Researchers have analyzed more than 90,000 exomes — the protein-coding regions of the genome — the largest such set yet, they announced Monday at the American Society of Human Genetics Annual Meeting in San Diego. The resource gives scientists an invaluable tool to probe the significance of specific mutations.

A new online database called Braineac details how variations in DNA sequence shape gene expression in the human brain.

Researchers have sequenced the whole genomes of 1,000 people with autism and their parents, they announced yesterday at the American Society of Human Genetics Annual Meeting in San Diego. These sequences, and another 1,000 that are on the way, will eventually be freely available online.

A new online resource called MouseID Genes stores information about gene interactions in the developing mouse brain and spinal cord.

The University of California has launched an ambitious 18-month project to connect autism researchers across its ten campuses.

A new method of statistical analysis can predict whether a rare mutation identified in someone with autism has a meaningful association with the disorder or was found only by chance, researchers reported in the September issue of Nature Genetics.

A new computational model predicts the sites in the brain of 64 types of neurons, researchers reported 8 April in Proceedings of the National Academy of Sciences.

Researchers have sequenced hundreds of human and mouse genomes to generate an atlas of more than 200,000 regions that regulate gene expression, they reported 27 March in Nature.

A new statistical system ranks the potential harm done by each of the nearly 9 billion possible variants in the human genome, researchers reported in March in Nature Genetics.

An artificial-intelligence algorithm designed to analyze behavior has learned to recognize six genetic disorders associated with autism, according to a report published 11 February in Molecular Autism. The algorithm could be used to hone the search for autism’s genetic underpinnings.