Genome wide Rare Variant Score Associates With Morphological Subtypes of Autism Spectrum Disorder
Ontology highlight
ABSTRACT:
PROVIDER: EGAS00001005753 | EGA |
REPOSITORIES: EGA
Similar Datasets
Project description:We performed aCGH analysis using a custom Agilent oligonucleotide array to analyze 288 probands with idiopathic autism spectrum disorder (ASD) from the Simons Simplex Collection (SSC) of autism samples. The array is customized to high resolution coverage of exons for genes identified as encoding proteins included in a detailed protein interaction network for autism.
2011-06-08 | GSE29576 | GEO
Project description:<p>It is well established that autism spectrum disorders (ASD) have a strong genetic component; however, for at least 70% of cases, the underlying genetic cause is unknown. Under the hypothesis that de novo mutations underlie a substantial fraction of the risk for developing ASD in families with no previous history of ASD or related phenotypes-so-called sporadic or simplex families-we sequenced all coding regions of the genome (the exome) for parent-child trios exhibiting sporadic ASD, including 189 new trios and 20 that were previously reported. Additionally, we also sequenced the exomes of 50 unaffected siblings corresponding to these new (n = 31) and previously reported trios (n = 19), for a total of 617 individual exomes from 209 families deposited in dbGaP. Here we show that de novo point mutations are overwhelmingly paternal in origin (4:1 bias) and positively correlated with paternal age, consistent with the modest increased risk for children of older fathers to develop ASD. Moreover, 39% (49 of 126) of the most severe or disruptive de novo mutations map to a highly interconnected beta-catenin/chromatin remodelling protein network ranked significantly for autism candidate genes. In proband exomes, recurrent protein-altering mutations were observed in two genes: CHD8 and NTNG1. Mutation screening of six candidate genes in 1,703 ASD probands identified additional de novo, protein-altering mutations in GRIN2B, LAMC3 and SCN1A. Combined with copy number variant (CNV) data, these results indicate extreme locus heterogeneity but also provide a target for future discovery, diagnostics and therapeutics.</p>
| phs000482 | dbGaP
Project description:Autism spectrum disorders (ASD) are neurodevelopmental disorders characterized by delayed/abnormal language development, deficits in social interaction, repetitive behaviors and restricted interests. The heterogeneity in clinical presentation of ASD, likely due to different etiologies, complicates genetic/biological analyses of these disorders. DNA microarray analyses were conducted on 116 lymphoblastoid cell lines (LCL) from individuals with idiopathic autism who are divided into 3 phenotypic subgroups according to severity scores from the commonly used Autism Diagnostic Interview-Revised questionnaire and age-matched, nonautistic controls. Statistical analyses of gene expression data from control LCL against that of LCL from ASD probands identify genes for which expression levels are either quantitatively or qualitatively associated with phenotypic severity. Comparison of the significant differentially expressed genes from each subgroup relative to the control group reveals differentially expressed genes unique to each subgroup as well as genes in common across subgroups. Among the findings unique to the most severely affected ASD group are genes that regulate circadian rhythm, which has been shown to have multiple effects on neurological as well as metabolic functions commonly dysregulated in autism. Among the genes common to all 3 subgroups of ASD are 5 novel genes which appear to associate with androgen sensitivity, which may underlie the strong 4:1 bias towards affected males. Gene expression profiling of 116 LCL from autistic (87) and nonautistic (29) individuals were obtained using a custom-printed DNA microarray containing 39,936 elements (TIGR 40K Human array, GPL3427) and a reference design in which each sample was compared to the Stratagene Universal Human RNA standard. The 87 autistic samples were divided into phenotypic subgroups (language, mild, savant) on the basis of cluster analyses of scores from an autism diagnostic questionnaire, the Autism Diagnostic Interview-Revised instrument. Differentially expressed genes were determined for all autistic vs. control groups, as well as for each of 3 phenotypic ASD groups and controls.
2010-05-17 | E-GEOD-15402 | biostudies-arrayexpress
Project description:Purpose: To identify the genetic basis of posterior polymorphous corneal dystrophy (PPCD) in families mapped to the PPCD1 locus and in affected individuals without ZEB1 coding region mutations. Methods: The promoter and/or coding regions of OVOL2 were screened in the PPCD family in which linkage analysis established the PPCD1 locus and in 26 PPCD probands who did not harbor a ZEB1 mutation. Copy number variation (CNV) analysis in the PPCD1 and PPCD3 intervals was performed on DNA samples from eight probands using aCGH. Luciferase reporter assays were performed in human corneal endothelial cells to determine the impact of the identified potentially pathogenic variants on OVOL2 promoter activity. Results: OVOL2 screening in the first PPCD1-linked family demonstrated segregation of the c.-307T>C variant with the affected phenotype. In the other 26 probands screened, one heterozygous coding region variant and five promoter region heterozygous variants were identified, though none are likely pathogenic based on allele frequency. Array CGH in the PPCD1 and PPCD3 loci excluded the presence of CNV involving either OVOL2 or ZEB1, respectively. The c.-307T>C variant demonstrated increased promoter activity when compared to the wild-type sequence. Conclusions: The previously identified and presumed pathogenic OVOL2 promoter variant c.-307T>C was identified in the PPCD family that established the PPCD1 locus. However, the failure to identify presumed pathogenic coding or non-coding OVOL2 or ZEB1 variants, or CNV involving the PPCD1 and PPCD3 loci in 26 other PPCD probands suggests that other genetic loci may be involved in the pathogenesis of PPCD.
