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 | Professor Michael Snyder, graduate student Alex Eckehart Urban and postdoctoral fellow Jan Korbel examine the distribution of structural variation on a map of the human genome.
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Study sheds new light on genetic differences in humans
A study by Yale researchers offers a new view of what causes the greatest genetic variability among individuals — suggesting
that it is due less to single-point mutations than to the presence of structural
changes that cause extended segments of the human genome to be missing, rearranged
or present in extra copies.
“The focus for identifying genetic differences has traditionally been on
point mutations or SNPs — changes in single bases in individual genes,” says
Michael Snyder, the Cullman Professor of Molecular, Cellular & Developmental
Biology and senior author of the study, which was published in Science Express. “Our
study shows that a considerably greater amount of variation between individuals
is due to rearrangement of big chunks of DNA.”
Although the original human genome sequencing effort was comprehensive, it left
regions that were poorly analyzed. Recently, investigators found that even in
healthy individuals, many regions in the genome show structural variation. This
study was designed to fill in the gaps in the genome sequence and to create a
technology to rapidly identify structural variation between genomes at very high
resolution over extended regions.
“We were surprised to find that structural variation is much more prevalent
than we thought and that most of the variants have an ancient origin,” says
first author Jan Korbel, a postdoctoral fellow in the Department of Molecular
Biophysics & Biochemistry.
In fact, he adds, “Many of the alterations we found occurred before early
human populations migrated out of Africa.”
To look at structural variants that were shared or different, the scientists
analyzed DNA from two females — one of African descent and one of European
descent — using a novel DNA-based methodology called Paired-End Mapping.
Researchers broke up the genome DNA into manageable-sized pieces about 3000 bases
long; tagged and rescued the paired ends of the fragments; and then analyzed
their sequence with a high-throughput, rapid-sequencing method developed by 454
Life Sciences.
“454 Sequencing can generate hundreds of thousands of long read pairs that
are unique within the human genome to quickly and accurately determine genomic
variations,” explains Michael Egholm, a co-author of the study and vice
president of research and development at 454 Life Sciences.
Snyder notes, “Previous work, based on point mutations estimated that there
is a 0.1% difference between individuals, while this work points to a level of
variation between two- and five-times higher.”
“We also,” said Korbel, “found ‘hot spots’ — particular
regions where there is a lot of variation. While these regions may be still actively
undergoing evolution, they are often regions associated with genetic disorder
and disease.”
According to Alex Eckehart Urban, a graduate student in Snyder’s group,
and one of the principal authors on the study, “These results will have
an impact on how people study genetic effects in disease. It was previously assumed
that ‘landmarks,’ like the SNPs mentioned earlier, were fairly evenly
spread out in the genomes of different people. Now, when we are hunting for a
disease gene, we have to take into account that structural variations can distort
the map and differ between individual patients.”
“While it may sound like a contradiction,” says Snyder, “this
study supports results we have previously reported about gene regulation as the
primary cause of variation. Structural variation of large of spans of the genome
will likely alter the regulation of individual genes within those sequences.”
According to the authors, even in healthy people, there are variants in which part of a gene is deleted, or sequences from
two genes are fused together, without destroying the cellular activity with which
they are associated. They say these findings show that the “parts list” of
the human genome may be more variable, and possibly more flexible, than previously
thought.
Other authors from Yale in addition to primary authors Urban and Korbel, who
is also affiliated with the European Molecular Biology Laboratory in Heidelberg,
Germany, are Fabian Grubert, Philip Kim, Dean Palejev, Nicholas Carriero, Andrea
Tanzer, Eugenia Saunders, Sherman Weissman and Mark Gerstein.
The research was funded by the National Institutes of Health, a Marie Curie Fellowship,
the Alexander von Humboldt Foundation, The Wellcome Trust, Roche Applied Science
and the Yale High Performance Computation Center.
— By Janet Rettig Emanuel
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