Toolkit/cfDNA fragmentomics evaluation

cfDNA fragmentomics evaluation

Assay Method·Research·Since 2024

Also known as: cfDNA fragmentomics

Taxonomy: Technique Branch / Method. Workflows sit above the mechanism and technique branches rather than replacing them.

Summary

cfDNA fragmentomics evaluation is an assay method that analyzes plasma cell-free DNA fragment length distributions and fragment end motifs to identify signatures associated with active gene expression. In a 2024 study, integrating short-fragment frequency with end-motif information improved enrichment for highly expressed genes in plasma samples from lung cancer patients and healthy individuals.

Usefulness & Problems

Why this is useful

This method is useful for extracting gene expression-associated information from liquid biopsy cfDNA without direct tissue sampling. The cited study indicates that combining fragment size and end-motif features can improve identification of highly expressed genes relative to using fragment length information alone.

Problem solved

This assay addresses the problem of inferring active gene expression states from plasma-derived cfDNA. Specifically, it helps distinguish genes with high expression by leveraging enrichment of short cfDNA fragments and distinct fragment end motifs.

Problem links

Need better screening or enrichment leverage

Derived

cfDNA fragmentomics evaluation is an assay method that analyzes plasma cell-free DNA fragment lengths and fragment end motifs to identify features associated with active gene expression. In the cited 2024 study, it was applied to plasma from lung cancer patients (n = 12) and healthy individuals (n = 7), and integration of short-fragment frequency with end-motif information improved enrichment for highly expressed genes.

Taxonomy & Function

Implementation Constraints

cofactor dependency: cofactor requirement unknownencoding mode: genetically encodedimplementation constraint: context specific validationoperating role: sensor

The method was performed on plasma cell-free DNA from human subjects, including lung cancer patients and healthy individuals. The evidence supports analysis of fragment lengths and fragment end motifs, but does not provide detailed protocols for library preparation, sequencing platform, computational pipeline, or thresholding criteria.

The available evidence is limited to a single 2024 study with a small cohort and association-based claims. The supplied evidence does not report analytical sensitivity, specificity, reproducibility, sequencing requirements, or validation across additional diseases, cohorts, or laboratories.

Validation

Cell-freeBacteriaMammalianMouseHumanTherapeuticIndep. Replication

Supporting Sources

Ranked Claims

Claim 1associationsupports2024Source 1needs review

Distinct GC-rich fragment end motifs are enriched after cfChIP.

Furthermore, distinct GC-rich FEMs were enriched after cfChIP.
Claim 2associationsupports2024Source 1needs review

Distinct GC-rich fragment end motifs are enriched after cfChIP.

Furthermore, distinct GC-rich FEMs were enriched after cfChIP.
Claim 3associationsupports2024Source 1needs review

Distinct GC-rich fragment end motifs are enriched after cfChIP.

Furthermore, distinct GC-rich FEMs were enriched after cfChIP.
Claim 4associationsupports2024Source 1needs review

Distinct GC-rich fragment end motifs are enriched after cfChIP.

Furthermore, distinct GC-rich FEMs were enriched after cfChIP.
Claim 5associationsupports2024Source 1needs review

Distinct GC-rich fragment end motifs are enriched after cfChIP.

Furthermore, distinct GC-rich FEMs were enriched after cfChIP.
Claim 6associationsupports2024Source 1needs review

Distinct GC-rich fragment end motifs are enriched after cfChIP.

Furthermore, distinct GC-rich FEMs were enriched after cfChIP.
Claim 7associationsupports2024Source 1needs review

Distinct GC-rich fragment end motifs are enriched after cfChIP.

Furthermore, distinct GC-rich FEMs were enriched after cfChIP.
Claim 8associationsupports2024Source 1needs review

Distinct GC-rich fragment end motifs are enriched after cfChIP.

Furthermore, distinct GC-rich FEMs were enriched after cfChIP.
Claim 9associationsupports2024Source 1needs review

Distinct GC-rich fragment end motifs are enriched after cfChIP.

