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Related Concept Videos

Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

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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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Autism Spectrum Disorder01:19

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Autism spectrum disorder (ASD) is a neurodevelopmental condition marked by persistent deficits in social communication and interaction alongside restrictive and repetitive behaviors or interests. ASD is sometimes accompanied by intellectual impairment.
These core symptoms manifest differently among individuals, ranging from mild to severe. The disorder's complexity extends beyond its clinical presentation, encompassing a diverse range of biological, cognitive, and sociocultural influences.
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Related Experiment Video

Updated: May 22, 2025

Author Spotlight: Exploring Autism Spectrum Disorder Symptoms in Fruit Flies &#8212; Genetic Models and Behavioral Tests
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A Systems Biology Approach for Prioritizing ASD Genes in Large or Noisy Datasets.

Veronica Remori1, Heather Bondi1, Manuel Airoldi1

  • 1Department of Science and High Technology, University of Insubria, 22100 Como, Italy.

International Journal of Molecular Sciences
|March 13, 2025
PubMed
Summary
This summary is machine-generated.

A systems biology approach identified novel autism spectrum disorder (ASD) candidate genes by analyzing protein-protein interactions. This method prioritizes genes, offering new insights into the complex genetic underpinnings of ASD.

Keywords:
autismbetweenness centralitygene prioritizationprotein–protein interaction networksystems biology

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Area of Science:

  • Genetics
  • Systems Biology
  • Neurodevelopmental Disorders

Background:

  • Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder with an incompletely understood genetic architecture.
  • Current genetic studies like GWAS and CNV analysis have not fully elucidated the genetic landscape of ASD.

Purpose of the Study:

  • To develop and apply a systems biology approach for prioritizing genes associated with ASD.
  • To identify potential novel candidate genes contributing to ASD etiology.
  • To explore the utility of this approach in analyzing large and complex genetic datasets.

Main Methods:

  • Construction of a Protein-Protein Interaction (PPI) network using genes linked to ASD from public databases.
  • Prioritization of genes based on topological properties, specifically betweenness centrality.
  • Integration and analysis of genes within Copy Number Variants (CNVs) from ASD patient data onto the PPI network.

Main Results:

  • Identification of potential novel ASD candidate genes, including CDC5L, RYBP, and MEOX2, through network analysis.
  • Prioritized gene lists were generated by ranking genes based on their betweenness centrality scores.
  • Over-representation analysis revealed significant enrichment in pathways such as ubiquitin-mediated proteolysis and cannabinoid receptor signaling, suggesting their potential involvement in ASD.

Conclusions:

  • The developed systems biology approach is a promising strategy for identifying ASD risk genes, particularly from large and complex genetic datasets.
  • This method enhances the understanding of the intricate genetic basis of autism spectrum disorder.
  • The findings suggest potential roles for non-canonical pathways in ASD pathogenesis.