Patent No. US9902992 (titled "Systems and methods to detect rare mutations and copy number variation") on Mar 21, 2016. The application was issued on Feb 27, 2018.
’992 is related to the field of molecular diagnostics and bioinformatics, specifically focusing on the high-sensitivity detection of genetic aberrations within cell-free DNA (cfDNA). The technology addresses the challenge of identifying rare mutations and copy number variations that are often obscured by the inherent noise and distortion produced during standard sequencing library preparation and amplification processes.
The underlying idea behind ’992 is to treat polynucleotide sequencing as a communication theory problem, where the original DNA molecules are messages that must be decoded from a noisy signal. By utilizing a high-efficiency tagging process and grouping sequence reads into families derived from the same original molecule, the system can distinguish true biological variants from artifacts introduced by PCR or sequencing errors through the generation of consensus sequences.
The claims of ’992 focus on a method for detecting a diverse set of genetic aberrations by ligating barcoded adaptors to both ends of cfDNA molecules with high efficiency. The process requires using a significant molar excess of adaptors to ensure at least 20% of the initial molecules are tagged, followed by amplifying and sequencing these molecules to produce multiple reads for each original parent polynucleotide.
In practice, the invention works by mapping these reads to a reference human genome and organizing them into families based on their unique barcode sequences. By collapsing these families, the system yields a highly accurate base call for each original molecule at specific genetic loci. This error-reduction mechanism allows for the simultaneous detection of multiple mutation types, including single base substitutions, indels, gene fusions, and copy number variations, from a single bodily sample.
This approach differs from prior methods by significantly increasing the conversion efficiency of the library preparation, ensuring that rare molecules are not lost before sequencing begins. While traditional sequencing often struggles with a high background error rate, this method uses familial grouping to filter out stochastic noise, enabling the detection of mutations at frequencies as low as 0.1%, which is critical for early cancer detection and monitoring treatment response.
In the early 2010s when ’992 was filed, the analysis of cell-free DNA for diagnostic purposes was typically implemented using high-throughput sequencing platforms that were subject to inherent per-base error rates. At a time when systems commonly relied on standard mapping and quantification of raw sequence reads, distinguishing rare genetic alterations from stochastic sequencing noise was non-trivial. Engineering constraints in library preparation and amplification often introduced representational biases, making the precise detection of low-frequency somatic mutations or subtle copy number variations difficult when working with the limited quantities of fragmented polynucleotides typically found in bodily fluids.
The disclosed invention represents a technical advancement through the integration of molecular tagging and computational collapsing to improve the fidelity of cell-free polynucleotide analysis. By attaching barcodes to parent polynucleotides prior to amplification and subsequently collapsing the resulting progeny reads into consensus sequences, the architecture enables the differentiation of true biological variants from errors introduced during sequencing or amplification. This structural approach overcomes the technical constraint of high background noise, enabling the detection of rare mutations and copy number variations with a sensitivity exceeding the raw error rate of the sequencing platform. The system achieves a significant capability shift by providing a statistical framework for normalizing read counts across predefined genomic regions, allowing for the characterization of genetic heterogeneity and disease progression from non-invasive samples.
The patent contains a total of 33 claims, with claim 1 serving as the sole independent claim. This independent claim focuses on a method for detecting multiple types of genetic aberrations in cell-free DNA by utilizing high-efficiency barcode tagging, molar excess ligation, and family-based sequence read collapsing to identify variations such as base substitutions, copy number changes, indels, and gene fusions. The dependent claims serve to specify technical parameters and variations of the process, including specific DNA input amounts, barcode lengths and types, enrichment strategies for particular genes, sequencing depth requirements, and the specific combinations or sensitivities of the genetic aberrations being detected.
Definitions of key terms used in the patent claims.
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