what twin studies teach us about the causes of alcoholism
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What twin studies teach us about the causes of alcoholism. Carol A. Prescott, Ph.D. Virginia Institute for Psychiatric and Behavioral Genetics Department of Psychiatry Virginia Commonwealth University. Conceptual Models heterogeneity, sex differences Statistical Models - PowerPoint PPT PresentationTRANSCRIPT
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What twin studies teach usabout the causes of alcoholism
Carol A. Prescott, Ph.D.
Virginia Institute for Psychiatric and Behavioral GeneticsDepartment of Psychiatry
Virginia Commonwealth University
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Contributions of Washington University to the study of complex diseases
Conceptual Modelsheterogeneity, sex differences
Statistical Modelsfamilies, adoptees, twins, pedigrees
ToolsStructured interviews, reliable diagnostic criteria
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Why continue to study twins?
• Genetic influence on alcoholism already established
• Animal models offer experimental control; ability to study effects of particular loci
• Human molecular genetic research in progress– Candidate genes– Genome-wide scans
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GeneticFactors
Risk for alcoholism?
How do genes influence risk for alcoholism?
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How do genes influence risk for alcoholism?many paths at many levels
GeneticFactors
Risk foralcoholism
Physiology - metabolism, organ sensitivity, “flushing”
Psychopharmacology - rewarding & aversive effects
Personality - sensation seeking, extroversion
Psychopathology - depressionanxiety, antisocial personality
Impulsivity, behavioral undercontrol
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Beyond Heritability
• Twin Studies teach us:
Biological boundaries between disorders
Confirmation or refutation of subtypes
Gene – environment interactions
Basis for sex differences
Nature of risk factors
Mechanisms of genetic transmission
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Talk OverviewWhat twin studies teach us about:
I. Alternative definitions of alcoholism
II. Sex differences in genetic influences on alcoholism
III. Nature of risk factors
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Part I.
Alternative definitions of alcoholism
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Part I. Alternative definitions
• Goal: Develop a biologically relevant definition of alcoholism
• Method: Estimate heritabilities for alternative definitions and subgroups
• Examples from two twin studies
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G EC
Risk forAlcoholism
Sources of variation estimated in twin studies
G = additive geneticC = common environment (shared by twins in a pair)E = individual-specific environment (not shared)
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G EC
Twin 1Alcoholism
E
Twin 2Alcoholism
Sources of similarity and differencesin Monozygotic (MZ) twin pairs
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G EC
Twin 1Alcoholism
E
Twin 2Alcoholism
Monozygotic (MZ) twin pairs
Dizygotic (DZ) twin pairs
G EC
Twin 1Alcoholism
E
Twin 2Alcoholism
G G
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Study 1:Washington University Twin Study
• Gottesman, Carey, Vogler, NIMH– With support from PROFESSORS GUZE & REICH
• Twins admitted to inpatient and outpatient psychiatric units and substance abuse treatment facilities in St. Louis area from 1981-1986
• “Best Estimate” diagnoses based on structured psychiatric interview, personality assessment & medical records
• Multiple diagnoses, comorbidity patterns
• 295 twin pairs
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Washington University Twin StudyAlcohol Sample Characteristics
(Caldwell & Gottesman, 1991)
154 pairs in which the proband had an alcohol diagnosis
Age: 15-74 years (mean=34.7, sd=12.1)
Ethnicity: 68% Caucasian, 32% African-American
(45 MZ, 50 DZS, 59 DZO)
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Twin pair resemblance for Alcohol Abuse/Dependence in the Washington University
Twin Alcoholism Sample
0
0.2
0.4
0.6
0.8
1
Male Female
MZDZ
Male MZ > DZ (p<.05)Values are tetrachoric correlations
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Proportions of Variance for Alcohol Abuse/Dependence In the Washington
University Twin Sample
0
0.2
0.4
0.6
0.8
1
Males Females
GeneticCommon Env
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Proportions of Variance for Alcohol Abuse/Dependence by Gender and Ethnicity
0
0.2
0.4
0.6
0.8
1
Males Females Males Females
Genetic
Common Env
All Subjects Caucasians
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Proportions of Variance for Alcohol Abuse/Dependence by Comorbidity Subgroup