2017-03-08 | GSE84940 | GEO
Project description:<p>Identification of genetic biomarkers associated with autism spectrum disorders (ASDs) could improve recurrence prediction for families with a child with ASD. Here, we describe clinical microarray findings for 253 longitudinally phenotyped ASD families from the Baby Siblings Research Consortium (BSRC), encompassing 288 infant siblings. By age 3, 103 siblings (35.8%) were diagnosed with ASD and 54 (18.8%) were developing atypically. Thirteen siblings have copy number variants (CNVs) involving ASD-relevant genes: 6 with ASD, 5 atypically developing, and 2 typically developing. Within these families, an ASD-related CNV in a sibling has a positive predictive value (PPV) for ASD or atypical development of 0.83; the Simons Simplex Collection of ASD families shows similar PPVs. Polygenic risk analyses suggest that common genetic variants may also contribute to ASD. CNV findings would have been pre-symptomatically predictive of ASD or atypical development in 11 (7%) of the 157 BSRC siblings who were eventually diagnosed clinically. </p>
| phs001876 | dbGaP
Project description:There is growing evidence of mitochondrial disturbance in autism spectrum disorders (ASD) but causative relations remain to be established. We identified postzygotic mozaicp.Q639* mutation in the TRAP1 gene encoding mitochondrial chaperone of the HSP90 family in ASD patient whose monozygotic twin brother was healthy. An additional survey of 176 unrelated ASD probands showed identical TRAP1 variant in a single male patient. We generated a knock-in Trap1 p.Q641*mouse which displayed behavioral abnormalities relevant for ASD, that were more pronounced in males. This effect was corroborated by gender-specific differences in synaptic plasticity and the density of synaptic mitochondria. Next we performed transcriptome profiling by sequencing of RNA isolated from hippocampi of WT, HET and MUT male and female mice
2024-03-01 | GSE226319 | GEO
Project description:Autism spectrum disorders (ASD) are neurodevelopmental disorders characterized by delayed/abnormal language development, deficits in social interaction, repetitive behaviors and restricted interests. The heterogeneity in clinical presentation of ASD, likely due to different etiologies, complicates genetic/biological analyses of these disorders. DNA microarray analyses were conducted on 116 lymphoblastoid cell lines (LCL) from individuals with idiopathic autism who are divided into 3 phenotypic subgroups according to severity scores from the commonly used Autism Diagnostic Interview-Revised questionnaire and age-matched, nonautistic controls. Statistical analyses of gene expression data from control LCL against that of LCL from ASD probands identify genes for which expression levels are either quantitatively or qualitatively associated with phenotypic severity. Comparison of the significant differentially expressed genes from each subgroup relative to the control group reveals differentially expressed genes unique to each subgroup as well as genes in common across subgroups. Among the findings unique to the most severely affected ASD group are genes that regulate circadian rhythm, which has been shown to have multiple effects on neurological as well as metabolic functions commonly dysregulated in autism. Among the genes common to all 3 subgroups of ASD are 5 novel genes which appear to associate with androgen sensitivity, which may underlie the strong 4:1 bias towards affected males.
2009-12-22 | GSE15402 | 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.
2017-04-07 | E-MTAB-5665 | biostudies-arrayexpress
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.
2017-04-07 | E-MTAB-5672 | biostudies-arrayexpress
Project description:Using DNA microarray as a global approach to understanding the molecular basis of autism, we examined gene expression profiling in peripheral blood from 21 young adults with autism spectrum disorder (ASD) and healthy mothers having children with ASD, between whom there was no blood relationship. Several genes which were significantly changed in the ASD group comparing with their age- and gender-matched healthy subjects were mainly involved in cell morphology, cellular assembly and organization, and nerve system development and function. In addition, mothers having children with ASD possessed a unique gene expression signature shown as significant alterations of protein synthesis despite of their nonautistic diagnostic status. Moreover, an ASD-associated gene expression signature was commonly observed in both individuals with ASD and healthy mothers having children with ASD. Total RNA was prepared from venous blood which was taken from each subject. Gene expression profiling of venous blood from subjects with ASD (21), the healthy women who had children with ASD (21) and their age- and gender-matched healthy subjects (42) were obtained using a whole human genome oligonucleotide microarray (Agilent 44K Human whole genome array G4112F, GPL6480) to measure gene expression in these samples according to the manufacture’s protocol. The one GSM sample of microarray analysis was made by individual subject. Differentially expressed genes were determined across all rationed expression values for age- and gender-matched pairs (ASD vs. control, asdMO vs. ctrlMO) using Genespling analysis.
2011-01-13 | E-GEOD-26415 | biostudies-arrayexpress