Furthermore, distinct GC-rich FEMs were enriched after cfChIP.
Claim 10associationsupports2024Source 1needs review

Distinct GC-rich fragment end motifs are enriched after cfChIP.

Furthermore, distinct GC-rich FEMs were enriched after cfChIP.
Claim 11associationsupports2024Source 1needs review

Genes with the highest expression are enriched for short cfDNA fragments compared with genes with low expression.

The genes with the highest expression displayed an enrichment of short cfDNA fragments (median = 19.99%, IQR: 16.94-27.13%, p < 0.0001) compared to the genes with low expression.
p value 0.0001short cfDNA fragment enrichment among highest-expression genes 19.99 %short cfDNA fragment enrichment among highest-expression genes 16.94-27.13 %
Claim 12associationsupports2024Source 1needs review

Genes with the highest expression are enriched for short cfDNA fragments compared with genes with low expression.

The genes with the highest expression displayed an enrichment of short cfDNA fragments (median = 19.99%, IQR: 16.94-27.13%, p < 0.0001) compared to the genes with low expression.
p value 0.0001short cfDNA fragment enrichment among highest-expression genes 19.99 %short cfDNA fragment enrichment among highest-expression genes 16.94-27.13 %
Claim 13associationsupports2024Source 1needs review

Genes with the highest expression are enriched for short cfDNA fragments compared with genes with low expression.

The genes with the highest expression displayed an enrichment of short cfDNA fragments (median = 19.99%, IQR: 16.94-27.13%, p < 0.0001) compared to the genes with low expression.
p value 0.0001short cfDNA fragment enrichment among highest-expression genes 19.99 %short cfDNA fragment enrichment among highest-expression genes 16.94-27.13 %
Claim 14associationsupports2024Source 1needs review

Genes with the highest expression are enriched for short cfDNA fragments compared with genes with low expression.

The genes with the highest expression displayed an enrichment of short cfDNA fragments (median = 19.99%, IQR: 16.94-27.13%, p < 0.0001) compared to the genes with low expression.
p value 0.0001short cfDNA fragment enrichment among highest-expression genes 19.99 %short cfDNA fragment enrichment among highest-expression genes 16.94-27.13 %
Claim 15associationsupports2024Source 1needs review

Genes with the highest expression are enriched for short cfDNA fragments compared with genes with low expression.

The genes with the highest expression displayed an enrichment of short cfDNA fragments (median = 19.99%, IQR: 16.94-27.13%, p < 0.0001) compared to the genes with low expression.
p value 0.0001short cfDNA fragment enrichment among highest-expression genes 19.99 %short cfDNA fragment enrichment among highest-expression genes 16.94-27.13 %
Claim 16associationsupports2024Source 1needs review

Genes with the highest expression are enriched for short cfDNA fragments compared with genes with low expression.

The genes with the highest expression displayed an enrichment of short cfDNA fragments (median = 19.99%, IQR: 16.94-27.13%, p < 0.0001) compared to the genes with low expression.
p value 0.0001short cfDNA fragment enrichment among highest-expression genes 19.99 %short cfDNA fragment enrichment among highest-expression genes 16.94-27.13 %
Claim 17associationsupports2024Source 1needs review

Genes with the highest expression are enriched for short cfDNA fragments compared with genes with low expression.

The genes with the highest expression displayed an enrichment of short cfDNA fragments (median = 19.99%, IQR: 16.94-27.13%, p < 0.0001) compared to the genes with low expression.
p value 0.0001short cfDNA fragment enrichment among highest-expression genes 19.99 %short cfDNA fragment enrichment among highest-expression genes 16.94-27.13 %
Claim 18associationsupports2024Source 1needs review

Genes with the highest expression are enriched for short cfDNA fragments compared with genes with low expression.

