Research Article

# Construction of a Drug Safety Assurance Information System Based on Clinical Genotyping

## Algorithm 1

GeneDrugMatch algorithm.
 Input: patient record (P) and drug record (D) for user-selected drug Output: user messages, calculated dose-response curves (1) DI ← new DrugInteraction record (Figure 1) (2) Mult, Dec, Inc ← 0 (3) if no row exists in DrugEnzyme (DE) table where DE.Enzyme = D.Enzyme & DE.Drug = D.Drug then (4)  output “No Interaction Detected” (5) else (6)  DI ← row from DrugInteraction table (DIT) where DIT.GenericName = D.GenericName & DIT.Form = D.Form & DIT.Delivery = D.Delivery (7)  if DI.DrugMetabolite is not null then (8)     output “ProDrug Interaction Detected” (9)    else (10)   output “Interaction Detected” (11)   Mult ← Multiplier from DrugMultiplier (DM) where DM.Allele1 = P.Allele1 & DM.Allele2 = P.Allele2 & DM.Drug = D.Drug {null if no match} (12)   if Mult is not null then (13)    Graph(DI, P.Weight, D.Dose, Mult) (14)   else if DI.PoorMetabolizerMultiplier is not null then (15)    Mult ← DI.PoorMetabolizerMultiplier (16)    Graph(DI, P.Weight, D.Dose, Mult) (17)   else (18)    for all alleles in Allele (A) that match patient’s alleles (P.Allele or P.Allele2) do (19)     if A.AlleleEffectInvivo = ↑ then (20)      Inc ← Inc + 1 (21)     else if A.AlleleEffectInvivo = ↓ then (22)      Dec ← Dec + 1 (23)     end if (24)    end for (25)    if Inc ≥ 1 or Dec ≥ 1 then (26)     Mult ← 1 + (Inc * 0.33) − (Dec * 0.33) (27)     Graph(DI, P.Weight, D.Dose, Mult) (28)    else (29)     output “Not Enough Information to Graph” (30)    end if (31)   end if (32)  end if (33) end if

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