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. Author manuscript; available in PMC: 2019 May 1.
Published in final edited form as: Clin Pharmacol Ther. 2018 Mar 30;103(5):778–786. doi: 10.1002/cpt.1048

Table 2.

Summary of the pre-meeting PGx implementation survey (36 responding of 73 invited).

Question (N=total) Percent
Type of PGx Implementation (N=40)1 57 Clinical and Research
28 Clinical Only
15 Research Only
Responding Institution (36) 53 Academia
22 Non-academic setting
14 Hospital
11 Other healthcare setting
Triggers Prompting PGx Test Orders (N=40) 35 Reactive
65 Pre-emptive
Type of Alert Prompting PGx Test Order or Notification of PGx Test Results (N=39) 51 Active and Passive
31 Active (i.e. alert and/or specific message sent)
18 Passive (i.e. the test order was available on demand only)
Filing for 3rd Party Reimbursement for PGx Tests (N=37) 60
40
Filing
Not Filing
External Resources or Knowledgebases Used (N=36) 94 CPIC
78 PharmGKB
19 IGNITE Spark
17 ClinVar
Genotyping Platforms Used (N=47)* 38 Real-Time PCR Systems
17 DMET Panel
13 ADME Panel
32 Other
PGx Gene-Drug Pair Currently Tested (N=35) 91 CYP2C19-Clopidogrel
86 SLCO1B1-Simvastatin
83 CYP2C9/VKORC1-Warfarin
80 TPMT-Thiopurines
74 CYP2D6-Codeine
71 CYPG2C19 and/or CYP2D6-Antidepressants
60 DPYD-Fluorouracil, capecitabine
43 UGT1A1-Irinotecan, Belinostat, Nilotinib, Pazopanib, Erlotinib, Atazanavir, Abacavir, Indacaterol
40 IFNL3-Ribavarin, peginterferon
34 HLAB-Abacavir
31 HLA-Allopurinol, Carbamazepine, Phenytoin
1

Some participants reported on more than one project.

2

Some projects used more than one platform.