The genes with the highest expression displayed an enrichment of short cfDNA fragments (median = 19.99%, IQR: 16.94-27.13%, p < 0.0001) compared to the genes with low expression.
p value 0.0001short cfDNA fragment enrichment among highest-expression genes 19.99 %short cfDNA fragment enrichment among highest-expression genes 16.94-27.13 %
Claim 19associationsupports2024Source 1needs review

Genes with the highest expression are enriched for short cfDNA fragments compared with genes with low expression.

The genes with the highest expression displayed an enrichment of short cfDNA fragments (median = 19.99%, IQR: 16.94-27.13%, p < 0.0001) compared to the genes with low expression.
p value 0.0001short cfDNA fragment enrichment among highest-expression genes 19.99 %short cfDNA fragment enrichment among highest-expression genes 16.94-27.13 %
Claim 20associationsupports2024Source 1needs review

Genes with the highest expression are enriched for short cfDNA fragments compared with genes with low expression.

The genes with the highest expression displayed an enrichment of short cfDNA fragments (median = 19.99%, IQR: 16.94-27.13%, p < 0.0001) compared to the genes with low expression.
p value 0.0001short cfDNA fragment enrichment among highest-expression genes 19.99 %short cfDNA fragment enrichment among highest-expression genes 16.94-27.13 %
Claim 21associationsupports2024Source 1needs review

Genes with the highest expression are enriched for short cfDNA fragments compared with genes with low expression.

The genes with the highest expression displayed an enrichment of short cfDNA fragments (median = 19.99%, IQR: 16.94-27.13%, p < 0.0001) compared to the genes with low expression.
p value 0.0001short cfDNA fragment enrichment among highest-expression genes 19.99 %short cfDNA fragment enrichment among highest-expression genes 16.94-27.13 %
Claim 22associationsupports2024Source 1needs review

Genes with the highest expression are enriched for short cfDNA fragments compared with genes with low expression.

The genes with the highest expression displayed an enrichment of short cfDNA fragments (median = 19.99%, IQR: 16.94-27.13%, p < 0.0001) compared to the genes with low expression.
p value 0.0001short cfDNA fragment enrichment among highest-expression genes 19.99 %short cfDNA fragment enrichment among highest-expression genes 16.94-27.13 %
Claim 23associationsupports2024Source 1needs review

Genes with the highest expression are enriched for short cfDNA fragments compared with genes with low expression.

The genes with the highest expression displayed an enrichment of short cfDNA fragments (median = 19.99%, IQR: 16.94-27.13%, p < 0.0001) compared to the genes with low expression.
p value 0.0001short cfDNA fragment enrichment among highest-expression genes 19.99 %short cfDNA fragment enrichment among highest-expression genes 16.94-27.13 %
Claim 24associationsupports2024Source 1needs review

Genes with the highest expression are enriched for short cfDNA fragments compared with genes with low expression.

The genes with the highest expression displayed an enrichment of short cfDNA fragments (median = 19.99%, IQR: 16.94-27.13%, p < 0.0001) compared to the genes with low expression.
p value 0.0001short cfDNA fragment enrichment among highest-expression genes 19.99 %short cfDNA fragment enrichment among highest-expression genes 16.94-27.13 %
Claim 25associationsupports2024Source 1needs review

Genes with the highest expression are enriched for short cfDNA fragments compared with genes with low expression.

The genes with the highest expression displayed an enrichment of short cfDNA fragments (median = 19.99%, IQR: 16.94-27.13%, p < 0.0001) compared to the genes with low expression.
p value 0.0001short cfDNA fragment enrichment among highest-expression genes 19.99 %short cfDNA fragment enrichment among highest-expression genes 16.94-27.13 %
Claim 26associationsupports2024Source 1needs review

Genes with the highest expression are enriched for short cfDNA fragments compared with genes with low expression.

The genes with the highest expression displayed an enrichment of short cfDNA fragments (median = 19.99%, IQR: 16.94-27.13%, p < 0.0001) compared to the genes with low expression.
p value 0.0001short cfDNA fragment enrichment among highest-expression genes 19.99 %short cfDNA fragment enrichment among highest-expression genes 16.94-27.13 %
Claim 27associationsupports2024Source 1needs review

Genes with the highest expression are enriched for short cfDNA fragments compared with genes with low expression.

