Methods for multi-resolution analysis of cell-free nucleic acids
Inventors
Chudova, Darya • Eltoukhy, Helmy • MORTIMER, Stefanie Ann Ward • Abdueva, Diana
Assignees
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Abstract
The present disclosure provides a method for enriching for multiple genomic regions using a first bait set that selectively hybridizes to a first set of genomic regions of a nucleic acid sample and a second bait set that selectively hybridizes to a second set of genomic regions of the nucleic acid sample. These bait set panels can selectively enrich for one or more nucleosome-associated regions of a genome, said nucleosome-associated regions comprising genomic regions having one or more genomic base positions with differential nucleosomal occupancy, wherein the differential nucleosomal occupancy is characteristic of a cell or tissue type of origin or disease state.
Core Innovation
The invention provides a method for multi-resolution analysis of cell-free DNA (cfDNA). The method includes providing a sample comprising cfDNA and enriching cfDNA, or amplification products thereof, from hotspot regions and backbone regions using a bait set panel. The bait set panel preferentially enriches the hotspot regions compared to the backbone regions, where the backbone regions are larger genomic regions compared to the hotspot regions.
After enrichment, the method sequences the enriched set of nucleic acids, or amplification products thereof. The enrichment produces higher average read depth for the hotspot regions compared to the average read depth for the backbone regions. The multi-resolution aspect partitions genomic analysis into hotspot regions and larger backbone regions, enabling differential capture and read depth across resolutions.
The document further describes multi-resolution cfDNA analysis in terms of nucleosome-associated genomic regions and differential nucleosomal occupancy. Nucleosome-associated regions are defined by differential nucleosomal occupancy characteristic of a cell/tissue type of origin or disease state, and the bait panels include multi-bait schemes for enriching hotspot genomic regions versus backbone genomic regions with saturation-controlled probe concentrations.
In addition to enrichment and sequencing, the document describes improving indel-calling accuracy using hypothesis testing with model parameters to classify candidate indels as true indels versus introduced indels. The approach accounts for sequencing and amplification-related errors, and it references analytical performance improvements assessed using hotspot/backbone titration experiments and analytical sensitivity/specificity/PPV metrics.
Claims Coverage
The identified independent claim is directed to a multi-resolution cfDNA analysis method using hotspot versus backbone enrichment with a bait set panel, followed by sequencing. The claim set further includes inventive features for target-specific oligonucleotides, saturation-controlled capture, read-depth constraints, variant detection with comparative sensitivity, and an alternative nucleosome-associated enrichment basis.
Hotspot-versus-backbone bait panel enrichment for differential read depth
Enriching cfDNA, or amplification products thereof, from hotspot regions and backbone regions using a bait set panel that preferentially enriches hotspot regions compared to backbone regions, with higher average read depth for hotspot regions than for backbone regions.
Sequencing enriched hotspot and backbone nucleic acids
Sequencing the enriched set of nucleic acids, or amplification products thereof, after hotspot and backbone enrichment with the preferential bait set panel.
Target-specified bait set panel oligonucleotides
Using a bait set panel in which the baits are target-specific oligonucleotides.
Hotspot saturation and backbone below-saturation capture constraints
Providing baits such that hotspot-region DNA is captured at saturation while backbone-region DNA is captured below saturation, based on a predetermined amount of cfDNA in the sample.
Read depth range for sequencing hotspot and/or backbone regions
Sequencing the hotspot regions and/or backbone regions to a read depth between 1,000 counts/base and 50,000 counts/base.
Genetic variant detection with hotspot higher sensitivity
Detecting a genetic variant in a sample with higher detection sensitivity for genetic variants in hotspot regions than for genetic variants in backbone regions.
Nucleosome-associated regions defined by differential nucleosomal occupancy
Using baits that selectively enrich genome regions associated with nucleosomes, where those regions have base positions with differential nucleosomal occupancy indicative of a particular cell or tissue origin or disease state.
The coverage centers on preferential bait-based enrichment of hotspot regions versus larger backbone regions to achieve differential read depth, followed by sequencing. The dependent features further specify target-specific oligonucleotides, saturation-controlled hotspot versus backbone capture, sequencing read-depth constraints, comparative sensitivity for genetic variant detection, and enrichment based on nucleosome-associated regions defined by differential nucleosomal occupancy.
Stated Advantages
Enrichment that results in higher average read depth for hotspot regions compared to average read depth for backbone regions.
Higher detection sensitivity for genetic variants in hotspot regions than for genetic variants in backbone regions.
Improved indel-calling accuracy by classifying candidate indels as true indels versus introduced indels using hypothesis testing with model parameters.
Documented Applications
Multi-resolution analysis of cfDNA using hotspot regions versus backbone regions with preferential bait-panel enrichment and sequencing.
Enrichment and analysis of nucleosome-associated genomic regions defined by differential nucleosomal occupancy characteristic of a cell/tissue type of origin or disease state.
Variant detection from cfDNA with greater sensitivity in hotspot regions than in backbone regions.
Indel-calling accuracy improvement for candidate indels in the context of cfDNA analysis, distinguishing true indels from introduced indels.
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