Autism risk framework tracks genes, maternal factors and environment across 18,000 families
Medical Xpress
Last updated: June 5, 2026
A new statistical framework developed by Johns Hopkins University researchers enhances the understanding of autism risk by integrating genetic predispositions with environmental and familial factors. This approach allows for a more comprehensive analysis of autism risk in children by considering their DNA, parental influences, and maternal lifestyle, addressing limitations of previous genetic risk scores that showed reduced accuracy in non-European populations.
- Researchers analyzed over 18,000 case-parent trios, revealing that existing genetic risk scores are less effective for individuals of African ancestry. The study identified that maternal genetic susceptibility for traits like obesity and certain neurocognitive characteristics, alongside pregnancy complications, can elevate a child's autism risk, compounding genetic predispositions. The developed framework offers novel insights into gene-environment interactions for developmental conditions.
- The framework is expected to enable new studies and analyses using family data to better understand the genetic basis and gene-environment interactions for developmental conditions like autism. Future plans include expanding analysis to broader family structures and unifying findings with population-based studies. The study emphasizes the need for diverse population data, particularly from African ancestry, to create more universally applicable genetic scores.
- While maternal genetic susceptibility for non-autism traits is linked to autism risk, researchers caution that study design biases may influence these findings, requiring further validation. Efforts are underway to compile diverse population data to develop separate genetic scores for children and adults for various health conditions and biomarkers, which will aid in testing hypotheses about genes and environments.
