Understanding SelfDecode PGx Reports: Medication Check vs DNAmind

At SelfDecode, we offer two different pharmacogenomics (PGx) reports. While both analyze how your genetics may influence medication response, they are designed for different purposes and should be interpreted very differently. This article explains what each report is, how they differ, and how to use them responsibly.

The Two PGx Reports at a Glance

Medication Check (Conventional PGx) Report

• Clinically oriented and science‑validated
• Focuses on well‑established gene–drug interactions
• Built to support medical decision‑making if used by a health professional
• 👉 Sample Report

DNAmind PGx Report

• Designed to resemble a popular PGx report, "GenoMind PGx"
• Broader and more exploratory in nature
• Intended for education and discussion, not clinical decision‑making
• 👉 Sample Report

Key Differences Explained

1. Scientific Validation

Conventional PGx

• Rigorously reviewed and validated by our science and R&D teams
• Designed to meet high scientific and clinical standards
• Intended to be conservative, precise, and reliable

DNAmind PGx

• Explicitly not validated by our science and R&D teams
• May contain incomplete, hypothetical, or extrapolated information
• Should never be treated as a clinical‑grade report

Why this matters: Validation determines how confidently a report can be used to guide medication decisions. Only the Conventional PGx report is built for that purpose, presuming it's interpreted by a health professional.

2. Evidence Threshold

Conventional PGx

• Includes only gene–drug associations with high or moderate evidence
• Draws from authoritative sources such as:
  • CPIC (Clinical Pharmacogenetics Implementation Consortium)
  • PharmGKB
  • FDA and DPWG guidelines
• Every recommendation is tied to established clinical guidance

DNAmind PGx

• Also includes low‑evidence and unverified variants, in addition to higher‑evidence ones
• Many associations are:
  • Preliminary
  • Based on limited studies
  • Hypothesis‑driven rather than clinically proven
• These findings are clearly labeled, but still require careful interpretation

Why this matters: Not all genetic associations are equally reliable. DNAmind intentionally casts a wider net, but that comes with more uncertainty.

3. Clinical Scope & Focus

Conventional PGx

• Broad medical coverage across many specialties, including:
  • Cardiovascular medications
  • Oncology and immunology therapies
  • Pain management
  • Select psychiatric medications

DNAmind PGx

• Heavily focused on mental health and neuropsychiatric medications, including:
  • Antidepressants (SSRIs, SNRIs, TCAs, MAOIs)
  • Antipsychotics
  • ADHD medications
  • Anxiolytics and sleep medications
  • Mood stabilizers
• Includes additional genes related to neurotransmitters, receptors, and side‑effect susceptibility

Why this matters: DNAmind is specialized for mental health exploration, while Conventional PGx prioritizes cross‑disciplinary clinical reliability.

4. Intended Use

Conventional PGx

• Appropriate for:
  • Clinician‑guided medication selection
  • Dose considerations
  • Risk mitigation based on established guidelines

DNAmind PGx

• Appropriate for:
  • Educational exploration and biohacking
  • Informed conversations with a healthcare provider

  • Understanding possible genetic influences on psychiatric medications

    Not appropriate for:

  • Starting, stopping, or changing medications
  • Making medical decisions without confirmatory clinical testing

How to Use These Reports Safely

• Always involve a qualified healthcare professional
• Treat DNAmind findings as purely informative and hypothetical
• Use Conventional PGx when clinical certainty is required
• Never make medication changes without consulting your doctor

Bottom Line

Both reports analyze how your DNA interacts with medications—but they are not interchangeable.

• Conventional PGx = validated, conservative, clinically grounded
• DNAmind PGx = exploratory, mental‑health‑focused, hypothesis‑driven

Understanding this distinction helps ensure that genetic insights empower your care—without introducing unnecessary risk.