Hormonal Imbalance and DNA: What a Genetic Test Reveals About Your Hormones

Hormonal complaints are rarely isolated. Fatigue, weight fluctuations, irritability, reduced libido more often combine into a single pattern, which gets labelled "hormonal imbalance" and checked with a hormone blood test. That test answers a narrow question — how much of a hormone is in the blood right now — and can leave the complaint without an explanation for why the person feels the way they do.

The issue is not that blood tests are inaccurate. They answer precisely the question "how much hormone right now" — but not the question "why does the body keep returning to the same state?" That "why" sits in a different domain: it concerns not the hormone level on a particular morning but the way its regulation is genetically structured. This is where genetic context comes in.

Why "Hormonal Imbalance" Is Not One Marker but the Interaction of Systems

Hormonal imbalance sounds like a single mechanism breaking down. In practice, the term describes the coordinated work of several regulatory axes that constantly influence each other:

• The stress axis (hypothalamus — pituitary — adrenal glands), which governs cortisol and the response to stress;

• The thyroid axis, which sets the metabolic rate throughout the body;

• The sex hormone axis, which regulates fertility, libido, body composition, and mood.

These axes are not autonomous. A 2024 systematic review and meta-analysis found that acute psychosocial stress alters gonadal steroid secretion in humans (Domes et al., Psychoneuroendocrinology, 2024). Equally, the thyroid axis sets the metabolic pace on which the function of the other hormones depends (Sabatino & Vassalle, Biomolecules, 2025). A single "broken" marker is therefore the exception rather than the rule. The more common question is how the entire hormonal system maintains its equilibrium.

The genetics of complex traits — including hormonal regulation — describes probabilities, not individual outcomes (Slunecka et al., Hum. Genom., 2021). It does not say what your cortisol will be tomorrow. It shows how sensitive your stress axis is to load, how readily the body converts one hormone into another, and how actively it binds them in the blood. These are predispositions, not a diagnosis.

What a Hormone Blood Test Measures, and What Genetic Context Adds

A hormone blood test captures a value at the moment the sample was taken. But hormones fluctuate throughout the day, across the cycle, in response to a sleepless night, and so on. Cortisol, for example, is released in pulses and follows a diurnal rhythm, so a single measurement does not reflect the overall state of the stress axis: it accounts for neither the irregular secretion pattern, nor the binding proteins, nor receptor sensitivity in tissues (Clarke et al., Endocr. Rev., 2024).

Genetic context, by contrast, describes how cortisol regulation is structured, how sensitive the glucocorticoid receptor is — encoded by the gene NR3C1 (nuclear receptor subfamily 3 group C member 1) — and how quickly the body converts one hormone into another. Recurring manifestations of hormonal imbalance often reflect not a failure in a single value but the way an entire axis is genetically calibrated. This lies outside the scope of a one-off biochemical test focused on a number rather than on how the individual is built (Clarke et al., Endocr. Rev., 2024).

A genetic test and a blood test are not competing tools. Blood shows what is happening now. Genetics explains why the body is predisposed to these states. At their intersection appears the answer that neither provides alone: what is happening now, and why.

More on the connection between genetics and hormones — Weight, Energy, Mood and Your DNA: How Hormones Are Linked to Genetics.

Hormonal Biomarkers in the Apixmed Prism Report: How to Read Them

In the Apixmed Prism report, hormonal indicators are gathered in a dedicated block of biochemical blood markers. Each indicator is not a current hormone level but a genetically assessed predisposition to its regulation, presented as a percentile. The percentile reflects how your genetic predisposition differs from most people — not the probability that you will develop a specific condition. A notional 85th percentile for cortisol indicates that your cortisol level is likely higher than average in the population.

Reading these indicators in isolation is the same mistake as with a blood test. The meaning only emerges when you look at them together.

The Stress Axis: Why the Response to Load Differs from Person to Person

The stress axis's predisposition to hyperactivity is largely determined by the sensitivity of the glucocorticoid receptor (gene NR3C1) and by how much cortisol the body holds in bound form. This is regulated in part by a transport protein encoded by the gene SERPINA6 (serpin family A member 6). This is why people can experience emotional stress differently even when their cortisol falls within reference values: in one person the system returns to calm quickly; in another it stays "running high" (Clarke et al., Endocr. Rev., 2024). If your profile shows a higher-than-average stress axis reactivity, this is not grounds for self-diagnosis — it is a reason to pay closer attention to sleep patterns and recovery and, if appropriate, to consult a healthcare professional.

For a detailed account of the cortisol mechanism — Cortisol and Chronic Stress: Hormonal Mechanisms of Fatigue and Individual Differences.