The genes with the highest expression displayed an enrichment of short cfDNA fragments (median = 19.99%, IQR: 16.94-27.13%, p < 0.0001) compared to the genes with low expression.
p value 0.0001short cfDNA fragment enrichment among highest-expression genes 19.99 %short cfDNA fragment enrichment among highest-expression genes 16.94-27.13 %
Claim 28integration benefitsupports2024Source 1needs review

Combining short cfDNA fragment frequency with distinct fragment end motifs further enriches for the most expressed genes.

Combining the frequency of short cfDNA fragments with the presence of distinct FEMs resulted in an even further enrichment of the most expressed genes (median = 37.85%, IQR: 30.10-39.49%, p < 0.0001).
combined-feature enrichment of most expressed genes 37.85 %combined-feature enrichment of most expressed genes 30.10-39.49 %p value 0.0001
Claim 29integration benefitsupports2024Source 1needs review

Combining short cfDNA fragment frequency with distinct fragment end motifs further enriches for the most expressed genes.

Combining the frequency of short cfDNA fragments with the presence of distinct FEMs resulted in an even further enrichment of the most expressed genes (median = 37.85%, IQR: 30.10-39.49%, p < 0.0001).
combined-feature enrichment of most expressed genes 37.85 %combined-feature enrichment of most expressed genes 30.10-39.49 %p value 0.0001
Claim 30integration benefitsupports2024Source 1needs review

Combining short cfDNA fragment frequency with distinct fragment end motifs further enriches for the most expressed genes.

Combining the frequency of short cfDNA fragments with the presence of distinct FEMs resulted in an even further enrichment of the most expressed genes (median = 37.85%, IQR: 30.10-39.49%, p < 0.0001).
combined-feature enrichment of most expressed genes 37.85 %combined-feature enrichment of most expressed genes 30.10-39.49 %p value 0.0001
Claim 31integration benefitsupports2024Source 1needs review

Combining short cfDNA fragment frequency with distinct fragment end motifs further enriches for the most expressed genes.

Combining the frequency of short cfDNA fragments with the presence of distinct FEMs resulted in an even further enrichment of the most expressed genes (median = 37.85%, IQR: 30.10-39.49%, p < 0.0001).
combined-feature enrichment of most expressed genes 37.85 %combined-feature enrichment of most expressed genes 30.10-39.49 %p value 0.0001
Claim 32integration benefitsupports2024Source 1needs review

Combining short cfDNA fragment frequency with distinct fragment end motifs further enriches for the most expressed genes.

Combining the frequency of short cfDNA fragments with the presence of distinct FEMs resulted in an even further enrichment of the most expressed genes (median = 37.85%, IQR: 30.10-39.49%, p < 0.0001).
combined-feature enrichment of most expressed genes 37.85 %combined-feature enrichment of most expressed genes 30.10-39.49 %p value 0.0001
Claim 33integration benefitsupports2024Source 1needs review

Combining short cfDNA fragment frequency with distinct fragment end motifs further enriches for the most expressed genes.

Combining the frequency of short cfDNA fragments with the presence of distinct FEMs resulted in an even further enrichment of the most expressed genes (median = 37.85%, IQR: 30.10-39.49%, p < 0.0001).
combined-feature enrichment of most expressed genes 37.85 %combined-feature enrichment of most expressed genes 30.10-39.49 %p value 0.0001
Claim 34integration benefitsupports2024Source 1needs review

Combining short cfDNA fragment frequency with distinct fragment end motifs further enriches for the most expressed genes.

Combining the frequency of short cfDNA fragments with the presence of distinct FEMs resulted in an even further enrichment of the most expressed genes (median = 37.85%, IQR: 30.10-39.49%, p < 0.0001).
combined-feature enrichment of most expressed genes 37.85 %combined-feature enrichment of most expressed genes 30.10-39.49 %p value 0.0001
Claim 35integration benefitsupports2024Source 1needs review

Combining short cfDNA fragment frequency with distinct fragment end motifs further enriches for the most expressed genes.

