Clinical Assessment, Genetics, and Treatment Approaches in Autism Spectrum Disorder (ASD)

Ann Genovese1, Merlin G Butler1

  • 1Department of Psychiatry & Behavioral Sciences, University of Kansas Medical Center, Kansas City, KS 66160, USA.

Insights

Autism spectrum disorder (ASD) is a complex neurodevelopmental condition influenced by genetics and environment. Research highlights multifactorial causes and personalized treatment approaches for ASD, improving diagnosis and care.

Area of Science:

  • Neuroscience
  • Genetics
  • Developmental Pediatrics

Background:

  • Autism spectrum disorder (ASD) is a neurodevelopmental condition affecting communication, social interaction, and behavior.
  • ASD prevalence is increasing, attributed to enhanced diagnostic methods and awareness.
  • Genetic and metabolic factors play a significant role in ASD causation.

Purpose of the Study:

  • To review the contribution of genetic and metabolic factors in ASD etiology using advanced genetic technologies.
  • To discuss diagnostic evaluations, genetic testing, and treatment strategies, including pharmacogenetics.
  • To emphasize individualized, symptom-based treatment prioritization for ASD patients.

Main Methods:

  • Review of scientific literature on genetic and metabolic factors in ASD.
  • Analysis of new genetic technologies for identifying causative genes and variants.
  • Discussion of diagnostic criteria, genetic evaluation, and pharmacogenetic approaches.

Main Results:

  • Genetic syndromes or chromosomal abnormalities account for up to 40% of ASD diagnoses.
  • High heritability (70-90%) contrasts with a lower-than-expected molecular diagnostic yield.
  • Multifactorial causation involving numerous genes, environmental factors, and epigenetics is proposed.

Conclusions:

  • ASD etiology is complex and heterogeneous, involving intricate genetic-environment interactions.
  • Personalized treatment plans are crucial, tailored to individual diagnosis, comorbidities, and symptom severity.
  • Pharmacogenetics offers potential for optimizing medication selection in ASD management.

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