Correlating NGS Success With Sample Input Quality: A Large Scale Study

Maintaining high-quality DNA is essential for reliable next‑generation sequencing, and incorporating objective quality control early in the workflow can prevent costly sequencing failures. A large‑scale study of 4,000 blood and tumor samples demonstrates how DNA Integrity Number (DIN) values offer a clear, data‑driven way to assess whether genomic DNA is suitable for sequencing. Higher DIN scores consistently correlate with stronger sequencing performance, while lower scores reveal declining coverage and a greater likelihood of failure. The findings also highlight that optimal DIN thresholds vary by sample type—blood samples show predictable quality cutoffs, whereas tumor samples require more nuanced interpretation. By using DIN‑based thresholds to triage samples before library prep, researchers can streamline preparation, reduce waste, and improve overall sequencing success.

Explore the full application note to see how DIN can strengthen QC decisions in your own NGS workflows.