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Using genetics for drug prescribing: will it happen?
• Hype and hope• Relating DNA polymorphisms to variable
human physiology and drug responses: examples
• A view to the future
Take-home messages
• Diversity among human genomes can explain variability in human physiology, and its response to the environment.
• Pharmacogenetic information is now affecting drug development, and will enter clinical practice (a personal opinion).
• “Proving” genotype-phenotype relations requires collaborations among clinical investigators, basic biologists, information managers and statisticians, systems biologists, technologists, ethicists…
Case presentations
• A 68 year old man presents with a large anterior myocardial infarction, and has a VF arrest in the Emergency Room.
• Grade 4 diarrhea occurs in a 65 year old man receiving irinotecan for colon cancer.
• A 70 year old woman starts coumadin 5 mg/day for atrial fibrillation. One week later, her INR is 12.
• A 78 year man develops a QT interval of 700 msec and Torsades de Pointes a day after starting dofetilide.
• Life-threatening sepsis arises in a 9-year-old girl after 6-MP therapy for ALL.
“idiosyncratic” drug response
understand the biology
identify causative DNA variants
“idiosyncratic” response now predictable and
avoidable
Pharmacogenetics: Large single gene effects
cytotoxic
6-TGN concentrations
6-thioguanines (6-TGNs)
LL*3A/*3A(mutant)
HL*1/*3A
(heterozygote)
HH*1/*1
(wild-type)
1/300
*3A/*3A
*1/*3A *1/*1
“single nucleotide polymorphisms” (SNPs)
azathioprine
An “idiosyncratic” drug response
AR, 78 year old man• Chronic heart disease with history of bypass
surgery and valve replacement• Cardiac arrest 4 days after major abdominal
surgery; placed on dofetilide (a potent and highly selective blocker of a potassium current called IKr) to prevent recurrence. 2 days later:
Torsades de Pointes• Also characteristic of the
congenital long QT syndrome• Drug-induced QT
prolongation and torsades is the single commonest cause for drug withdrawal or relabeling in the past decade.
AR: An “idiosyncratic” drug response
• DNA variant resulting in R583C identified in KCNQ1, a gene controlling QT duration and mutated in a common form of the congenital Long QT Syndrome.
• R583C alters protein function in vitro: reduces IKs.
• Absent in >1000 controls “mutation”. This man has the congenital long QT syndrome, that remained asymptomatic for 78 years.
How did AR avoid arrhythmias for
2,000,000,000 heart beats? The concept of reduced repolarization
reserve• Redundancy (“reserve”) in cardiac repolarization allowed him to maintain a normal QT until other lesions (heart disease, dofetilide) were superimposed.
Patient 1 Patient 2
Same QT-prolonging drug
Drug ATPMT
inactive metabolite
Drug BCYP2C9
inactive metabolite
Drug C renal excretion
Drug DCYP3A4
inactive metabolite
transport by drug efflux pump
Redundancy in physiologic systems: “high risk pharmacokinetics”
6-MP
warfarin
digoxin
terfenadine (Seldane)
inhibitor drug
inhibitor drug
low margin between doses needed for efficacy and doses producing toxicity (therapeutic index)
a single pathway for drug elimination that is genetically variable or subject to inhibition by interacting drugs
PLUS
Drug ATPMT
inactive metabolite
Drug BCYP2C9
inactive metabolite
Drug C renal excretion
Drug DCYP3A4
inactive metabolite
Drug ECYP2C9
inactive metabolite
transport by drug efflux pump
Redundancy in physiologic systems: “high risk pharmacokinetics”
transporterrenal excretion
CYP3A4inactive metabolite
TPMTinactive metabolite
6-MP
warfarin
digoxin
terfenadine (Seldane)
inhibitor drug
inhibitor drug
Drug E will be an especially attractive agent if it also has a
high therapeutic index
Redundancy in physiologic systems as a protective
mechanism• arrhythmia susceptibility• susceptibility to adverse drug reactions
and interactions • “multi-hit” requirement for
carcinogenesis
“idiosyncratic” drug response
understand the biology
identify causative DNA variants
“idiosyncratic” response now
predictable and avoidable
Pharmacogenetics: Large single gene
effects
unusually variable drug response
identify associated DNA polymorphisms
• adjust dose or change drugs
• discover new biology and new drug targets
Pharmacogenomics:Discovering new
biology
1950 20201980
PHARMACOGENETICS
PHARMACOGENOMICS
Single gene Small number of genes
Complex biologic pathway
Large single variant effect
Smaller effect; multiple variants
Whole genome
PHARMACOGENOMICS(large populations)
Single gene Small number of genes
Complex biologic pathway
Large single variant effect
Smaller effect; multiple variants
Whole genome
• Rare coding region variants (polymorphisms or mutations)
• Commoner coding and regulatory variants• Detectible effects of polymorphisms in >1 gene• Pathway analysis and whole genome approaches
PHARMACOGENOMICS
PHARMACOGENETICS(snlall groups)
25 = 32 possible combinations
Haplotype A: CCGATCTCTGHaplotype B: TCGGTCCGCG
Variants in the warfarin target – 2
Single Nucleotide Polymorphisms (SNPs) in the VKORC1 promoter
CG TCCT
AG
TCCGTCGReider et al.NEJM 2005
Variants in both drug metabolism (CYP2C9) and drug target (VKORC1)
genes affect warfarin dose requirement
• 554 patients on chronic warfarin; early dropouts not included
• CYP2C9 genotype predicts 9% of dosage variability
• VKORC1 haplotype accounts for 23%• Illustrates
• Multi-gene effects can be detected• Understanding mechanisms in rare syndromes can
inform the study of common biologic problems • Increasing importance of haplotypes
Reider et al., NEJM 2005
A 68 year old man presents with a large MI, and has a VF arrest in the
ERPatient 1 Patient 2
Same acute MI
?“reduced antifibrillatory reserve”
Reduced cardiac sodium current predisposes to serious arrhythmias
Hypothesis: Variable sodium channel expression is a candidate mechanism for variability in basal conduction velocity, and in susceptibility to slowed conduction with exogenous stressors (drugs, myocardial ischemia). Slow conduction predisposes to sudden death due to VF.
