Pharmacogenomics is the study of how people respond to drugs based on their genetic makeup.
Personalized (or precision) medicine involves tailoring an individual’s healthcare in order to optimize the effectiveness of disease diagnosis, treatment, and prevention. Pharmacogenomics is the component of personalized medicine that helps ensure patients receive the right dose of the right medication.
PharmGKB Clinical annotations are rated based on the level of evidence for the association. There are 4 levels with Level 1 having the highest evidence and level 4 the lowest. The PharmGKB curators use specific criteria (population size, number of studies, statistical significance, reproducibility) to assess Variant Annotations and determine the level of evidence.
Sample reports for the Drug-Drug Interaction Report and the Personalized Pharmacogenomic Overview are available.
There are many Direct to Consumer at-home DNA testing companies including Ancestry, 23andme, FamilyTree, LivingDNA, and MyHeritage that provide inexpensive testing with access to the raw DNA file upon completion.
Not at this time. These files are considerably larger, and we are currently adapting our platform for screening these files in a timely fashion.
Your raw DNA file is identified only by the random number you are assigned when you sign up for an account. We keep all DNA data in encrypted stores with restricted access, even within the company. Furthermore, only the owner of an account, or someone made a manager by the owner has access to the raw DNA file and all associated reports.
Star alleles is an annotation system used to identify pharmacogenomic markers. By using star alleles, a single star allele can identify not just a single variant, but a group of variants.
MyGenomeRx checks 2038 genes at over 1 million rsIDs but results depend on the rsIDs sequenced initially that are part of your raw DNA file, thus MyGenomeRx reports are dependent on the initial platform used for testing. Below are some of the allelic variations checked by the Ancestry and 23and me DNA platforms.
Ancestry
CYP1A2
CYP1A2*1F
CYP2A6
CYP2A6*2; CYP2A6*9A; CYP2A6*15
CYP2B6
CYP2B6*18; CYP2B6*22; CYP2B6*27
CYP2C8
CYP2C8*2; CYP2C8*3; CYP2C8*4; CYP2C9*13
CYP2C9
CYP2C9*3; CYP2C9*5; CYP2C9*6; CYP2C9*8
CYP2D6
CYP2D6*9; CYP2D6*10; CYP2D6*38
CYP3A4
CYP3A4*1B; CYP3A4*1G; CYP3A4*8; CYP3A4*18B; CYP3A4*20; CYP3A4*22
CYPP3A5
CYP3A7*1A; CYP3A5*3; CYP3A5*6; CYP3A5*7
CYP4F2
CYP4F2*3
G6PD
G6PD A- 202A_376G; G6PD Mediterranean; G6PD Mediterranean, Dallas, Panama’ Sassari, Cagliari, Birmingham
NAT2
NAT2*5; NAT2*6; NAT2*7; NAT2*12; NAT2*13; NAT2*14
SLCO1B1
SLCO1B1*1B; SLCO1B1*9; SLCO1B1*12; SLCO1B1*14; SLCO1B1*15
TPMT
TPMT*3A; TPMT*3B; TPMT*3C; TPMT*23; TPMT*37
UGT
UGT1A1*6; UGT1A1*60; UGT1A6*2a; UGT1A6*4a; UGT1A6*8; UGT2B15*2
23andMe
CYP1A2
CYP1A2*1F
CYP2A6
CYP2A6*2; CYP2A6*10; CYP2A6*17; CYP2A6*21
CYP2B6
CYP2B6*18; CYP2B6*2; CYP2B6*22; CYP2B6*27; CYP2B6*28; CYP2B6*4; CYP2B6*5
CYP2C19
CYP2C19*10; CYP2C19*11; CYP2C19*13; CYP2C19*14; CYP2C19*15; CYP2C19*17; CYP2C19*19; CYP2C19*3
CYP2C8
CYP2C8*2; CYP2C8*3; CYP2C8*4
CYP2C9
CYP2C9*11; CYP2C9*16; CYP2C9*2; CYP2C9*27; CYP2C9*3; CYP2C9*31; CYP2C9*42; CYP2C9*5; CYP2C9*6; CYP2C9*8
CYP2D6
CYP2D6*2; CYP2D6*3; CYP2D6*6; CYP2D6*7; CYP2D6*8; CYP2D6*9; CYP2D6*10; CYP2D6*14; CYP2D6*17; CYP2D6*29; CYP2D6*33; CYP2D6*39; CYP2D6*41; CYP2D6*45; CYP2D6*55; CYP2D6*64; CYP2D6*65; CYP2D6*69; CYP2D6*91; CYP2D6*98; CYP2D6*114
CYP3A4
CYP3A4*1B; CYP3A4*4
CYP3A5
CYP3A5*3; CYP3A5*6; CYP3A5*7
CYP3A7
CYP3A7*1A
CYP4F2
CYP4F2*3
G6PD
G6PD A- 202A_376G; G6PD Mediterranean; G6PD Mediterranean, Dallas, Panama’ Sassari, Cagliari, Birmingham,
NAT2
NAT2*5; NAT2*6; NAT2*7; NAT2*12; NAT2*13; NAT2*14
SLCO1B1
SLCO1B1*1B; SLCO1B1*9; SLCO1B1*12; SLCO1B1*14; SLCO1B1*15
TPMT
TPMT*3A; TPMT*3B; TPMT*3C; TPMT*3D; TPMT*1S; TPMT*24
UGT
UGT1A1*6; UGT1A1*60; UGT1A6*4a; UGT1A6*8; UGT2B15*2
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