Unlocking Personalized Medicine - Top 25 Genes in Pharmacogenomics

Unlocking Personalized Medicine: Top 25 Genes in Pharmacogenomics

 

Imagine a world where medications are tailored to your DNA, maximizing effectiveness and minimizing side effects. This is the power of pharmacogenomics, a field revolutionizing healthcare by analyzing how genes influence drug response.

25 Key Genes Driving Pharmacogenomics:

While numerous genes contribute to drug response, these 25 stand out:

  1. CYP2D6: Metabolizes antidepressants, antipsychotics, and pain relievers. Variations impact efficacy and adverse reactions.
  2. CYP2C19: Metabolizes antiplatelet agents and proton pump inhibitors. Genetic differences affect breakdown speed and effectiveness.
  3. CYP2C9: Metabolizes warfarin and NSAIDs. Variations alter metabolism, impacting bleeding risk.
  4. VKORC1: Influences warfarin effectiveness, requiring personalized dosage.
  5. SLCO1B1: Transports drugs to the liver. Variations affect statin concentration and potential side effects.
  6. TPMT: Metabolizes thiopurine drugs used in cancer and autoimmune diseases. Variations increase toxicity risk.
  7. HLA-B: Linked to severe skin reactions to medications like carbamazepine and abacavir.
  8. DPYD: Metabolizes 5-fluorouracil (chemotherapy). Variations increase toxicity risk.
  9. UGT1A1: Metabolizes bilirubin. Variations can lead to jaundice with certain medications.
  10. NAT2: Metabolizes isoniazid and hydralazine. Variations affect metabolism and side effect risk.
  11. COMT: Breaks down dopamine. Variations influence Parkinson‘s disease medication effectiveness.
  12. MTHFR: Involved in folate metabolism. Impacts response to methotrexate and some antidepressants.
  13. CACNA1S: Influences malignant hyperthermia risk with certain anesthetics.
  14. RYR1: Also impacts malignant hyperthermia risk.
  15. G6PD: Crucial for red blood cell function. Deficiency can cause hemolytic anemia with certain drugs.
  16. SCN5A: Affects cardiac arrhythmia risk in response to some medications.
  17. ABCB1: Involved in drug transport. Variations impact absorption and elimination.
  18. IFNL3: Predicts response to interferon-based therapies for hepatitis C.
  19. HLA-DQA1 and HLA-DQB1: Linked to type 1 diabetes risk with certain medications.
  20. CYP3A4: Metabolizes a wide range of drugs, including statins and immunosuppressants.
  21. CYP2B6: Metabolizes bupropion and efavirenz. Variations impact metabolism and side effects.
  22. CYP1A2: Metabolizes caffeine, theophylline, and some antidepressants.
  23. SLC6A4: Influences response to SSRIs (antidepressants).
  24. BDNF: Affects response to antidepressants and mental health medications.
  25. KCNJ11: Influences response to certain diabetes medications.
  26. NUDT15: crucial role in metabolizing thiopurines, a class of drugs used to treat various conditions, including cancer, inflammatory bowel disease (IBD), and autoimmune disorders

Mapmygenome‘s Medicamap: Your Personalized Pharmacogenomic Solution

Medicamap analyzes your DNA for variations in these crucial genes, helping you:

  • Predict Drug Response: Identify effective medications and potential adverse reactions.
  • Optimize Dosage: Minimize side effects and maximize efficacy with personalized dosage.
  • Prevent Adverse Reactions: Identify potential drug-gene interactions.
  • Proactive Healthcare: Make informed medication decisions with your healthcare provider.

Unlock the power of personalized medicine with Medicamap. Take control of your health and optimize your medication journey today.

References:

 

Related Products

MedicaMap

Medicamap Plus

Disclaimer: The information provided here is not exhaustive by any means. Always consult your doctor or other qualified healthcare provider with any questions you may have regarding a medical condition, procedure, or treatment, whether it is a prescription medication, over-the-counter drug, vitamin, supplement, or herbal alternative.