Infant siblings and the investigation of autism risk factors

Craig J Newschaffer1, Lisa A Croen, M Daniele Fallin

  • 1Department of Epidemiology and Biostatistics, Drexel School of Public Health, 1505 Race Street, Mail Stop 1033, Philadelphia, PA 19102, USA. nllee@drexel.edu.

Insights

Infant sibling studies offer new insights into autism spectrum disorders (ASD). Shifting enrollment to conception enables studying early risk factors and biomarkers for ASD development.

Area of Science:

  • Neurodevelopmental Disorders
  • Genetics and Etiology of Autism Spectrum Disorders
  • Developmental Psychology

Background:

  • Infant sibling studies are crucial for understanding early signs of autism spectrum disorders (ASD).
  • These studies have significant potential for advancing research into the causes of ASD.
  • Current research focuses on identifying genetic and environmental risk factors for ASD.

Purpose of the Study:

  • To review the enriched-risk pregnancy cohort approach for studying infant siblings in the context of ASD etiology.
  • To discuss the key features and implementation of this advanced research design.
  • To describe the Early Autism Risk Longitudinal Investigation (EARLI) study as a model for this approach.

Main Methods:

  • Reconfiguring traditional sibling studies into enriched-risk pregnancy cohorts.
  • Enrolling participants from conception through the neonatal period.
  • Conducting close developmental follow-up of at-risk infants through the third year of life.

Main Results:

  • This approach allows for optimal study of risk factors and biomarkers during critical prenatal and early postnatal periods.
  • It provides a powerful design for investigating the developmental trajectory of ASD.
  • The EARLI study serves as a practical example of implementing this methodology.

Conclusions:

  • The enriched-risk pregnancy cohort approach significantly enhances the potential of infant sibling studies for ASD research.
  • This methodology is vital for unraveling the complex etiologic mechanisms of ASD.
  • Early identification of risk factors through this approach can inform future interventions for ASD.

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