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Ismail sadek
 Determine the sequence of the 3 billion nucleotides that
make up human DNA
 Characterize variability in the genome
 Identify all the genes in human DNA
 The Era of Genomic Medicine:
 Improve prediction of drug efficacy or toxicity
 Improve the diagnosis of disease
 Earlier detection of genetic predisposition to disease
 DNA
 A, T, G, C
 Codon
 Gene
 Chromosome
 Genome
 ENGLISH
 Abcdefg….xyz
 Word
 Sentence
 Chapter
 Book
diagnosis
trials and errors
effective treatment
TODAY….
TOMORROW….
tailor made
 Age
 Race/ethnicity
 Weight
 Gender
 Concomitant Diseases
 Concomitant Drugs
 Social factors
 GENETICS
PERSONALIZED
MEDICINE
 Pharmacogenetics
 Study of how genetic differences in a SINGLE
gene influence variability in drug response (i.e.,
efficacy and toxicity)
 Pharmacogenomics
 Study of how genetic (genome) differences in
MULTIPLE genes influence variability in drug
response (i.e., efficacy and toxicity)
 Hypothesis
 Variability in response, toxicity and adverse effects
following drug treatment is influenced by genetic
variation
 Advantages
 Genotyping can be done any time
 Not influenced by current treatment
 Can be measured very reliably
 Genome fully sequenced
 Easy to do – peripheral blood sample
"Here's my
sequence..."
The New Yorker
 Maximize drug efficacy
 Minimize drug toxicity
 Predict patients who will respond to intervention
 Aid in new drug development
 Mutation: difference in the DNA code that
occurs in less than 1% of population
 Often associated with rare diseases
 Cystic fibrosis, sickle cell anemia, Huntington’s
disease
 Polymorphism: difference in the DNA code
that occurs in more than 1% of the population
 A single polymorphism is less likely to be the
main cause of a disease
 Polymorphisms often have no visible clinical
impact
 Pronounced “snip”
 Single base pair difference in the DNA sequence
 Over 2 million SNPs in the human genome
 Other polymorphisms:
 Insertion/deletion polymorphisms
 Gene duplications
 Gene deletions
 Alleles = different DNA
sequences at a locus
 Codon 389 1-AR
 Arg (0.75)
 Gly (0.25)
 Genotype = pair of alleles a
person has at a region of the
chromosome
 Codon 389 1-AR
 Arg389Arg
 Arg389Gly
 Gly389Gly
DRUG
TARGETS
DRUG
METABOLIZING
ENZYMES
DRUG
TRANSPORTERS
PHARMACOKINETICSPHARMACODYNAMICS
Variability in
Efficacy/Toxicity
 Evidence of an inherited basis for drug response
dates back in the literature to the 1950s
 Succinylcholine: 1 in 3000 patients developed
prolonged muscle relaxation
 Monogenic
 Phenotype to genotype approach
 CYP2D6 is responsible for the metabolism of a number of different
drugs
 Antidepressants, antipsychotics, analgesics, cardiovascular drugs
 Over 100 polymorphisms in CYP2D6 have been identified
 Based on these polymorphisms, patients are phenotypically
classified as:
 Ultrarapid metabolizers (UMs)
 Extensive metabolizers (EMs)
 Poor metabolizers (PMs)
 Increased rate of adverse effects in poor metabolizers due to
increased plasma concentrations of drug:
 Fluoxetine (Prozac) death in child attributed to CYP2D6 poor
metabolizer genotype
 Side effects of antipsychotic drugs occur more frequently in
CYP2D6 poor metabolizers
 CYP2D6 poor metabolizers with severe mental illness had more
adverse drug reactions, increased cost of care, and longer hospital
stays
 Treatment of attention deficit hyperactivity disorder
 CYP2D6 poor metabolizers have 10-fold higher
plasma concentrations to a given dose of
STRATTERA compared with extensive metabolizers
 Approximately 7% of Caucasians are poor
metabolizers
 Higher blood levels in poor metabolizers may lead to
a higher rate of some adverse effects of STRATTERA
 The Roche AmpliChip CYP450 Test is intended to identify a patient's
CYP2D6 and CYP2C19 genotype from genomic DNA extracted from a
whole blood sample.
 Information about CYP2D6 and CYP2C19 genotype may be used
as an aid to clinicians in determining therapeutic strategy and treatment
dose for therapeutics that are metabolized by the CYP2D6 or CYP2C19
gene product.
 Direct protein target of drug
 Receptor
 Enzyme
 Proteins involved in pharmacologic response
 Signal transduction proteins or downstream proteins
 Polymorphisms associated with
disease risk
 “Disease-modifying” polymorphisms
 “Treatment-modifying” polymorphisms
 POLYGENIC
 Depression—Symptom rating scales
 Indirect measure of drug response
 Inter-rater reliability
 Hypertension—Blood pressure
 Minute to minute and diurnal variability
 Influence of environmental factors (e.g. lack of rest before
measurement)
 Diabetes—Blood glucose
 Diurnal variation in blood glucose
 Influence of environmental factors (e.g. diet/exercise)
 It required a shift in clinician attitude and beliefs “not one
dose fits all”
 Paucity of studies demonstrating improved clinical benefit from
use of pharmacogenomic data
 Still much to be learned
 Even some of the black block warnings currently on
drug labels may be overcalls of importance
 Genome wide interrogation will likely be important to get the
entire picture
Larry Lesko, Director of the FDA Office of Clinical
Pharmacology and Biopharmaceutics
 Despite the enormous progress made in the understanding of
the neurobiology of MDD, treatment outcomes have improved
only slightly in the past few decades in spite of the broadening
of the target spectrum of antidepressants (ADs).
 The recent Sequence Treatment Alternatives to Relieve
Depression (STAR*D) study indicate that even with systematic
measurement-based treatment, only approximately 50% of
patients show response to treatment after one treatment trial,
and only 30% of patients reach full remission.
 There is a significant decrease in remission rate after two
failed trials, with only 60% reaching full remission after
four treatment trials
 The long duration required to conclude treatment success
or failure (eight to twelve weeks) can prove to be a
difficult and frustrating experience for the patient and the
family and may even increase the risk of suicide,
 Besides failure to reach remission, relapse rate is
also over 40%, especially in patients who did not
achieve full remission.
