Genetics: The Dial, Not the Verdict

Genetic test results land in two ways. The first is dread: "I have the gene." The second is shrug: "Interesting, but what do I do with it?" Both reactions miss the point. In our GERO·SPAN framework, Genetics is a Modulator. It is not a Fundamental you choose every morning. It is the dial position you inherited. Your daily Fundamentals (sleep, physical activity, nutrition) turn that dial up or down. Your environment and your relationships pull on it too. The genetic test is a starting point. The work of medicine is to figure out what to do with it.

What "polygenic" actually means

A single variant rarely tells the whole story. For most outcomes that matter to adults in their 30s, 40s, and 50s, heart disease, type 2 diabetes, Alzheimer's, the risk is polygenic: spread across many small variants, each contributing a fraction of the signal. In 2018, Khera and colleagues showed that polygenic risk scores can identify people with three to five times higher genetic risk than the population average. The same group had shown two years earlier that adherence to standard healthy-lifestyle markers cut event rates by nearly half across every genetic risk band, including the highest one. The takeaway: the dial position is real, but where the dial ends up depends heavily on what happens around it. This is the part most patients do not hear when their report comes back. "Elevated risk for X" does not mean you will get X. It means the levers we already know about, sleep, movement, ApoB control, blood pressure, the people around you, are more worth pulling, not less.

What we use, and what we ignore

Two filters decide whether a test belongs in the plan:

1. Does the result change what we do tomorrow morning?
2. Is the evidence strong enough to act on?

When both answers are yes, we test. When either is no, we wait.

What we actually order

• Lipoprotein(a), or Lp(a). A single lifetime measurement. About one in five adults has an elevated Lp(a), and the standard lipid panel completely misses it. If yours is high, your ApoB target tightens and the urgency timeline accelerates by years. This is the most action-changing genetic test we run, and we run it on nearly everyone.
• APOE genotype. When a patient asks about Alzheimer's risk or has a strong family history of dementia, we offer APOE testing. An APOE-e4/e4 result does not change the foundational plan, sleep, aerobic conditioning, metabolic health, and blood pressure control are still the work, but it changes the urgency of the conversation and how closely we monitor cognitive trajectory.
• Pharmacogenomics (CYP2C19, CYP2D6, CYP3A4, SLCO1B1). Useful when a specific drug is on the table: clopidogrel after a stent, an antidepressant that has not worked, a statin causing muscle pain, codeine in a poor metabolizer. Usually $200 to $300 out of pocket, sometimes insurance-covered.
• Hereditary cancer panels (BRCA1/2, Lynch syndrome) and carrier panels for parents-to-be. Indication-driven, decision-relevant. Ordered through Color, Invitae, or a similar lab when family history warrants.

What we do not order

• Whole-genome sequencing for healthy adults. Most findings are variants of uncertain significance. The cost-to-action ratio is poor for someone without a specific indication. One real exception: patients who were adopted or grew up in foster care, where the family-history data source this article keeps citing as free and powerful is not, in fact, available. In that case, the threshold for ordering broader testing is meaningfully lower. Even then, a thoughtful targeted panel usually does more useful work than a whole-genome blast.
• Consumer "raw data hacking." Uploading 23andMe data to third-party interpreters generates long lists of variants with effect sizes too small to act on. The output usually creates anxiety, not action.
• Methylation overreach. The common MTHFR variants do not justify broad "you need methylated everything" supplement protocols. The clinical literature does not support the panels that get sold on social media.
• Ancestry-novelty SNP reports. Interesting at a dinner party. Not useful in a chart.

When the test changes the plan, in plain language

Concrete examples from how we practice:

• Lp(a) comes back at 90 nmol/L (high). The ApoB goal for that patient drops from "below 80" to "below 60," and we start the conversation about statin or PCSK9 inhibitor years earlier than we otherwise would.
• APOE comes back e3/e4 in a 45-year-old whose mother developed Alzheimer's at 72. The Fundamentals already mattered. Now they matter on a clock. We are more aggressive about sleep apnea screening, aerobic conditioning, and insulin resistance, and we revisit cognition more often.
• CYP2C19 comes back as a poor metabolizer in a patient who needs clopidogrel after a stent. We switch to ticagrelor. That is a real change in care, prevented by a $200 panel.
• A 23andMe report flags "slightly elevated risk" for ten different conditions. We acknowledge the curiosity, and then we look at the actual labs and the actual life. The report does not change the plan.

The pattern: a genetic result is only as good as the protocol attached to it. When there is a protocol, we test. When the protocol does not exist, the test is expensive curiosity.

A small, optional starting point if you do not have old records

For patients arriving without years of lab work, genetic testing can be a respectful first conversation. It is never the entry fee, and it is never something we push. But when there is nothing else to look at, a targeted panel, Lp(a), APOE if indicated, basic pharmacogenomics, can tell us where to focus the next conversation without spending six months gathering paper records. The same logic applies, with extra weight, for patients who were adopted or grew up in foster care. The family-history input the rest of this article leans on most heavily is, for them, often unavailable. In that situation, a targeted genetic panel is sometimes the most respectful way to begin filling the gap, and the conversation about what to test is one we run carefully and without pressure. That is the only context in which we lead with genetic testing. In every other situation, we lead with the records review and the basic preventive labs first.

Scientific References

1. Khera AV, et al. "Genome-wide polygenic scores for common diseases identify individuals with risk equivalent to monogenic mutations." Nature Genetics. 2018.
2. Khera AV, et al. "Genetic Risk, Adherence to a Healthy Lifestyle, and Coronary Disease." NEJM. 2016.
3. Tsimikas S. "A Test in Context: Lipoprotein(a): Diagnosis, Prognosis, Controversies, and Emerging Therapies." Journal of the American College of Cardiology. 2017.
4. Yamazaki Y, et al. "Apolipoprotein E and Alzheimer disease: pathobiology and targeting strategies." Nature Reviews Neurology. 2019.
5. Relling MV, Klein TE. "CPIC: Clinical Pharmacogenetics Implementation Consortium." Clinical Pharmacology & Therapeutics. 2011.

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Medical Disclaimer: Genetic testing decisions are individual. This page describes our general approach. The right tests for you depend on your personal and family history, current labs, and goals. Consult Dr. Ash before making decisions based on this information.