cfDNA

cfDNA analyzes circulating cell-free DNA sequencing data using a targeted sequencing assay with unique molecular identifiers (UMIs) to detect genomic variants, copy number variations, and fragmentation profiles in plasma-derived DNA.


Key Features:

  • UMI-Based Error Correction: Utilizes unique molecular identifiers (UMIs) to correct sequencing errors and improve variant detection accuracy in cfDNA sequencing data.
  • Low-Frequency Variant Detection: Identifies low-frequency genomic variants within a targeted 284.5 kb genomic region sequenced from plasma DNA.
  • Copy Number Variation Detection: Detects copy number variations (CNVs), including ERBB2 gene amplification associated with HER2 subtype classification.
  • Tumor Variant Concordance Analysis: Detects actionable driver and clonal variants in cfDNA with reported concordance between plasma-derived DNA and primary or metastatic tumor sequencing.
  • Fragmentation Profile Analysis: Characterizes cfDNA fragmentation patterns associated with breast cancer compared to healthy controls.

Scientific Applications:

  • Liquid Biopsy Genomic Profiling: Identifies tumor-associated genomic alterations from circulating cell-free DNA in plasma samples.
  • Breast Cancer Molecular Characterization: Detects driver mutations, clonal variants, and ERBB2 copy number alterations associated with HER2 subtype classification.
  • Disease Monitoring: Supports longitudinal monitoring of cancer progression and treatment response through cfDNA sequencing analysis.

Methodology:

cfDNA analyzes targeted sequencing data from a 284.5 kb genomic region using unique molecular identifiers for error correction and computational detection of low-frequency variants, copy number variations, and cfDNA fragmentation patterns.

Topics

Details

License:
MIT
Tool Type:
workflow
Programming Languages:
Python
Added:
11/14/2019
Last Updated:
12/14/2020

Operations

Publications

Kleftogiannis D, Ho D, Liew JX, Poon P, Gan A, Ng RC, Tan BK, Tay KH, Lim S, Tan GS, Shih CC, Lim T, Lee AS, Tan I, Yap Y, Ng S. Detection of genomic alterations in breast cancer with circulating tumour DNA sequencing. Unknown Journal. 2019. doi:10.1101/733691.

Kleftogiannis D, Ho D, Liew JX, Poon PSY, Gan A, Ng RC, Tan BK, Tay KH, Lim SH, Tan GS, Shih CC, Lim TK, Lee AS, Tan IB, Yap Y, Ng SB. Detection of genomic alterations in breast cancer with circulating tumour DNA sequencing. Scientific Reports. 2020;10(1). doi:10.1038/s41598-020-72818-6. PMID:33033274. PMCID:PMC7544894.

PMID: 33033274
PMCID: PMC7544894
Funding: - National Cancer Centre of Singapore: 25560600 - SingHealth Foundation: SHF/FG495P/2012

Documentation