New genetic variant that causes autism identified by Johns Hopkins-led team

Researchers studied families severely affected by disorder

Using a novel approach that focuses on rare families severely affected by autism, a Johns Hopkins-led team of researchers has identified a new genetic cause of the disorder.

The rare genetic variant offers important insights into the root causes of autism, the researchers say. And, they suggest, their unconventional method can be used to identify other genetic causes of autism and other complex genetic conditions.

A report on the study was published today in the journal Nature.

In recent years, falling costs for genetic testing, together with powerful new means of storing and analyzing massive amounts of data, have ushered in the era of the genome-wide association and sequencing studies. These studies typically compare genetic sequencing data from thousands of people with and without a given disease to map the locations of genetic variants that contribute to the disease. While genome-wide association studies have linked many genes to particular diseases, their results have so far failed to lead to predictive genetic tests for common conditions, such as Alzheimer's, autism, or schizophrenia.

"In genetics, we all believe that you have to sequence endlessly before you can find anything," says Aravinda Chakravarti, a professor in the Johns Hopkins University School of Medicine's McKusick-Nathans Institute of Genetic Medicine. "I think whom you sequence is as important—if not more so—than how many people are sequenced."

With that idea, Chakravarti and his collaborators identified families in which more than one female has autism spectrum disorder, a condition first described at Johns Hopkins in 1943. For reasons that are not understood, girls are far less likely than boys to have autism. When girls do have the condition, however, their symptoms tend to be severe. Chakravarti reasoned that females with autism, particularly those with a close female relative who is also affected, must carry very potent genetic variants for the disease, and he wanted to find out what those were.

The research team compared the gene sequences of autistic members of 13 such families to the gene sequences of people from a public database. They found four potential culprit genes and focused on one, called CTNND2, because it fell in a region of the genome known to be associated with another intellectual disability. When they studied the gene's effects in zebrafish, mice, and cadaveric human brains, the research group found that the protein it makes affects how many other genes are regulated. The CTNND2 protein was found at far higher levels in fetal brains than in adult brains or other tissues, Chakravarti says, so it likely plays a key role in brain development.

While autism-causing variants in CTNND2 are very rare, Chakravarti says, the finding provides a window into the general biology of autism.

"To devise new therapies, we need to have a good understanding of how the disease comes about in the first place," he says. "Genetics is a crucial way of doing that."

Chakravarti's research group is now working to find the functions of the other three genes identified as possibly associated with autism. They plan to use the same principle to look for disease genes in future studies of 100 similar autism-affected families, as well as other illnesses.

"We've shown that even for genetically complicated diseases, families that have an extreme presentation are very informative in identifying culprit genes and their functions—or, as geneticists are taught, 'treasure your exceptions.'" Chakravarti says.

Other authors on the paper are Tychele N. Turner, Kamal Sharma, Maria X. Sosa, Dallas R. Auer, Stephan J. Sanders, Daniel Moreno-De-Luca, Vasyl Pihur, Christa Lese Martin, Matthew W. State, and Richard Huganir of The Johns Hopkins University; Edwin C. Oh, Yangfan P. Liu, and Nicholas Katsanis of Duke University; Ryan L. Collins, Harrison Brand, and Michael E. Talkowski of Massachusetts General Hospital and Harvard Medical School; Teri Plona, Kristen Pike, and Daniel R. Soppet of Leidos Biomedical Research; Michael W. Smith of the National Human Genome Research Institute; SauWai Cheung of Baylor College of Medicine; and Edwin Cook of the University of Illinois at Chicago.

This work was funded by grants from the Simons Foundation, the National Institute of Mental Health, and an Autism Speaks Dennis Weatherstone Predoctoral Fellowship.

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