Combining the frequency of short cfDNA fragments with the presence of distinct FEMs resulted in an even further enrichment of the most expressed genes (median = 37.85%, IQR: 30.10-39.49%, p < 0.0001).
combined-feature enrichment of most expressed genes 37.85 %combined-feature enrichment of most expressed genes 30.10-39.49 %p value 0.0001
Claim 36integration benefitsupports2024Source 1needs review

Combining short cfDNA fragment frequency with distinct fragment end motifs further enriches for the most expressed genes.

Combining the frequency of short cfDNA fragments with the presence of distinct FEMs resulted in an even further enrichment of the most expressed genes (median = 37.85%, IQR: 30.10-39.49%, p < 0.0001).
combined-feature enrichment of most expressed genes 37.85 %combined-feature enrichment of most expressed genes 30.10-39.49 %p value 0.0001
Claim 37integration benefitsupports2024Source 1needs review

Combining short cfDNA fragment frequency with distinct fragment end motifs further enriches for the most expressed genes.

Combining the frequency of short cfDNA fragments with the presence of distinct FEMs resulted in an even further enrichment of the most expressed genes (median = 37.85%, IQR: 30.10-39.49%, p < 0.0001).
combined-feature enrichment of most expressed genes 37.85 %combined-feature enrichment of most expressed genes 30.10-39.49 %p value 0.0001
Claim 38integration benefitsupports2024Source 1needs review

Combining short cfDNA fragment frequency with distinct fragment end motifs further enriches for the most expressed genes.

Combining the frequency of short cfDNA fragments with the presence of distinct FEMs resulted in an even further enrichment of the most expressed genes (median = 37.85%, IQR: 30.10-39.49%, p < 0.0001).
combined-feature enrichment of most expressed genes 37.85 %combined-feature enrichment of most expressed genes 30.10-39.49 %p value 0.0001
Claim 39integration benefitsupports2024Source 1needs review

Combining short cfDNA fragment frequency with distinct fragment end motifs further enriches for the most expressed genes.

Combining the frequency of short cfDNA fragments with the presence of distinct FEMs resulted in an even further enrichment of the most expressed genes (median = 37.85%, IQR: 30.10-39.49%, p < 0.0001).
combined-feature enrichment of most expressed genes 37.85 %combined-feature enrichment of most expressed genes 30.10-39.49 %p value 0.0001
Claim 40integration benefitsupports2024Source 1needs review

Combining short cfDNA fragment frequency with distinct fragment end motifs further enriches for the most expressed genes.

Combining the frequency of short cfDNA fragments with the presence of distinct FEMs resulted in an even further enrichment of the most expressed genes (median = 37.85%, IQR: 30.10-39.49%, p < 0.0001).
combined-feature enrichment of most expressed genes 37.85 %combined-feature enrichment of most expressed genes 30.10-39.49 %p value 0.0001
Claim 41integration benefitsupports2024Source 1needs review

Combining short cfDNA fragment frequency with distinct fragment end motifs further enriches for the most expressed genes.

Combining the frequency of short cfDNA fragments with the presence of distinct FEMs resulted in an even further enrichment of the most expressed genes (median = 37.85%, IQR: 30.10-39.49%, p < 0.0001).
combined-feature enrichment of most expressed genes 37.85 %combined-feature enrichment of most expressed genes 30.10-39.49 %p value 0.0001
Claim 42integration benefitsupports2024Source 1needs review

Combining short cfDNA fragment frequency with distinct fragment end motifs further enriches for the most expressed genes.

Combining the frequency of short cfDNA fragments with the presence of distinct FEMs resulted in an even further enrichment of the most expressed genes (median = 37.85%, IQR: 30.10-39.49%, p < 0.0001).
combined-feature enrichment of most expressed genes 37.85 %combined-feature enrichment of most expressed genes 30.10-39.49 %p value 0.0001
Claim 43integration benefitsupports2024Source 1needs review

Combining short cfDNA fragment frequency with distinct fragment end motifs further enriches for the most expressed genes.

