Dr GURSHARAN KALSI [email protected]. LEARNING AIMS Overview of genetics of complex...
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Transcript of Dr GURSHARAN KALSI [email protected]. LEARNING AIMS Overview of genetics of complex...
LEARNING AIMS
Overview of genetics of complex disorders, particularly
addictive disorder
Main pharmacotherapies available for treatment, using
alcohol dependence as example
Genetic variants and their effect on treatment and recovery
Relative efficacy of pharmacotherapies and tailored
treatment for addictions
Pharmacogenomics and addiction
The genetic variation underlying an individual’s
response to drugs
Genetics may affect all aspects of drug
experience, i.e. initiation, motivation, craving,
inability to withdraw and clinical treatment
Nature or nurture
Large twin and family studies were set up in the 50s
Family studies show that children of addicts are 8 times more likely
to develop addiction
In twin studies, the idea is that identical twins share same genes
and family environment whereas non-identical or fraternal twins only
share family environment
In a study looking at 861 pairs of identical twins and 653 fraternal
twins showed that genetic factors contributed 50-60% of the risk of
being alcoholic; other large twin samples showed a similar figures
The effect of genetic and environmental effects across age in 1796 male-male twin pairs
A= caffeineB= cigarettes smokedC= alcoholic drinksD= cannabis
Kendler et al, 2008
Epidemiology
Family, twin and adoption studies support existence of genetic
influences on risk for alcohol dependence (AD) and other drug
dependence
Heritability estimates show 40-60% of liability is due to genetic
factors
Lifetime risk for AD is approx 10-15% for men and 3-5% for women
Age of onset is probably mid-20s to approx 40 yrs of age
The earlier the onset, the greater is the severity and the higher the
probability of a pre-existing independent psychiatric condition
Basics of Genetics
The genome The genome is the hereditary material in an
organism Comprises of the coding and non-coding
sequences Human genome
○ Nuclear genome○ Mitochondrial genome
Size of the human genome is ~ 3 – 3.2Gb and ~20,000 – 25,000 genes
Chromosomes
22 pairs of chromosomes plus sex chromosomes Banding pattern – differences in GC contents
Slide courtesy of Dr Katherine Tansey
The gene
The basic unit of genome is the gene
Gene is the functional unit
Molecular unit of heredity
Double-helical structure
Expression involves transcribing into RNA
Regulatory sequences control the process
Genes can have more than one promoter
microRNAs at 3’ UTR now seen to be important as
epigenetic factors
Structure of the gene
Genetic polymorphisms
Single Nucleotide Polymorphisms (SNPs) A single base-pair has been altered Silent / missense / nonsense
Sequence Repeats (Insertions/deletions) A small segment of DNA (i.e. 2-,3-,4-..1000 base-pairs) is
repeated Variable tandem repeats / micro- / mini-satellites
Positional VariantsChanges > 1000bp inversions / translocations
Types of DNA markers RFLP (Restriction Fragment Length Polymorphism) VNTR (Variable Number Tandem Repeat) SSR (Simple Sequence Repeat) SNP (Single Nucleotide Polymorphism) STR (Short Tandem Repeat)
Single base change at one site along a sequence
cagTcgaor
cagCcga
The possible genotypes for this SNP are TT, TC or CC
Genes and the addiction cycle
• Initiation (impulsivity)• Tolerance• Inability to withdraw• Craving / relapse• Compulsive use• Response to treatment
Genes and drug metabolism
Genetic basis of alcohol metabolism
Alcohol metabolism is catalysed by alcohol dehydrogenase (ADH) and aldehyde dehydrogenase (ALDH)
Metabolism is primarily in the liver
Edenberg et al, 2007
Alcohol dehydrogenase, ADH
Association with variants of ADH and ALDH shown to be the strongest
and most widely replicated
Individuals with certain variants suffer reduced risk of alcohol dependence
Presence or absence of variants influence consumption e.g. ADH1B*2
