Researchers have identified four distinct subtypes of autism that display unique traits, symptoms, milestones, and genetic markers. This research was conducted using generative mixture modeling on data from over 5,000 children. The study reveals that each subtype possesses different patterns in symptom presentation and associated mental health challenges. This person-centered approach allows for a better understanding of autism beyond traditional core traits, potentially leading to improved diagnosis and personalized support for individuals on the autism spectrum.
A recent study identifies four distinct subtypes of autism, linking each to unique clusters of symptoms and genetic markers, thereby enhancing understanding of autism's complexity.
Using person-centered research, researchers found differing patterns of symptoms, developmental milestones, and mental health traits across the four newly identified autism subtypes.
The study involved analyzing behavioral and genetic data from over 5,000 children, leading to personalized approaches in autism diagnosis and support strategies.
This research marks a shift in autism studies from isolating individual genes to recognizing subtypes based on collective behavioral patterns.
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