Ontology highlight
ABSTRACT:
PROVIDER: PRJNA948030 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR23950026_1.fastq.gz | Fastqsanger.gz | |||
| SRR23950026_2.fastq.gz | Fastqsanger.gz | |||
| SRR23950027_1.fastq.gz | Fastqsanger.gz | |||
| SRR23950027_2.fastq.gz | Fastqsanger.gz | |||
| SRR23950028_1.fastq.gz | Fastqsanger.gz |
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2010-05-01 | GSE20533 | GEO
Project description:Autism spectrum disorder (ASD) is an innate neurodevelopmental disorder characterized by impairments in social communication/interaction, repetitive and restrictive behavior. Copy number variation (CNV) is a one of the structural variation of the genomic sequence, including large multiplications and deletions ranging from kb to Mb of DNA. These multiplication-deletion provide genomic diversity, while CNV affects the amount of gene products or transcriptional regulation, and result in strong association with biological process, metabolism and disease. In facts, many studies reported that the mapping of CNVs which strongly associated with ASD. The subjects of this study were the community-based 5 years old children because they might be able to except acquired effects after birth as much as possible and focus on the genetic background, and there are possibilities that the results will be specific to the Japanese patients with ASD.
2020-08-01 | GSE144918 | GEO
Project description:A number of genetic studies have identified rare protein-coding DNA variations associated with autism spectrum disorder (ASD), a neurodevelopmental disorder with significant genetic etiology and heterogeneity. In contrast, the contributions of functional, regulatory genetic variations that occur in the extensive non-protein-coding regions of the genome remain poorly understood. Here we developed a genome-wide analysis to identify rare single nucleotide variants (SNVs) that occur in non-coding regions and determined regulatory function and evolutionary conservation of these variants. Using publicly available datasets and computational predictions, we identified SNVs within putative regulatory regions in promoters, transcription factor binding sites, microRNA genes and their target sites. Overall, we found regulatory variants in the ASD cases were enriched in autism-risk genes and genes involved in fetal neurodevelopment. As with previously reported coding mutations, we found an enrichment of regulatory variants associated with dysregulation of neurodevelopmental and synaptic signaling pathways. Among these were rare inherited non-coding SNVs found in the mature sequence of a number of microRNAs predicted to affect the regulation of autism-risk genes. We show a paternally inherited miR-873-5p variant, with reduced NRXN2 binding affinity, overlays a maternally inherited NRXN1 putative loss-of-function coding variation to likely increase genetic liability in an idiopathic ASD case. Our analysis pipeline provides a new resource for identifying loss-of-function regulatory DNA variations that may contribute to the genetic etiology of complex disorders.
2017-04-25 | GSE98088 | GEO
Project description:Background: Array-Comparative-Genomic-Hybridization (aCGH) is recommended as first-tier genetic test for children with autism spectrum disorder (ASD). However, result interpretation can be challenging as copy number variants (CNVs) in non-European ASD patients is not well studied. To address this literature gap, we report the CNV findings in a cohort of Chinese children with ASD. Methods DNA samples were obtained from 258 Chinese ASD patients recruited from a child assessment center between January 2011 and August 2014. aCGH was performed using NimbleGen-CGX-135k or Agilent-CGX 60k oligonucleotide array. Results were classified based on existing guidelines and literature. Results: Ten pathogenic and one likely-pathogenic CNVs were found in nine patients, with an overall diagnostic yield of 3.5%. A 138kb duplication involving 3â exons of DPP10 (hg[19]chr2:116534689-116672358), reported to be associated with ASD, was identified in one patient (0.39%). The same CNV was reported as variant of unknown significance (VUS) in DECIPHER database. Multiple individuals of typical development carrying a similar duplication were identified amongst our ancestry-matched control with frequency of 6/653 (0.92%) as well as from literature and genomic databases. Conclusions: DPP10 duplication is likely a benign CNV polymorphism enriched in Southern Chinese with population frequency of ~1%. This highlights the importance of using ancestry-matched controls in interpretation of aCGH findings.
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Project description:Background Array-Comparative-Genomic-Hybridization (aCGH) is recommended as first-tier genetic test for children with autism spectrum disorder (ASD). However, result interpretation can be challenging as copy number variants (CNVs) in non-European ASD patients is not well studied. To address this literature gap, we report the CNV findings in a cohort of Chinese children with ASD. Methods DNA samples were obtained from 258 Chinese ASD patients recruited from a child assessment center between January 2011 and August 2014. aCGH was performed using NimbleGen-CGX-135k or Agilent-CGX 60k oligonucleotide array. Results were classified based on existing guidelines and literature. Results Ten pathogenic and one likely-pathogenic CNVs were found in nine patients, with an overall diagnostic yield of 3.5%. A 138kb duplication involving 3â exons of DPP10 (hg[19]chr2:116534689-116672358), reported to be associated with ASD, was identified in one patient (0.39%). The same CNV was reported as variant of unknown significance (VUS) in DECIPHER database. Multiple individuals of typical development carrying a similar duplication were identified amongst our ancestry-matched control with frequency of 6/653 (0.92%) as well as from literature and genomic databases. Conclusions DPP10 duplication is likely a benign CNV polymorphism enriched in Southern Chinese with population frequency of ~1%. This highlights the importance of using ancestry-matched controls in interpretation of aCGH findings.
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Project description:Autism spectrum disorders (ASD) are characterized by a high degree of genetic heterogeneity. Genomic studies identified common pathological processes underlying the heterogeneous clinical manifestations of ASD, and transcriptome analyses revealed that gene networks involved in synapse development, neuronal activity and immune function are deregulated in ASD. Mouse models provide unique tools to investigate the neurobiological basis of ASD. Here we used the BTBR (BTBR T+ Itpr3tf/J) ASD mouse model to identify conserved ASD-related molecular signatures. Gene expression in the BTBR mouse prefrontal cortex was measured by microarrays and compared to the gene expression profile of C57Bl6/J controls (5 months old, n= 3 mice per group).
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