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Alcoholism: From Genotypes to Genes and Back Again

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Rebecca Ortiz. NIAAA. Robert Karp. Project Consultants. David Goldman, NIAAA. John Crabbe, Oregon Health Sciences. John Rice, Washington Univ, St. Louis ... – PowerPoint PPT presentation

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Title: Alcoholism: From Genotypes to Genes and Back Again


1
Alcoholism From Genotypes to Genes (and Back
Again)
  • Carol A. Prescott, Ph.D.
  • University of Southern California
  • cprescot_at_usc.edu

2
Overview
  • Definitions
  • Epidemiology
  • Consequences
  • Genetic Epidemiology
  • Search for Susceptibility Genes

3
DSM-IV Criteria for Alcohol Dependence
  • 3 or more of the following, lasting gt1 month
  • withdrawal or drinking to avoid withdrawal
  • tolerance
  • inability to quit despite wanting to
  • loss of control once start drinking
  • continued use despite medical consequences
  • drinking interferes with functioning
  • time spent drinking to exclusion of important
    life activities

4
Epidemiology of Alcohol Dependence
  • Lifetime prevalences (among drinkers)
  • Males 8 -12
  • Females 3 - 4
  • 1-yr prevalence in EU (Wittchen Jacobi, 2005)
  • Males 5.6
  • Females 1.3
  • 7.2 Million

5
Consequences of Alcoholism
  • Formal Treatment only 10 of affected
  • Success rate 30
  • Personal Costs
  • Impaired functioning
  • Accidents, Health problems
  • Societal Costs (billions annually)
  • Important comorbidity tobacco, depression (in
    top 10 of DALYs)

6
A Growing Problem
  • Finland 50 of males aged 30-49 binge gt1x/mo
  • (WHO, 1993)
  • Russia 500K deaths annually (Lancet 2006)
  • Poland Sharp increase in alcohol-related
    mortality since mid-1980s (Wojtyniak et al 2005)
  • UK 31 increase in per capita consumption
    between 1980 and 2000 (Hall, 2005)

7
Consequences of Moderate Alcohol Use
  • Personal Benefits
  • - stress reduction
  • - cardioprotection
  • - social lubrication
  • Societal Benefits
  • - tax revenue
  • - employment

8
Genetic Epidemiology
  • Adoption studies
  • Rates of alcoholism higher in adopted offspring
    of alcoholic biological parents than
    non-alcoholic biological parents

9
Risk of alcoholism among adoptees with and
without biological alcoholic parents
Studies of male adoptees Studies of
female adoptees
10
Genetic Epidemiology
  • Adoption studies
  • Rates of alcoholism higher in adopted offspring
    of alcoholic biological parents than
    non-alcoholic biological parents
  • Twin studies
  • Resemblance for alcoholism higher in MZ twin
    pairs than DZ pairs

11
Genetic and environmental proportions of variance
in alcoholism from studies of male twins
12
Genetic and environmental proportions of variance
in alcoholism from studies of female twins
Clinical sample cotwin followup
Volunteer registry personal interview
Population registry archival diagnosis
13
Alcoholism A Complicated Complex Disorder
  • Important behavioral component
  • Cultural influences
  • Common (phenocopies)
  • Benefits of moderate use
  • Clinical heterogeneity
  • Etiological heterogeneity
  • Specific vs general risk

14
Estimated Common and Specific Genetic Variance
for Psychiatric and Substance Use
Disorders(Males and Females Combined)
A1
A2
28
2
11
lt1
1
34
3
42
5
31
1
14
29
6
Generalized Anxiety
Phobia
Alcohol Dependence
Drug Abuse/ Dependence
Adult Antisocial Behavior
Major Depression
Conduct Disorder
0
0
5
14
3
0
21
As
As
As
As
As
As
As
Kendler, Prescott, Myers Neale, Arch Gen
Psychiatry, 60 929-937, 2003
15
Alcoholism A Complicated Complex Disorder
  • Important behavioral component
  • Cultural influences
  • Common (phenocopies)
  • Benefits of moderate use
  • Clinical heterogeneity
  • Etiological heterogeneity
  • Specific vs general risk
  • Different influences for different stages of
    alcohol involvement

16
Stages of alcohol involvement
17
Genetic influences on stages of alcohol
involvement
18
Irish Affected Sib-Pair Study of Alcohol
Dependence (IASPSAD)
  • Background Design
  • Results
  • Genome Scan
  • Psychometric Follow-up
  • Molecular Follow-up

