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The Science Behind Genetic Identity

​Define cannabis at the genetic level.

True Cut uses genome-wide SNP fingerprinting and population genetic analysis to establish and verify cultivar identity. This is not based on names, traits, or chemical profiles. It is identity defined directly from DNA. This creates a shared genetic infrastructure, allowing breeders, cultivators, and researchers to document cultivars and analyze relationships across a growing dataset.

Image by Diyahna Lewis
What This Is (and Is Not)

 

True Cut is built on established genetic methods used across agriculture and biological sciences.

 

What it is:

  • Genetic identity verification

  • Cultivar documentation

  • Relationship analysis

 

What it is not:

  • Trait prediction

  • Breeding optimization

  • Chemical testing

 

Identity is the foundation. Everything else comes after.

How It Works
 

01 — Submit a Sample
Plant tissue is collected and submitted with associated metadata.

02 — DNA Sequencing
Samples are processed by independent laboratories to generate genome-wide data.

03 — SNP Markers Generated
Thousands of genetic markers are identified across the genome.

04 — Genetic Analysis
Data is analyzed to determine identity and relatedness.

05 — Results & Registry
A genetic fingerprint is created and stored in the True Cut system.

Image by 2H Media

What Is a Genetic Fingerprint?

​A genetic fingerprint is a multilocus pattern across thousands of positions in the genome.

  • Stable across environments

  • Reproducible over time

  • Unique to each plant

 

Unlike chemical profiles, which change with environment and processing, genetic identity does not change.

 

This is what allows identity to be defined, verified, and compared.

Why SNP-Based Fingerprinting

Not all genetic methods are designed for the same purpose.

Whole genome sequencing reads everything. It is powerful, but unnecessary for identity.

True Cut uses high-density SNP markers instead.

  • Thousands of markers across the genome

  • Stable and heritable

  • Highly discriminative

This is the same class of data used in:

  • Forensic identification

  • Kinship analysis

  • Cultivar verification across agriculture

For identity and relatedness, this is not a compromise. It is the standard.

How Genetic Identity Works

No Reference Required

Cannabis does not have a complete historical reference system.

And it doesn’t need one.

Identity and relatedness can be determined by comparing samples across a dataset using population genetic methods.

This allows:

  • Detection of identical plants

  • Identification of related cultivars

  • Resolution of mislabeled material

Without relying on a single “original” reference.

What This Enables

Verification
Confirm whether two plants are genetically identical

Identification
Define a unique genetic profile

Relationship Analysis
Determine how cultivars are related

Documentation
Create a persistent genetic record

What This Does Not Do

This is identity infrastructure, not a predictive system.

This does not

  • Predict effects or experience

  • Replace legal IP systems

  • Control breeding or distribution

  • Guarantee outcomes

 

Proven Across Crops and Systems

Genetic identity using SNP-based methods is not new. These approaches are already standard across agriculture, horticulture, and population genetics.

 

These methods are already used to verify identity, track cultivars, and resolve mislabeling across major crops.
 
Cannabis is not an exception.
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Why This Matters

Cannabis has not yet matured as an industry.
It needs infrastructure to do so.

 

Without genetic identity

Names drift.

Products become inconsistent.

Breeders lose control.

 

With genetic identity

Cultivars can be verified.

Products can be consistent.

Data can be trusted.

 

This is the foundation for a more transparent, reliable system.
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