 Treatment resistant depression (TRD) is an
extremely common problem, affecting a large
proportion of all patients suffering from major
depressive episodes
 Since genetic factors contribute for about 50% of the
Adverse response, pharmacogenetic researchers have
assumed that in order to minimize disorder duration
and re-duce the occurrence of Adverse response it
would be useful to be able to predict the
pharmacological intervention likely to be effective and
tolerable for each patient according to the patient’s
specific genetic makeup.
 The cytochrome P450s (CYPs) are members of a
superfamily of oxidative enzymes, and act as the major
system for phase I oxidative metabolism of approximately
80% of the commonly used therapeu-tic substances
 This important endogenous system has received the most
attention by pharmacogenetic researchers, leading to the
discovery of 58 different human CYP genes with various
polymorphisms that affect drug metabolism
 The variations of DNA within the coding genes may
contribute to excessive metabolism as well as diminished
or absent metabolism of a drug, leading to the prolonged
presence of a toxic dose or failure to reach therapeutic
dose of the given medication.
 The clinically most important isoenzymes of he-patic
CYPs, regarding AD metabolism, are CYP1A2, CYPC9/19,
CYP2D6, CYP3A4 and CYP2B6
 The majority of ADs (fluoxetine; fluvoxamine; paroxetine;
venlafaxine; mirtazapine; amitriptyline; imipramine;
trimipramine; desipramine; nortriptyline) are metabolized
primarily by CYP2D6
 CYP2D6 is the most researched gene in the field of
pharmacogenetics, and more than 100 different alleles
were identified which determine the level of activity of the
enzyme
According to the number of gene copies inherited,
individuals are classified as :
 poor (PM),
 intermediate (IM),
 extensive (EM), or
 ultrarapid metabolizers (UM).
 A gene x environment effect has been shown
concerning the CYP1A2 izoenzyme, in which the
presence of an exogenous inducer, tobacco smoke
affects transcription and translation and may
contribute to an UM phenotype, resulting in an up to
50% reduction in plasma concentration of Ads
 Some CYP1A2 polymorphisms (rs4646425;
rs2472304; rs2470890) may also influence treatment
response to paroxetine
 P-glycoprotein (P-gp) is a member of the ATP-binding
cassette superfamily of membrane transport proteins
encoded by the ABCB1 gene also known as the multidrug
resistance protein 1 (MDR1) gene.
 P-glyco-protein 1 is found in various human tissues,
including the endothelial cells of the blood-brain barrier
(BBB) and is responsible for the efflux of many exogenous
and endogenous substances against a concentration
gradient influencing antidepressant concentrations in the
brain as well.
 Monoamine transporters Serotonin
Transporter (SLC6A4) The human serotonin
transporter (5-HTT) gene is potentially
involved in mood regulation and the great
majority of currently used ADs influences the
activity of 5-HTT, making it an ideal
candidate for pharmacogenetic studies.
 A 44-bp insertion/deletion poly-morphism with 2 allelic
forms within the serotonin transporter gene promoter region
(5-HTTLPR) that could affect SLC6A4 expression was shown
to have functional significance with the long allele (l)
associated with two times higher 5-HTT expression in the
basal state compared to the s allele according to in vitro
studies
 Caucasian subjects report that presence of the s allele is
associated with lower response and remission
 According to the results of a recent GWAS study
cer-tain genetic variations of the noradrenalin
transporter may be associated with the risk of
MDD. In addition, the noradrenalin transporter is
the principal site of action of some ADs
 It is assumed that dopaminergic mechanisms play an
important role in AD drug action, since AD drugs, in particular
dopamine/norepinephrine reuptake inhibitor bupropion and
specific members of SSRIs (mainly sertraline) modulate
activity of the dopamine transporter.
 A 40-base pair VNTR polymorphism in the SLC6A3 gene,
encoding for the dopamine transporter (DAT) has been
associated with expression levels of the transporter.
 Tryptophan hydroxylase
 The tryptophan hydroxylase (TPH) gene encoding
the rate-limiting enzyme in serotonin synthesis has
been studied intensively in psychiatric disorders,
yielding mixed results.
 The COMT enzyme is responsible for the inactiva-
tion of various catecholamines including dopamine,
adrenalin and noradrenalin.
 The COMT gene has several allelic variants,
including the most extensively studied rs4680
variant.
 A functional G to A SNP at codon 158 leading to a
Val to Met substitution was identified contributing
to a high activity Val/Val, intermediate activity
Val/Met, low activity in Met/Met genotype
 MAO-A is one of the enzymes responsible for the
degradation of monoamine neurotransmitters. One
polymorphism in the promoter region of the MAO-A gene
consisting of a repetitive sequence (VNTR) has been
linked to variations in the biological activity and
consequentially serotonin concentrations.
 Variants with 3.5 or 4 copies of the repeat sequence
(“MAO-A High”) are expressed 2-10 times more efficiently
than those with 2, 3 or 5 copies of the repeat
 Monoamine receptors are among the most
plausible candidates for modulation of AD
response, since most ADs act to increase
monoamine concentration in the synaptic
cleft.
 About 50 known SNPs have been described regarding
the 5-HT1A autoreceptor. One of the most intensively
investigated functional polymorphism (rs6295; a.k.a.
1019C/G) is in the promoter region of the gene for 5-
HT1A receptor (Stahl, 1994). The majority of results
suggests an effect of the rs6295 on treatment outcome
with several classes of ADs,
 Three important common SNPs of the 5HTR2A gene are
102T/C (rs6313), 1438A/G (rs6311) and 452His/Tyr (rs6314).
 Overall, several studies have found that rs6313, rs6311 and
rs6314 SNPs are associated with response to AD treatment,
 Another genetic variant of the 5HTR2A gene (rs7997012) is
also associated with success of AD treatment.
 According to our current knowledge, among the
different adrenergic receptor subtypes, the β1 and
α2a receptors seem to play a role in response to AD
treatment
 A recently identified functional polymorphism
G(1165)C (a.k.a. rs1801253) in the ADRβ1 gene
(encoding adrenergic β1 receptor), resulting in the
amino acid variation Gly389Arg, has been linked to
enhanced coupling to the stimulatory Gs protein and
increased adenylate cyclase activation. This SNP might
be responsible for faster response to AD treatment
 G Protein β3 subunit
The β3 subunit of the G protein is present in all cells of the body
and has a key role in the downstream signaling cascade
following monoamine receptor activation.
