This type of autism is not like the other – and here is data to show it

Identifying subtypes for autism and narrowing down the heterogeneity of symptoms has been considered the holy grail of autism research.  If one person with autism is not like another person with autism, can they at least be put into groups to speed up studies into causes, intervention and services?  And how?  This podcast explains two different studies that used the same statistical method but different children with autism to identify different groups.  One of the things that helped define these groups was verbal ability and IQ.  For the first time, comorbid symptoms like medical issues and psychiatric diagnoses  are being taken into account.  Already, this approach is helping scientists better understand why fever improves symptoms in some people with autism.

The IMFAR wrap-up titled “Heterogeneity in autism: we aren’t going to take it anymore”

This week’s International Meeting for Autism Research was filled with important presentations on the multiple causes of autism, interventions, diagnosis, neurobiology, services, family and self-advocate perspectives, the list goes on and on.  There is a great recap on  An underlying theme ran through the presentations.  That is, that the previous “well, we don’t see differences because there is lots of heterogeneity in autism” explanation isn’t cutting it anymore.  We know people with autism are different, and parents, self-advocates and researchers are starting to deal with it by stratifying groups by their genetic backgrounds.  While not a complete solution to this challenge, research at IMFAR shows that identifying different subgroups based on genetics is helping to explain symptoms.