Genomics App Coordination for Secure Polygenic Trait Prediction
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Solution Overview
Problem
The process of correlating specific variations in the genome with specific phenotypes for traits is complex and time-consuming, leading to inconsistent and potentially insecure trait prediction services, which often require sharing genetic records across multiple entities, increasing the risk of data theft and lack of quality assurance.
Innovation Solution
A centralized genomic repository maintains genetic records and polygenic models, allowing users to access multiple partner applications through a single genomics application, ensuring quality and security by storing genetic records safely while providing tailored trait predictions from various entities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple entities provide trait prediction services independently, then service diversity and adaptability are improved, but data security and quality assurance deteriorate due to widespread sharing of genetic records
Solution Approach 1:
The patent introduces a centralized genomics application as an intermediary layer between users and multiple partner applications. Genetic records remain securely stored in the user's device or authorized repository, while the genomics application acts as a controlled gateway that selectively shares data with partner applications based on user consent and predefined access policies. This mediator architecture enables service diversity through multiple partners while maintaining data security through centralized control.
Solution Approach 2:
The system segments the trait prediction service into distinct modular components: a core genomics application that manages genetic records and coordinates predictions, and multiple independent partner applications that provide specialized prediction services. Each partner application focuses on specific traits or functionalities, allowing service diversity while the centralized coordination maintains security and quality standards across all partners.
2Adaptability or versatility
If users subscribe to multiple services for comprehensive trait predictions, then prediction coverage and adaptability are improved, but system complexity and ease of operation deteriorate due to multiple accounts and data sharing requirements
Solution Approach 1:
The genomics application serves as a universal platform that consolidates access to multiple partner applications through a single interface. Users subscribe to one genomics service that coordinates with numerous partner applications, each specializing in different trait predictions. The genomics application handles authentication, data management, and coordination centrally, providing comprehensive prediction coverage while maintaining simple single-point access for users.
Solution Approach 2:
The system merges multiple partner applications and their prediction capabilities into a unified genomics application interface. Instead of requiring users to separately access multiple services, the genomics application combines functionality from various partners into a single coordinated system, enabling comprehensive trait predictions through one subscription and interface while managing all data sharing relationships centrally.
3Measurement precision
If genetic records are shared across multiple entities for comprehensive predictions, then prediction accuracy and adaptability are improved, but loss of information and security risks increase
Solution Approach 1:
The genomics application serves as a trusted intermediary that manages genetic record access. Instead of directly sharing genetic records with multiple partner entities, the genomics application selectively provides only the specific prediction results needed by each partner. This intermediary approach enables comprehensive predictions through coordinated processing by multiple partners while preventing widespread distribution of sensitive genetic data, thereby maintaining security and reducing information loss risks.
Solution Approach 2:
The system extracts and processes only the specific genetic information needed for each prediction type, rather than sharing complete genetic records with all partners. The genomics application coordinates with partner applications to obtain predictions based on relevant genetic markers, extracting only necessary insights while leaving the full genetic records secure and centralized, thus achieving prediction accuracy without proportional security risks.
Data Source
AI summary
Systems and methods are provided for trait prediction coordination. One embodiment is a method that includes launching a genomics application at a user device, receiving a command to present a partner application within the genomics application, selecting characteristics to predict for an individual, based on an identifier that distinguishes the partner application from other partner applications, operating polygenic models that generate predictions for the characteristics based on genetic records for the individual, acquiring media for the partner application, based on the predictions, and operating the partner application to update a display at the user device with the media, thereby providing the predictions in a format specific to the partner application.