Mitochondrial DNA Structural Variant Detection in Circular Genomes
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Solution Overview
Problem
Existing variant callers designed for linear chromosomal DNA fail to accurately identify structural variants in mitochondrial DNA due to its circular structure and higher mutation frequency, leading to improper alignments and missed detections.
Innovation Solution
A system and method that includes preprocessing, mapping, filtering, and analyzing mitochondrial sequencing data to identify structural variants such as deletions, insertions, duplications, and inversions by using a sequencing system with a data parser, mapping engine, filtering engine, and analytics engine to process and align query sequences with mitochondrial DNA.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If standard variant callers designed for linear chromosomal DNA are used, then the analysis process is simple, but they fail to accurately identify structural variants in mitochondrial DNA due to its circular structure and higher mutation rates
Solution Approach 1:
The patent changes the parameters of the alignment process by implementing specialized alignment algorithms that account for the circular structure of mitochondrial DNA, adjusting scoring thresholds, and modifying filtering criteria to accommodate higher mutation rates. This allows accurate identification of structural variants while managing the increased complexity through parameter optimization.
2Measurement precision
If specialized alignment and filtering processes are implemented for mitochondrial DNA, then structural variants can be accurately identified, but the computational complexity and processing time increase
Solution Approach 1:
The patent applies preliminary filtering and preprocessing steps to mitochondrial sequencing data before full analysis. By pre-identifying potential structural variants using simplified criteria and then applying more rigorous validation only to candidate regions, the system achieves high accuracy while reducing overall processing time and computational resource requirements.
3Reliability
If standard variant calling methods are used, then the workflow is straightforward, but deletions, insertions, duplications, and inversions in mitochondrial DNA are missed or misidentified
Solution Approach 1:
The patent segments the variant calling process into distinct modules: initial alignment with circular DNA awareness, structural variant-specific detection algorithms for different variant types (deletions, insertions, duplications, inversions), and hierarchical filtering stages. This segmentation improves reliability by addressing each variant type with specialized methods while managing system complexity through modular design.
Data Source
AI summary
The present disclosure describes a sequencing system configured to identify structural variants in mitochondrial DNA. Variant callers configured to identify variants in linear genomes (e.g., those found in chromosomes) can fail to properly identify structural variants in mitochondrial DNA. The system and methods can identify structural variants in next generation sequencing data collected from circular, mitochondrial DNA.


