From Days to Hours: Reporting Clinically Actionable Variants from Whole Genome Sequencing

被引:3
作者
Middha, Sumit [1 ]
Baheti, Saurabh [1 ]
Hart, Steven N. [1 ]
Kocher, Jean-Pierre A. [1 ]
机构
[1] Mayo Clin, Dept Hlth Sci Res, Div Biomed Stat & Informat, Rochester, MN 55905 USA
来源
PLOS ONE | 2014年 / 9卷 / 02期
关键词
BURROWS-WHEELER TRANSFORM; READ ALIGNMENT;
D O I
10.1371/journal.pone.0086803
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
As the cost of whole genome sequencing (WGS) decreases, clinical laboratories will be looking at broadly adopting this technology to screen for variants of clinical significance. To fully leverage this technology in a clinical setting, results need to be reported quickly, as the turnaround rate could potentially impact patient care. The latest sequencers can sequence a whole human genome in about 24 hours. However, depending on the computing infrastructure available, the processing of data can take several days, with the majority of computing time devoted to aligning reads to genomics regions that are to date not clinically interpretable. In an attempt to accelerate the reporting of clinically actionable variants, we have investigated the utility of a multi-step alignment algorithm focused on aligning reads and calling variants in genomic regions of clinical relevance prior to processing the remaining reads on the whole genome. This iterative workflow significantly accelerates the reporting of clinically actionable variants with no loss of accuracy when compared to genotypes obtained with the OMNI SNP platform or to variants detected with a standard workflow that combines Novoalign and GATK.
引用
收藏
页数:4
相关论文
共 41 条
[11]   An efficient pipeline for ancient DNA mapping and recovery of endogenous ancient DNA from whole-genome sequencing data [J].
Xu, Wenhao ;
Lin, Yu ;
Zhao, Keliang ;
Li, Haimeng ;
Tian, Yinping ;
Ngatia, Jacob Njaramba ;
Ma, Yue ;
Sahu, Sunil Kumar ;
Guo, Huabing ;
Guo, Xiaosen ;
Xu, Yan Chun ;
Liu, Huan ;
Kristiansen, Karsten ;
Lan, Tianming ;
Zhou, Xinying .
ECOLOGY AND EVOLUTION, 2021, 11 (01) :390-401
[12]   A combined RNA-seq and whole genome sequencing approach for identification of non-coding pathogenic variants in single families [J].
Bronstein, Revital ;
Capowski, Elizabeth E. ;
Mehrotra, Sudeep ;
Jansen, Alex D. ;
Navarro-Gomez, Daniel ;
Maher, Mathew ;
Place, Emily ;
Sangermano, Riccardo ;
Bujakowska, Kinga M. ;
Gamm, David M. ;
Pierce, Eric A. .
HUMAN MOLECULAR GENETICS, 2020, 29 (06) :967-979
[13]   Enhancing SNV identification in whole-genome sequencing data through the incorporation of known genetic variants into the minimap2 index [J].
Egor, Guguchkin ;
Artem, Kasianov ;
Maksim, Belenikin ;
Gaukhar, Zobkova ;
Ekaterina, Kosova ;
Vsevolod, Makeev ;
Evgeny, Karpulevich .
BMC BIOINFORMATICS, 2024, 25 (01)
[14]   Whole-genome sequencing from the New Zealand Saccharomyces cerevisiae population reveals the genomic impacts of novel microbial range expansion [J].
Higgins, Peter ;
Grace, Cooper A. ;
Lee, Soon A. ;
Goddard, Matthew R. .
G3-GENES GENOMES GENETICS, 2021, 11 (01)
[15]   Interpretable detection of novel human viruses from genome sequencing data [J].
Bartoszewicz, Jakub M. ;
Seidel, Anja ;
Renard, Bernhard Y. .
NAR GENOMICS AND BIOINFORMATICS, 2021, 3 (01)
[16]   Isolation, Identification, Antimicrobial Resistance, Genotyping, and Whole-Genome Sequencing Analysis of Salmonella Enteritidis Isolated from a Food-Poisoning Incident [J].