0
0.2
0.4
0.6
0.8
1
Antisocial Anx/Affect Other
GeneticCommon Env
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• Results are tentative but intriguing
• Lower heritability of ASP type not expected; perhaps a sampling effect
• Little twin research on ethnic variation in alcoholism – group differences probably more due to environmental than genetic differences
Study 1: Conclusions
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Study 2:
Alcoholism subtypes in the Virginia Adult Twin Study of Psychiatric
& Substance Use Disorders
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Design & Sample
• Kendler, Eaves, Neale, Heath & Kessler, 1985NIMH, NIAAA, NIDA
• Twins identified from Virginia birth records
• Caucasian, born 1933-1975
• > 9,000 individuals, >4100 pairs
• Structured psychiatric interviews
• Up to 4 interviews: 1987 - 2004
(Kendler et al., 1992, Prescott & Kendler, 1999)
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Alcoholism shares genetic overlap with both internalizing and externalizing disorders
Ginternalizing
disorders
Depression Drug AbuseAlcoholism
SpecificGenes
Gexternalizing
disorders
EatingDisorders
Antisocial Behavior
AnxietyDisorders
SpecificGenes
SpecificGenes
SpecificGenes
SpecificGenes
SpecificGenes
e.g., Kendler, Prescott, Myers & Neale (2003) Arch Gen Psychiatry 60:929-37
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Study Goal: Estimate heritability for alcoholism subtypes
• Guided by Cloninger et al. Type I / II and Babor A/B classifications
• Dimensional approach – how closely a twin matches a subtype
• Based on features of alcoholism, personality traits, comorbid diagnoses, drinking motivations
• Drinking twin pairs (570 MZM, 481 DZM, 277 MZF, 222 DZF, 946 DZO)
• Prescott, Aggen & Kendler, in preparation
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Creation of subtype scores
Type I Type II
Alcoholism features
Onset>25, binge drinking, loss of control
Onset <25, inability to abstain, fights/arrests
Personality Neuroticism (+), Novelty seeking (-)
Novelty seeking (+)
Comorbidity Major depression, Anxiety disorders
Conduct disorder, Antisocial personality
Drinking motives
social anxiety, manage mood
social interaction, mental clarity
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Proportions of variance for alcoholism subtypes
0
0.2
0.4
0.6
0.8
1
Type I Type II Type I Type II
Genetic
Common Env
MALES FEMALES
R (TI,TII) = .25
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• Likely to be etiologic heterogeneity based on clinical features and comorbidity
• Significant genetic contributions to both subtypes; perhaps stronger for Type II, but not overwhelming
Study 2: Conclusions
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Part II.
Sex Differences in Genetic Influences on Alcoholism
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• Is alcoholism less heritable in women?
• Do the same set of genes contribute to alcoholism in men and women?
• Is alcoholism in men genetically related to depression in women?
Part II. Sex Differences
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• VATSPSUD sample (MZF=683, DZF=474, MZM=863, DZM=654, DZO=1423)
• Two kinds of sex differences:– Magnitude of genetic effect: Compare male
and female estimates– Sources of genetic effect: Compare
similarity for alcoholism among DZ same-sex and DZ opposite-sex pairs
Study 3: Sex differences in genetic contributions to alcoholism
Prescott, Aggen & Kendler (1999) Alcoholism: Clin Exp Research 23:1136-1144
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Proportions of variance for alternative definitions of alcoholism
0
0.2
0.4
0.6
0.8
1
AD AAD Multthr
#ADCrit
AD AAD Multthr
#ADCrit
Genetic
Common Env
MALES FEMALES
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Genetic & environmental proportions of variance in alcoholism estimated from studies of male twins
0
20
40
60
80
100K
aij
60
Pic
ke
ns
91
Mc
Gu
e 9
1
Ca
ldw
ell
91
Ro
ma
no
v 9
1
All
gu
lan
de
r 9
1
Hru
be
c 8
1
Re
ed
96
Ke
nd
ler
97
Tru
e 9
6
He
ath
97
Pre
sc
ott
99
%
genetic common env
Clinical samplecotwin followup
Population registryarchival diagnosis
Volunteer registrypersonal interview
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Genetic & environmental proportions of variance in alcoholism estimated from studies of female twins
0
20
40
60
80
100P
icke
ns
91
McG
ue
92
Cal
dw
ell
91
Ko
sken
vuo
84
All
gu
lan
der
91
Ken
dle
r 92
Hea
th 9
7
%
genetic common env
Clinical samplecotwin followup
Population registryarchival diagnosis
Volunteer registrypersonal interview
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Opposite Sex DZ pairs
G EC
MaleAlcoholism
E
FemaleAlcoholism
G G
Same-Sex DZ pairs
G EC
Twin 1Alcoholism
E
Twin 2Alcoholism
G G
50%100%
? ?
