Integration of Transcriptome and Exome Genotyping Identifies Significant Variants with Autism Spectrum Disorder.
Noor Barak AlmandilAbdulla AlsulaimanSumayh A AldakeelDeem N AlkuroudHalah Egal AljofiSafah AlzahraniAishah Al-ManaAsma A AlfuraihMajed AlabdaliFahd A AlkhamisSayed AbdulazeezJesu Francis BorgioPublished in: Pharmaceuticals (Basel, Switzerland) (2022)
Autism is a complex disease with genetic predisposition factors. Real factors for treatment and early diagnosis are yet to be defined. This study integrated transcriptome and exome genotyping for identifying functional variants associated with autism spectrum disorder and their impact on gene expression to find significant variations. More than 1800 patients were screened, and 70 (47 male/23 female) with an average age of 7.56 ± 3.68 years fulfilled the DSM-5 criteria for autism. Analysis revealed 682 SNPs of 589 genes significantly ( p < 0.001) associated with autism among the putative functional exonic variants ( n = 243,345) studied. Olfactory receptor genes on chromosome 6 were significant after Bonferroni correction (α = 0.05/243345 = 2.05 × 10 -7 ) with a high degree of linkage disequilibrium on 6p22.1 ( p = 6.71 × 10 -9 ). The differentially expressed gene analysis of autistic patients compared to controls in whole RNA sequencing identified significantly upregulated (foldchange ≥0.8 and p -value ≤ 0.05; n = 125) and downregulated (foldchange ≤-0.8 and p -value ≤ 0.05; n = 117) genes. The integration of significantly up- and downregulated genes and genes of significant SNPs identified regulatory variants (rs6657480, rs3130780, and rs1940475) associated with the up- ( ITGB3BP ) and downregulation ( DDR1 and MMP8 ) of genes in autism spectrum disorder in people of Arab ancestries. The significant variants could be a biomarker of interest for identifying early autism among Arabs and helping to characterize the genes involved in the susceptibility mechanisms for autistic subjects.
Keyphrases
- genome wide
- copy number
- dna methylation
- autism spectrum disorder
- gene expression
- end stage renal disease
- intellectual disability
- chronic kidney disease
- ejection fraction
- newly diagnosed
- attention deficit hyperactivity disorder
- single cell
- genome wide identification
- peritoneal dialysis
- prognostic factors
- patient reported outcomes
- bioinformatics analysis
- signaling pathway
- working memory
- smoking cessation
- combination therapy