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The long-standing link between maternal infection during pregnancy and having a child with autism may reflect common genetic or environmental factors instead.
The technique involves editing the cellular instructions to make MECP2 protein and partially restores its levels in the brainstem.
The machine-learning approach could help identify how brain structure differs between autistic and non-autistic infants, the researchers say.
A well-studied brain response to sound appears earlier than usual in young children with autism.
The prize recognizes Geschwind’s contributions to our understanding of autism genetics.
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