Genome-wide study of autism published in Nature

Oct 07, 2009 By Nicole Davis
Genome-wide study of autism published in Nature
Image by Broad Communications, courtesy of iStockPhoto

(PhysOrg.com) -- In one of the first studies of its kind, an international team of researchers has uncovered a single-letter change in the genetic code that is associated with autism. The finding, published in the October 8 issue of the journal Nature, implicates a neuronal gene not previously tied to the disorder and more broadly, underscores a role for common DNA variation. In addition, the new research highlights two other regions of the genome, which are likely to contain rare genetic differences that may also influence autism risk.

"These discoveries are an important step forward, but just one of many that are needed to fully dissect the complex genetics of this disorder, " said Mark Daly, one of the study's senior authors, a senior associate member at the Broad Institute of Harvard and MIT and an associate professor at the Center for Human Genetic Research at Massachusetts General Hospital (MGH). "The genomic regions we've identified help shed additional light on the biology of autism and point to areas that should be prioritized for further study."

"The biggest challenge to finding the genes that contribute to autism is having a large and well studied group of patients and their family members, both for primary discovery of genes and to test and verify the discovery candidates," said Aravinda Chakravarti, professor of medicine, pediatrics and and genetics at the McKusick-Nathans Institute of at Johns Hopkins, and one of the study's senior authors. "This latest finding would not have been possible without these many research groups and consortia pooling together their patient resources. Of course, they would not have been possible without the genomic scanning technologies either."

Autism is a common characterized by impaired social, behavioral and communication abilities. Compared to other complex diseases, which are caused by a complicated mix of genetic, environmental and other factors, autism is highly heritable — roughly 90% of the disorder is thought to be genetic in origin. Yet the majority of autism cases cannot be attributed to known inherited causes.

Modern approaches that harness genome-scale technologies have begun to yield some insights into autism and its genetic underpinnings. However, the relative importance of common genetic variants, which are generally present in the human population at a frequency of about 5%, as well as other forms of genetic variation, remains an unresolved question.

To more deeply probe autism's complex genetic architecture, a large multinational collaboration led by researchers at the Broad Institute of Harvard and MIT, Massachusetts General Hospital, Johns Hopkins University and elsewhere devised a two-pronged, genome-scale approach. The first component makes use of a family-based method (called "linkage") that analyzes DNA from autism patients and their family members to detect portions of the genome that harbor rare but high-impact DNA variants. The second harnesses a population-based method (known as "association") that examines DNA from unrelated individuals and can expose common genetic variants associated with autism and which tend to exert more modest effects.

"Given the genetic complexity of autism, it's unlikely that a single method or type of genomic variation is going to provide us with a complete picture," said Daly. "Our approach of combining multiple complementary methods aims to meet this critical challenge."

For their initial studies, the researchers examined roughly half a million genetic markers in more than 1,000 families from the Autism Genetic Resource Exchange (AGRE) and the US National Institute of Mental Health (NIMH) repositories. Follow-up analyses were conducted in collaboration with the Autism Genome Project as well as other international groups. "We are deeply grateful to all of the patients and their families who made this work possible," said Daly.

The researchers' results highlight three regions of the human genome. These include parts of chromosomes 6 and 20, the top-scoring regions to emerge from the family-based linkage studies. Although further research is needed localize the exact causal changes and genes within these regions that contribute to autism, these findings can help guide future work.

The other major result, this one flowing from the population-based analyses, is a single-letter change in the known as a single nucleotide polymorphism, or SNP (pronounced "snip"). This common variant lies on chromosome 5 near a gene known as semaphorin 5A, which is thought to help guide the growth of neurons and their long projections called axons. Notably, the activity or "expression" of this gene appears to be reduced in the brains of autism patients compared to those without the disorder.

"These genetic findings give us important new leads to understand what's different in the developing autistic brain compared with typical neurodevelopment. We can now begin to explore the pathways in which this novel gene acts, expanding our knowledge of autism's biology," said co-lead author Lauren Weiss, a former postdoctoral fellow who collaborated with Daly and his colleagues at MGH and the Broad Institute. Weiss is now an assistant professor of psychiatry and human genetics at University of California, San Francisco (UCSF).

Although the Nature paper identifies a handful of new genes and genomic regions, the researchers emphasize that the findings are just one piece of a very large — and mostly unfinished — puzzle. Future studies involving larger patient cohorts and higher resolution genomic technologies, such as next-generation DNA sequencing, promise to yield a deeper understanding of autism and its complex genetic roots.

More information: Weiss LA, Arking DE, The Gene Discovery Project of Johns Hopkins & the Autism Consortium. A genome-wide linkage and association scan reveals novel loci for . Nature DOI:10.1038/nature08490

Source: Broad Institute of MIT and Harvard

Explore further: Scientists develop genome-wide mutation hunting computational software for genomic medicine

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