Sex Hormones: Why "Normal" Blood Test Results Are Particularly Misleading Here

The level of testosterone or oestrogen in the blood is a snapshot that says little about how much of the hormone the body is actually using. What matters here is the protein that binds sex hormones — encoded by the gene SHBG (sex hormone binding globulin). The more actively this protein binds the hormone, the smaller the fraction that remains free and biologically available to tissues — even when the total hormone level in the blood has not changed. Genetic variants of this gene are associated with a predisposition to stronger or weaker binding — that is, not with the hormone level itself but with how much of it actually "works" in the tissues. An analysis of data from more than 400,000 UK Biobank participants showed that the genetic regulators of testosterone levels differ substantially between men and women, and their effects on health point in different directions (Ruth et al., Nat. Med., 2020).

The Thyroid Axis: It Is Not Just About Hormone Levels

Thyroid function depends not only on how much hormone is produced but also on how quickly the body converts the inactive form (T4) into the active form (T3). This conversion is carried out in part by an enzyme encoded by the gene DIO2 (iodothyronine deiodinase 2): genetic variants near this gene are among the genomic regions associated with thyroid function, according to a large GWAS meta-analysis with up to 271,000 participants of European ancestry, which also confirmed causal links between these variants and a range of conditions (Sterenborg et al., Nat. Commun., 2024). Polygenic risk scores (PRS) of this kind are built primarily on samples of European ancestry. Since Ukrainians belong to the Eastern European population, these models are applicable to them as well (Slunecka et al., Hum. Genom., 2021). A predisposition to hypothyroidism in the report reflects precisely this genetically embedded tendency — not an existing diagnosis.

On the autoimmune aspect of hypothyroidism — Thyroid Gland and Hashimoto's Thyroiditis: The Role of Genetics in Autoimmune Inflammation.

When Hormonal Genetic Context Actually Makes a Difference

A hormonal genetic profile does not replace clinical assessment. But there are situations where it adds what is missing. Most commonly this is the story of complaints that persist even though repeated check-up results come back "within range." Genetic context indicates which axis is prone to instability and where attention should be directed.

It is also useful before a conversation with a doctor: with genetic test results in hand, you can come with specific questions — check thyroid hormone conversion, assess sex hormone binding, examine the stress axis. The genetic report prepares you for the conversation with your doctor; it does not replace it.

A genetic profile is stable — it does not change over time — whereas hormone blood levels are worth monitoring repeatedly. Knowing your predispositions, you understand which markers to track and why. This is not a forecast of disease or imbalance but information from which, together with a doctor, you can build a clear monitoring plan to prevent risks: what to check, how often, and what to attend to now — without waiting for symptoms that require treatment.

How your hormonal regulation is structured — Ultima Panel Apixmed Prism.

The Strength of a Hormonal Report: The Connections Between Markers

Hormonal imbalance almost never comes down to one number that has drifted outside the reference range. It is a state of equilibrium among several axes, each with its own genetically embedded characteristic. A blood test shows where that equilibrium stands right now. A genetic test assesses its predisposition to shift. Neither alone provides a complete answer, but together they turn a set of disconnected values into a coherent understanding of how your hormonal system works. And it is that understanding — not any single figure — that enables well-founded, precise decisions about your own health.

Genetic test results are not a diagnosis and do not replace a consultation with a doctor. The Apixmed Prism report provides genetic context that complements clinical test results and supports informed decision-making together with your physician.

Sources

1. Clarke, S. A., Eng, P. C., Comninos, A. N. et al. (2024). Current Challenges and Future Directions in the Assessment of Glucocorticoid Status. Endocrine Reviews, 45(6), 795–817.https://doi.org/10.1210/endrev/bnae016

2. Sterenborg, R. B. T. M., Steinbrenner, I., Li, Y. et al. (2024). Multi-trait analysis characterizes the genetics of thyroid function and identifies causal associations with clinical implications. Nature Communications, 15(1), 888.https://doi.org/10.1038/s41467-024-44701-9

3. Ruth, K. S., Day, F. R., Tyrrell, J. et al. (2020). Using human genetics to understand the disease impacts of testosterone in men and women. Nature Medicine, 26(2), 252–258.https://doi.org/10.1038/s41591-020-0751-5

4. Slunecka, J. L., van der Zee, M. D., Beck, J. J. et al. (2021). Implementation and implications for polygenic risk scores in healthcare. Human Genomics, 15(1), 46.https://doi.org/10.1186/s40246-021-00339-y

5. Domes, G., Linnig, K., von Dawans, B. (2024). Gonads under stress: A systematic review and meta-analysis on the effects of acute psychosocial stress on gonadal steroids secretion in humans. Psychoneuroendocrinology, 164, 107004.https://doi.org/10.1016/j.psyneuen.2024.107004