 The C825T (a.k.a. rs5443) functional polymorphism is the
most investigated variant within the GNβ3 gene in this field. It
was associated with AD treatment response; particularly the T
variant seems to predict better AD response.
 CRH Receptors (CRHR1 and CRHR2)
Corticotropin releasing hormone (CRH) is a potent mediator
of endocrine, autonomic, behavioral, and immune
responses to stress.
 An association between the rs242941 G/G geno-type and
homozygous GAG haplotype of the 3 SNPs (rs1876828,
rs242939, and rs242941) and therapeutic response to
fluoxetine
 Another study did not find associations between some
other variants of CRHR1 gene (rs110402; rs242937) and
treatment response to citalopram
 The GENDEP study identified three SNPs
(rs852977, rs10482633 and rs10052957) which
may predict response to both ADs used in the
study (nortriptyline and escitalopram)
 Despite of expectations fuelled by the role of CREB in the
pathogenesis of depression, the role of CREB1 variants in
AD response was not verified .
 Furthermore, two SNPs (rs4675690; rs7569963) were
found to have a role in treatment-emergent suicidal
ideation in patients with MDD during citalopram
treatment, but only in males, suggesting a significant
gene x sex interaction
 Chronic stress leads to decreased levels of BDNF
in the brain, and serum/plasma BDNF levels of
patients with mood disorders are decreased.
 Results of the GENDEP study have raised the possibility
that that there is an association between rs10835210
variation in the BDNF gene and response to escitalopram
and a strong association between rs962369 in the BDNF
gene and an increase in suicidal ideation during AD
treatment (the same study identified some other
suicidality related regions in the BDNF gene
 According to results of the STAR*D study an SNP
(rs1954787) of the GRIK4 gene encoding kainate
receptor subunit 1 (KA1; a.k.a. GluK4) was
associated with treatment response to citalopram
 Despite the impressive potential of pharmacogenetics and
the great progress in the understanding of the
pathomechanism of MDD and the genetic influence both
on emergence of depression and on response to AD
treatment, the use of pharmacogenetics in current clinical
practice is still very limited,
 in part due to inconsistent results and failure to replicate
several associations.
 Another problematic issue is the complexity and
ultifactorial nature of the genetics underlying psychiatric
disorders and medication response. Since the therapeutic
mechanism of ADs is not well understood, it is difficult for
pharmacogenetic researchers to select “candidate” genes.
 Since chlorpromazine was first introduced into
clinical psychiatry, various kinds of
antipsychotics have been developed and used
for schizophrenia.
 Clinicians, however, still have considerable
difficulty in choosing an appropriate
antipsychotic for certain patients due to the
inter-individual diversities of drug response.
 Most antipsychotics are extensively metabolized by
cytochrome (CYP) P450s that are members of a
super-family of oxidative enzymes and that
constitute a major system for the oxida-tive
metabolism of therapeutic substances.
 The CYP2D6 has been most extensively
investigated in the field of psychiatry, since
this enzyme is involved in the metabolism
of many antipsychotics and has many
genetic polymorphisms that influence the
function of the enzyme.
 There are more than 70 variant alleles at
the CYP2D6 gene locus, including the two
most common variants, CYP2D6*4 and
CYP2D6*45, encoding non-functional
products.1 Other variants that reduce
activity, alter substrate specificity or
increase activity have also been described
 Compared with efficient metabolizers (EM), poor
metabolizers (PM) show no or reduced CYP2D6
activity bypolymorphisms resulting in potentially
increased concentrations of metabolized drugs.
 On the other hand, ultra rapid metabolizers
(UM) that can be found in 1% of Caucasians
often do not reach therapeutic concentrations
and require an increased dose. Pronounced
ethnic differences in the prevalence of both PM
and UM have been reported; e.g., the frequency
of PM is 5 to 10% among Caucasians, about 2%
in Asians, and 7–8% in Africans.
 PMs have higher plasma concentrations of and suffer more
adverse effects from antipsychotics. The incidence of the
acute side effects of these drugs, including postural hy-
potension, excess sedation, or extrapyramidal symptoms, is
disproportionately in PMs.
 On the other hand, it is not clear whether the development
of chronic side effects such as tardive dyskinesia is
associated with a reduced metabolizing capacity of CYP2D6.
 All receptor and transporter genes for
neurotransmitters as well as genes located down-
stream of the intracellular signaling pathways
can be considered candidate genes for the
pharmacodynamics of antipsychotics.
 It is difficult to select a good candidate gene,
since the true mechanism of therapeutic action of
antipsychotics has not been clarified yet.
 genetic polymorphisms in serotonin (5-HT)
and dopamine (DA) systems have been
extensively investigated in the
pharmacodynamics of antipsychotics
 The first candidate gene examined with regard to
clozapine response was the DA4 receptor gene
(DRD4) because in addition to its high affinity for
clozapine, the DA4 receptor is abundant in the
prefrontal cortex, (a brain region thought to be
related to the cognitive dysfunction of schizophrenia),
and the DRD4 gene itself is highly polymorphic.
 Among polymorphisms in the DRD4, the 48 bp
variable number of tandem repeats (VNTR) has
been the most extensively investigated, since the
VNTR was shown an in vitro study to influence
the sodium chloride sensitivity of clozapine-
binding and inhibition of c-AMP synthesis.
 The DA3 receptor, which shares homologies with both
the DA4 and DA2 receptors, has generated interest,
since the DA3 receptor gene (DRDA3) has a known
functional polymorphism,Ser9Gly, that influences
dopamine binding. However, the association between
the Ser9Gly and clozapine response remains
controversial.
 The DA2 receptor is a major site of the action of conventional
antipsychotics such as chlorpromazine and haloperidol, and of
some atypical antipsychotics such as risperidone. One
functional polymorphism (-141 Ins/Del) in the promoter
region, as well as missense variants including Ser311Cer and
an intronic variant (Taq 1 A), have been identified in the DA2
receptor gene (DRD2).
 The -141 Ins/Del polymorphism that influences
the expression of the DRD2 was reported to be
associated with anxiolytic and antidepressive
effects during treatment with two conventional
antipsychotics,
 Although theSer311Cer was shown to influence c-
AMP synthesis, it has not been associated with
clozapine or with a typical antipsychotic response.
