Literature DB >> 30683922

ART-DeCo: easy tool for detection and characterization of cross-contamination of DNA samples in diagnostic next-generation sequencing analysis.

Alice Fiévet1,2, Virginie Bernard3, Henrique Tenreiro4, Catherine Dehainault4, Elodie Girard5,6,7,8, Vivien Deshaies5,6,7,8, Philippe Hupe5,6,7,8, Olivier Delattre4,9, Marc-Henri Stern4,9, Dominique Stoppa-Lyonnet4,9,10, Lisa Golmard4, Claude Houdayer4,9,10,11.   

Abstract

Next-generation sequencing (NGS) is routinely used for constitutional genetic analysis. However, cross-contamination between samples constitutes a major risk that could impact the results of the analysis. We have developed ART-DeCo, a tool using the allelic ratio (AR) of the Single Nucleotide Polymorphisms sequenced with regions of interest. When a sample is contaminated by DNA with a different genotype, unexpected ARs are obtained, which are in turn used for detection of contamination with a screening test, followed by identification and quantification of the contaminant. Following optimization, ART-DeCo was applied to 2222 constitutional DNA samples. The screening test was positive for 191 samples. In 33 cases (contamination percentages: 1.3% to 29.2%), the contaminant was identified and was mostly located in adjacent wells. Three other positive cases were due to barcoding errors or mixture of two DNA samples. Interestingly, the last contaminated sample corresponded to a bone marrow transplant recipient. Lastly, no contaminant was identified in 154 weakly positive ( < 4%) samples that were considered to be irrelevant to constitutional genetic analysis. ART-DeCo lends itself to mandatory quality control procedures, also highlighting the delicate steps of library preparation, resulting in practice improvement. Importantly, ART-DeCo can be implemented in any NGS workflow, from gene panel to genome-wide analyses. https://sourceforge.net/projects/ngs-art-deco/ .

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Year:  2019        PMID: 30683922      PMCID: PMC6461872          DOI: 10.1038/s41431-018-0317-x

Source DB:  PubMed          Journal:  Eur J Hum Genet        ISSN: 1018-4813            Impact factor:   4.246


  2 in total

Review 1.  Computational analysis of cancer genome sequencing data.

Authors:  Isidro Cortés-Ciriano; Doga C Gulhan; Jake June-Koo Lee; Giorgio E M Melloni; Peter J Park
Journal:  Nat Rev Genet       Date:  2021-12-08       Impact factor: 53.242

2.  Microsatellite Markers in Biobanking: A New Multiplexed Assay.

Authors:  Gretchen Smith; Debra Mathews; Samuel Sander-Effron; Deborah Requesens; Nahid Turan; Laura Scheinfeldt
Journal:  Biopreserv Biobank       Date:  2021-09-01       Impact factor: 2.300

  2 in total

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