Patent No. US10704085 (titled "Systems and methods to detect rare mutations and copy number variation") on Sep 18, 2019. The application was issued on Jul 7, 2020.
’085 is related to the field of molecular biology and medical diagnostics, specifically the detection and quantification of rare genetic alterations in cell-free polynucleotides. The technology addresses the challenge of identifying low-frequency mutations and copy number variations (CNVs) within a background of normal germline DNA, which is critical for early cancer detection, disease monitoring, and personalized therapy selection.
The underlying idea behind ’085 is to overcome the inherent noise and distortion of next-generation sequencing by using a high-efficiency molecular tagging and consensus-building strategy. By attaching unique or non-unique identifiers to individual parent molecules before amplification, the system can track progeny reads back to their original source, allowing the software to distinguish between true biological variants and errors introduced during PCR or the sequencing process itself.
The claims of ’085 focus on a method for generating a genetic profile of a tumor by ligating molecular barcodes to both ends of double-stranded cell-free DNA (cfDNA) molecules. The process requires a high-efficiency conversion where at least 20% of the starting molecules are tagged, utilizing a significant molar excess of barcodes. These tagged molecules are then amplified, selectively enriched for cancer-associated target regions, and sequenced to produce reads that are grouped into families based on their barcodes and genomic start/stop positions.
In practice, the invention functions by collapsing these families of sequence reads into consensus sequences. By comparing multiple reads derived from the same parent molecule, the system filters out random sequencing artifacts, effectively increasing the sensitivity of the assay to detect somatic variants at frequencies as low as 0.1%. This digital approach allows for the simultaneous quantification of multiple genetic variants, providing a comprehensive snapshot of a tumor’s genetic heterogeneity from a simple blood draw.
This methodology differs from prior approaches by prioritizing high conversion efficiency and family-based error correction over simple depth of coverage. Traditional sequencing often loses the majority of starting fragments during library preparation, making it difficult to detect rare molecules; however, this invention ensures that a vast majority of the haploid genome equivalents are represented. By using molecular barcodes and consensus sequences to eliminate amplification bias, the system provides a much clearer signal for identifying somatic genetic variants that would otherwise be masked by technical noise.
In the mid-2010s when ’085 was filed, the analysis of cell-free nucleic acids 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 protocols, distinguishing rare genetic alterations from stochastic sequencing noise was non-trivial due to the low concentration of target variants within a high background of wild-type DNA. Furthermore, hardware and software constraints made the high-resolution detection of sub-chromosomal copy number variations difficult, as computational pipelines often lacked the sensitivity to normalize representational biases introduced during library preparation and amplification.
The disclosed invention represents a technical advancement through the integration of molecular tagging and computational collapsing techniques to improve the fidelity of cell-free DNA analysis. By attaching barcodes to parent polynucleotides prior to amplification and subsequently collapsing the resulting progeny reads into consensus sequences, the architecture enables the identification and removal of errors introduced during the sequencing process. This structural approach achieves a significant technical effect by enabling the detection of rare mutations and copy number variations with a sensitivity exceeding the raw error rate of the sequencing platform. The advancement is characterized by an architectural shift from simple read counting to a consensus-based modeling system that overcomes the technical constraints of signal-to-noise ratios in liquid biopsy applications.
This patent contains 30 claims, with claims 1 and 16 serving as the independent claims. The independent claims focus on methods for generating genetic profiles of tumors and quantifying somatic genetic variants from cell-free DNA in bodily fluids by utilizing high-efficiency ligation with a significant molar excess of molecular barcodes to tag, amplify, and sequence nucleic acid molecules. The dependent claims serve to specify technical parameters such as sample concentrations, barcode set sizes, and ligation efficiencies, while also detailing downstream data processing steps like sequence alignment, family grouping, consensus sequence generation, and the identification of specific variant types to inform medical treatment regimens.
Definitions of key terms used in the patent claims.
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