Dynamic Genome Reference for NGS Variant Detection

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Solution Overview

Problem

Current DNA sequencing technologies face a bottleneck due to exponentially increasing data volumes, and the static human reference genome fails to represent human diversity adequately, introducing biases in variant detection.

Innovation Solution

A dynamic genome reference is generated using an automatically updated database of genetic variants, which is processed by a Next Generation Sequencing (NGS) bioinformatics ASIC to improve alignment accuracy and reduce computational time.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If a static reference genome is used for alignment, then the analysis process is simple and fast, but the reference does not adequately represent human diversity and introduces biases in variant detection

Engineering Contradiction:
Improvealignment accuracyVSAvoidrepresentation of human diversity
Core Design Contradiction:
Measurement precisionVSAdaptability or versatility

Solution Approach 1:

The patent transforms the static reference genome into a dynamic reference by incorporating population-level genetic variants. The system automatically updates the reference genome with variants from databases like dbSNP, creating a multi-allelic reference that adapts to represent diverse human populations while maintaining alignment accuracy.

Inventive Principle:
Principle #15Dynamics

2Productivity

If increasing numbers of CPU cores are used to process sequencing data, then data analysis speed improves, but the solution is not sustainable as data production outpaces Moore's Law

Engineering Contradiction:
Improvedata analysis speedVSAvoidcomputational time
Core Design Contradiction:
ProductivityVSLoss of time

Solution Approach 1:

The patent changes the computational parameters by implementing a dynamic reference genome system that pre-processes and integrates population variants. This approach optimizes the alignment algorithm's efficiency, reducing computational time from hours to minutes without requiring proportional increases in CPU resources.

Inventive Principle:
Principle #35Parameter changes

3Measurement precision

If a complete and diverse reference genome is constructed, then variant detection accuracy improves, but the complexity of the reference construction process increases

Engineering Contradiction:
Improvevariant detection accuracyVSAvoidreference construction complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent applies preliminary action by pre-integrating population-level genetic variants into the reference genome before the actual sequencing analysis. The system automatically curates and incorporates variants from established databases, creating a comprehensive multi-allelic reference that simplifies subsequent variant detection while maintaining high accuracy.

Inventive Principle:
Principle #10Preliminary action

4Adaptability or versatility

If all genetic variants are incorporated into the reference genome, then the representation of human diversity improves, but the size and complexity of the reference data increases

Engineering Contradiction:
Improverepresentation of human diversityVSAvoidreference genome size
Core Design Contradiction:
Adaptability or versatilityVSQuantity of substance

Solution Approach 1:

The patent applies local quality by incorporating genetic variants specifically at positions where population diversity exists, rather than uniformly expanding the entire reference genome. The system adds multi-allelic information only where needed to represent human diversity, maintaining a compact reference structure while improving adaptability to different populations.

Inventive Principle:
Principle #3Local quality

Data Source

PatentUS9697327B2Dynamic genome reference generation for improved NGS accuracy and reproducibility
Publication Date: 2017.07.04 EDICO GENOME CORP
  • US9697327B2 patent drawing
  • US9697327B2 patent drawing
  • US9697327B2 patent drawing

AI summary

A “dynamic” reference is presented that utilizes population level information to improve reference-based alignment to detect novel, deleterious, or functional variants in clinical sequencing applications. An automatically updated database of known genetic variants is provided to a memory connected with an integrated circuit configured for genetic sequence data with the dynamic reference and reference variants.