An international team, led by researchers from the University of
California, San Diego School of Medicine, has discovered that "random"
mutations in the genome are not quite so random after all. Their study,
to be published in the journal Cell on December 21, shows that
the DNA sequence in some regions of the human genome is quite volatile
and can mutate ten times more frequently than the rest of the genome.
Genes that are linked to autism and a variety of other disorders have a
particularly strong tendency to mutate.
Clusters of mutations or "hotspots" are not unique to the autism
genome but instead are an intrinsic characteristic of the human genome,
according to principal investigator Jonathan Sebat, PhD, professor of
psychiatry and cellular and molecule medicine, and chief of the Beyster
Center for Molecular Genomics of Neuropsychiatric Diseases at UC San
Diego.
"Our findings provide some insights into the underlying basis of
autism -- that, surprisingly, the genome is not shy about tinkering with
its important genes" said Sebat. "To the contrary, disease-causing
genes tend to be hypermutable."
Sebat and collaborators from Rady Children's Hospital-San Diego and
BGI genome center in China sequenced the complete genomes of identical
twins with autism spectrum disorder and their parents. When they
compared the genomes of the twins to the genomes of their parents, the
scientists identified many "germline" mutations (genetic variants that
were present in both twins but not present in their mother or father).
Nearly 600 germline mutations -- out of a total of 6 billion base
pairs -- were detected in the 10 pairs of identical twins sequenced in
the study. An average of 60 mutations was detected in each child.
"The total number of mutations that we found was not surprising,"
said Sebat, "it's exactly what we would expect based on the normal human
mutation rate." What the authors did find surprising was that mutations
tended to cluster in certain regions of the genome. When the scientists
looked carefully at the sites of mutation, they were able to determine
the reasons why some genomic regions are "hot" while other regions are
cold.
"Mutability could be explained by intrinsic properties of the
genome," said UC San Diego postdoctoral researcher Jacob Michaelson,
lead author of the study. "We could accurately predict the mutation rate
of a gene based on the local DNA sequence and its chromatin structure,
meaning the way that the DNA is packaged."
The researchers also observed some remarkable examples of mutation
clustering in an individual child, where a shower of mutations occurred
all at once. "When multiple mutations occur in the same place, such an
event has a greater chance of disrupting a gene," said Michaelson.
The researchers surmised that hypermutable genes could be relevant to
disease. When they predicted the mutation rates for genes, the authors
found that genes that have been linked to autism were more mutable than
the average gene, suggesting that some of the genetic culprits that
contribute to autism are mutation hotspots.
The authors observed a similar trend for other disease genes. Genes
associated with dominant disorders tended to be highly mutable, while
mutation rates were lower for genes associated with complex traits.
"We plan to focus on these mutation hotspots in our future studies,"
said Sebat. "Sequencing these regions in larger numbers of patients
could enable us to identify more of the genetic risk factors for
autism."
Journal Reference:
- Jacob J. Michaelson, Yujian Shi, Madhusudan Gujral, Hancheng Zheng, Dheeraj Malhotra, Xin Jin, Minghan Jian, Guangming Liu, Douglas Greer, Abhishek Bhandari, Wenting Wu, Roser Corominas, Áine Peoples, Amnon Koren, Athurva Gore, Shuli Kang, Guan Ning Lin, Jasper Estabillo, Therese Gadomski, Balvindar Singh, Kun Zhang, Natacha Akshoomoff, Christina Corsello, Steven McCarroll, Lilia M. Iakoucheva, Yingrui Li, Jun Wang, Jonathan Sebat. Whole-Genome Sequencing in Autism Identifies Hot Spots for De Novo Germline Mutation. Cell, 2012; 151 (7): 1431 DOI: 10.1016/j.cell.2012.11.019
Courtesy: ScienceDaily
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