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Genetics of autism spectrum disorders
1Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA. dhg@mednet.ucla.edu
Trends in Cognitive Sciences
|August 23, 2011
Summary
Autism spectrum disorder (ASD) is a neurodevelopmental syndrome with genetic links. Identifying ASD susceptibility genes reveals insights into its pathophysiology and shared features with other neurodevelopmental disorders.
Area of Science:
- Neurodevelopmental disorders
- Genetics and genomics
- Cognitive neuroscience
Background:
- Autism spectrum disorder (ASD) is a neurodevelopmental syndrome characterized by impairments in language, social cognition, and mental flexibility.
- While etiologically heterogeneous, recent genetic discoveries have identified dozens of ASD susceptibility genes, accounting for 10-20% of cases.
Purpose of the Study:
- To explore the genetic underpinnings of autism spectrum disorder (ASD).
- To investigate the role of identified susceptibility genes in ASD pathophysiology.
- To understand the shared neurobiological and cognitive features across neurodevelopmental disorders.
Main Methods:
- Utilized diverse genetic and genomic approaches.
- Analyzed identified ASD susceptibility genes.
- Examined biological pathways implicated in ASD and related disorders.
Main Results:
- Several dozen ASD susceptibility genes have been identified, highlighting the disorder's etiological heterogeneity.
- Evidence converges on the disruption of key biological pathways.
- These pathways are also implicated in other allied neurodevelopmental disorders.
Conclusions:
- Genetic findings provide crucial tools for understanding ASD pathophysiology.
- Gene identification aids in probing the specificity of ASD and shared features across neurodevelopmental disorders.
- The research aims to link genetic factors to brain circuits and cognitive function.
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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
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