| Accession | PRJCA019122 | ||||||||
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| Title | Integrating Analysis of Multi-Omic data for Pathogenesis of AutismSpecturm Disorder | ||||||||
| Relevance | Medical | ||||||||
| Data types |
Whole genome sequencing
Epigenomics Exome Variation Genome sequencing and assembly |
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| Organisms | Homo sapiens | ||||||||
| Description | Autism is a serious neurodevelopmental disease in children. Epidemiological studies have found that the prevalence of autism has reached 1.14%. Genetic and environmental factors are two main causes. According to the highly clinical and genetic heterogeneity, the integration of multi-omics has becoming an effective approach to understanding the pathophysiology of ASD. Taking advantage of the data from whole genomics, transcriptomics, metabolomics and epiomics, we perform multi-omics analysis, trying to explore the potentially gene clusters that can be used for diagnosis and risk warning, integrating a Multi-dimension biomarker panel from a combination of non-coding variants, non-coding RNAs and metabolites, and establishing an independent large-scale cohort for validation and optimization. Theses identified gene or pathway will be selected to study how they contribute to the pathogenic mechanism of Autism by performing molecular cell experiments and gene knockout mice. This proposal, based on a multi-omic integrating analysis of high throughput sequence, will provide new insights for genetic counseling, molecular subtype classification, and pathogenic mechanism investigation in Autism. | ||||||||
| Sample scope | Multiisolate | ||||||||
| Release date | 2024-08-15 | ||||||||
| Grants |
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| Submitter | Lu Xia (xialu0614@csu.edu.cn) | ||||||||
| Organization | Central South University | ||||||||
| Submission date | 2023-08-17 |
| Resource name | Description |
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