and ADH1B*3 possess high enzyme activity and rapidly metabolize
alcohol to acetaldehyde; accumulated acetaldehyde produces “flushing”
ADH1B*2 found in higher frequency in East Asians; it acts as a protective
variant
In Jewish populations, variant has moderate frequency and prevents
binge drinking
Aldehyde dehydrogenase, ALDH
ALDH2 is primarily responsible for metabolism of acetaldehyde to acetate
ALDH2 deficiency common in parts of Asia ALDH2*1 encodes the active subunit; ALDH2*2 encodes an
essentially inactive subunit Individuals with one or two copies of ALDH2*2 are
deficient in oxidation of acetaldehyde and suffer from adverse reactions to alcohol, including severe facial flushing, nausea, headache and tachycardia
Disulfiram, acts in similar way; it interferes with ALDH and leads to increased acetaldehyde levels, causing same symptoms
Macgregor et al, 2009
Disulfram for alcohol dependence Treatment is based on aversive therapy and has been
in use for over 60 years Stimulates the toxic affects of acetaldehyde
accumulation Disulfram works through inhibiting alcohol
dehydrogenase Induces flushing, sweating, headaches, nausea and
vomiting Also used to treat cocaine dependence In some individuals, it produces psychosis
Genes and nicotine metabolism Nicotine is broken down by a number of liver enzymes, cytochrome
A6 (CYP2A6) and cytochrome B6 (CYP2B6) CYPA6 variants have been associated with higher adult smoking
cessation rates Individuals with CYPA6*2 variant showed reduced function of the
enzyme and reduced smoking
Chenoweth et al, 2013
Ray et al, 2009
Neurochemical basis of addiction
Neural pathways in addiction
Dopamine Glutamate Opioid GABA Serotonin Cannabinoid CRH/HPA
Spanagel R, 2008.
Dopamine (DA) DRD2: 20 year controversial history
focus on Taq1A RFLP; located in ANKK1 A1 allele produces lower DRD2 receptor density in striatumA1 allele associated with alcohol dependence, heroin use, smoking and
cocaine dependence
DRD4 VNTR shown to be associated with craving for addictive substances
DAT1 cocaine dependence and risk for cocaine-induced paranoia; smoking
behaviours
COMT: variation may impact DA levels in PFC, thus affecting social cognition, affect and reward processes high activity 1947G allele associated with risk for methamphetamine
abuse
10 DA family genes in US/Irish study
5 receptors D1-like: DRD1, DRD5D2-like: DRD2-DRD4
2 transporters Vesicular Monoamine Transporter 2
(VMAT2)Dopamine Active Transporter 1
(DAT1) 3 enzymes
Tyrosine Hydroxylase (TH)Dopa Decarboxylase (DDC)Catechol-O-methyl transferase
(COMT) Kreek et al., 2002
Irish Affected Sib Pair Study of Alcohol Dependence (IASPSAD)
Ethnically and genetically homogeneous sample collected in Ireland
Severely affected individuals; clinical sample 575 independent cases and 530 controls Evaluated by structured SSAGA interview Diagnosed using DSM-IV
Results Six SNPs (single nucleotide polymorphisms)
in 5 genes were associated with alcohol dependence or related trait
2 SNPs were associated with disinhibitory symptom count
1 SNP was associated with general disinhibitory factor score
IONOTROPIC METABOTROPIC
Glutamate receptors
Glutamate receptor genes
Crucial role in withdrawal symptoms Gp 1 mGluRs couple to diverse intracellular
signaling transduction pathways Homer family of proteins regulate cellular
localization and function of group 1 mGluR receptorsHomer knockout mice avoid drinking in large quantitiesDo not increase dopamine and extracellular glutamate
mGluR1 increases NMDA receptor trafficking
Glutamate study in IASPSAD
Genes GRM1, GRIN1A, GRIN2B, GRIK1 tested
on addiction array
Association analysis for alcohol dependence
Haplotype analysis
gene x gene interaction
Haplotype association with alcohol dependence in IASPSAD
G X G INTERACTION in IASPSAD
GENE SNP GENE SNP P-VALUE
GRM1 rs9403765
GRIN2B rs12829455
0.000583
GRM1 rs2268666
GRIN2A rs1071504
0.0003489
GRIN2B rs2193511
GRIN2A rs17208905
0.0001232
GRIN2B rs10845848
GRIK1 rs6516926
0.0007265