The Taq 1A that is located in the intron of DRD2
and has been reported to influence the density of
the receptor was shown to have an association
with the acute effects of a selective DA2 receptor
antagonist, nemonapride, and haloperidol.
 The 5-HT receptor genes have been regarded as
good candidates for pharmacodynamic stud-ies of
antipsychotics, since 5-HT mediated mechanisms
seem crucial to atypical antipsychotic drug action,
including that of clozapine.
 An association between the silent polymorphism
102T/C in the 5-HT2A receptor gene (HTR2A) and
clozapine has been reported.
 Hys452Tyr12 was shown to influence the
intracellular signal transduction of the 5-HT2A
receptor, as measured by Ca2+ mobilization
induced by 5-HT stimulation.
 In addition to the 5-HT2A receptor, other 5-HT receptors,
such as 5-HT 2C and 5-HT 6, have also been investigated in
psychopharmacognetic studies because atypical
antipsychotics also have high affinity for these receptors.
 The Ser23 in the 5-HT2C receptor gene influences m-
chlorophenylpiperazine (m-CPP), a nonse-lective5-HT2C
agonist, binding, in comparison with Cys23. Therefore, the
Ser23 may be consti-tutively more active and tends to be
more desensitized.
 Not just one gene but multiple genes play a role in
complex phenotypes, including the clini-cal response to
medication. Arranz et al. published the most
comprehensive study to date of a pharmacogenetics
screening strategy: a combination of 6 out of 19
candidate gene variants (in 5-HT2A, 2C, 5-HT transporter
and Histamin 2 receptor genes) predicted response to
clozapine with a prediction level of 76.9%
 Interindividual Variability in Clozapine
Pharmacokinetics and Response: A Focus on
Cytochrome P450-1A2 (CYP1A2)-Mediated Enzyme
Metabolism
 Clinicians almost always initiate antipsychotic drugs in
schizophrenia “a priori” . However, this may lead to ineffective
treatment, to the use of an additional antipsychotic or multiple
antipsychotics, to different adverse effects, and result in
increased morbidity and mortality.
 This represents a real concern and calls for accurate scientific
methods that could be used to predict a reasonable
therapeutic response and also drug-induced side effects.
 Personalized prescription or “tailoring drugs to a patient’s
genetic makeup” would be more than beneficial (de Leon
2009b). In the context of personalized prescription,
clinicians need to consider environmental, personal and
genetic variables when prescribing any medication.
According to de Leon, personalized prescription in the
clinical practice may be described as personalized
selection of the drug and as personalized dosing
 In personalized dosing the knowledge of
pharmacodynamic and pharmacokinetic dosing
properties should be applied.
 At the present, in psychiatry there are five
pharmacogenomic tests that are currently
available on the market or are ready to be
introduced.
 However, three of the five tests have not published
complete details concerning the genes used in
them
 CYP 450 Test employs microarray technology for cytochrome
P450 (CYP) 2D6 and CYP 2C19 genotyping (de Leon et al.
2009c).
 Genomic DNA is extracted from a whole-blood sample to
identify 27 alleles in CYP2D6 that are associated with four
CYP2D6 phenotypes, and to identify three alleles in CYP2C19
that are associated with two CYP2C19 phenotypes (de Leon
et al. 2009c).
 The genotypes are then translated with software algorithms
into a predicted phenotype, which is indicative of the
CYP2D6 and CYP2C19 enzymatic activity.
 One company offers a genetic test for the
determination of high (1,5%) or low (0,5%) risk of
drug-induced agranulocytosis.
 The test can make a valuable prediction in the
treatment with clozapine, but does not obviate the
need for regular monitoring and has not a
significant impact on routine practice.
 A new system, called PhyzioType System uses an
ensemble of DNA markers from several genes to
predict an individual’s risk of developing some
adverse drug reactions. The clinical applica-bility
of this array is still under investigation.
 A recent study describes an array containing
probes to identify genetic variants for the risk of
hyperlipidemia.
 PhyzioType System uses
 Arranz et al. tried to combine genetic
information on the prediction of response to
clozapine. The prediction level in British
Caucasian patients on long-term treatment
was 76%, but the results were not replicated
in German cohort.
 Category: Atypical antipsychotic; Arilpiperazine
 Mechanism: Full agonist: 5-HT1A, 5-HT1B, 5-HT1D, 5-
HT6, 5-HT receptors; partial agonist: D2 and 5-HT1A
receptors;
 antagonist: 5-HT2A receptor
 Genes: ABCB1, ADRA1A, CYP2D6, CYP3A4, DRD2,
DRD3, HRH1, HTR1A, HTR1B, HTR1D, HTR2A, HTR2C,
HTR7
 Substrate: CYP2D6 (major), CYP3A4 (major)
Clozapine
 Category: Atypical antipsychotic; Dibenzodiazepine
 Mechanism: Antagonist of histamine H1, cholinergic and α1-
adrenergic receptors; antagonist: 5-HT1A, 5-HT2B; full agonist: 5-
HT1A, 5-HT1B, 5-HT1D, 5-HT1F; inverse agonist: 5-HT6, 5-HT7
 Genes: ABCB1, ADRA1A, ADRA1B, ADRA1D, ADRB3, APOA5,
APOC3, APOD, CNR1, CYP1A2, CYP2A6, CYP2C8/9, CYP2C19,
CYP2D6, CYP2E1, CYP3A4, DRD1, DRD2, DRD3, DRD4, DTNBP1,
FABP1, GNAS1, GNB3, GSK3B, HLAA, HRH1, HRH2, HRH4, HTR1A,
HTR1B, HTR1D, HTR1E, HTR1F, HTR2A, HTR2B, HTR2C, HTR3A,
HTR6, HTR7, LPL, RGS2, SLC6A2, SLC6A4, TNF, UGT1A3, UGT1A4
 Substrate: ABCB1, CYP1A2 (major), CYP2A6 (minor), CYP2C8/9
(minor), CYP2C19 (minor), CYP2D6 (minor), CYP3A4 (major),
FMO3, UGT1A3, UGT1A4
 Inhibitor: CYP1A2 (weak), CYP2C8/9 (moderate), CYP2C19
(moderate), CYP2D6 (moderate), CYP2E1 (weak), CYP3A4 (weak)
Pharmacogenetics of antipsychotic and antidepressent

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Pharmacogenetics of antipsychotic and antidepressent

  • 2.  Determine the sequence of the 3 billion nucleotides that make up human DNA  Characterize variability in the genome  Identify all the genes in human DNA  The Era of Genomic Medicine:  Improve prediction of drug efficacy or toxicity  Improve the diagnosis of disease  Earlier detection of genetic predisposition to disease
  • 3.  DNA  A, T, G, C  Codon  Gene  Chromosome  Genome  ENGLISH  Abcdefg….xyz  Word  Sentence  Chapter  Book