19
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20
Collaborators
  • Irish Collaborators
  • Dermot Walsh Irish Health Research Board,
    Dublin
  • Diana Patterson Shaftsbury Square Hospital,
    Belfast
  • Study Design / Data Collection
  • Kenneth Kendler
  • Patrick Sullivan
  • Molecular Genetics
  • Brien Riley
  • Gursharan Kalsi
  • Jeff Alexander
  • Jen Vittum
  • Statistical Analysis
  • Po-Hsiu Kuo
  • Edwin van den Oord
  • Michael Neale
  • Todd Webb
  • John Myers

21
Other Acknowledgments
  • Project Support
  • Irish Health Research Board
  • Ros Moran
  • Carol Cronin
  • Queens Hospital, Belfast
  • F. Anthony ONeill
  • Virginia Commonwealth Univ.
  • Stacey Garnett
  • Jill Opalesky
  • Indrani Ray
  • Cheryl Smith
  • Rebecca Ortiz
  • NIAAA
  • Robert Karp
  • Project Consultants
  • David Goldman, NIAAA
  • John Crabbe, Oregon Health Sciences
  • Project Management
  • Lisa Halberstadt, U.S.
  • Margaret Devitt, Dublin
  • Victor Robinson, Belfast
  • Interviewers
  • Craig Barton, John Cosgrove, Michael Crossan,
    Sara Dineen, Phil Gavigan, Claire Killeen,
    Deirdre King, Siobhan McHugh, Amanda Mullan,
    Eileen Murphy, Brian O'Malley, Bernie Purcell
  • Blood collection genotyping
  • Irish Blood Transfusion Service, Dublin
  • Northern Ireland Blood Transfusion Service,
    Belfast
  • Irish Gardai, Dublin
  • deCODE Genetics, Iceland
  • Funding
  • NIAAA R01-AA-11408

22
IASPSAD Study Design
Probands ascertained Interview
DNA N591 (M364, F227)
Affected siblings referred Interview
DNA N610 (M413, F197)
733 sib pairs (sibship size 2-8)
Parents contacted Brief Interview
DNA N213 (M82, F131)
Control Groups Fully Screened n
72 Self-Screened n 800
Prescott et al., Alc Clin Exp Res, 2005
23
Study Inclusionary Criteria
  • DSM-IV Alcohol Dependence
  • gt1 affected siblings
  • All four grandparents born in Ireland or UK
    (England, Scotland or Wales)

24
Proband Sibling Assessment
  • DSM-IV Alcohol Dependence
  • Semi-Structured Assessment of the Genetics of
    Alcoholism (SSAGA, Bucholz et al., 1989)
  • Treatment records
  • Other Clinical Measures
  • Nicotine Dependence
  • Other substance use, abuse dependence
  • Antisocial personality disorder
  • Major depression
  • Drinking expectancies
  • Subjective response (SRE, Schuckit et al. 1997)
  • Family history of alcoholism
  • DNA
  • Blood 85, Buccal cell 15

25
Measurement Issues
  • Clinical Diagnosis
  • Validity (convergent)
  • Clinical characteristics
  • Reliability (inter-rater)
  • Sibling reports
  • Genotyping
  • Genotyping error (0.3 in 17 repeat Ss)
  • Population substructure

26
Distribution of DSM-IV Alcohol Dependence
criteria in IASPSAD probands and siblings
27
Genotyping and Data Analysis
  • 4 cM autosomal genome scan (deCODE, 1081 markers)
  • 474 families informative for linkage
  • 700 sib pairs (all possible pairs)
  • Outcomes
  • AD DSM-IV Alcohol dependence
  • SX DSM-IV AD symptom count (range 3-7)
  • Linkage analysis
  • NPL - Merlin (Abecasis et al., 2003)
  • empirical p-values by bootstrapping

28
Genome-wide scan results for DSM-IV Alcohol
Dependence
29
Suggestive Linkage Regions for Alcohol Dependence
(NP LOD gt1.0)
Dick et al. 2002 (alc factor) Bergen et al.
2003 (max drinks)
Bergen et al. 2003 (max drinks)
30
Genome-wide Scan results for DSM-IV Alcohol
Dependence and AD Symptoms
CH4
Prescott, Sullivan, Webb, Vittum, Patterson,
Thiselton, Devitt, Halberstadt, Robinson,
Neale, van den Oord, Walsh, Riley Kendler,
Molecular Psychiatry, 2006
31
IASPSAD Chromosome 4 Linkage Results
Peak LOD 4.59 (plt.000002)
32
Chromosome 4 Linkage to AD Symptoms
SW American Indians AD - Long et al.
1998 COGA (US multiplex families) symptoms
- Reich et al. 1998 max drinks - Saccone et
al. 2000 alc response - Schuckit et al. 2001
severity - Corbett et al. 2005 Mission American
Indians severity - Ehlers et al. 2004
33
Follow-Up Work
  • Psychometric
  • Where is the AD - SX difference coming from?
  • What else can we learn from linkage studies?

