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. Author manuscript; available in PMC: 2018 Nov 1.
Published in final edited form as: Clin Pharmacol Ther. 2017 Jun 15;102(5):859–869. doi: 10.1002/cpt.709

Table 2.

Applicability of Pharmacogenomics to Most Frequently Changed Medications

Medication Prescriptions, n (at baseline) Medication Changes,a n (%)b Influencedc by PGx, n (%)
Atorvastatin 301 35 (4.3) 14 (40.0)
Lisinoprild 240 35 (4.3) n/ad
Amlodipine 232 34 (4.2) 10 (29.4)
Hydrochlorothiazide 258 34 (4.2) 9 (26.5)
Omeprazole 144 26 (3.2) 12 (46.2)
Chlorthalidoned 42 23 (2.8) n/ad
Aspirin 524 22 (2.7) 4 (18.2)
Esomeprazole 73 22 (2.7) 9 (40.9)
Fluticasone Propionate 136 20 (2.5) 2 (10.0)
Metoprolol 196 20 (2.5) 6 (30.0)
a

includes new medications, dose changes, and discontinuations;

b

reflects each drug’s changes as a percentage of all total medication changes in the study;

c

see Methods for determination of prescriptions influenced by PGx;

d

no clinically actionable pharmacogenomic information existed for this drug, so attribution of influence of pharmacogenomics for this drug was not applicable (n/a);

PGx = pharmacogenomics