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Twin-pair similarity for alcoholism is lower in opposite-sex twin pairs than same-sex DZ pairs
0
0.2
0.4
0.6
0.8
1
Male Female Opp-Sex
MZ
DZ
polychoric correlations for DSM-IV alcohol dependence
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Estimated genetic overlap for alcoholism in men and women
is significantly lower than 100%
0
0.2
0.4
0.6
0.8
1
DSM-IV AD DSM-IV AAD MultipleThreshold
# AD criteria
Bars show 95% confidence boundary
Prescott, Aggen & Kendler (1999) Alcoholism: Clin Exp Research 23:1136-1144
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• Genetic contributions to alcoholism are of similar magnitude in men and women.
• Lower heritabilities for women in prior studies may be due to sampling differences
• Genetic factors which contribute to alcoholism are only partially overlapping in men and women (cf. Heath et al., 1997)
• Awaits replication: few studies have included adequate numbers of opposite-sex twin pairs
Study 3 Conclusions
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• What is the basis for the alcoholism-depression overlap?
• Is alcoholism in men genetically related to depression in women?
Study 4: Sex Differences and Alcoholism-Depression Comorbidity
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Study Rationale
• Male:female ratio is ~2:1 for alcoholism and 0.5:1 for depression
• Alcoholism & depression co-occur within individuals, and run together in families
• Depression spectrum hypothesis: alcoholism in men and depression in women are alternative manifestations of the same genetic vulnerability (e.g., Winokur & Coryell, 1991)
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Genetic predisposition
Male Depression
Male Alcoholism
Female Depression
Female Alcoholism
Depression-spectrum hypothesis: Alcoholism and depression have the same genetic
basis in men and women
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Study Method
• VATSPSUD sample
• Tested 5 alternative models
• Each makes different predictions about the alcoholism-depression correlation for males, females and twin pairs of each zygosity type
• from Prescott, Aggen & Kendler (2000) Archives of General Psychiatry 57:803-811
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DepressionAlcoholism
G
Estimated genetic and environmental contributions to alcoholism-depression comorbidity
Total overlap = .31
C E
MALES
.17 .01 .13
DepressionAlcoholism
G
Total overlap = .37
C E
FEMALES
.19 .00 .18
Standard error =.05
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MaleAlcoholism
GMaleALC
MaleDepression
Null Model: No genetic overlap between alcoholism & depression
GMaleDEP
FemaleAlcoholism
FemaleDepression
GFemale
ALC
GFemale
Dep
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MaleAlcoholism
GMaleALC
MaleDepression
Null Model: No genetic overlap between alcoholism & depression -- REJECTED
GMaleDEP
FemaleAlcoholism
FemaleDepression
GFemale
ALC
GFemale
Dep
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MaleAlcoholism
GMaleALC
MaleDepression
Model 1: Alcoholism leads to depression
GMaleDEP
FemaleAlcoholism
FemaleDepression
GFemale
ALC
GFemale
Dep
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MaleAlcoholism
GMaleALC
MaleDepression
Model 1: Alcoholism leads to depression -- REJECTED
GMaleDEP
FemaleAlcoholism
FemaleDepression
GFemale
ALC
GFemale
Dep
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MaleAlcoholism
GMaleALC
MaleDepression
Model 2: Depression leads to alcoholism
GMaleDEP
FemaleAlcoholism
FemaleDepression
GFemale
ALC
GFemale
Dep
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MaleAlcoholism
GMaleALC
MaleDepression
Model 2: Depression leads to alcoholism -- REJECTED
GMaleDEP
FemaleAlcoholism
FemaleDepression
GFemale
ALC
GFemale
Dep
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MaleAlcoholism
GMaleALC
MaleDepression
Model 3: Depression and alcoholism are the same thing genetically
GMaleDEP
FemaleAlcoholism
FemaleDepression
GFemale
ALC
GFemale
Dep
R=1.0 R=1.0
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MaleAlcoholism
GMaleALC
MaleDepression