  • 4. diagnosis trials and errors effective treatment TODAY…. TOMORROW…. tailor made
  • 5.  Age  Race/ethnicity  Weight  Gender  Concomitant Diseases  Concomitant Drugs  Social factors  GENETICS PERSONALIZED MEDICINE
  • 6.  Pharmacogenetics  Study of how genetic differences in a SINGLE gene influence variability in drug response (i.e., efficacy and toxicity)  Pharmacogenomics  Study of how genetic (genome) differences in MULTIPLE genes influence variability in drug response (i.e., efficacy and toxicity)
  • 7.  Hypothesis  Variability in response, toxicity and adverse effects following drug treatment is influenced by genetic variation  Advantages  Genotyping can be done any time  Not influenced by current treatment  Can be measured very reliably  Genome fully sequenced  Easy to do – peripheral blood sample
  • 9.  Maximize drug efficacy  Minimize drug toxicity  Predict patients who will respond to intervention  Aid in new drug development
  • 10.  Mutation: difference in the DNA code that occurs in less than 1% of population  Often associated with rare diseases  Cystic fibrosis, sickle cell anemia, Huntington’s disease  Polymorphism: difference in the DNA code that occurs in more than 1% of the population  A single polymorphism is less likely to be the main cause of a disease  Polymorphisms often have no visible clinical impact
  • 11.  Pronounced “snip”  Single base pair difference in the DNA sequence  Over 2 million SNPs in the human genome  Other polymorphisms:  Insertion/deletion polymorphisms  Gene duplications  Gene deletions
  • 12.  Alleles = different DNA sequences at a locus  Codon 389 1-AR  Arg (0.75)  Gly (0.25)  Genotype = pair of alleles a person has at a region of the chromosome  Codon 389 1-AR  Arg389Arg  Arg389Gly  Gly389Gly
  • 14.  Evidence of an inherited basis for drug response dates back in the literature to the 1950s  Succinylcholine: 1 in 3000 patients developed prolonged muscle relaxation  Monogenic  Phenotype to genotype approach
  • 15.  CYP2D6 is responsible for the metabolism of a number of different drugs  Antidepressants, antipsychotics, analgesics, cardiovascular drugs  Over 100 polymorphisms in CYP2D6 have been identified  Based on these polymorphisms, patients are phenotypically classified as:  Ultrarapid metabolizers (UMs)  Extensive metabolizers (EMs)  Poor metabolizers (PMs)
  • 16.  Increased rate of adverse effects in poor metabolizers due to increased plasma concentrations of drug:  Fluoxetine (Prozac) death in child attributed to CYP2D6 poor metabolizer genotype  Side effects of antipsychotic drugs occur more frequently in CYP2D6 poor metabolizers  CYP2D6 poor metabolizers with severe mental illness had more adverse drug reactions, increased cost of care, and longer hospital stays
  • 17.  Treatment of attention deficit hyperactivity disorder  CYP2D6 poor metabolizers have 10-fold higher plasma concentrations to a given dose of STRATTERA compared with extensive metabolizers  Approximately 7% of Caucasians are poor metabolizers  Higher blood levels in poor metabolizers may lead to a higher rate of some adverse effects of STRATTERA
  • 18.
  • 19.  The Roche AmpliChip CYP450 Test is intended to identify a patient's CYP2D6 and CYP2C19 genotype from genomic DNA extracted from a whole blood sample.  Information about CYP2D6 and CYP2C19 genotype may be used as an aid to clinicians in determining therapeutic strategy and treatment dose for therapeutics that are metabolized by the CYP2D6 or CYP2C19 gene product.
  • 20.
  • 21.  Direct protein target of drug  Receptor  Enzyme  Proteins involved in pharmacologic response  Signal transduction proteins or downstream proteins  Polymorphisms associated with disease risk  “Disease-modifying” polymorphisms  “Treatment-modifying” polymorphisms  POLYGENIC
  • 22.
  • 23.  Depression—Symptom rating scales  Indirect measure of drug response  Inter-rater reliability  Hypertension—Blood pressure  Minute to minute and diurnal variability  Influence of environmental factors (e.g. lack of rest before measurement)  Diabetes—Blood glucose  Diurnal variation in blood glucose  Influence of environmental factors (e.g. diet/exercise)
  • 24.  It required a shift in clinician attitude and beliefs “not one dose fits all”  Paucity of studies demonstrating improved clinical benefit from use of pharmacogenomic data  Still much to be learned  Even some of the black block warnings currently on drug labels may be overcalls of importance  Genome wide interrogation will likely be important to get the entire picture
  • 25. Larry Lesko, Director of the FDA Office of Clinical Pharmacology and Biopharmaceutics
  • 26.
  • 27.  Despite the enormous progress made in the understanding of the neurobiology of MDD, treatment outcomes have improved only slightly in the past few decades in spite of the broadening of the target spectrum of antidepressants (ADs).  The recent Sequence Treatment Alternatives to Relieve Depression (STAR*D) study indicate that even with systematic measurement-based treatment, only approximately 50% of patients show response to treatment after one treatment trial, and only 30% of patients reach full remission.
  • 28.  There is a significant decrease in remission rate after two failed trials, with only 60% reaching full remission after four treatment trials  The long duration required to conclude treatment success or failure (eight to twelve weeks) can prove to be a difficult and frustrating experience for the patient and the family and may even increase the risk of suicide,
  • 29.  Besides failure to reach remission, relapse rate is also over 40%, especially in patients who did not achieve full remission.  Treatment resistant depression (TRD) is an extremely common problem, affecting a large proportion of all patients suffering from major depressive episodes
  • 30.  Since genetic factors contribute for about 50% of the Adverse response, pharmacogenetic researchers have assumed that in order to minimize disorder duration and re-duce the occurrence of Adverse response it would be useful to be able to predict the pharmacological intervention likely to be effective and tolerable for each patient according to the patient’s specific genetic makeup.