Opioid system
Critical to euphoric and compulsive behavior of opiates
May be just as, or perhaps more, critical than dopamine
pathway in modulating reward
Regulated through a family of receptors: µ, δ, κ and non-
opioid FQ receptor
Belong to the larger G-protein coupled receptor family
Interact with DA and GABA systems to reinforce hedonic
effects of heroin
µ (mu) opioid receptor: variants
Primary site of action for opioid peptides
Large scale sequencing identified 43 variants
Results of genetic studies
The functional polymorphism A118G
The most prevalent polymorphism (A to G) Produces amino acid change at a putative N-
glycosylation site : Asparagine (Asn) to Aspartic acid (Asp)
Peptide binding studies show A118G variant do not alter binding affinity to opioid peptides
The variant does bind β-endorphin more tightly than the common allele
Used as an active side for many pharmaceutical treatments for drug dependence
Kalsi et al, 2009
Summary of candidate gene studies 100s of genes encoding for receptors,
neurotransmitters and transporters in several different systems have been tested
Results have been generally inconclusive Sample sizes have been small Most studies test diagnostic criteria rather
than narrower, more specific phenotype Results from drug metabolism genes have
been robust
Neurotransmitters and clinical treatments
Naltrexone
Agonists/antagonists for opioid, GABA, serotonin and DA
systems used as pharmaceutical compounds
Naltrexone is an antagonist for the µ-opioid receptor
It is a commonly used treatment for alcohol dependence
The variant A118G affects treatment response; alcohol
dependent individuals with G allele showed lower
relapse rate, reduced drinking and increased abstinence
Sturgess et al, 2011
Pharmacogenetic studies in alcohol dependence
Methadone
Was synthesized for analgesia and targets the opioid system; is an
agonist for the µ-opioid receptor, just like heroin, but has a longer
half-life
Prevents craving, withdrawal and is designed to block the receptor
The polymorphism A118G influences response
Highly variable individual response, influenced by cytochrome P
genes
Response may also be affected by DRD2 polymorphisms; common
allele of 957C>T (CC genotype) higher in non-responders
Sturgess et al, 2011
Acamprosate
Mostly used to treat alcohol-dependence
Acts as antagonist for NMDA receptors and
agonist for GABA receptors
Helps to ameliorate withdrawal symptoms and
affects processes related to reward
Works best when complemented by CBT
Summary
1. Current treatments have limited efficacy
2. Highly variable individual response
3. Need to have better understanding of
mechanisms and hence treatments
Mechanisms....
Rodd et al, 2007
Wang et al, 2011
And finally...
Genetics has revealed heterogeneity of drug dependence and recovery
There is limited efficacy of most treatments (yes, again probably due to genetics)
A systems approach will help to resolve mechanisms
But there is more...epigenetics could play a role
And the environment...
Useful references
1. Sturgess JE, George TP et al (2011) Pharmacogenetics of alcohol, nicotine and drug addiction treatments. Addiction Biol; 16, 357-376
2. Khokhar JY, Ferguson CS et al (2010) Pharmacogenetics of drug dependence: role of gene variations in susceptibility and treatment. Ann Rev Pharmacol Toxicol; 50, 39-61
3. Agrawal A, Verweij KJH et al (2012) The genetics of addiction – a translational perspective. Transl Psychiatry, July 17
4. Arias AJ and Sewell RA (2012) Pharmacogenetically driven treatments for alcoholism: are we there yet? CNS Drugs; 26(6), 461-476
5. Wang J, Yuan W and Li MD (2011) Genes and pathways co-associated with the exposure to multiple drugs of abuse, including alcohol, amphetamine/methamphetamine, cocaine, marijuana, morphine and/or nicotine: a review of proteomics analyses. Mol Neurobiol; 44, 269-286
6. Kalsi G, Prescott CA et al (2009) Unravelling the molecular mechanisms of alcohol dependence. Trends in Genet; 25(1), 49-55