Model 3: Depression and alcoholism are the same thing genetically -- REJECTED
GMaleDEP
FemaleAlcoholism
FemaleDepression
GFemale
ALC
GFemale
Dep
R=1.0 R=1.0
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MaleAlcoholism
GMaleALC
MaleDepression
Model 4: Depression Spectrum Hypothesis
GMaleDEP
FemaleAlcoholism
FemaleDepression
GFemale
ALC
GFemale
Dep
R=1.0
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MaleAlcoholism
GMaleALC
MaleDepression
Model 4: Depression Spectrum Hypothesis -- REJECTED
GMaleDEP
FemaleAlcoholism
FemaleDepression
GFemale
ALC
GFemale
Dep
R=1.0
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MaleAlcoholism
GMale
Alcoholism
MaleDepression
Result: Alcoholism and Depression are genetically correlated within, but not across sexes
GMale
Depression
FemaleAlcoholism
FemaleDepression
GFemale
Alcoholism
GFemale
Depression
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• Alcoholism-depression comorbidity is attributable to both genetic and individual-specific environment
• Alcoholism and depression run in families because of genetic overlap, not environmental
• Alcoholism in men does not arise from the same genetic predisposition as depression in women
Study 4: Conclusions
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Part III.
Evaluating Risk Factors for Alcoholism
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Part III. Risk Factors
Many factors are associated with increased risk for alcoholism
Are they causal?
Twin data applied to two examples:– Loss of a parent during childhood– Early age at first drink
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Part III. Method
• Evidence for association between risk factor and alcoholism
• Alternative hypotheses
• Data from VATSPSUD used to evaluate competing models
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Study 5:
How does loss of a parent during childhood increase risk
for alcoholism during adulthood?
Kendler, Neale, Prescott, Kessler, Heath, Corey & Eaves (1996) Psychological Medicine, 26:79-95
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Alternative explanations for an association between parental loss during childhood and
alcoholism during adulthood
AlcoholismLoss of Parent
Family stress,economic
disadvantage, etc
Causal hypothesis:
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Alternative explanations for an association between parental loss during childhood and
alcoholism during adulthood
AlcoholismLoss of Parent
Family stress,economic
disadvantage, etc
Both twins experience loss, predicted pair similarityfor alcoholism: RMZ = RDZ
Causal hypothesis:
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Alternative explanations for an association between parental loss during childhood and
alcoholism during adulthood
Parentgenes
AlcoholismParental loss
Offspringgenes
Correlated hypothesis:
ParentAlcoholism
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Alternative explanations for an association between parental loss during childhood and
alcoholism during adulthood
Parentgenes
AlcoholismParental loss
Offspringgenes
Correlated hypothesis:
ParentAlcoholism
MZ and DZ pairs differ in degree to which theyInherit parent’s predisposition to alcoholism;Predicted pair similarity for alcoholism: RMZ > RDZ
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Method
• Data on alcoholism from female twins and their parents
• 17.5% of twins experienced loss of parent before age 17
• Loss due to death (6.1%) or divorce (12.1%)
• Analysis used structural models for twins and parents, using parental loss as a measured component of family environment
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Results
Both models were supported
Parentgenes
Alcoholism Parental loss
Offspringgenes
Alcoholism28%
6%
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Study 5: Conclusion
The association between parental loss and alcoholism occurs because of both the environmental effects of parental loss and the genetic transmission of alcoholism risk
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Study 6:
Does early drinking increase risk for alcoholism?