Loss of function mutations in the sodium channel gene cause a
distinctive ECG and ↑↑risk of VF
Brugada syndrome
Sodium channel blocking drugs increase mortality
Days from randomization
% s
urvi
val
encainide orflecainide (n=730)
Placebo (n=725)
6 sodium channel promoter variants, found only in Asians
intron 1promoter
0-1000-2000 bp 1000
T-1
41
8C
T-1
06
2C
T-8
47
G
-83
5in
sGC
G-3
54
C
C2
87
T
exon 1 (non-coding)
intron 1promoter
-1000-2000 bp 1000-1000-2000 bp 1000
T-1
41
8C
T-1
06
2C
T-8
47
G
-83
5in
sGC
G-3
54
C
C2
87
T
exon 1 (non-coding)
exon 1 (non-coding)
6 variants: 26 = 64 possible combinations
6 sodium channel promoter variants, found only in Asians, in very tight linkage disequilibrium
intron 1promoter
0-1000-2000 bp 1000
T-1
41
8C
T-1
06
2C
T-8
47
G
-83
5in
sGC
G-3
54
C
C2
87
T
exon 1 (non-coding)
C C G ins C TC C G ins C T
T T T --- G CT T T --- G C 75.5%Haplotype A
24%Haplotype B
C T T --- C CC T T --- C C 0.5%Haplotype C
Frequency*
intron 1promoter
-1000-2000 bp 1000-1000-2000 bp 1000
T-1
41
8C
T-1
06
2C
T-8
47
G
-83
5in
sGC
G-3
54
C
C2
87
T
exon 1 (non-coding)
exon 1 (non-coding)
C C G ins C TC C G ins C T
T T T --- G CT 75.5%75.5%
24%24%
C T T --- C CC T T --- C CC T T --- C CC T T --- C C
Frequency
Haplotype B ↓↓promoter activity
0
3
6
9
12
15
18
Wild Type 6-changehaplotype
Wild Type 6-changehaplotype
Fo
ld a
ctiv
ity
CHO cells Cardiomyocytes
n=13, p=0.04 n=9, p=0.006
A B A B
80
100
120
140
AA AB BB
AA AB BB80
100
120
140
normals
71 probands with Brugada Syndrome
QR
S d
urat
ion
(mse
c)
60 34 8
45 21 5
Ventricular conduction is slower with the reduction of function
allele
QRS duration (msec)
Genotype-dependent incremental conduction slowing by sodium channel
blockers
AA AB BB
200
80
120
160
200+20
msec+17
msec+29
msec
Who has the longest QRS duration?Brugada Syndrome mutation + drug exposure + BB haplotype
“Genes load the gun, environment pulls the trigger”
“idiosyncratic” response now
predictable and avoidable
“idiosyncratic” drug response
understand the biology
identify causative DNA variants
Pharmacogenetics: Large single gene
effects
1950
unusually variable drug response
identify associated DNA polymorphisms
• adjust dose or change drugs
• discover new biology and new drug targets
Pharmacogenomics:Discovering new
biology
20201980 2050
Routine patient visit
identify or look up DNA variants in
that patient
adjust dose or change drugs
The futureMoving to widespread
practice
Genotypes:CYP2D6: *4/*4CYP2C9: wt/*2NAT: slowTPMT: wt/wtUGT1A1: 6/6ACE: IDCETP: BBBRCA1: negative1 AR: S49/G3892 AR: R16/G27KCNQ1: R583CHERG: wt/wtKCNE1: wt/wtKCNE2: wt/wtApo: 2/3ABCA1: wt/wt