Your genetics are one part of your health story. Mutant helps make them usable alongside the rest.
You may already have years of:
while your genetic data exists in an entirely separate form.
Mutant interprets the genomic layer first.
It organizes compatible genetic data into biological systems, converging patterns, ranked health hypotheses, supporting evidence, and Health Context that can be explored alongside your broader medical history using AI.
Mutant interprets the genetics. AI helps connect it with the rest of your health story.
No new DNA test required. No credit card required.
Your complete raw DNA stays in your browser.
A consumer DNA dataset can contain hundreds of thousands of genetic observations. Whole-genome sequencing can contain vastly more.
Your health history may be just as fragmented:
Each source may contain useful information.
The challenge is figuring out how the pieces relate to each other.
A genetic hypothesis may become more relevant when laboratory findings, symptoms, imaging, or family history point in the same direction.
It may become less convincing when real-world health information contradicts it.
And several seemingly unrelated findings may become easier to investigate when they are considered through a shared biological mechanism.
Mutant is designed to organize the genomic part of that investigation.
Giving raw genetic data directly to an AI leaves much of the difficult genomic interpretation unresolved.
Someone still has to determine:
Mutant performs that genomic organization first.
Individual genetic observations from 23andMe, AncestryDNA, or whole-genome sequencing.
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Biological systems, genetic modules, converging patterns, ranked health hypotheses, supporting evidence, Health Context, and coverage limitations.
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An environment where those genetic hypotheses can be compared with labs, medical records, medications, symptoms, imaging, family history, and other health information.
Start with compatible genetic data from:
Mutant reads your complete DNA data locally in your browser and identifies only the genetic markers needed for its models.
Your complete raw DNA is not uploaded or stored by Mutant.
Different DNA sources contain different genetic markers.
Mutant determines:
Missing genetic data is treated as missing, not as a normal result.
Instead of interpreting variants one at a time, Mutant organizes relevant signals into:
This creates a structured genomic layer that is much easier to use in a broader health investigation.
Mutant's health questionnaire is optional.
It can provide additional information about symptoms, reactions, and current health patterns.
You can also leave broader health information outside Mutant and correlate your genetic findings with it later using AI.
Mutant provides structured Health Context describing:
You can then explore this context alongside broader health information in supported AI experiences.
Health Context is the bridge between Mutant's genomic analysis and your broader health information.
For each available hypothesis, Mutant can identify information that may help answer questions such as:
Mutant does not use this information to diagnose the hypothesis.
It provides a structured framework for investigating whether your genetics actually align with your real-world health history.
Depending on what you choose to provide to an AI service, your Mutant analysis can be explored alongside information such as:
Examples may include:
Examples may include:
Relevant context can include:
Examples may include:
Information that often does not appear clearly in formal medical records may also matter:
The result is a much broader context than genetics alone can provide.
Once your Mutant findings and relevant health information are available in the same AI environment, you can ask questions such as:
Which of my highest-ranked Mutant hypotheses also have support in my laboratory history?
Are there findings in my medical records that weaken or contradict any of these genetic hypotheses?
Which hypotheses have both genetic support and real-world health evidence?
Could several symptoms that have been treated separately share a plausible biological mechanism?
What laboratory or clinical information could help distinguish between my top competing hypotheses?
Have previous abnormal findings become more meaningful when considered alongside my genetics?
Which findings point toward another explanation rather than the Mutant hypothesis?
Summarize the strongest hypotheses, evidence for and against each one, and useful questions to discuss with a clinician.
AI is not proving that a Mutant hypothesis is correct.
It is helping you investigate relationships between information that normally exists in separate places.
Mutant Free lets you see what Mutant finds before deciding whether you want access to every hypothesis.
Included:
Your top 3 hypotheses may come from any biological system or hub.
No credit card required.
Mutant Full unlocks the complete available analysis across your findings.
Included:
You can start free and upgrade at any time.
Mutant Free is not a simplified genetic scan.
Mutant uses the same underlying analysis framework.
The difference is how much of the resulting analysis you can open and use in depth.
Your top 3 ranked hypotheses are available in full.
Every ranked hypothesis available from your analysis is unlocked.
This same access model applies when using Mutant findings with AI.
Mutant evaluates connected genetic patterns across several broad biological systems.
Hubs include:
Hubs include:
These areas can include higher-impact inherited findings where adequate DNA coverage and appropriate clinical confirmation are especially important.
Hubs include:
Hubs include:
A hypothesis can involve evidence from more than one biological area.
Mutant ranks these hypotheses within the context of your overall analysis, rather than assigning free or paid access by hub.
For many health questions, the hypothesis and its Health Context provide enough genomic structure to begin.
When deeper investigation is useful, Mutant can also expose the genetic evidence underneath the model, including:
This can help answer questions such as:
Which genetic variants contributed to this hypothesis?
Which genes contribute most strongly to this pattern?
Is this finding supported by one variant or several independent signals?
Which genetic markers were unavailable in my DNA source?
What published evidence supports Mutant's interpretation?
The goal is to make deeper genetic evidence available when it adds value, rather than forcing every variant into the main health conversation.
