Study shows higher than expected sequencing errors in public databases

February 17, 2017 by Bob Yirka report
A depiction of the double helical structure of DNA. Its four coding units (A, T, C, G) are color-coded in pink, orange, purple and yellow. Credit: NHGRI

(Medical Xpress)—A team of researchers with New England Biolabs Inc. (NEB) has found that sequenced DNA samples held in public databases had higher than expected low-frequency mutation error rates. In their paper published in the journal Science, the team describes how they created an algorithm that is able to calculate an error rate for samples in a database and what it showed when run on two public genome databases.

Researchers involved in studying the role DNA plays in cell mutations that lead to cancerous tumors rely on the accuracy of databases that hold sequencing information—those looking for commonalities, for example, among different groups of people rely on information in such databases when attempting to isolate trends. Such studies involve comparing the genomes of different people with low-frequency mutations versus the general population and using what they find to build cancer datasets. But now, the accuracy of public databases has been called into question by work done by the team at NEB, which in turn calls into question the accuracy of the cancer datasets.

To measure the of a given dataset, the researchers created an algorithm that could be used to count the numbers of sequences showing mutations due to damage during the sequencing process versus those that happened naturally. The team then used their algorithm to calculate error rates for several public databases—most notably the 1000 Genomes Project and part of the TCGA database—they report that they found error rates of 41 percent and 73 percent respectively.

The researchers note that their algorithm is not capable of revealing the source of unnatural damage, but suggest it is likely due to certain sample preparation techniques used prior to sequencing. They also point out that other algorithms have been developed for sequencers to test their own work for errors, but due to lack of a compelling reason, they have not been widely used. They suggest DNA sequencers begin doing so. They also note that new tools have been developed that could help minimize DNA damage during preparation and that their use could improve the of public databases.

Explore further: Web app helps researchers explore cancer genetics

More information: Lixin Chen et al. DNA damage is a pervasive cause of sequencing errors, directly confounding variant identification, Science (2017). DOI: 10.1126/science.aai8690

Abstract
Mutations in somatic cells generate a heterogeneous genomic population and may result in serious medical conditions. Although cancer is typically associated with somatic variations, advances in DNA sequencing indicate that cell-specific variants affect a number of phenotypes and pathologies. Here, we show that mutagenic damage accounts for the majority of the erroneous identification of variants with low to moderate (1 to 5%) frequency. More important, we found signatures of damage in most sequencing data sets in widely used resources, including the 1000 Genomes Project and The Cancer Genome Atlas, establishing damage as a pervasive cause of sequencing errors. The extent of this damage directly confounds the determination of somatic variants in these data sets.

Related Stories

Web app helps researchers explore cancer genetics

July 23, 2015
Brown University computer scientists have developed a new interactive tool to help researchers and clinicians explore the genetic underpinnings of cancer.

An algorithm is sped up to predict harmful effects from specific gene mutations

May 6, 2016
In 2001, researchers developed a formula, or algorithm, that predicts whether a specific change in a gene sequence can result in harmful effects. While useful, the algorithm was slow; the computations underpinning these predictions ...

Recommended for you

Genome analysis with near-complete privacy possible, say researchers

August 17, 2017
It is now possible to scour complete human genomes for the presence of disease-associated genes without revealing any genetic information not directly associated with the inquiry, say Stanford University researchers.

Science Says: DNA test results may not change health habits

August 17, 2017
If you learned your DNA made you more susceptible to getting a disease, wouldn't you work to stay healthy?

Genetic variants found to play key role in human immune system

August 16, 2017
It is widely recognized that people respond differently to infections. This can partially be explained by genetics, shows a new study published today in Nature Communications by an international collaboration of researchers ...

Phenotype varies for presumed pathogenic variants in KCNB1

August 16, 2017
(HealthDay)—De novo KCNB1 missense and loss-of-function variants are associated with neurodevelopmental disorders, with or without seizures, according to a study published online Aug. 14 in JAMA Neurology.

Active non-coding DNA might help pinpoint genetic risk for psychiatric disorders

August 16, 2017
Northwestern Medicine scientists have demonstrated a new method of analyzing non-coding regions of DNA in neurons, which may help to pinpoint which genetic variants are most important to the development of schizophrenia and ...

Evolved masculine and feminine behaviors can be inherited from social environment

August 15, 2017
The different ways men and women behave, passed down from generation to generation, can be inherited from our social environment - not just from genes, experts have suggested.

1 comment

Adjust slider to filter visible comments by rank

Display comments: newest first

papuebiswas
not rated yet Feb 27, 2017
I believe that partnerships will be the key. My company has also partnered with an EHR provider to leverage our offerings. I will take review more information about Aprima!.More Information

Please sign in to add a comment. Registration is free, and takes less than a minute. Read more

Click here to reset your password.
Sign in to get notified via email when new comments are made.