Jiayao Wang

This study identifies brain circuits and cell types affected by ASD mutations using a computational approach integrating genetic data with spatial transcriptomics and connectome data.

The paper identifies CGE-derived GABAergic interneurons as a key target of rare mutations linked to cognitive deficits in ASD and SCZ using human and mouse models.

The paper shows that truncating mutations affecting the same exon in autism lead to similar intellectual phenotypes, suggesting exons, not genes, are units of phenotypic impact.

The paper develops a framework for de novo variant identification using FreeBayes and a neural network, achieving high accuracy in SNVs and indels through validation with Sanger sequencing.

The paper identifies two new risk genes for idiopathic pulmonary arterial hypertension through exome sequencing of 2,572 individuals.