  • 31.
  • 32.  The cytochrome P450s (CYPs) are members of a superfamily of oxidative enzymes, and act as the major system for phase I oxidative metabolism of approximately 80% of the commonly used therapeu-tic substances  This important endogenous system has received the most attention by pharmacogenetic researchers, leading to the discovery of 58 different human CYP genes with various polymorphisms that affect drug metabolism
  • 33.  The variations of DNA within the coding genes may contribute to excessive metabolism as well as diminished or absent metabolism of a drug, leading to the prolonged presence of a toxic dose or failure to reach therapeutic dose of the given medication.  The clinically most important isoenzymes of he-patic CYPs, regarding AD metabolism, are CYP1A2, CYPC9/19, CYP2D6, CYP3A4 and CYP2B6
  • 34.  The majority of ADs (fluoxetine; fluvoxamine; paroxetine; venlafaxine; mirtazapine; amitriptyline; imipramine; trimipramine; desipramine; nortriptyline) are metabolized primarily by CYP2D6
  • 35.  CYP2D6 is the most researched gene in the field of pharmacogenetics, and more than 100 different alleles were identified which determine the level of activity of the enzyme According to the number of gene copies inherited, individuals are classified as :  poor (PM),  intermediate (IM),  extensive (EM), or  ultrarapid metabolizers (UM).
  • 36.  A gene x environment effect has been shown concerning the CYP1A2 izoenzyme, in which the presence of an exogenous inducer, tobacco smoke affects transcription and translation and may contribute to an UM phenotype, resulting in an up to 50% reduction in plasma concentration of Ads  Some CYP1A2 polymorphisms (rs4646425; rs2472304; rs2470890) may also influence treatment response to paroxetine
  • 37.  P-glycoprotein (P-gp) is a member of the ATP-binding cassette superfamily of membrane transport proteins encoded by the ABCB1 gene also known as the multidrug resistance protein 1 (MDR1) gene.  P-glyco-protein 1 is found in various human tissues, including the endothelial cells of the blood-brain barrier (BBB) and is responsible for the efflux of many exogenous and endogenous substances against a concentration gradient influencing antidepressant concentrations in the brain as well.
  • 38.
  • 39.  Monoamine transporters Serotonin Transporter (SLC6A4) The human serotonin transporter (5-HTT) gene is potentially involved in mood regulation and the great majority of currently used ADs influences the activity of 5-HTT, making it an ideal candidate for pharmacogenetic studies.
  • 40.  A 44-bp insertion/deletion poly-morphism with 2 allelic forms within the serotonin transporter gene promoter region (5-HTTLPR) that could affect SLC6A4 expression was shown to have functional significance with the long allele (l) associated with two times higher 5-HTT expression in the basal state compared to the s allele according to in vitro studies  Caucasian subjects report that presence of the s allele is associated with lower response and remission
  • 41.  According to the results of a recent GWAS study cer-tain genetic variations of the noradrenalin transporter may be associated with the risk of MDD. In addition, the noradrenalin transporter is the principal site of action of some ADs
  • 42.  It is assumed that dopaminergic mechanisms play an important role in AD drug action, since AD drugs, in particular dopamine/norepinephrine reuptake inhibitor bupropion and specific members of SSRIs (mainly sertraline) modulate activity of the dopamine transporter.  A 40-base pair VNTR polymorphism in the SLC6A3 gene, encoding for the dopamine transporter (DAT) has been associated with expression levels of the transporter.
  • 43.  Tryptophan hydroxylase  The tryptophan hydroxylase (TPH) gene encoding the rate-limiting enzyme in serotonin synthesis has been studied intensively in psychiatric disorders, yielding mixed results.
  • 44.  The COMT enzyme is responsible for the inactiva- tion of various catecholamines including dopamine, adrenalin and noradrenalin.  The COMT gene has several allelic variants, including the most extensively studied rs4680 variant.  A functional G to A SNP at codon 158 leading to a Val to Met substitution was identified contributing to a high activity Val/Val, intermediate activity Val/Met, low activity in Met/Met genotype
  • 45.  MAO-A is one of the enzymes responsible for the degradation of monoamine neurotransmitters. One polymorphism in the promoter region of the MAO-A gene consisting of a repetitive sequence (VNTR) has been linked to variations in the biological activity and consequentially serotonin concentrations.  Variants with 3.5 or 4 copies of the repeat sequence (“MAO-A High”) are expressed 2-10 times more efficiently than those with 2, 3 or 5 copies of the repeat
  • 46.  Monoamine receptors are among the most plausible candidates for modulation of AD response, since most ADs act to increase monoamine concentration in the synaptic cleft.
  • 47.  About 50 known SNPs have been described regarding the 5-HT1A autoreceptor. One of the most intensively investigated functional polymorphism (rs6295; a.k.a. 1019C/G) is in the promoter region of the gene for 5- HT1A receptor (Stahl, 1994). The majority of results suggests an effect of the rs6295 on treatment outcome with several classes of ADs,
  • 48.  Three important common SNPs of the 5HTR2A gene are 102T/C (rs6313), 1438A/G (rs6311) and 452His/Tyr (rs6314).  Overall, several studies have found that rs6313, rs6311 and rs6314 SNPs are associated with response to AD treatment,  Another genetic variant of the 5HTR2A gene (rs7997012) is also associated with success of AD treatment.
  • 49.  According to our current knowledge, among the different adrenergic receptor subtypes, the β1 and α2a receptors seem to play a role in response to AD treatment  A recently identified functional polymorphism G(1165)C (a.k.a. rs1801253) in the ADRβ1 gene (encoding adrenergic β1 receptor), resulting in the amino acid variation Gly389Arg, has been linked to enhanced coupling to the stimulatory Gs protein and increased adenylate cyclase activation. This SNP might be responsible for faster response to AD treatment
  • 50.  G Protein β3 subunit The β3 subunit of the G protein is present in all cells of the body and has a key role in the downstream signaling cascade following monoamine receptor activation.  The C825T (a.k.a. rs5443) functional polymorphism is the most investigated variant within the GNβ3 gene in this field. It was associated with AD treatment response; particularly the T variant seems to predict better AD response.
