensively delineate the genetic components of autism including the identification of rare and common variants, overall sample sizes an order of magnitude larger than those currently under study are critically needed. This will require rapid and scalable subject assessment paradigms that obviate clinic-based time-intensive behavioral phenotyping, which is a rate-limiting step. Here, we test the accuracy of a web-based approach to autism phenotyping implemented within the Interactive Autism Network (IAN). Families who were registered with the IAN and resided near one of the three study sites were eligible for the study. One hundred seven children ascertained from this pool who were verbal, age 4-17 years, and had Social Communication Questionnaire (SCQ) scores > or =12 (a profile that characterizes a majority of ASD-affected children in IAN) underwent a clinical confirmation battery. One hundred five of the 107 children were ASD positive (98%) by clinician's best estimate. One hundred four of these individuals (99%) were ASD positive by developmental history using the Autism Diagnostic Interview-Revised (ADI-R) and 97 (93%) were positive for ASD by developmental history and direct observational assessment (Autism Diagnostic Observational Schedule or expert clinician observation). These data support the reliability and feasibility of the IAN-implemented parent-report paradigms for the ascertainment of clinical ASD for large-scale genetic research.
虽然强有力的家族证据支持自闭症谱系障碍(ASD)的病因有很大的遗传贡献,但仅在极少数所有病例中发现了特定的遗传异常。为了全面描绘自闭症的遗传成分,包括罕见和常见变异的识别,迫切需要比目前研究的总体样本量大一个数量级。这将需要快速和可扩展的对象评估范式,避免基于诊所的耗时行为表型,这是一个限制步骤。在这里,我们测试了在交互式自闭症网络(IAN)内实施的基于网络的自闭症表型方法的准确性。在 IAN 注册并居住在三个研究地点之一附近的家庭有资格参加这项研究。从这个群体中确定了 107 名语言能力正常、年龄在 4-17 岁之间、社交沟通问卷(SCQ)得分>或=12 的儿童(这一特征描述了 IAN 中大多数受 ASD 影响的儿童),他们接受了临床确认测试。这 107 名儿童中有 105 名(98%)被临床医生根据最佳估计确定为 ASD 阳性。其中 104 名(99%)根据使用自闭症诊断访谈修订版(ADI-R)的发育史被确定为 ASD 阳性,97 名(93%)根据发育史和直接观察评估(自闭症诊断观察量表或专家临床医生观察)确定为 ASD 阳性。这些数据支持 IAN 实施的父母报告范式在大规模遗传研究中用于确定临床 ASD 的可靠性和可行性。