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Comparison of structural variants detected by optical mapping with long-read next-generation sequencing

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F21%3A10248614" target="_blank" >RIV/61989100:27240/21:10248614 - isvavai.cz</a>

  • Nalezeny alternativní kódy

    RIV/61989592:15110/21:73607268

  • Výsledek na webu

    <a href="https://academic.oup.com/bioinformatics/article-abstract/37/20/3398/6275264?redirectedFrom=fulltext" target="_blank" >https://academic.oup.com/bioinformatics/article-abstract/37/20/3398/6275264?redirectedFrom=fulltext</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1093/bioinformatics/btab359" target="_blank" >10.1093/bioinformatics/btab359</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Comparison of structural variants detected by optical mapping with long-read next-generation sequencing

  • Popis výsledku v původním jazyce

    Motivation: Recent studies have shown the potential of using long-read whole-genome sequencing (WGS) approaches and optical mapping (OM) for the detection of clinically relevant structural variants (SVs) in cancer research. Three main long-read WGS platforms are currently in use: Pacific Biosciences (PacBio), Oxford Nanopore Technologies (ONT) and 10x Genomics. Recently, whole-genome OM technology (Bionano Genomics) has been introduced into human diagnostics. Questions remain about the accuracy of these long-read sequencing platforms, how comparable/interchangeable they are when searching for SVs and to what extent they can be replaced or supplemented by OM. Moreover, no tool can effectively compare SVs obtained by OM and WGS. Results: This study compared optical maps of the breast cancer cell line SKBR3 with AnnotSV outputs from WGS platforms. For this purpose, a software tool with comparative and filtering features was developed. The majority of SVs up to a 50 kbp distance variance threshold found by OM were confirmed by all WGS platforms, and similar to 99% of translocations and similar to 80% of deletions found by OM were confirmed by both PacBio and ONT, with similar to 70% being confirmed by 10x Genomics in combination with PacBio and/or ONT. Interestingly, long deletions (&gt;100 kbp) were detected only by 10x Genomics. Regarding insertions, similar to 74% was confirmed by PacBio and ONT, but none by 10x Genomics. Inversions and duplications detected by OM were not detected by WGS. Moreover, the tool enabled the confirmation of SVs that overlapped in the same gene(s) and was applied to the filtering of disease-associated SVs.

  • Název v anglickém jazyce

    Comparison of structural variants detected by optical mapping with long-read next-generation sequencing

  • Popis výsledku anglicky

    Motivation: Recent studies have shown the potential of using long-read whole-genome sequencing (WGS) approaches and optical mapping (OM) for the detection of clinically relevant structural variants (SVs) in cancer research. Three main long-read WGS platforms are currently in use: Pacific Biosciences (PacBio), Oxford Nanopore Technologies (ONT) and 10x Genomics. Recently, whole-genome OM technology (Bionano Genomics) has been introduced into human diagnostics. Questions remain about the accuracy of these long-read sequencing platforms, how comparable/interchangeable they are when searching for SVs and to what extent they can be replaced or supplemented by OM. Moreover, no tool can effectively compare SVs obtained by OM and WGS. Results: This study compared optical maps of the breast cancer cell line SKBR3 with AnnotSV outputs from WGS platforms. For this purpose, a software tool with comparative and filtering features was developed. The majority of SVs up to a 50 kbp distance variance threshold found by OM were confirmed by all WGS platforms, and similar to 99% of translocations and similar to 80% of deletions found by OM were confirmed by both PacBio and ONT, with similar to 70% being confirmed by 10x Genomics in combination with PacBio and/or ONT. Interestingly, long deletions (&gt;100 kbp) were detected only by 10x Genomics. Regarding insertions, similar to 74% was confirmed by PacBio and ONT, but none by 10x Genomics. Inversions and duplications detected by OM were not detected by WGS. Moreover, the tool enabled the confirmation of SVs that overlapped in the same gene(s) and was applied to the filtering of disease-associated SVs.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    10200 - Computer and information sciences

Návaznosti výsledku

  • Projekt

    <a href="/cs/project/NU20-06-00269" target="_blank" >NU20-06-00269: Využití buněčných profilů a proteomiky synoviální tekutiny, případně tkání pro podporu klinického rozhodování u osteoartrózy kolena</a><br>

  • Návaznosti

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Ostatní

  • Rok uplatnění

    2021

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název periodika

    Bioinformatics

  • ISSN

    1367-4803

  • e-ISSN

  • Svazek periodika

    37

  • Číslo periodika v rámci svazku

    20

  • Stát vydavatele periodika

    GB - Spojené království Velké Británie a Severního Irska

  • Počet stran výsledku

    7

  • Strana od-do

    3398-3404

  • Kód UT WoS článku

    000733829400002

  • EID výsledku v databázi Scopus