The technology proposes improved systems and methods for distinguishing individuals from diverse DNA samples and includes handling multiplex contributors, error modeling, sequencing, and deconvolving complex DNA mixtures.

The field of DNA analysis is facing a growing need for systems and methods to correctly identify individuals from complex DNA samples. This capability is particularly desirable for uses, such as forensics, in which multiple contributors to a sample can be tied to multiple crime scenes. However, current methodologies for individual identification from complex DNA mixtures often fall short because the required detailed knowledge of individual DNA profiles adds complexity and restricts accurate identification. Currently, these methods often fail to accurately factor in individual-specific error rates at distinct gene locations and the amplification of such errors through PCR cycles. The difficulty in distinguishing between actual genetic markers and erroneous distortions plays a fundamental role in hampering the identification process. Furthermore, the current lack of methods to deconvolve complex DNA mixtures into individual elements further adds to the challenge.

Technology Description

The technology entails an innovative system and methodologies for accurately identifying individuals from one or more complex DNA samples. The system is designed to handle the occurrence of multiple donors in a sample, with unique approaches for handling person-specific error rates at particular gene loci while also considering amplification of such errors through polymerase chain reaction (PCR) cycles. Furthermore, the system includes methods for effectively separating mixed DNA samples into individual components, applying sequencing in error modeling, and establishing actual alleles from distortions. Differentiations do not necessitate prior knowledge of individual DNA profiles or contributors to the complex DNA samples. The invention sets itself apart by its enhanced capabilities to manage multiplex contributors. With its adept handling of individual error rates per gene locus and error amplification, it significantly reduces the potential for inaccuracies. Also, its ability to navigate complex DNA mixtures, isolate actual genetic markers from distortions, and work with any single nucleotide polymorphism (SNP) panel existing or specifically created to optimize functioning gives this technology a unique edge.


  • Increases accuracy in identifying individual DNA profiles from complex mixtures
  • Enhances the interpretation of multicontributor samples
  • Offers potential to isolate actual genetic markers from distortions
  • Does not require prior knowledge of individual DNA profiles
  • Operates with any SNP panel

Potential Use Cases

  • Forensic science: To identify DNA of individuals from multicontributor samples at crime scenes
  • Paternity testing: To execute more precise and rapid identification of biological parents
  • Disease research: To discern individual DNA profiles within complex mixtures for comprehensive genome studies
  • Anthropological studies: To accurately identify and analyze ancient DNA samples
  • Biodiversity and conservation studies: To identify various species from environmental DNA samples