Pregled bibliografske jedinice broj: 1104730
Retrospective evaluation of whole exome and genome mutation calls in 746 cancer samples
Retrospective evaluation of whole exome and genome mutation calls in 746 cancer samples // Nature communications, 11 (2020), 1; 1-27 doi:10.1038/s41467-020-18151-y (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1104730 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Retrospective evaluation of whole exome and genome
mutation calls in 746 cancer samples
Autori
Bailey, Matthew H. ; MC3 Working Group ; Meyerson, William U. ; Dursi, Lewis Jonathan ; Wang, Liang- Bo ; Dong, Guanlan ; Liang, Wen-Wei ; Weerasinghe, Amila ; Li, Shantao ; Li, Yize ; Kelso, Sean ; Saksena, Gordon ; Ellrott, Kyle ; Wendl, Michael C. ; Wheeler, David A. ; Getz, Gad ; Simpson, Jared T. ; Gerstein, Mark B. ; Ding, Li ; PCAWG novel somatic mutation calling methods working group ; PCAWG Consortium
Kolaboracija
The ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium
Izvornik
Nature communications (2041-1723) 11
(2020), 1;
1-27
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Cancer genomics ; Communication and replication ; Comparative genomics ; Genetic databases
Sažetak
The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) curated consensus somatic mutation calls using whole exome sequencing (WES) and whole genome sequencing (WGS), respectively. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, which aggregated whole genome sequencing data from 2, 658 cancers across 38 tumour types, we compare WES and WGS side-by-side from 746 TCGA samples, finding that ~80% of mutations overlap in covered exonic regions. We estimate that low variant allele fraction (VAF < 15%) and clonal het- erogeneity contribute up to 68% of private WGS mutations and 71% of private WES mutations. We observe that ~30% of private WGS mutations trace to mutations identified by a single variant caller in WES consensus efforts. WGS captures both ~50% more variation in exonic regions and un-observed mutations in loci with variable GC-content. Together, our analysis highlights technological divergences between two reproducible somatic variant detection efforts.
Izvorni jezik
Engleski
POVEZANOST RADA
Projekti:
HRZZ-IP-2014-09-6400 - Istraživanje razvoja, diferencijacije i evolucije životinja kroz genomiku bazalnih metazoa (BAMGEN) (Vlahoviček, Kristian, HRZZ - 2014-09) ( CroRIS)
EK-KF-KK.01.1.1.01.0010 - Znanstveni centar izvrsnosti za personaliziranu brigu o zdravlju (ZCIPersonHealth) (Polašek, Ozren; Secenji, Aleksandar, EK ) ( CroRIS)
--KK.01.1.1.01.009 - Napredne metode i tehnologije u znanosti o podatcima i kooperativnim sustavima (DATACROSS) (Šmuc, Tomislav; Lončarić, Sven; Petrović, Ivan; Jokić, Andrej; Palunko, Ivana) ( CroRIS)
Ustanove:
Prirodoslovno-matematički fakultet, Zagreb
Profili:
Rosa Karlić
(autor)
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
- MEDLINE
- Nature Index