Betty Diamond reports on a method to isolate monoclonal brain-reactive antibodies from plasma obtained from mothers in the SSC, showing their in utero exposure can cause ASD.

Using sequencing data from the Simons Simplex Collection, Zhenglong Gu found an enrichment of predicted pathogenic mutations in mitochondrial DNA in autism.

Benjamin Cheyette finds higher rates of DIXDCI disruptions in individuals with ASD, schizophrenia or bipolar, and DIXDC1 signaling rescue improves mouse ASD-like behaviors.

Rudolf Jaenisch has developed a method enabling the generation of microglia-like cells from human embryonic stem cells and induced pluripotent stem cells.

Liqun Luo uses conditional, cell-type-specific RAI1 deletions in mice to assess how loss of RAI1 contributes to neurodevelopmental phenotypes in Smith-Magenis syndrome.

By assessing human accelerated regions (HARs) in healthy individuals and those with ASD, Chris Walsh shows HARs regulate human social and cognitive behavior and ASD risk.

Huda Zoghbi and Stelios Smirnakis investigate how opposing molecular deficits in MeCP2 duplication and Rett syndromes lead to similar behavioral phenotypes.

Simons Center for Data Analysis scientist Olga Troyanskaya has developed a machine-learning tool that uses neural interaction networks to predict autism risk genes.