NIPTmer: rapid k-mer-based software package for detection of fetal aneuploidies

dc.contributor"European Union (EU)" and "Horizon 2020"
dc.contributor.authorSauk, M.
dc.contributor.authorŽilina, O.
dc.contributor.authorKurg, A.
dc.contributor.authorUstav, EL.
dc.contributor.authorPeters, M.
dc.contributor.authorPaluoja, P.
dc.contributor.authorRoost, AM.
dc.contributor.authorTeder, H.
dc.contributor.authorPalta, P.
dc.contributor.authorBrison, N.
dc.contributor.authorVermeesch, JR.
dc.contributor.authorKrjutškov, K.
dc.contributor.authorSalumets, A.
dc.contributor.authorKaplinski, L.
dc.date.accessioned2019-02-26T14:41:47Z
dc.date.available2019-02-26T14:41:47Z
dc.date.issued2018
dc.description.abstractNon-invasive prenatal testing (NIPT) is a recent and rapidly evolving method for detecting genetic lesions, such as aneuploidies, of a fetus. However, there is a need for faster and cheaper laboratory and analysis methods to make NIPT more widely accessible. We have developed a novel software package for detection of fetal aneuploidies from next-generation low-coverage whole genome sequencing data. Our tool – NIPTmer – is based on counting pre-defined per-chromosome sets of unique k-mers from raw sequencing data, and applying linear regression model on the counts. Additionally, the filtering process used for k-mer list creation allows one to take into account the genetic variance in a specific sample, thus reducing the source of uncertainty. The processing time of one sample is less than 10 CPU-minutes on a high-end workstation. NIPTmer was validated on a cohort of 583 NIPT samples and it correctly predicted 37 non-mosaic fetal aneuploidies. NIPTmer has the potential to reduce significantly the time and complexity of NIPT post-sequencing analysis compared to mapping-based methods. For non-commercial users the software package is freely available at http://bioinfo.ut.ee/NIPTMer/.et
dc.identifier.urihttps://doi.org/10.1038/s41598-018-23589-8
dc.identifier.urihttp://hdl.handle.net/10062/63421
dc.language.isoenget
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/692065///WIDENLIFEet
dc.relation.ispartofseriesSci Rep. 2018;Apr 4;8(1):5616.
dc.rightsinfo:eu-repo/semantics/openAccesset
dc.subjectNext-generation sequencinget
dc.subjectComputational biology and bioinformaticset
dc.titleNIPTmer: rapid k-mer-based software package for detection of fetal aneuploidieset
dc.typeinfo:eu-repo/semantics/articleet

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