Hou, Zhuru ;
Xu, Benjin ;
Liu, Ling ;
Yan, Rongrong ;
Zhang, Jinjing .
POLISH JOURNAL OF MICROBIOLOGY, 2024, 73 (01) :69-89
[17]   Characterization of Emetic and Diarrheal Bacillus cereus Strains From a 2016 Foodborne Outbreak Using Whole-Genome Sequencing: Addressing the Microbiological, Epidemiological, and Bioinformatic Challenges [J].
Carroll, Laura M. ;
Wiedmann, Martin ;
Mukherjee, Manjari ;
Nicholas, David C. ;
Mingle, Lisa A. ;
Dumas, Nellie B. ;
Cole, Jocelyn A. ;
Kovac, Jasna .
FRONTIERS IN MICROBIOLOGY, 2019, 10
[18]   Assembly of a pan-genome from deep sequencing of 910 humans of African descent [J].
Sherman, Rachel M. ;
Forman, Juliet ;
Antonescu, Valentin ;
Puiu, Daniela ;
Daya, Michelle ;
Rafaels, Nicholas ;
Boorgula, Meher Preethi ;
Chavan, Sameer ;
Vergara, Candelaria ;
Ortega, Victor E. ;
Levin, Albert M. ;
Eng, Celeste ;
Yazdanbakhsh, Maria ;
Wilson, James G. ;
Marrugo, Javier ;
Lange, Leslie A. ;
Williams, L. Keoki ;
Watson, Harold ;
Ware, Lorraine B. ;
Olopade, Christopher O. ;
Olopade, Olufunmilayo ;
Oliveira, Ricardo R. ;
Ober, Carole ;
Nicolae, Dan L. ;
Meyers, Deborah A. ;
Mayorga, Alvaro ;
Knight-Madden, Jennifer ;
Hartert, Tina ;
Hansel, Nadia N. ;
Foreman, Marilyn G. ;
Ford, Jean G. ;
Faruque, Mezbah U. ;
Dunston, Georgia M. ;
Caraballo, Luis ;
Burchard, Esteban G. ;
Bleecker, Eugene R. ;
Araujo, Maria I. ;
Herrera-Paz, Edwin F. ;
Campbell, Monica ;
Foster, Cassandra ;
Taub, Margaret A. ;
Beaty, Terri H. ;
Ruczinski, Ingo ;
Mathias, Rasika A. ;
Barnes, Kathleen C. ;
Salzberg, Steven L. .
NATURE GENETICS, 2019, 51 (01) :30-+
[19]   An integrated framework for discovery and genotyping of genomic variants from high-throughput sequencing experiments [J].
Duitama, Jorge ;
Quintero, Juan Camilo ;
Cruz, Daniel Felipe ;
Quintero, Constanza ;
Hubmann, Georg ;
Foulquie-Moreno, Maria R. ;
Verstrepen, Kevin J. ;
Thevelein, Johan M. ;
Tohme, Joe .
NUCLEIC ACIDS RESEARCH, 2014, 42 (06) :e44
[20]   Whole-Genome Sequencing of a 900-Year-Old Human Skeleton Supports Two Past Migration Events from the Russian Far East to Northern Japan [J].
Sato, Takehiro ;
Adachi, Noboru ;
Kimura, Ryosuke ;
Hosomichi, Kazuyoshi ;
Yoneda, Minoru ;
Oota, Hiroki ;
Tajima, Atsushi ;
Toyoda, Atsushi ;
Kanzawa-Kiriyama, Hideaki ;
Matsumae, Hiromi ;
Koganebuchi, Kae ;
Shimizu, Kentaro K. ;
Shinoda, Ken-Ichi ;
Hanihara, Tsunehiko ;
Weber, Andrzej ;
Kato, Hirofumi ;
Ishida, Hajime .
GENOME BIOLOGY AND EVOLUTION, 2021, 13 (09)