Genomic Technology Reveals Hundreds of Autism Gene Mutations
Genomic technology has revolutionized gene discovery and disease understanding in autism, according to an article published in today's issue of the journal Neuron.
The paper highlights the impact of a genomic technology called high-throughput sequencing (HTS) in discovering numerous new genes that are associated with autism spectrum disorder (ASD).
"These new discoveries using HTS confirm that the genetic origins of autism are far more complex than previously believed," says Joseph Buxbaum, Director of the Seaver Autism Center at the Icahn School of Medicine at Mount Sinai, and lead author of the article in Neuron.
Buxbaum is co-founder and co-director of the Autism Sequencing Consortium (ASC), a large multisite collaboration which is a model for future research. The co-authors of the article are Mark Daly, Broad Institute and Harvard Medical School; Bernie Devlin, Univ. of Pittsburgh; Thomas Lehner, National Institute of Mental Health; Kathryn Roeder, Carnegie-Mellon Univ.; Matthew State (co-director), Yale Univ., and the ASC.
HTS is a revolutionary new technology that allows scientists to obtain the sequence of all 22,000 human genes and the entire human genome in one experiment. This provides an unparalleled look at an individual's genetic makeup and allows for gene discovery and for genetic testing.
"HTS shows us that there are not just a few mutations, but potentially hundreds of mutations that are linked to autism," says Buxbaum. "By identifying the many genetic roots of this disorder, we can better understand its biology, which in turn will allow us to develop more tailored treatments for individuals. It is a transformative time for genetic research in autism."
Ground-breaking, highly reproducible discoveries identified through HTS described in the article include:
- the "staggering degree" of genetic heterogeneity in autism, which means that many individuals with autism do not share similar gene mutations;
- the identification of an increasing number of specific genes and chromosomal intervals conferring risk;
- the important emerging role in autism of both rare and "de novo germline mutations," or mutations developed in the sperm or ovaries of parents and passed on to children; and
- gene loci associated with autism that overlap with gene loci associated with other illnesses, such as intellectual disability and epilepsy.
Buxbaum estimates that researchers have already identified 50 specific genes and 20-40 chromosomal loci conferring risk. The researchers predict, based on the first studies in 1,000 families, that there are many hundreds of undiscovered ASD associated genes. This surge in the number of genes related to autism revealed by HTS marks a coming of age for high-throughput sequencing, the authors believe. The path forward for new discoveries, they write, is via one of two HTS processes: whole exome sequencing (WES) or whole genome sequencing (WGS) in large cohorts. The exome is the small fraction of the genome that codes for proteins.
The article spotlights the successful work of the ASC, founded in 2010, as a model to bring to fruition an explosive gene discovery process. The ASC member sites, using WES technology also available at Mount Sinai, recently discovered six de novo mutations in autism patients: CHD8, DYRK1A, GRIN2B, KATNAL2, POGZ and SCN2A. These six genes may be targets for future treatments. Some of these discoveries were accomplished rapidly because the Consortium's 25 research groups, located around the world, combined their data and shared it before publication. As a result, they conducted four large studies using 1,000 families.
There are approximately 8,000 to 10,000 families currently available to the Consortium to study autism, but the article suggests many more are needed to speed up gene discoveries. Also needed for the future is increased collaboration among research teams and the integration of autism studies with studies of other psychiatric disorders. In addition, high-capacity supercomputers are needed to analyze the data. The ASC was designed to address these issues, and Mount Sinai has created Minerva, one of the largest academic supercomputers in the world, to help with these goals.