Genetic Scoring Method for Multifactorial Disease Risk Prediction
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Solution Overview
Problem
Current methods are inadequate for accurately determining an individual's risk of developing or exhibiting multifactorial medical conditions, such as complex diseases, due to the complexity of genetic and environmental interactions, and they often fail to predict therapeutic responses effectively.
Innovation Solution
A method involving the determination of a score based on genotypic information from multiple biallelic polymorphic loci, compared to threshold values, which includes identifying associated alleles through association studies and using this information to assess risk and guide treatment decisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If genetic analysis methods are used to determine individual risk of multifactorial conditions, then prediction accuracy improves, but the complexity of analyzing multiple genetic factors and their interactions increases
Solution Approach 1:
The patent segments the complex genetic analysis into discrete scoring components, where each genetic factor or combination of factors contributes a specific score. This segmentation allows the complex interaction of multiple genetic factors to be broken down into manageable, quantifiable units that can be systematically evaluated and summed to produce an overall risk score.
Solution Approach 2:
The patent transforms the complex qualitative assessment of genetic risk into a quantitative parameter system. By assigning numerical scores to different genetic factors and their interactions, the method converts complex genetic data into a simplified numerical risk score that can be objectively compared against thresholds, thereby maintaining prediction accuracy while reducing analytical complexity.
2Loss of information
If multiple genetic loci are analyzed to assess multifactorial traits, then the completeness of genetic assessment improves, but the difficulty of determining individual contributions and interactions increases
Solution Approach 1:
The patent merges the analysis of multiple genetic loci into a unified scoring system. Instead of attempting to separately determine and interpret the individual contribution of each genetic factor, the method combines them into a cumulative risk score where each locus contributes additively or interactively to the overall assessment, simplifying the measurement process while preserving genetic information completeness.
Solution Approach 2:
The patent introduces a scoring mechanism as an intermediary between raw genetic data and clinical interpretation. This scoring system acts as a mediator that processes complex genetic information from multiple loci, automatically accounting for their relative contributions and interactions, thereby reducing the difficulty of interpreting individual factor contributions while maintaining comprehensive genetic assessment.
3Object-affected harmful factors
If pharmacogenetic markers are used to predict drug response, then safety improvements are achieved, but the percentage of toxicities explained remains limited
Solution Approach 1:
The patent creates a universal scoring framework that can evaluate multiple genetic factors across different drug responses and multifactorial conditions. This multi-functional approach allows the same scoring system to assess various pharmacogenetic markers and their combined effects, improving prediction reliability for drug response while maintaining safety benefits by comprehensively evaluating genetic risk factors.
Data Source
Figure 1
AI summary
Methods of treating an individual exhibiting a medical condition are disclosed. The methods involve determining a score of an individual based on the individual's genotypic information, comparing the score to at least one threshold value, wherein the result of the comparison is indicative of a beneficial response to a treatment, and providing a suitable treatment to the individual.