Mutant is designed to support two ways of bringing your genetic findings into a broader AI workflow.
Where supported, Mutant can provide structured genomic context directly for use in a ChatGPT conversation.
This allows your genetic findings to be explored alongside other health information available in that conversation or supported health experience.
You can also export structured Mutant Health Context for use with another compatible AI assistant.
This gives you control over:
Mutant's role is genomic interpretation.
You do not need to upload your broader medical history to Mutant in order to use this workflow.
Instead:
Mutant provides the genomic context.
You choose where and how to combine it with the rest of your health information.
This keeps the responsibilities separate:
Organizes genetic evidence into biological patterns and ranked health hypotheses.
Can help correlate those hypotheses with health information you choose to make available there.
Medical records frequently contain identifying information such as:
Before manually exporting medical records to an external AI service, consider whether those identifiers are necessary for the question you want to investigate.
When appropriate, you can remove unnecessary identifying information before sharing records outside the system where they originated.
Always review the privacy, retention, and data-use policies of the AI service you choose.
Mutant is particularly suited to situations where several biological systems may be involved rather than one isolated symptom.
That can include combinations involving:
The goal is not to assume genetics explains all of these problems.
The goal is to determine whether genetics provides useful hypotheses that can be tested against the health information already available.
A genetic variant can influence susceptibility without causing symptoms.
A biological pathway can have less inherited reserve without currently being dysfunctional.
And even a highly ranked Mutant hypothesis can be weakened by laboratory or clinical evidence.
Real biological function is influenced by factors such as:
That is why the AI workflow is useful.
The objective is not:
DNA says this is the answer.
It is:
Mutant identified this genetic hypothesis. Does the rest of the health evidence support it?
It interprets patterns, not just SNPs. Important findings are built from related genetic signals rather than assuming one variant explains a complex health problem.
It looks across biological systems. Metabolism, digestion, immune signaling, stress physiology, sleep, nutrient handling, and neurochemical regulation can interact.
It ranks hypotheses. Mutant prioritizes hypotheses instead of presenting hundreds of genetic findings as equally important.
It shows why a hypothesis ranked. Evidence breakdowns expose the contributing genetic systems, patterns, variants, Health Context, and limitations.
It identifies what health information matters. Health Context helps define what may strengthen, weaken, or distinguish a hypothesis.
It makes genomic interpretation usable with AI. Your Mutant findings can become part of a broader investigation instead of remaining isolated inside a static genetic report.
Your complete raw DNA is not uploaded or stored by Mutant.
When you select supported DNA data:
Mutant supports compatible data from:
Your DNA source affects coverage, not the type of Mutant analysis.
Mutant's core role is genomic analysis.
You do not need to store your broader medical history in Mutant to use your genetic findings with AI.
You choose which health information to make available in the AI environment where you explore your Mutant results.
No.
Your complete DNA data is read locally in your browser.
Only the genetic markers needed for Mutant's models are sent and retained.
No.
You can explore your Mutant analysis directly in the Mutant platform.
AI provides an additional way to correlate those findings with broader health information.
Mutant is designed to provide structured genetic context for supported ChatGPT experiences.
You can also export your Mutant Health Context for use with another compatible AI service.
You can choose how you use your own genetic information.
The challenge is that raw DNA does not arrive organized into:
Mutant performs that genomic interpretation before the broader AI investigation.
Depending on the hypothesis and your access level, Health Context can include:
Yes, for the hypotheses included in your free analysis.
Mutant Free includes your top 3 ranked health hypotheses in full.
Mutant Full unlocks Health Context and complete analysis for all remaining available hypotheses.
Mutant Full unlocks every ranked health hypothesis available from your analysis, with:
Mutant Full is $49/year.
No.
Free access is based on your overall hypothesis ranking, not on a particular hub or system.
Your top 3 ranked health hypotheses are included in full regardless of where they originate.
No.
AI can help compare a genetic hypothesis with labs, medical records, symptoms, medications, imaging, and other evidence.
That may strengthen, weaken, differentiate, or refine the hypothesis.
It does not establish a medical diagnosis.
Yes.
Mutant findings and AI-generated summaries may help organize information and questions for discussion.
A clinician should independently determine whether additional evaluation, testing, or treatment is medically appropriate.
Your genetic and medical information is sensitive.
Mutant is designed so that:
Before sharing health information with an external AI service, review that service's current privacy, retention, and data-use policies.
For people with complicated health histories, the problem is often not a lack of information.
It is that the information has never been meaningfully connected.
A lab result may have been considered in isolation.
A symptom may have been evaluated by a different specialist.
A medication response may have been documented years before a genetic finding became available.
A genetic hypothesis may never have been compared with the clinical evidence needed to support or challenge it.
AI makes it increasingly practical to explore those relationships.
Mutant's role is to make the genomic portion of that context structured, prioritized, evidence-aware, and usable.
Start free and explore your top 3 ranked health hypotheses in full.
Mutant provides educational and informational genetic analysis. Its findings are health hypotheses, not diagnoses, and are not a substitute for medical evaluation, clinical genetic testing, or treatment. AI-generated interpretations should also be treated as hypotheses rather than medical conclusions.