Analysis of cfDNA fragmentomics metrics and commercial targeted sequencing panels

Fragmentomics based analysis of cell-free DNA (cfDNA) has recently emerged as a method to infer epigenetic and transcriptional data. Many of these reports analyze whole genome sequencing (WGS) which is not readily available clinically. Targeted exon panels are used for clinical cfDNA variant calling. In this report, we conduct an investigation of multiple published fragmentomics methods for WGS, but on cancer exon panels. We find that strategies utilizing normalized depth metrics, as well as all exons present on the panel, generally allow for better prediction of cancer phenotypes across a range of tumor fractions, though other metrics work particularly well in specific applications. Additionally, genes from commercial clinical targeted sequencing panels could be similarly employed for cancer phenotyping with a minimal decrease in performance despite their smaller genomic coverage. These results suggest that fragmentomics-based analysis of cfDNA can utilize targeted sequencing panels and does not necessarily require additional WGS.

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Publication Details

Journal
Nature Communications
Published
2025-10-14
DOI
https://doi.org/10.1038/s41467-025-64153-z
Citations
2
Primary Topic
Cancer Genomics and Diagnostics
Type
article
Field-Weighted Citation Impact
1.87

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article

Analysis of cfDNA fragmentomics metrics and commercial targeted sequencing panels

Joshua M. Lang, Matthew R. Chrostek, Felix Yi-Chung Feng, Hannah M. Krause et al.
2 citations
Nature Communications
Cancer Genomics and Diagnostics
1.87
article

Analysis of cfDNA fragmentomics metrics and commercial targeted sequencing panels

Joshua M. Lang, Matthew R. Chrostek, Felix Yi-Chung Feng, Hannah M. Krause, Hamid Emamekhoo, Kyle T. Helzer, Andrew J. Armstrong, Martin Sjöström, Kari B. Wisinski, Michael Bassetti, Himisha Beltran, Marina N. Sharifi, Nan Sethakorn, Alexander W. Wyatt, Jamie M. Sperger, Rana R. McKay, Christos E. Kyriakopoulos, Grace C. Blitzer, Amy K. Taylor, Matthew L. Bootsma, Shuang George Zhao, Ruth O’Regan, David Kosoff, Jennifer L. Schehr, Katherine R. Kaufmann, John M. Floberg, Shannon R. Reese
article en
2 citations

Abstract

Fragmentomics based analysis of cell-free DNA (cfDNA) has recently emerged as a method to infer epigenetic and transcriptional data. Many of these reports analyze whole genome sequencing (WGS) which is not readily available clinically. Targeted exon panels are used for clinical cfDNA variant calling. In this report, we conduct an investigation of multiple published fragmentomics methods for WGS, but on cancer exon panels. We find that strategies utilizing normalized depth metrics, as well as all exons present on the panel, generally allow for better prediction of cancer phenotypes across a range of tumor fractions, though other metrics work particularly well in specific applications. Additionally, genes from commercial clinical targeted sequencing panels could be similarly employed for cancer phenotyping with a minimal decrease in performance despite their smaller genomic coverage. These results suggest that fragmentomics-based analysis of cfDNA can utilize targeted sequencing panels and does not necessarily require additional WGS.

Nature CommunicationsVol. 16(1)
University of Wisconsin–Madison (US), University of British Columbia (CA), University of California, San Francisco (US), Lund University (SE), University of California San Diego (US), University of Wisconsin Carbone Cancer Center (US), Dana-Farber Cancer Institute (US), Duke Medical Center (US), Canada's Michael Smith Genome Sciences Centre (CA), UCSF Helen Diller Family Comprehensive Cancer Center (US), University of Rochester (US)
U.S. Department of Defense, Prostate Cancer Foundation, University of Wisconsin Carbone Cancer Center, Movember Foundation, National Institutes of Health, School of Medicine and Public Health, University of Wisconsin-Madison
Openalex Percentile: Top 12%
Cancer Genomics and Diagnostics
1.87
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