  • 51.  CRH Receptors (CRHR1 and CRHR2) Corticotropin releasing hormone (CRH) is a potent mediator of endocrine, autonomic, behavioral, and immune responses to stress.  An association between the rs242941 G/G geno-type and homozygous GAG haplotype of the 3 SNPs (rs1876828, rs242939, and rs242941) and therapeutic response to fluoxetine  Another study did not find associations between some other variants of CRHR1 gene (rs110402; rs242937) and treatment response to citalopram
  • 52.  The GENDEP study identified three SNPs (rs852977, rs10482633 and rs10052957) which may predict response to both ADs used in the study (nortriptyline and escitalopram)
  • 53.  Despite of expectations fuelled by the role of CREB in the pathogenesis of depression, the role of CREB1 variants in AD response was not verified .  Furthermore, two SNPs (rs4675690; rs7569963) were found to have a role in treatment-emergent suicidal ideation in patients with MDD during citalopram treatment, but only in males, suggesting a significant gene x sex interaction
  • 54.  Chronic stress leads to decreased levels of BDNF in the brain, and serum/plasma BDNF levels of patients with mood disorders are decreased.
  • 55.  Results of the GENDEP study have raised the possibility that that there is an association between rs10835210 variation in the BDNF gene and response to escitalopram and a strong association between rs962369 in the BDNF gene and an increase in suicidal ideation during AD treatment (the same study identified some other suicidality related regions in the BDNF gene
  • 56.  According to results of the STAR*D study an SNP (rs1954787) of the GRIK4 gene encoding kainate receptor subunit 1 (KA1; a.k.a. GluK4) was associated with treatment response to citalopram
  • 57.  Despite the impressive potential of pharmacogenetics and the great progress in the understanding of the pathomechanism of MDD and the genetic influence both on emergence of depression and on response to AD treatment, the use of pharmacogenetics in current clinical practice is still very limited,
  • 58.  in part due to inconsistent results and failure to replicate several associations.  Another problematic issue is the complexity and ultifactorial nature of the genetics underlying psychiatric disorders and medication response. Since the therapeutic mechanism of ADs is not well understood, it is difficult for pharmacogenetic researchers to select “candidate” genes.
  • 59.
  • 60.  Since chlorpromazine was first introduced into clinical psychiatry, various kinds of antipsychotics have been developed and used for schizophrenia.  Clinicians, however, still have considerable difficulty in choosing an appropriate antipsychotic for certain patients due to the inter-individual diversities of drug response.
  • 61.  Most antipsychotics are extensively metabolized by cytochrome (CYP) P450s that are members of a super-family of oxidative enzymes and that constitute a major system for the oxida-tive metabolism of therapeutic substances.
  • 62.  The CYP2D6 has been most extensively investigated in the field of psychiatry, since this enzyme is involved in the metabolism of many antipsychotics and has many genetic polymorphisms that influence the function of the enzyme.
  • 63.  There are more than 70 variant alleles at the CYP2D6 gene locus, including the two most common variants, CYP2D6*4 and CYP2D6*45, encoding non-functional products.1 Other variants that reduce activity, alter substrate specificity or increase activity have also been described
  • 64.  Compared with efficient metabolizers (EM), poor metabolizers (PM) show no or reduced CYP2D6 activity bypolymorphisms resulting in potentially increased concentrations of metabolized drugs.
  • 65.  On the other hand, ultra rapid metabolizers (UM) that can be found in 1% of Caucasians often do not reach therapeutic concentrations and require an increased dose. Pronounced ethnic differences in the prevalence of both PM and UM have been reported; e.g., the frequency of PM is 5 to 10% among Caucasians, about 2% in Asians, and 7–8% in Africans.
  • 66.  PMs have higher plasma concentrations of and suffer more adverse effects from antipsychotics. The incidence of the acute side effects of these drugs, including postural hy- potension, excess sedation, or extrapyramidal symptoms, is disproportionately in PMs.  On the other hand, it is not clear whether the development of chronic side effects such as tardive dyskinesia is associated with a reduced metabolizing capacity of CYP2D6.
  • 67.
  • 68.  All receptor and transporter genes for neurotransmitters as well as genes located down- stream of the intracellular signaling pathways can be considered candidate genes for the pharmacodynamics of antipsychotics.  It is difficult to select a good candidate gene, since the true mechanism of therapeutic action of antipsychotics has not been clarified yet.
  • 69.  genetic polymorphisms in serotonin (5-HT) and dopamine (DA) systems have been extensively investigated in the pharmacodynamics of antipsychotics
  • 70.  The first candidate gene examined with regard to clozapine response was the DA4 receptor gene (DRD4) because in addition to its high affinity for clozapine, the DA4 receptor is abundant in the prefrontal cortex, (a brain region thought to be related to the cognitive dysfunction of schizophrenia), and the DRD4 gene itself is highly polymorphic.
  • 71.  Among polymorphisms in the DRD4, the 48 bp variable number of tandem repeats (VNTR) has been the most extensively investigated, since the VNTR was shown an in vitro study to influence the sodium chloride sensitivity of clozapine- binding and inhibition of c-AMP synthesis.
  • 72.  The DA3 receptor, which shares homologies with both the DA4 and DA2 receptors, has generated interest, since the DA3 receptor gene (DRDA3) has a known functional polymorphism,Ser9Gly, that influences dopamine binding. However, the association between the Ser9Gly and clozapine response remains controversial.
  • 73.  The DA2 receptor is a major site of the action of conventional antipsychotics such as chlorpromazine and haloperidol, and of some atypical antipsychotics such as risperidone. One functional polymorphism (-141 Ins/Del) in the promoter region, as well as missense variants including Ser311Cer and an intronic variant (Taq 1 A), have been identified in the DA2 receptor gene (DRD2).
  • 74.  The -141 Ins/Del polymorphism that influences the expression of the DRD2 was reported to be associated with anxiolytic and antidepressive effects during treatment with two conventional antipsychotics,
  • 75.  Although theSer311Cer was shown to influence c- AMP synthesis, it has not been associated with clozapine or with a typical antipsychotic response. The Taq 1A that is located in the intron of DRD2 and has been reported to influence the density of the receptor was shown to have an association with the acute effects of a selective DA2 receptor antagonist, nemonapride, and haloperidol.
