New Genetic Pieces Found in Autism Puzzle
Analytic Methods Combined to Trace Rare and Common Factors of Disease Susceptibility
“Why does my child have autism?” It’s a question parents have long been asking doctors. While the clinical features of this brain development disorder are well known, its genetic underpinnings are not.
In one of the most comprehensive studies of autism to date, an international team led by investigators at Harvard, MIT and Johns Hopkins identified three new sites of DNA variation in autism. One was a common single letter variation in the genetic code.
Armed with data from more than 1,000 patient families and improved technologies for combing through the genome, the researchers brought together two different analytic approaches to search for both common and rare genetic variations in the disease. Two rarer variants, on chromosomes 6 and 20, were identified in addition to the single letter difference, which appears on chromosome 5 and reflects variation in a gene called SEMA5A, active in nerve cells. Importantly, the team discovered that their findings correlated with a putative functional difference in the autistic brain: the protein product of the SEMA5A gene is diminished in brains of autism patients.
The three newly identified sites add to earlier findings by the team, revealing structural variants on chromosome 16 that were associated with autism in the same set of patient data. Upon further unraveling, this constellation of genetic clues will likely advance the understanding of autism biology. The multipronged analytic approach of the study may also be useful in investigating the genetics of other complex diseases that can be inherited.
“The best opportunity we have is to study families with multiple affected offspring,” Daly explained. Such data allows for analysis of both rare and common genetic factors.
The regions on chromosomes 6 and 20 were identified by linkage analysis, a method comparing afflicted and nonafflicted members of individual families. The SEMA5A gene was identified by genomewide association, a method making comparisons across families.
The combined linkage and association approach “hasn’t been done often,” Daly said, but “it’s not a novel concept.” The purpose is simply to increase the chance of identifying DNA variants of different frequencies that contribute to the disorder.
“We need to understand the full frequency spectrum,” explained Aravinda Chakravarti, also a senior author and director of the Center for Complex Disease Genomics at Johns Hopkins University School of Medicine. “This autism study was an exemplar of what we can find both by linkage and association in families.”
In addition to this combined analytic approach, the record number of autism families with genetic data, recent strides in genomics technology, and the availability of higher resolution DNA-scanning methods all contributed to the scope of the study.
Right now there are not enough genes identified in autism to formulate a clear hypothesis about the biology of the disorder. “We have so many more genes to discover than the few that we’ve actually put our hands on,” Daly said, “We’re very much at the beginning.”
How will researchers know when they have finally identified enough genes?
“When the genetic findings are true enough and numerous enough that they start identifying significant, statistically robust connections in … other datasets,” Daly said, referring to sets of biological data gathered independently of genetic studies. “Then we’ll recognize that we’re deriving biological insight from the genetic studies.”
The research appears in the Oct. 8 issue of the journal Nature, with co–first authors Lauren Weiss of Harvard and MIT and Dan Arking of Johns Hopkins.
Students may contact Beth Luise, administrative assistant for Mark Daly, at email@example.com for more information.
Conflict Disclosure: Mark Daly declares no conflicts of interest. Aravinda Chakravarti is a paid member of the scientific advisory board of Affymetrix, Inc., a relationship managed under conflict-of-interest rules at Johns Hopkins University.
Funding Sources: Work in Mark Daly’s lab was supported by the Autism Consortium and the Simons Foundation. In Aravinda Chakravarti’s lab, work was supported by the National Institute of Mental Health and the Simons Foundation. The authors are solely responsible for the content of this work.
Copyright 2009 by the President and Fellows of Harvard College