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Research suggests that advanced technologies that read long chains of DNA can produce erroneous data that could affect genetic studies.
New methods for reading long sections of genetic material – clbadified by a series of letters – are accurate to 99.8%. However, in a genome of over 3 billion letters, this can amount to millions of errors in the results. .
These errors may falsely indicate that a person has a genetic difference that increases his risk of contracting a particular disease.
The researchers believe that the data produced by these technologies should be interpreted with caution, as they can create problems for the badysis of genetic information from humans and animals.
Previously, genetic sequencing technologies were focused on reading short chains of DNA. These sequences would be patched, which takes time and requires a lot of work.
This approach is useful for reading individual genes but is inappropriate for whole organisms.
Experts from the Roslin Institute of the University of Edinburgh have examined three recent studies reporting human genome sequences from long-reading technologies. The data contained thousands of errors even after using the hotfix, they discovered.
Such errors could have major implications if these technologies are used in clinical studies to diagnose patients, suggested the team.
The results are reported in a commentary in Nature Biotechnology. The Roslin Institute receives strategic funding from the Research Council for Biotechnology and Biological Sciences.
Professor Mick Watson, of the Roslin Institute of the University of Edinburgh, said: "The long-reading technologies are incredibly powerful, but it is clear that we can not rely on tools software for correcting errors in data is important because we are increasingly using genomic technologies to understand the world around us. "
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Material provided by University of Edinburgh. Note: Content can be changed for style and length.
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