  • 76.  The 5-HT receptor genes have been regarded as good candidates for pharmacodynamic stud-ies of antipsychotics, since 5-HT mediated mechanisms seem crucial to atypical antipsychotic drug action, including that of clozapine.
  • 77.  An association between the silent polymorphism 102T/C in the 5-HT2A receptor gene (HTR2A) and clozapine has been reported.  Hys452Tyr12 was shown to influence the intracellular signal transduction of the 5-HT2A receptor, as measured by Ca2+ mobilization induced by 5-HT stimulation.
  • 78.  In addition to the 5-HT2A receptor, other 5-HT receptors, such as 5-HT 2C and 5-HT 6, have also been investigated in psychopharmacognetic studies because atypical antipsychotics also have high affinity for these receptors.  The Ser23 in the 5-HT2C receptor gene influences m- chlorophenylpiperazine (m-CPP), a nonse-lective5-HT2C agonist, binding, in comparison with Cys23. Therefore, the Ser23 may be consti-tutively more active and tends to be more desensitized.
  • 79.  Not just one gene but multiple genes play a role in complex phenotypes, including the clini-cal response to medication. Arranz et al. published the most comprehensive study to date of a pharmacogenetics screening strategy: a combination of 6 out of 19 candidate gene variants (in 5-HT2A, 2C, 5-HT transporter and Histamin 2 receptor genes) predicted response to clozapine with a prediction level of 76.9%
  • 80.  Interindividual Variability in Clozapine Pharmacokinetics and Response: A Focus on Cytochrome P450-1A2 (CYP1A2)-Mediated Enzyme Metabolism
  • 81.
  • 82.  Clinicians almost always initiate antipsychotic drugs in schizophrenia “a priori” . However, this may lead to ineffective treatment, to the use of an additional antipsychotic or multiple antipsychotics, to different adverse effects, and result in increased morbidity and mortality.  This represents a real concern and calls for accurate scientific methods that could be used to predict a reasonable therapeutic response and also drug-induced side effects.
  • 83.  Personalized prescription or “tailoring drugs to a patient’s genetic makeup” would be more than beneficial (de Leon 2009b). In the context of personalized prescription, clinicians need to consider environmental, personal and genetic variables when prescribing any medication. According to de Leon, personalized prescription in the clinical practice may be described as personalized selection of the drug and as personalized dosing
  • 84.  In personalized dosing the knowledge of pharmacodynamic and pharmacokinetic dosing properties should be applied.
  • 85.  At the present, in psychiatry there are five pharmacogenomic tests that are currently available on the market or are ready to be introduced.  However, three of the five tests have not published complete details concerning the genes used in them
  • 86.  CYP 450 Test employs microarray technology for cytochrome P450 (CYP) 2D6 and CYP 2C19 genotyping (de Leon et al. 2009c).  Genomic DNA is extracted from a whole-blood sample to identify 27 alleles in CYP2D6 that are associated with four CYP2D6 phenotypes, and to identify three alleles in CYP2C19 that are associated with two CYP2C19 phenotypes (de Leon et al. 2009c).  The genotypes are then translated with software algorithms into a predicted phenotype, which is indicative of the CYP2D6 and CYP2C19 enzymatic activity.
  • 87.  One company offers a genetic test for the determination of high (1,5%) or low (0,5%) risk of drug-induced agranulocytosis.  The test can make a valuable prediction in the treatment with clozapine, but does not obviate the need for regular monitoring and has not a significant impact on routine practice.
  • 88.  A new system, called PhyzioType System uses an ensemble of DNA markers from several genes to predict an individual’s risk of developing some adverse drug reactions. The clinical applica-bility of this array is still under investigation.  A recent study describes an array containing probes to identify genetic variants for the risk of hyperlipidemia.
  • 89.  PhyzioType System uses  Arranz et al. tried to combine genetic information on the prediction of response to clozapine. The prediction level in British Caucasian patients on long-term treatment was 76%, but the results were not replicated in German cohort.
  • 90.
  • 91.  Category: Atypical antipsychotic; Arilpiperazine  Mechanism: Full agonist: 5-HT1A, 5-HT1B, 5-HT1D, 5- HT6, 5-HT receptors; partial agonist: D2 and 5-HT1A receptors;  antagonist: 5-HT2A receptor  Genes: ABCB1, ADRA1A, CYP2D6, CYP3A4, DRD2, DRD3, HRH1, HTR1A, HTR1B, HTR1D, HTR2A, HTR2C, HTR7  Substrate: CYP2D6 (major), CYP3A4 (major)
  • 92. Clozapine  Category: Atypical antipsychotic; Dibenzodiazepine  Mechanism: Antagonist of histamine H1, cholinergic and α1- adrenergic receptors; antagonist: 5-HT1A, 5-HT2B; full agonist: 5- HT1A, 5-HT1B, 5-HT1D, 5-HT1F; inverse agonist: 5-HT6, 5-HT7  Genes: ABCB1, ADRA1A, ADRA1B, ADRA1D, ADRB3, APOA5, APOC3, APOD, CNR1, CYP1A2, CYP2A6, CYP2C8/9, CYP2C19, CYP2D6, CYP2E1, CYP3A4, DRD1, DRD2, DRD3, DRD4, DTNBP1, FABP1, GNAS1, GNB3, GSK3B, HLAA, HRH1, HRH2, HRH4, HTR1A, HTR1B, HTR1D, HTR1E, HTR1F, HTR2A, HTR2B, HTR2C, HTR3A, HTR6, HTR7, LPL, RGS2, SLC6A2, SLC6A4, TNF, UGT1A3, UGT1A4  Substrate: ABCB1, CYP1A2 (major), CYP2A6 (minor), CYP2C8/9 (minor), CYP2C19 (minor), CYP2D6 (minor), CYP3A4 (major), FMO3, UGT1A3, UGT1A4  Inhibitor: CYP1A2 (weak), CYP2C8/9 (moderate), CYP2C19 (moderate), CYP2D6 (moderate), CYP2E1 (weak), CYP3A4 (weak)