Development of Online Tool for Speech-Language Research

言语和语言障碍，包括严重言语声音障碍（SSD）、发育性 语言障碍（DLD）和诵读困难影响了近30%的人口。尽管患病率很高， 在这些疾病中，我们对言语、语言和 阅读能力或障碍。在某种程度上，我们理解上的这种差距是由于缺乏足够大的 进行稳健遗传分析的样本（例如，100，000）。我们可以加深对 通过使用大型研究队列，如23andMe，All of Us和英国生物银行。我们 目前无法利用这些群体，因为我们缺乏快速，可靠和有效的在线工具 能够测量成人的言语、语言和阅读技能。本提案的总体目标是 为语言遗传学研究开发一个在线行为数据收集工具。我们将 调整、完善和试点测试现有的语音、语言和阅读措施的在线版本， 成人在线测试长期目标是使用这个在线行为工具来检查 遗传学的讲话，语言，和阅读性状在大型预先存在的遗传群体，以进一步我们的 理解言语和语言特征和障碍的遗传学。有三个具体的 目标。具体目标1是调整和完善言语、语言和阅读措施。这一目标包括 修改现有的工具，创建新的测试项目，并获得专家和用户的反馈。具体目标2 将在一般人群样本（n = 100）中对在线工具进行试点测试，检查性能分布， 并提供收敛有效性的估计。具体目标3将在临床试验中对在线工具进行试点测试 样本（n = 60）与SSD，DLD，或诵读困难。我们将检查每个临床组的表现， 证明初始有效性，并确定具有区分群体潜力的任务。

Speech and language disorders, including severe speech sound disorder (SSD), developmental language disorder (DLD), and dyslexia, affect nearly 30% of the population. Despite the high prevalence of these disorders, we do not have a clear understanding of the genetic basis of speech, language, and reading abilities or disorders. In part, this gap in our understanding is due to the lack of sufficiently large samples to conduct robust genetic analyses (e.g., 100,000). We could increase our understanding of the genetics by using large research cohorts like 23andMe, All of Us, and the UK Bio Bank. We are currently unable take advantage of such cohorts because we lack a quick, reliable, and valid online tool capable of measuring speech, language, and reading skills in adults. The overall goal of this proposal is to develop an online behavioral data collection tool for speech-language genetics research. We will adapt, refine, and pilot test online versions of existing speech, language, and reading measures for online testing with adults. The long-term goal is to use this online behavioral tool to examine the genetics of speech, language, and reading traits within large pre-existing genetic cohorts to further our understanding of the genetics of speech and language traits and disorders. There are three specific aims. Specific aim 1 is to adapt and refine speech, language, and reading measures. This aim includes modifying existing tools, creating new test items, and obtaining expert and user feedback. Specific aim 2 will pilot test the online tool in a general population sample (n = 100), examine performance distribution, and provide an estimate for convergent validity. Specific aim 3 will pilot test the online tool in a clinical sample (n = 60) with SSD, DLD, or dyslexia. We will examine performance in each clinical group, demonstrate initial validity, and identify tasks with potential to differentiate between groups.