PHG Foundation asks whether genomic sequencing is approaching 'near-perfect' accuracy
A new PHG Foundation commentary examines how recent sequencing technology advances are reshaping expectations of what constitutes adequate genomic testing.
The PHG Foundation at the University of Cambridge has published a commentary exploring whether the field of genomic testing is approaching a threshold that could reasonably be described as 'near-perfect' sequencing. The piece examines how improvements in long-read sequencing, base-calling algorithms, and error-correction pipelines are changing the standards against which clinical and research-grade genome sequencing is judged.
The commentary raises conceptual and policy questions about what 'near-perfect' would mean in practice: which error types matter most, how variant classes that remain technically difficult to resolve (such as structural variants in repetitive regions, or methylation states) factor into any such definition, and whether the framing itself risks obscuring remaining limitations.
For researchers and genetic counsellors, the piece is relevant to ongoing discussions about sequencing depth, diagnostic yield, and the interpretation of variants of uncertain significance. For educators and students, it offers a useful framing for understanding how technological benchmarks in genomics are set, contested, and revised over time.
The PHG Foundation positions the commentary as a prompt for field-wide discussion rather than a policy recommendation. No specific sequencing platform or vendor is endorsed.
Plain-language version
For patients, families, and general readers. Educational only — not medical advice.
Scientists who study how we read DNA — a process called genome sequencing — are asking whether the technology has become so accurate that it can be described as 'near-perfect'. A commentary published by the PHG Foundation, a policy research group based at the University of Cambridge, looks at how dramatically the technology has improved in recent years and what questions remain.
Reading someone's complete genetic code used to involve many small errors. Newer methods make far fewer mistakes, but some types of DNA are still difficult to read reliably. The commentary explores what 'near-perfect' would really mean, and whether using that phrase might give the wrong impression.
This is an educational summary, not medical advice. If anything here raises questions for you, please speak with your GP or a clinical professional.
Sources
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Primary source PHG Foundation · 2026-08-14Redefining genomic testing: is it time to talk about 'near-perfect' sequencing?