The Brain Gene Registry: a data snapshot

IF 4.1 2区 医学 Q1 CLINICAL NEUROLOGY
Dustin Baldridge, Levi Kaster, Catherine Sancimino, Siddharth Srivastava, Sophie Molholm, Aditi Gupta, Inez Oh, Virginia Lanzotti, Daleep Grewal, Erin Rooney Riggs, Juliann M. Savatt, Rachel Hauck, Abigail Sveden, John N. Constantino, Joseph Piven, Christina A. Gurnett, Maya Chopra, Heather Hazlett, Philip R. O. Payne
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引用次数: 0

Abstract

Monogenic disorders account for a large proportion of population-attributable risk for neurodevelopmental disabilities. However, the data necessary to infer a causal relationship between a given genetic variant and a particular neurodevelopmental disorder is often lacking. Recognizing this scientific roadblock, 13 Intellectual and Developmental Disabilities Research Centers (IDDRCs) formed a consortium to create the Brain Gene Registry (BGR), a repository pairing clinical genetic data with phenotypic data from participants with variants in putative brain genes. Phenotypic profiles are assembled from the electronic health record (EHR) and a battery of remotely administered standardized assessments collectively referred to as the Rapid Neurobehavioral Assessment Protocol (RNAP), which include cognitive, neurologic, and neuropsychiatric assessments, as well as assessments for attention deficit hyperactivity disorder (ADHD) and autism spectrum disorder (ASD). Co-enrollment of BGR participants in the Clinical Genome Resource’s (ClinGen’s) GenomeConnect enables display of variant information in ClinVar. The BGR currently contains data on 479 participants who are 55% male, 6% Asian, 6% Black or African American, 76% white, and 12% Hispanic/Latine. Over 200 genes are represented in the BGR, with 12 or more participants harboring variants in each of these genes: CACNA1A, DNMT3A, SLC6A1, SETD5, and MYT1L. More than 30% of variants are de novo and 43% are classified as variants of uncertain significance (VUSs). Mean standard scores on cognitive or developmental screens are below average for the BGR cohort. EHR data reveal developmental delay as the earliest and most common diagnosis in this sample, followed by speech and language disorders, ASD, and ADHD. BGR data has already been used to accelerate gene-disease validity curation of 36 genes evaluated by ClinGen’s BGR Intellectual Disability (ID)-Autism (ASD) Gene Curation Expert Panel. In summary, the BGR is a resource for use by stakeholders interested in advancing translational research for brain genes and continues to recruit participants with clinically reported variants to establish a rich and well-characterized national resource to promote research on neurodevelopmental disorders.
大脑基因登记:数据快照
在神经发育障碍的人群归因风险中,单基因疾病占了很大比例。然而,推断特定基因变异与特定神经发育障碍之间因果关系所需的数据往往缺乏。认识到这一科学障碍后,13 个智力和发育障碍研究中心(IDDRCs)组成了一个联盟,创建了脑基因注册中心(BGR),这是一个将临床基因数据与推测脑基因变异参与者的表型数据配对的存储库。表型档案由电子健康记录(EHR)和一系列远程管理的标准化评估(统称为快速神经行为评估协议(RNAP))组成,其中包括认知、神经和神经精神评估,以及注意缺陷多动障碍(ADHD)和自闭症谱系障碍(ASD)评估。BGR 参与者共同加入临床基因组资源(ClinGen)的 GenomeConnect 后,可在 ClinVar 中显示变异信息。BGR 目前包含 479 名参与者的数据,其中 55% 为男性,6% 为亚裔,6% 为黑人或非裔美国人,76% 为白人,12% 为西班牙裔/拉丁裔。BGR 中包含 200 多个基因,每个基因中都有 12 个或更多参与者携带变异:CACNA1A、DNMT3A、SLC6A1、SETD5 和 MYT1L。30%以上的变异为新变异,43%的变异被归类为意义不确定的变异(VUS)。认知或发育筛查的平均标准分低于 BGR 群体的平均水平。电子病历数据显示,发育迟缓是该样本中最早和最常见的诊断,其次是言语和语言障碍、ASD 和多动症。BGR数据已被用于加速ClinGen的BGR智力障碍(ID)-自闭症(ASD)基因编辑专家小组评估的36个基因的基因-疾病有效性编辑。总之,BGR 是供有志于推动脑部基因转化研究的利益相关者使用的资源,它将继续招募具有临床报告变异的参与者,以建立一个内容丰富、特征清晰的全国性资源,促进神经发育疾病的研究。
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来源期刊
CiteScore
7.60
自引率
4.10%
发文量
58
审稿时长
>12 weeks
期刊介绍: Journal of Neurodevelopmental Disorders is an open access journal that integrates current, cutting-edge research across a number of disciplines, including neurobiology, genetics, cognitive neuroscience, psychiatry and psychology. The journal’s primary focus is on the pathogenesis of neurodevelopmental disorders including autism, fragile X syndrome, tuberous sclerosis, Turner Syndrome, 22q Deletion Syndrome, Prader-Willi and Angelman Syndrome, Williams syndrome, lysosomal storage diseases, dyslexia, specific language impairment and fetal alcohol syndrome. With the discovery of specific genes underlying neurodevelopmental syndromes, the emergence of powerful tools for studying neural circuitry, and the development of new approaches for exploring molecular mechanisms, interdisciplinary research on the pathogenesis of neurodevelopmental disorders is now increasingly common. Journal of Neurodevelopmental Disorders provides a unique venue for researchers interested in comparing and contrasting mechanisms and characteristics related to the pathogenesis of the full range of neurodevelopmental disorders, sharpening our understanding of the etiology and relevant phenotypes of each condition.
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