34
IASPSAD Chromosome 4 Linkage Results
Peak LOD 4.59 (plt.000002)
35
Comparing the Alcohol Dependence (AD) andSymptom
Count (SX) Linkage Evidence
36
Symptom Dropping Analyses NPL LOD Scores for AD
Symptom count and Symptom count - Withdrawal
37
NPL LOD Scores for Symptom Dropping Analyses
ADSX
medical consequences lack of control restricted
activities withdrawal failed to
quit binging tolerance
38
Linkage Analysis Strategies
  • Bivariate models Alcohol dependence with
    comorbid disorders

39
Ch 7 linkage to alcohol dependence and major
depression from COGA study
Wang et al, Human Molec Genet 2004
40
Bivariate linkage results for Nicotine Dependence
and Alcohol Dependence in IASPSAD
Sullivan et al, under review
41
Linkage Analysis Strategies
  • Bivariate models Alcohol dependence with
    comorbid disorders
  • Components of alcohol dependence
  • Tolerance
  • Withdrawal
  • Initial Sensitivity

42
Ch 1 Linkage Results for Ethanol Sensitivity and
Tolerance In IASPSAD
Kuo et al, under review
43
Linkage Study Conclusions
  • Strong evidence for linkage of AD symptom count
    to chromosome 4
  • Replicates findings from 3 independent samples
  • Psychometric follow-up implicates tolerance
    binge drinking
  • Bivariate and component analyses suggest
    additional regions (and complex mechanisms)

44
Follow-Up Work
  • Psychometric
  • Molecular
  • Which genes?

45
Association Study Strategy
  • Multi-stage design -- minimize False Discovery
    Rate (van den Oord et al., 2003)
  • Stage 1 Screening all candidate genes with
    case-control analyses
  • select sample size adequate to detect genes with
    10 effect size at plt.10 N310 in each group
  • Stage 2 Internal replication candidates which
    pass Stage 1 tested using remaining sample
    (Ngt800)
  • Stage 3 Replication in independent sample

46
IASPSAD Chromosome 4 Linkage Results
ADH cluster (1a,1b,1c,4,5,6,7)
47
Role of ADH in ethanol metabolism
alcohol dehydrogenase (ADH) ADH1B ADH1C
aldehyde dehydrogenase (ALDH) ALDH2
48
Association Studies of Alcohol Dehydrogenase
(ADH)
  • 27 SNP markers identified in 7 ADH genes
  • Unrelated Case-Control association design
  • Stage 1
  • 328 cases (probands affected siblings)
  • 328 screened population controls
  • Stage 2 underway
  • Single-marker analyses
  • Two markers significant (plt.01, plt.06)
  • Haplotype analyses

49
Block structure of ADH genes in IASPSAD sample
5 4
6 1a 1b
1c 7
from Haploview program
50
Haplotype association results block 4 ADH7
CA haplotype is protective for Alcohol
Dependence OR 1.20
51
Association Work in Progress
  • Ch 4 follow-up
  • Additional markers within ADH-7
  • 300 SNPs within Ch4 linkage region
  • GWA using pooled samples
  • Functional candidates
  • 133 alcoholism-susceptibility genes (1536 SNP)
  • GABA cluster on Ch 5 (Kalsi et al., 2005)
  • Candidates from animal models (mouse, C elegans,
    drosophila)

52
Hangover gene
  • hangover involved in the development of alcohol
    tolerance in drosophila (Scholz et al Nature
    2005)
  • Human ortholog ZNF699 (Ch19)
  • 1061 cases, 609 controls from IASPSAD
  • 7 SNPs by FP-TDI

53
ZNF699 association with Alcohol Dependence(Riley
et al. submitted)
  • 4 of 7 SNPs associated
  • Single marker plt.001
  • Haplotype plt.00008 OR 2.2
  • Expression studies in postmortem brain (n34)
  • Individuals with risk haplotype mRNA expression
    significantly reduced (plt.02) in dorso-lateral
    prefrontal cortex
  • Possible mechanism
  • Down-regulation of transcriptional repressor
    facilitates neural changes in response to ethanol
    exposure

54
Conclusions
  • Replicated susceptibility loci for alcohol
    dependence
  • Distinct genes underlie different aspects of
    dependence, including tolerance, sensitivity and
    withdrawal
  • Results from clinical studies, animal models and
    genetic epidemiology continue to guide the search
    for susceptibility loci

55
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