Combining the frequency of short cfDNA fragments with the presence of distinct FEMs resulted in an even further enrichment of the most expressed genes (median = 37.85%, IQR: 30.10-39.49%, p < 0.0001).
combined-feature enrichment of most expressed genes 37.85 %combined-feature enrichment of most expressed genes 30.10-39.49 %p value 0.0001
Claim 44integration benefitsupports2024Source 1needs review

Combining short cfDNA fragment frequency with distinct fragment end motifs further enriches for the most expressed genes.

Combining the frequency of short cfDNA fragments with the presence of distinct FEMs resulted in an even further enrichment of the most expressed genes (median = 37.85%, IQR: 30.10-39.49%, p < 0.0001).
combined-feature enrichment of most expressed genes 37.85 %combined-feature enrichment of most expressed genes 30.10-39.49 %p value 0.0001
Claim 45method performancesupports2024Source 1needs review

In vitro size selection of <150 bp cfDNA can isolate cfDNA representing active genes, and the enrichment correlates with cfChIP-seq enrichment.

An in vitro size selection of <150 bp cfDNA could isolate cfDNA representing active genes and the size-selection enrichment correlated with the cfChIP-seq enrichment (Spearman r range: 0.499-0.882, p < 0.0001).
p value 0.0001Spearman correlation with cfChIP-seq enrichment 0.499-0.882
Claim 46method performancesupports2024Source 1needs review

In vitro size selection of <150 bp cfDNA can isolate cfDNA representing active genes, and the enrichment correlates with cfChIP-seq enrichment.

An in vitro size selection of <150 bp cfDNA could isolate cfDNA representing active genes and the size-selection enrichment correlated with the cfChIP-seq enrichment (Spearman r range: 0.499-0.882, p < 0.0001).
p value 0.0001Spearman correlation with cfChIP-seq enrichment 0.499-0.882
Claim 47method performancesupports2024Source 1needs review

In vitro size selection of <150 bp cfDNA can isolate cfDNA representing active genes, and the enrichment correlates with cfChIP-seq enrichment.

An in vitro size selection of <150 bp cfDNA could isolate cfDNA representing active genes and the size-selection enrichment correlated with the cfChIP-seq enrichment (Spearman r range: 0.499-0.882, p < 0.0001).
p value 0.0001Spearman correlation with cfChIP-seq enrichment 0.499-0.882
Claim 48method performancesupports2024Source 1needs review

In vitro size selection of <150 bp cfDNA can isolate cfDNA representing active genes, and the enrichment correlates with cfChIP-seq enrichment.

An in vitro size selection of <150 bp cfDNA could isolate cfDNA representing active genes and the size-selection enrichment correlated with the cfChIP-seq enrichment (Spearman r range: 0.499-0.882, p < 0.0001).
p value 0.0001Spearman correlation with cfChIP-seq enrichment 0.499-0.882
Claim 49method performancesupports2024Source 1needs review

In vitro size selection of <150 bp cfDNA can isolate cfDNA representing active genes, and the enrichment correlates with cfChIP-seq enrichment.

An in vitro size selection of <150 bp cfDNA could isolate cfDNA representing active genes and the size-selection enrichment correlated with the cfChIP-seq enrichment (Spearman r range: 0.499-0.882, p < 0.0001).
p value 0.0001Spearman correlation with cfChIP-seq enrichment 0.499-0.882
Claim 50method performancesupports2024Source 1needs review

In vitro size selection of <150 bp cfDNA can isolate cfDNA representing active genes, and the enrichment correlates with cfChIP-seq enrichment.

