Detail
Článek
Článek online
FT
Medvik - BMČ
  • Je něco špatně v tomto záznamu ?

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

. 2021 ; 37 (20) : 3398-3404. [pub] 20210513

Status minimální Jazyk angličtina

Typ dokumentu časopisecké články

Perzistentní odkaz   https://www.medvik.cz/link/bmc25025866

Grantová podpora
NU20-06-00269 MZ0 CEP - Centrální evidence projektů

Abstract 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 ∼99% of translocations and ∼80% of deletions found by OM were confirmed by both PacBio and ONT, with ∼70% being confirmed by 10x Genomics in combination with PacBio and/or ONT. Interestingly, long deletions (>100 kbp) were detected only by 10x Genomics. Regarding insertions, ∼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. Availability and implementation https://github.com/novosadt/om-annotsv-svc.

Citace poskytuje Crossref.org

000      
00000naa a2200000 a 4500
001      
bmc25025866
003      
CZ-PrNML
005      
20251212152554.0
007      
ta
008      
251210s2021 ||| f 000 0|eng||
009      
AR
024    7_
$a 10.1093/bioinformatics/btab359 $2 doi
040    __
$a ABA008 $b cze $d ABA008 $e AACR2
041    0_
$a eng
100    1_
$a Savara, Jakub $u Department of Computer Science, VSB-Technical University of Ostrava , Ostrava, 708 00, Czech Republic $u Department of Immunology, Faculty of Medicine and Dentistry, Palacký University in Olomouc and University Hospital Olomouc , 779 00, Olomouc, Czech Republic $1 https://orcid.org/0000-0003-3067-7867
245    10
$a Comparison of structural variants detected by optical mapping with long-read next-generation sequencing
520    9_
$a Abstract 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 ∼99% of translocations and ∼80% of deletions found by OM were confirmed by both PacBio and ONT, with ∼70% being confirmed by 10x Genomics in combination with PacBio and/or ONT. Interestingly, long deletions (>100 kbp) were detected only by 10x Genomics. Regarding insertions, ∼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. Availability and implementation https://github.com/novosadt/om-annotsv-svc.
655    _2
$a časopisecké články $7 D016428
700    1_
$a Novosád, Tomáš $u Department of Computer Science, VSB-Technical University of Ostrava , Ostrava, 708 00, Czech Republic $1 https://orcid.org/0000-0003-2291-261X
700    1_
$a Gajdoš, Petr $u Department of Computer Science, VSB-Technical University of Ostrava , Ostrava, 708 00, Czech Republic $1 https://orcid.org/0000-0003-1831-3489
700    1_
$a Kriegová, Eva $u Department of Immunology, Faculty of Medicine and Dentistry, Palacký University in Olomouc and University Hospital Olomouc , 779 00, Olomouc, Czech Republic $1 https://orcid.org/0000-0002-8969-4197
700    1_
$a Kendziorski, Christina $4 edt
773    0_
$w MED00008115 $t Bioinformatics $x 1367-4803 ; 1367-4811 $g Roč. 37, č. 20 (2021), s. 3398-3404
910    __
$a ABA008 $b sig $c signa $y -
990    __
$a 20251202 $b ABA008
999    __
$a min $b bmc $g 2446368 $s 1264064
BAS    __
$a 3 $a PreBMC
BMC    __
$a 2021 $b 37 $c 20 $d 3398-3404 $e 20210513 $i 1367-4803 ; 1367-4811 $m Bioinformatics $x MED00008115
GRA    __
$a NU20-06-00269 $p MZ0
LZP    __
$a AZV-2023-Crossref-20251210

Najít záznam

Citační ukazatele

Pouze přihlášení uživatelé

Možnosti archivace

Nahrávání dat ...