Dataset Information

Investigation the Relationship of Autism Spectrum Disorder and FOXP2, GRIN2B, KATNAL2, GABRA4 Genes.

ABSTRACT:

Introduction

Autism spectrum disorder is a genetically and phenotypically heterogeneous group. Genetic studies carried out to date have suggested that both common and rare genetic variants play a role in the etiology of this disorder. In our study, we aimed to investigate the effect of FOXP2, GRIN2B, KATNAL2 and GABRA4 gene variants in the pathogenesis of autism spectrum disorder.

Method

In our prospectively planned study, all exons and exon-intron junctions of FOXP2, GRIN2B, KATNAL2 and GABRA4 genes were screened by next generation sequencing analysis in 96 patients who diagnosed with autism spectrum disorder.

Results

In our study, the average age was 10.1 and the male/female ratio was 75/21. Pathogenic or likely pathogenic variants were not detected in FOXP2, GRIN2B, KATNAL2 and GABRA4 genes, however, 69 intronic variants of unknown clinical significance were detected in 50 cases (52%). Among those, 26 were in the GABRA4 gene, 22 in the FOXP2 gene, 13 in the KATNAL2 gene, and 8 in the GRIN2B gene. Twenty three of these 69 variants were novel that were not previously reported in the literature.

Conclusion

In our study, we could not identify a relationship between the autism spectrum disorder and FOXP2, GRIN2B, KATNAL2 and GABRA4 genes. Identifying genetic risk factors that play a role in the etiopathogenesis of autism spectrum disorder will contribute significantly to understanding the molecular mechanisms of the disease and the development of new treatment strategies. In this context, comprehensive molecular genetic studies such as whole exome or whole genome sequencing are required with higher number of cases in different populations.

SUBMITTER: Yalcintepe S

PROVIDER: S-EPMC8419723 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:BACKGROUND:Studies of individuals with autism spectrum disorder (ASD) have revealed a strong multigenic basis with the identification of hundreds of ASD susceptibility genes. ASD is characterized by social deficits and a range of other phenotypes, implicating complex genetics and involvement of a variety of brain regions. However, how mutations and mis-expression of select gene sets are associated with the behavioral components of ASD remains unknown. We reasoned that for genes to be associated with ASD core behaviors they must be: (1) expressed in brain regions relevant to ASD social behaviors and (2) expressed during the ASD susceptible window of brain development. METHODS:Focusing on the amygdala, a brain region whose dysfunction has been highly implicated in the social component of ASD, we mined publicly available gene expression databases to identify ASD-susceptibility genes expressed during human and mouse amygdala development. We found that a large cohort of known ASD susceptibility genes is expressed in the developing human and mouse amygdala. We further performed analysis of single-nucleus RNA-seq (snRNA-seq) data from microdissected amygdala tissue from five ASD and five control human postmortem brains ranging in age from 4 to 20?years to elucidate cell type specificity of amygdala-expressed genes and their dysregulation in ASD. RESULTS:Our analyses revealed that of the high-ranking ASD susceptibility genes, 80 are expressed in both human and mouse amygdala during fetal to early postnatal stages of development. Our human snRNA-seq analyses revealed cohorts of genes with altered expression in the ASD amygdala postnatally, especially within excitatory neurons, with dysregulated expression of seven genes predicted from our datamining pipeline. LIMITATIONS:We were limited by the ages for which we were able to obtain human tissue; therefore, the results from our datamining pipeline approach will require validation, to the extent possible, in human tissue from earlier developmental stages. CONCLUSIONS:Our pipeline narrows down the number of amygdala-expressed genes possibly involved in the social pathophysiology of ASD. Our human single-nucleus gene expression analyses revealed that ASD is characterized by changes in gene expression in specific cell types in the early postnatal amygdala.