Massive sequencing studies reveal key autism genes
Analyzing the sequences of more than 20,000 people, researchers have unearthed the largest and most robust list of autism genes so far, they reported today in Nature.
Analyzing the sequences of more than 20,000 people, researchers have unearthed the largest and most robust list of autism genes so far, they reported today in Nature.
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.
Combining analysis of large deletions or duplications in the genome with sequences from protein-coding regions can identify new syndromes, as well as the mutations that cause those disorders, according to a report published 14 September in Nature Genetics.
Hundreds of genes are linked to autism, but most have not been clearly characterized. ADNP is one of a small group of genes that, when mutated, seem to lead to autism in a substantial proportion of cases.
On 1 October, Mark Daly discussed new insights into autism from common and rare genetic variants. (Due to technical issues, the video replay for this webinar is unavailable.)
The University of California has launched an ambitious 18-month project to connect autism researchers across its ten campuses.
About 2 percent of people who have both autism and intellectual disability carry harmful mutations in SHANK3, a protein that helps organize the connections between neurons, according to a study published 4 September in PLoS Genetics.
A new algorithm accurately detects large DNA insertions and deletions in the protein-coding regions of the genome.