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Novel correlative analysis identifies multiple genomic variations impacting ASD with macrocephaly.

Chen Fu1, Justine Ngo1, Shanshan Zhang1

  • 1Department of Genetics and Genomic Science, Case Western Reserve University School of Medicine, Cleveland, OH 44106, USA.

Human Molecular Genetics
|December 15, 2022
PubMed
Summary

Genomic variations in autism spectrum disorder (ASD) show unique correlations between gene ontologies (GOs). This study reveals novel co-occurrence patterns important for ASD etiology, particularly in ASD with macrocephaly.

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Area of Science:

  • Genetics
  • Neuroscience
  • Bioinformatics

Background:

  • Autism spectrum disorders (ASD) exhibit significant genetic and phenotypic heterogeneity, complicating research into causes and treatments.
  • Understanding the complex interplay of genomic variations within functional gene categories is crucial for deciphering ASD etiology.

Purpose of the Study:

  • To investigate the relationships between genomic variations across different gene ontologies (GOs) in individuals with ASD compared to controls.
  • To identify novel co-occurrence patterns of genomic variations within specific GOs associated with ASD, particularly in cases involving macrocephaly.

Main Methods:

  • Mapping multiple types of genomic variations to GOs in ASD and control cohorts.
  • Measuring correlations among GOs to identify significant associations.
  • Integrating gene ontology correlation analysis with experimental data, gene expression, and transcription factor binding data.

Main Results:

  • Several ASD-unique GO correlations were identified, highlighting the significance of co-occurring genomic variations in distinct functional gene categories.
  • Specific variations linked to WNT signaling, neuron development, synapse function, and organ morphogenesis were found to be important in ASD with macrocephaly.
  • Novel co-occurrence patterns of these variations were discovered in ASD patients.

Conclusions:

  • The co-occurrence of genomic variations across different functional gene categories plays a significant role in the etiology of ASD.
  • The developed gene ontology correlation analysis method provides new insights into ASD with macrocephaly and offers a novel approach for analyzing genomic variations.
  • This methodology can be extended to integrate gene expression and transcription factor binding data for a more comprehensive understanding of complex genetic disorders.