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Genetics

What Genetic Testing Actually Tells You (And What It Does Not)

Yaw Nkrumah, MD
December 15, 2025
9 min read
Clinician analyzing genetic testing data and patient health timeline

There is a version of genetic testing that sounds like fortune-telling. Spit in a tube. Get a report. Learn your destiny.

That is not how it works. And when people expect prophecy, they either over-react to the results or dismiss them entirely.

Both responses miss the point.

Genetic testing, used correctly, is not about predicting the future. It is about adding context to the present.

What Genetics Can Clarify

Your genes do not tell you what will happen. They tell you what might be more likely to happen, given certain conditions.

That distinction matters.

A genetic variant associated with cardiovascular disease does not mean you will have a heart attack. It means that the standard advice to “watch your cholesterol” might be more urgent for you than for someone without that variant. It means your threshold for intervention might be lower. It means your clinician should be paying closer attention, earlier.

Genetics helps explain:

  • Why disease sometimes appears earlier than expected
  • Why certain medications cause side effects in some people and not others
  • Why standard treatments work unevenly across patients
  • Why family history matters even when labs look normal
  • Why two people with identical lifestyles can have different outcomes

It is not destiny. It is dimensionality.

A Case Where Testing Changed the Approach

I had a patient in his early fifties. No major health issues. Exercised regularly. Ate reasonably well. His labs were unremarkable year after year.

But his father had died of a heart attack at 58. His uncle had a stroke at 61. The family pattern was hard to ignore.

Standard risk calculators said he was low risk. The math did not account for what his family had already shown him.

We did targeted genetic testing. It revealed a variant associated with elevated lipoprotein(a), a cardiovascular risk factor that standard lipid panels do not measure directly and that does not respond to lifestyle changes.

Knowing this changed everything. Not because he was doomed, but because we could act with precision instead of guessing. Earlier imaging. Appropriate medication. A plan that matched his actual risk, not the population average.

He is not a statistic. He is a person with a specific biology. The testing helped us treat him that way.

When Genetic Testing Makes Sense

Genetic testing is not something I recommend for everyone. It adds value when it meaningfully changes decisions.

That typically includes:

  • Strong family history of early disease (cardiovascular, cancer, neurological)
  • Unexpected medication reactions or failures
  • Ambiguous symptoms that do not fit a clear pattern
  • Patients who want to move from reactive care to precision prevention
  • Situations where standard risk tools seem to underestimate true risk

Testing without context is just data. Testing within a continuous care relationship becomes actionable intelligence.

When It Does Not Help

Genetic testing is not useful when:

  • There is no plan to act on the results
  • The findings would not change clinical management
  • It is driven by anxiety rather than clinical reasoning
  • It replaces rather than complements the basics (lifestyle, labs, physical exam, history)

Genetics is a layer. It is not a shortcut. And it is not a substitute for the fundamentals of good care.

The Risk of Testing Outside a Relationship

Direct-to-consumer genetic tests are widely available now. Some of them are reasonably accurate. But accuracy is not the same as usefulness.

Without clinical interpretation, results can mislead. A “risk variant” sounds terrifying until you understand its actual penetrance. A “normal” result sounds reassuring until you realize the test only covered a fraction of relevant genes.

Genetic data without context creates noise. Sometimes it creates unnecessary fear. Sometimes it creates false confidence.

The testing matters less than what happens after the testing.

That is why I only use genetic information within an ongoing relationship, where I can interpret results against everything else I know about a patient: their history, their labs, their family, their life.

Precision without continuity is just fragmentation with better marketing.

The Future of Primary Care Is Layered

Modern primary care is becoming more precise. That is a good thing.

But precision is not a replacement for relationship. It is an enhancement. This is similar to how virtual care deepens relationships when done correctly.

The most effective model combines:

  • Longitudinal knowledge of the patient
  • Strong clinical reasoning
  • Genetic and metabolic data used selectively
  • A willingness to update the plan as new information emerges

This is how care moves from population averages to individualized strategy. Not by testing everything, but by testing the right things at the right time for the right reasons.

If you have been curious about whether genetic testing makes sense for you, the answer depends on your history, your goals, and what we are trying to understand.

That is a conversation worth having.

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Medical Disclaimer: The information provided on this website is for general informational purposes only and does not constitute medical advice. Always consult with a qualified healthcare provider for medical concerns. If you are experiencing a medical emergency, call 911 immediately.