Machine assay and analysis for selecting antihypertensive drugs
Inventors
Snyder, Eric • Sprissler, Ryan • Snyder, Scott C.
Assignees
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Publication Number
US-11761043-B2
Publication Date
2023-09-19
Expiration Date
Abstract
The invention relates to improved methods, devices, and kits for identifying and implementing an appropriate treatment regimen for subjects suffering from hypertension.
Core Innovation
The invention relates to individualized antihypertensive drug selection for a subject suspected of having high blood pressure by obtaining a test sample, determining one or more single nucleotide polymorphisms (SNPs) present, and using a computing system to translate the detected SNPs into predicted functional responsiveness to drug classes. It determines functional score values for individual SNPs based on responsiveness of subjects in which the individual SNPs are present to one or more classes of drugs, and assigns weighting values indicating a degree of certainty of SNP functionality. The system then calculates a weighted score for the individual SNPs using the functional scores and the weighting values.
The invention further analyzes the one or more weighted scores with respect to a number of organ systems to determine an organ system having a greatest amount of functionality with respect to the subject. Based on the determined organ system, the computing system determines one or more drugs that correspond to the organ system and that are provided to treat high blood pressure. The treatment recommendation includes at least one drug of the one or more drugs based on an amount of functionality of the at least one drug with respect to the one or more SNPs.
The disclosed framework is configured to present the treatment recommendation in a user interface, and the described embodiments include non-transitory computer-readable medium instructions and a device having memory and processing circuitry to perform the genetic-data acquisition, SNP weighting, weighted scoring, organ-system functionality analysis, drug determination, and user-interface presentation. Dependent features refine the scoring and analysis by defining SNP functionality categories, adjusting functional scoring based on homozygosity versus heterozygosity, and narrowing organ-system evaluation to cardiac, renal, and vascular systems to determine where drug response will be greatest.
Claims Coverage
The independent claims are directed to a method, a non-transitory computer-readable medium, and a device for genotype-guided antihypertensive drug selection. Across the independent claims, the core inventive content comprises functional-score computation from SNPs, certainty-based SNP weighting, weighted SNP scoring by organ system, and drug selection presented as a treatment recommendation.
Certainty-weighted SNP functional scoring for antihypertensive selection
assigning weighting values to the one or more SNPs detected within the test sample, wherein the weighting values indicate a degree of certainty of the functionality of the one or more SNPs; determining a weighted score for the individual SNPs of the one or more SNPs based on the functional score and the weighting values
Organ-system functionality determination for drug class correspondence
analyzing, by the computing system, the one or more weighted scores with respect to a number of organ systems to determine an organ system having a greatest amount of functionality with respect to the subject; determining one or more drugs that correspond to the organ system and that are provided to treat high blood pressure
Treatment recommendation based on drug functionality relative to SNPs
determining, by the computing system, a treatment recommendation for the subject that includes at least one drug of the one or more drugs based on an amount of functionality of the at least one drug with respect to the one or more SNPs; presenting, by the computing system, the treatment recommendation in a user interface
Non-transitory computer-readable medium implementing weighted SNP organ-system drug recommendation
obtain genetic data of a patient suspected of having high blood pressure; assign weighting values to the one or more SNPs detected within the test sample, wherein the weighting values indicate a degree of certainty of the functionality of the one or more SNPs; determine a weighted score for the individual SNPs of the one or more SNPs based on the functional score and the weighting values; analyze the one or more weighted scores with respect to a number of organ systems to determine an organ system having a greatest amount of functionality with respect to the subject; determine one or more drugs that correspond to the organ system and that are provided to treat high blood pressure; determine a treatment recommendation for the subject that includes at least one drug of the one or more drugs based on an amount of functionality of the at least one drug with respect to the one or more SNPs; present the treatment recommendation in a user interface
Device for storing SNP genetic data and producing user-interface treatment recommendations
memory to store genetic data corresponding to a sample of a patient suspected of having high blood pressure, the genetic data indicating one or more single nucleotide polymorphisms (SNPs) present in the subject; processing circuitry configured to: assign weighting values to the one or more SNPs detected within the test sample, wherein the weighting values indicate a degree of certainty of the functionality of the one or more SNPs; determine a weighted score for the individual SNPs of the one or more SNPs based on the functional score and the weighting values; analyze the one or more weighted scores with respect to a number of organ systems to determine an organ system having a greatest amount of functionality with respect to the subject; determine one or more drugs that correspond to the organ system and that are provided to treat high blood pressure; determine a treatment recommendation for the subject that includes at least one drug of the one or more drugs based on an amount of functionality of the at least one drug with respect to the one or more SNPs; present the treatment recommendation in a user interface
The independent claims consistently cover a computation that converts detected SNPs into functional SNP scores, applies certainty-weighting to those SNPs, determines an organ system with greatest functionality based on the weighted scores, and selects one or more drugs corresponding to that organ system to generate a treatment recommendation that is presented in a user interface.
Stated Advantages
Documented Applications
Not explicitly described in patent.
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