Chapter 7: Applications of ddPCR in Genomic Analysis
Digital PCR (ddPCR) enables absolute quantification of nucleic acids without the need for calibration curves.
This makes it a powerful tool in genomic applications where precision is critical, such as:
- Copy Number Variation (CNV) detection
- Rare allele or mutation detection
Copy Number Variation (CNV) Detection
Copy Number Variation (CNV) refers to a gain or loss of gene copies in the genome. ddPCR quantifies the number of gene copies in a sample and compares it to a reference gene with known normal copy number (usually 2).
The relative copy number is calculated as:
\[ \text{Copy Ratio} = \frac{\text{Target Gene Concentration}}{\text{Reference Gene Concentration}} \]
Example:
target <- 10.1 # estimated concentration of target gene (copies/μL)
reference <- 5.0 # estimated concentration of reference gene (copies/μL)
copy_ratio <- target / reference
round(copy_ratio, 2)
## [1] 2.02
Interpretation
Copy Ratio | Interpretation |
---|---|
~1.0 | Normal diploid copy |
~0.5 | Heterozygous deletion |
~2.0 | Gene duplication |
ddPCR is especially useful for detecting subtle CNVs that may not be distinguishable by qPCR or arrays.
Rare Allele Detection
ddPCR can detect low-frequency mutations, even at < 0.1% mutant allele frequency (MAF). This is crucial for applications such as:
- Detecting resistance mutations in cancer (e.g., EGFR T790M)
- Tracking minimal residual disease (MRD)
- Analyzing circulating tumor DNA (ctDNA)
Dual-probe strategy
Each droplet is tested for both:
- Wild-type (WT) using one probe (e.g., HEX)
- Mutant (MT) using another probe (e.g., FAM)
- The Mutant Allele Frequency (MAF) is calculated as:
\[ \text{MAF} = \frac{\text{Mutanat Copies}}{\text{Mutant Copies + Wild-Type Copies}} \]
Example:
## [1] 0.6
This demonstrates ddPCR’s ability to detect rare mutations in a background of wild-type DNA.
Summary
Application | Measurement | ddPCR Advantage |
---|---|---|
CNV Detection | Copy ratio (Target / Reference) | Absolute quantification without a standard curve |
Rare Allele Detection | Mutant Allele Frequency (MAF) | Sensitive detection of <0.1% MAF |