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Human gene duplications in neurodevelopment and disease

神经发育和疾病中的人类基因重复

基本信息

批准号：
10803027
负责人：
Megan Y Dennis
金额：
$ 69.48万
依托单位：
UNIVERSITY OF CALIFORNIA AT DAVIS
依托单位国家：
美国
项目类别：
财政年份：
2023
资助国家：
美国
起止时间：
2023-09-20 至 2028-07-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10803027
关键词：
Benchmarking Bioinformatics Biological Biological Assay Biological Models Brain Candidate Disease Gene Clustered Regularly Interspaced Short Palindromic Repeats Complement Complex Copy Number Polymorphism Coupled Data Data Set Development Developmental Process Disease Embryo Etiology Evolution Exhibits Eye Development Family Gene Duplication Genes Genetic Genetic Diseases Genetic Heterogeneity Genetic Risk Genetic Screening Genetic Variation Genome Genomics Human Human Genetics Human Genome Image Knock-out Left Life Location Maps Messenger RNA Methods Modeling Modernization Morphology Mus Mutation Neurodevelopmental Disorder Neurologic Neurons Orthologous Gene Phenotype Pongidae Population Population Control Primates Proliferating Proteins Publications Publishing Recurrence Role SRGAP2 gene Sampling Sequence Analysis Siblings Signal Transduction Societies Source Specific qualifier value Testing Time Variant Zebrafish autism spectrum disorder autistic children axon guidance bioinformatics pipeline causal variant cohort experience falls fetal frontier functional genomics gene conservation gene function genetic variant genomic locus human pangenome human reference genome improved individuals with autism spectrum disorder innovation insight mutant neural neurodevelopment paralogous gene patient screening proband rare variant reference genome single-cell RNA sequencing synaptic function synaptogenesis telomere tool trait transcriptome sequencing whole genome

项目摘要

PROJECT SUMMARY/ABSTRACT Despite significant efforts to identify genes important in human neurodevelopment and disease, a large proportion of genes and variants remain undiscovered. Duplicated parts of the genome are largely understudied due to historical errors in the reference and bioinformatic pipelines that filter reads mapping to multiple locations in the genome. With the recent publication of a complete telomere-to-telomere human genome, genes and variants can be more effectively assayed across complex loci, but modified computational approaches are necessary. The proposed study will leverage diverse expertise in functional genomics and human genetics to test the hypothesis that a subset of human duplicated genes both contribute to neurological features and cause disorders exclusive to modern-day humans. Duplicated genes have previously been shown to play a role in early brain development and are enriched at genomic hotspots where recurrent copy-number variants are associated with neurodevelopmental disorders. Starting with a comprehensive list of thousands of human duplicated genes, functions of a subset of genes expressed during human corticogenesis will be tested using CRISPR knockout of orthologs and expression of human paralogs in zebrafish to determine their effects on general morphology, synaptic function, and brain development. The ability to test tens to hundreds of genes in parallel and conservation of basic developmental processes—such as neural proliferation, axonal guidance, and synaptogenesis—make zebrafish an ideal model to test these genes. Second, a genetic screen will be performed in human population cohorts to identify conserved duplicated genes. Since standard methods filter variants across many complex genomic loci, an improved bioinformatics approach leveraging short-read data will be devised and optimized using available sequencing benchmarks. Further, conserved genes will be screened for de novo and rare variants in autistic individuals using published datasets. Leveraging this multifaceted approach will enable systematic assessment of duplicated genes and their putative roles in human neurological traits and disorders. The zebrafish toolkit will be generally applicable to assaying functions of additional (non-duplicated) genes important in brain development, while the improved bioinformatics approach will enable additional screens of duplicated genes in other disease cohorts. This project will not only provide important insights into what it means to be human, but also it has the capability to discover missing genetic risk and elucidate the etiology of complex genetic neural traits and disorders.

项目总结/摘要尽管在识别人类神经发育和疾病中重要的基因方面做出了重大努力，但大部分基因仍然存在。基因和变异的比例仍然未被发现。基因组的重复部分主要是由于参考和生物信息学管道中的历史错误，基因组中的多个位置。随着最近发表的一个完整的端粒到端粒的人类基因组、基因和变体可以在复杂的基因座上更有效地测定，但修改的计算方法是必要的。拟议的研究将利用功能基因组学的各种专业知识和人类遗传学来检验一个假设，即人类复制基因的一个子集都有助于神经学特征，并导致现代人类独有的疾病。重复的基因以前被证明在早期大脑发育中发挥作用，并在基因组热点富集，复发性拷贝数变异与神经发育障碍有关。以开局就是成千上万的人类重复基因的综合列表，在人类基因组中表达的基因子集的功能，将使用直向同源物的CRISPR敲除和人旁系同源物的表达来测试人皮质生成，斑马鱼，以确定其对一般形态，突触功能和大脑发育的影响。的同时测试数十到数百个基因的能力，以及基本发育过程的保护，由于神经增殖、轴突引导和突触发生，使斑马鱼成为测试这些功能的理想模型基因.其次，将在人群队列中进行遗传筛查，以确定保守的复制基因由于标准方法在许多复杂的基因组基因座上过滤变体，因此改进的方法可以在许多复杂的基因组基因座上过滤变体。利用现有的测序技术，将设计和优化利用短读数据的生物信息学方法基准。此外，保守的基因将筛选新生和罕见的变异，在自闭症患者使用已发布的数据集。利用这一多方面的方法，将能够系统地评估重复基因及其在人类神经系统特征和疾病中的假定作用。斑马鱼工具包将通常适用于测定脑中重要的额外（非复制）基因的功能开发，而改进的生物信息学方法将使额外的重复基因筛选，其他疾病队列。这个项目不仅将提供重要的见解，了解什么是人类，但它也有能力发现缺失的遗传风险，并阐明复杂的遗传神经系统疾病的病因。特征和失调