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Related Concept Videos

Next-generation Sequencing03:00

Next-generation Sequencing

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The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features....
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Related Experiment Video

Updated: Nov 5, 2025

Next Generation Sequencing for the Detection of Actionable Mutations in Solid and Liquid Tumors
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Contamination Assessment for Cancer Next-Generation Sequencing.

Yvonne Y Li1,2, Ryan J Schmidt1,3, Danielle K Manning1

  • 1From the Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts (Li, Schmidt, Manning, Jia, Dong).

Archives of Pathology & Laboratory Medicine
|May 20, 2021
PubMed
Summary

A new method accurately detects allogeneic contamination in cancer next-generation sequencing (NGS) specimens. This quality control approach identified contamination in 3.5% of over 7,500 clinical samples, improving diagnostic accuracy.

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Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies
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Area of Science:

  • Molecular diagnostics
  • Genomic medicine
  • Cancer genomics

Background:

  • Allogeneic contamination in clinical cancer next-generation sequencing (NGS) specimens can impact reporting.
  • Consensus guidelines recommend contamination identification for quality control, but clinical implementation is not widely reported.

Purpose of the Study:

  • To develop and implement a method for assessing allogeneic contamination in clinical cancer NGS specimens.

Main Methods:

  • A novel method was developed to detect contamination by evaluating single-nucleotide polymorphic sites in tumor-only specimens.
  • The method was validated using in silico and in vitro mixtures and tested on normal specimens for reproducibility.

Main Results:

  • The algorithm accurately identified systemic contamination, including that from reagent impurity.
  • Prospective application to 7,571 clinical cancer specimens revealed that 262 specimens (3.5%) had >5% contamination.
  • Validation confirmed the method's accuracy and reproducibility.

Conclusions:

  • Allogeneic contamination can be detected using intrinsic cancer NGS data without requiring paired normal sequencing.
  • Implementing this method serves as a valuable quality control measure for clinical molecular diagnostic laboratories performing NGS.