Literature DB >> 26386089

Occult Specimen Contamination in Routine Clinical Next-Generation Sequencing Testing.

Jennifer K Sehn1, David H Spencer2, John D Pfeifer2, Andrew J Bredemeyer2, Catherine E Cottrell2, Haley J Abel3, Eric J Duncavage2.   

Abstract

OBJECTIVES: To evaluate the extent of human-to-human specimen contamination in clinical next-generation sequencing (NGS) data.
METHODS: Using haplotype analysis to detect specimen admixture, with orthogonal validation by short tandem repeat analysis, we determined the rate of clinically significant (>5%) DNA contamination in clinical NGS data from 296 consecutive cases. Haplotype analysis was performed using read haplotypes at common, closely spaced single-nucleotide polymorphisms in low linkage disequilibrium in the population, which were present in regions targeted by the clinical assay. Percent admixture was estimated based on frequencies of the read haplotypes at loci that showed evidence for contamination.
RESULTS: We identified nine (3%) cases with at least 5% DNA admixture. Three cases were bone marrow transplant patients known to be chimeric. Six admixed cases were incidents of contamination, and the rate of contamination was strongly correlated with DNA yield from the tissue specimen.
CONCLUSIONS: Human-human specimen contamination occurs in clinical NGS testing. Tools for detecting contamination in NGS sequence data should be integrated into clinical bioinformatics pipelines, especially as laboratories trend toward using smaller amounts of input DNA and reporting lower frequency variants. This study provides one estimate of the rate of clinically significant human-human specimen contamination in clinical NGS testing. Copyright© by the American Society for Clinical Pathology.

Entities:  

Keywords:  Cancer; DNA contamination; Health care quality assurance; Next-generation sequencing; Quality improvement; Specimen provenance

Mesh:

Year:  2015        PMID: 26386089     DOI: 10.1309/AJCPR88WDJJLDMBN

Source DB:  PubMed          Journal:  Am J Clin Pathol        ISSN: 0002-9173            Impact factor:   2.493


  9 in total

Review 1.  Guidelines for Validation of Next-Generation Sequencing-Based Oncology Panels: A Joint Consensus Recommendation of the Association for Molecular Pathology and College of American Pathologists.

Authors:  Lawrence J Jennings; Maria E Arcila; Christopher Corless; Suzanne Kamel-Reid; Ira M Lubin; John Pfeifer; Robyn L Temple-Smolkin; Karl V Voelkerding; Marina N Nikiforova
Journal:  J Mol Diagn       Date:  2017-03-21       Impact factor: 5.568

2.  Identification of major factors associated with failed clinical molecular oncology testing performed by next generation sequencing (NGS).

Authors:  Hussam Al-Kateb; TuDung T Nguyen; Karen Steger-May; John D Pfeifer
Journal:  Mol Oncol       Date:  2015-05-29       Impact factor: 6.603

3.  Haplotype Counting for Sensitive Chimerism Testing: Potential for Early Leukemia Relapse Detection.

Authors:  Marija Debeljak; Evelina Mocci; Max C Morrison; Aparna Pallavajjalla; Katie Beierl; Marie Amiel; Michaël Noë; Laura D Wood; Ming-Tseh Lin; Christopher D Gocke; Alison P Klein; Ephraim J Fuchs; Richard J Jones; James R Eshleman
Journal:  J Mol Diagn       Date:  2017-05       Impact factor: 5.568

4.  Next-generation sequencing for constitutional variants in the clinical laboratory, 2021 revision: a technical standard of the American College of Medical Genetics and Genomics (ACMG).

Authors:  Catherine Rehder; Lora J H Bean; David Bick; Elizabeth Chao; Wendy Chung; Soma Das; Julianne O'Daniel; Heidi Rehm; Vandana Shashi; Lisa M Vincent
Journal:  Genet Med       Date:  2021-04-29       Impact factor: 8.822

5.  A sheet pocket to prevent cross-contamination of formalin-fixed paraffin-embedded block for application in next generation sequencing.

Authors:  Keiichi Iwaya; Hisae Arai; Nanao Takatou; Yuka Morita; Rinko Ozeki; Hirofumi Nakaoka; Masaru Sakamoto; Tsutomu Kouno; Masayoshi Soma
Journal:  PLoS One       Date:  2022-05-04       Impact factor: 3.240

6.  Feasibility and utility of a panel testing for 114 cancer-associated genes in a clinical setting: A hospital-based study.

Authors:  Kuniko Sunami; Hitoshi Ichikawa; Takashi Kubo; Mamoru Kato; Yutaka Fujiwara; Akihiko Shimomura; Takafumi Koyama; Hiroki Kakishima; Mayuko Kitami; Hiromichi Matsushita; Eisaku Furukawa; Daichi Narushima; Momoko Nagai; Hirokazu Taniguchi; Noriko Motoi; Shigeki Sekine; Akiko Maeshima; Taisuke Mori; Reiko Watanabe; Masayuki Yoshida; Akihiko Yoshida; Hiroshi Yoshida; Kaishi Satomi; Aoi Sukeda; Taiki Hashimoto; Toshio Shimizu; Satoru Iwasa; Kan Yonemori; Ken Kato; Chigusa Morizane; Chitose Ogawa; Noriko Tanabe; Kokichi Sugano; Nobuyoshi Hiraoka; Kenji Tamura; Teruhiko Yoshida; Yasuhiro Fujiwara; Atsushi Ochiai; Noboru Yamamoto; Takashi Kohno
Journal:  Cancer Sci       Date:  2019-04-02       Impact factor: 6.716

7.  Technical Validation of a Hepatitis C Virus Whole Genome Sequencing Assay for Detection of Genotype and Antiviral Resistance in the Clinical Pathway.

Authors:  Carmen F Manso; David F Bibby; Kieren Lythgow; Hodan Mohamed; Richard Myers; David Williams; Renata Piorkowska; Yuen T Chan; Rory Bowden; M Azim Ansari; Camilla L C Ip; Eleanor Barnes; Daniel Bradshaw; Jean L Mbisa
Journal:  Front Microbiol       Date:  2020-10-09       Impact factor: 5.640

8.  Contamination-controlled high-throughput whole genome sequencing for influenza A viruses using the MiSeq sequencer.

Authors:  Hong Kai Lee; Chun Kiat Lee; Julian Wei-Tze Tang; Tze Ping Loh; Evelyn Siew-Chuan Koay
Journal:  Sci Rep       Date:  2016-09-14       Impact factor: 4.379

9.  Sample tracking in microbiome community profiling assays using synthetic 16S rRNA gene spike-in controls.

Authors:  Dieter M Tourlousse; Akiko Ohashi; Yuji Sekiguchi
Journal:  Sci Rep       Date:  2018-06-14       Impact factor: 4.379

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.