Researchers uncover new tools for targeting genes linked to autism

June 21st, 2012 in Genetics /

UCLA researchers have combined two tools – gene expression and the use of peripheral blood -- to expand scientists' arsenal of methods for pinpointing genes that play a role in autism. Published in the June 21 online edition of the American Journal of Human Genetics, the findings could help scientists zero in on genes that offer future therapeutic targets for the disorder.

"Technological advances now allow us to rapidly sequence the genome and uncover dozens of rare mutations," explained principal investigator Dr. Daniel Geschwind, the Gordon and Virginia MacDonald Distinguished Professor of Human Genetics and a professor of neurology at the David Geffen School of Medicine at UCLA. "But just because a particular genetic mutation is rare doesn't mean it's actually causing disease. We used a new approach to tease out potential precursors of autism from the occasional genetic glitch."

Geschwind and his colleagues studied DNA contained in blood samples from 244 families with one healthy child and one child on the autism spectrum. The team used a hybrid method that blended tests that read the order of DNA bases with those that analyze gene expression, the process by which genes make cellular proteins.

"Monitoring gene expression provides us with another line of data to inform our understanding of how autism develops," said Geschwind, who is also director of the Center for Autism Research and Treatment at the Semel Institute for Neuroscience and Behavior at UCLA. "Integrating this method with the sequencing of DNA bases expands our ability to find mutations leading to the disease."

Gene expression offers a molecular signpost pointing scientists in the right direction by narrowing the field and highlighting specific areas of the genome. For example, if a gene is expressed at substantially higher or lower levels in a patient, researchers will review the patient's DNA to check if that gene has changed.

"We found that we can use gene expression to help understand whether a rare mutation is causing disease or playing a role in disease development," said Geschwind. "A true mutation will alter a gene's sequence, modifying the protein or RNA it produces -- or preventing the gene from producing them entirely.

"A gene mutation accompanied by a change in expression clues us to a hot spot on the genome and directs us where to look next," he added. "Not all mutations will influence gene expression, but this approach improves our ability to pinpoint those that do."

The researchers used the combined method to prioritize gene targets that merit closer investigation, potentially explaining why one person develops autism and their sibling does not.

Their search turned up new regions in the genome where genetic variations showed strong links to autism and altered expression patterns. Genes in these regions were more likely to be mutated in the autistic children than in their unaffected siblings.

"When we looked at genes associated with nervous-system function we found significantly more genes were expressed at higher or lower levels in the children diagnosed with autism than we did in their siblings unaffected by the disorder," said Geschwind.

Finally, the research team discovered that the DNA contained in peripheral blood can help shed light on diseases of the central nervous system. Brain cells and related to synaptic function are expressed in the blood, offering a window into .

"Brain tissue from people with is not readily available for study, and some people are reluctant to use non-neural tissue in psychiatric disease," explained Geschwind. "But our study demonstrates that even peripheral blood can expand our knowledge of neurological disease."

The team's next step will be to replicate their findings in a larger population.

Provided by University of California, Los Angeles

"Researchers uncover new tools for targeting genes linked to autism." June 21st, 2012. http://medicalxpress.com/news/2012-06-uncover-tools-genes-linked-autism.html