An in vitro size selection of <150 bp cfDNA could isolate cfDNA representing active genes and the size-selection enrichment correlated with the cfChIP-seq enrichment (Spearman r range: 0.499-0.882, p < 0.0001).
p value 0.0001Spearman correlation with cfChIP-seq enrichment 0.499-0.882
Claim 51method performancesupports2024Source 1needs review

In vitro size selection of <150 bp cfDNA can isolate cfDNA representing active genes, and the enrichment correlates with cfChIP-seq enrichment.

An in vitro size selection of <150 bp cfDNA could isolate cfDNA representing active genes and the size-selection enrichment correlated with the cfChIP-seq enrichment (Spearman r range: 0.499-0.882, p < 0.0001).
p value 0.0001Spearman correlation with cfChIP-seq enrichment 0.499-0.882
Claim 52method performancesupports2024Source 1needs review

In vitro size selection of <150 bp cfDNA can isolate cfDNA representing active genes, and the enrichment correlates with cfChIP-seq enrichment.

An in vitro size selection of <150 bp cfDNA could isolate cfDNA representing active genes and the size-selection enrichment correlated with the cfChIP-seq enrichment (Spearman r range: 0.499-0.882, p < 0.0001).
p value 0.0001Spearman correlation with cfChIP-seq enrichment 0.499-0.882
Claim 53method performancesupports2024Source 1needs review

In vitro size selection of <150 bp cfDNA can isolate cfDNA representing active genes, and the enrichment correlates with cfChIP-seq enrichment.

An in vitro size selection of <150 bp cfDNA could isolate cfDNA representing active genes and the size-selection enrichment correlated with the cfChIP-seq enrichment (Spearman r range: 0.499-0.882, p < 0.0001).
p value 0.0001Spearman correlation with cfChIP-seq enrichment 0.499-0.882
Claim 54method performancesupports2024Source 1needs review

In vitro size selection of <150 bp cfDNA can isolate cfDNA representing active genes, and the enrichment correlates with cfChIP-seq enrichment.

An in vitro size selection of <150 bp cfDNA could isolate cfDNA representing active genes and the size-selection enrichment correlated with the cfChIP-seq enrichment (Spearman r range: 0.499-0.882, p < 0.0001).
p value 0.0001Spearman correlation with cfChIP-seq enrichment 0.499-0.882

Approval Evidence

1 source2 linked approval claimsfirst-pass slug cfdna-fragmentomics-evaluation
In this study, we conducted cfDNA fragmentomics evaluations using plasma from lung cancer patients (n = 12) and healthy individuals (n = 7).

Source:

associationsupports

Genes with the highest expression are enriched for short cfDNA fragments compared with genes with low expression.

The genes with the highest expression displayed an enrichment of short cfDNA fragments (median = 19.99%, IQR: 16.94-27.13%, p < 0.0001) compared to the genes with low expression.

Source:

integration benefitsupports

Combining short cfDNA fragment frequency with distinct fragment end motifs further enriches for the most expressed genes.

Combining the frequency of short cfDNA fragments with the presence of distinct FEMs resulted in an even further enrichment of the most expressed genes (median = 37.85%, IQR: 30.10-39.49%, p < 0.0001).

Source:

Comparisons

Source-backed strengths

The reported strength is multifeature integration: combining short cfDNA fragment frequency with distinct fragment end motifs further enriched for the most expressed genes. The study was applied to human plasma samples from both lung cancer patients (n = 12) and healthy individuals (n = 7), providing initial validation across two sample groups.

cfDNA fragmentomics evaluation and H3K36me3 cfChIP followed by droplet digital PCR address a similar problem space because they share selection.

Shared frame: same top-level item type; shared target processes: selection

cfDNA fragmentomics evaluation and high throughput screening address a similar problem space because they share selection.

Shared frame: same top-level item type; shared target processes: selection

cfDNA fragmentomics evaluation and whole genome screening of gene knockout mutants address a similar problem space because they share selection.

Shared frame: same top-level item type; shared target processes: selection

Ranked Citations

  1. 1.
    StructuralSource 1International Journal of Molecular Sciences2024Claim 7Claim 10Claim 7

    Extracted from this source document.