Chromosome Interaction Biomarkers for Personalized Physical Performance Typing
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Solution Overview
Problem
Current methods are inadequate for predicting physical performance and do not provide personalized or sensitive assessments of an individual's physical capabilities, such as strength and endurance, which are crucial for fitness and sports medicine applications.
Innovation Solution
A process for detecting chromosome interactions relevant to physical performance by analyzing subgroups within a population, using nucleic acid hybridization to identify specific chromosome states, which can be used to type and modulate physical performance through personalized training regimes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current prediction methods are used to assess physical performance, then the assessment process is simple, but the measurement precision and sensitivity are insufficient
Solution Approach 1:
The patent segments the complex chromosome interaction analysis into distinct operational phases: chromatin preparation, proximity ligation reaction, and detection. Each phase is optimized independently, allowing the system to achieve high measurement precision while managing complexity through structured workflow division.
Solution Approach 2:
The patent introduces intermediary molecules including adapter sequences and linker sequences that mediate between the chromatin DNA and detection systems. These intermediaries enable specific detection of chromosome interactions without requiring direct complex interactions, thereby improving measurement precision while maintaining operational feasibility.
2Adaptability or versatility
If genomic or protein typing methods are used, then the methodology is established, but the personalization and sensitivity for physical performance assessment are insufficient
Solution Approach 1:
The patent applies local quality by focusing detection on specific chromosomal regions and interactions that are locally relevant to physical performance traits. Rather than analyzing the entire genome uniformly, the method targets specific loci and chromosome conformation patterns that have localized effects on performance-related gene expression.
Solution Approach 2:
The patent utilizes parameter changes in chromosome conformation and spatial organization as biomarkers for physical performance subgroups. By detecting changes in chromatin accessibility, loop formation, and three-dimensional genome architecture, the method achieves high personalization and sensitivity in identifying individual performance profiles.
3Measurement precision
If chromosome interaction analysis is performed to achieve personalized physical performance detection, then sensitivity and personalization improve, but the complexity of the detection process increases
Solution Approach 1:
The patent performs preliminary actions by preparing chromatin in advance and pre-annealing adapter sequences before the main detection reaction. This preliminary processing simplifies the subsequent detection steps and makes the overall process more manageable, reducing operational complexity while maintaining high measurement precision.
Solution Approach 2:
The patent merges multiple detection objectives into a single integrated chromosome interaction analysis framework. By combining the detection of various chromatin features, loop structures, and spatial patterns into one unified assay, the method achieves comprehensive personalization without requiring multiple separate complex procedures.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables sensitive and personalized detection of physical performance, allowing for tailored training programs and selection of individuals for specific physical tasks, predicting high strength or endurance, and monitoring training responses.
Implementation Method 1
contacting a first set of nucleic acids from subgroups with different states of the chromosome with a second set of index nucleic acids, and allowing complementary sequences to hybridise
Data Source
AI summary
A process for analysing chromosome regions and interactions relating to physical performance.