Prescott & Kendler (1999) Alcohol Clin Exp Res 23:101-107
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Lifetime prevalence of DSM-IV alcohol abuse/dependence by age at first drink
0
10
20
30
40
50
60
70
80
<12 12-13 14 15 16 17 18 19-20 21 22-24 25+
Male
Female
N= 8,746 adult twins
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Causal explanation for the association between early drinking and risk for alcoholism
AlcoholismEarly
drinking
Developmentaldisruption,
deviant socialization
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Causal explanation for the association between early drinking and risk for alcoholism
AlcoholismEarly
drinking
Developmentaldisruption,
deviant socialization
Implication: Delaying drinking will reduce risk for alcoholism
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Causal explanation for the association between early drinking and risk for alcoholism
AlcoholismEarly
drinking
Developmentaldisruption,
deviant socialization
Implication: Delaying drinking will reduce risk for alcoholism
Prediction: Twin 1 early drinking increases Twin 1 risk Twin 1 early drinking not directly associated with Twin 2 risk
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Common cause explanation for the association between early drinking and risk for alcoholism
Genetic predisposition
Adult alcoholism
Earlydrinking
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Common cause explanation for the association between early drinking and risk for alcoholism
Genetic predisposition
Adult alcoholism
Earlydrinking
Implication: Delaying first drink may not reduce risk for alcoholism
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Common cause explanation for the association between early drinking and risk for alcoholism
Genetic predisposition
Adult alcoholism
Earlydrinking
Implication: Delaying first drink may not reduce risk for alcoholism
Predictions: Twin 1 early drinking associated with higher risk for Twin 1 and Twin 2
Correlation of Twin 1 drinking and Twin 2 risk will be higher in MZ pairs than DZ pairs
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Genetic predisposition
MZ Twin 1Alcoholism
MZ Twin 1Early drinking
Prediction based on Common Cause Explanation: Twin 1 early drinking increases Twin 1 risk and Twin 2 risk
Twin 2’s risk will be higher in MZ pairs than DZ pairs
MZ Twin 2Alcoholism
MZ Twin 2Early drinking
DZ Twin 1Alcoholism
DZ Twin 1Early drinking
Genetic predisposition
DZ Twin 2Alcoholism
DZ Twin 2Early drinking
Genetic predisposition
RDZ = 0.5
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Statistical Analysis
• Bivariate structural models for twin pairs
• Discrete time survival models of onset-diagnosis relation, using cotwin drinking age as a covariate
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Cumulative distribution of drinking onset by diagnosis of affected twin and unaffected cotwins
0
20
40
60
80
100
10 1112
13 14 15 16 17 18 19-20
21 22-23
24+
Age at first drink
% ADAAUnaff MZ CoUnaff DZ CoBoth Unaff
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AlcoholismAge at
First drink
G
Results are consistent with the common cause model
Estimated proportion of risk for alcoholismwhich overlaps with early drinking
C E
MALES = 23%
<1%
Based on DSM-IV Alcohol Abuse/Dependence;Standard error for genetic estimates <5%
23%
G C E
AlcoholismAge at
First drink
G C E
FEMALES = 39%
<1%38%
G C E
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Study 6: Conclusions
• Age at first drink is an index of genetic risk for alcoholism
• Delaying first drink may not reduce risk for alcoholism
• Other targets for intervention may be more effective
• BUT: Delaying adolescent drinking may have other benefits!
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Final Summary: What twin studies teach us about the etiology of alcoholism
• Biologically-relevant definitions of alcoholism– Refining the phenotype for molecular genetic studies
• Clarify specificity or generality of genetic influence– Subtypes may be etiologically distinct– Basis for comorbidity is complex
• Sources for sex differences– Alcoholism is not less genetic in women, but is different
• Evaluating risk factors– Don’t rush to causal interpretations
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Other things twin studies can teach us about the etiology of alcoholism
• Moderation: Gene-Environment Interactions
• Mediation: How genetic variation is translated into alcoholism risk
• Genetic contributions to development: continuity and change
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Collaborators & Colleagues
• VCUKen KendlerLindon EavesMike NealeSteve AggenJonathan Kuhn
Kristen JacobsonChuck GardnerLinda Corey
• ElsewhereIrv GottesmanJack McArdleAndrew HeathKen SherRebecca CrossJohn HornRon KesslerConnie CaldwellGeorge VoglerGreg CareyLenn Murrelle
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VATSPSUD
Project Managers – Sarah Woltz, Frank Butera, Lisa Halberstadt, Barbara Brooke, Patsy Waring
Data Quality – Katharine Gagarin, Karen Hough, Justine Jones,
Paige McCleary, Beth Patton, Karen Petersen, Toni Phillips
Database Management – Indrani Ray
Data Entry – Cheryl Smith
Administrative support – Stacey Garnett, Lou Hopkins, Becky Gander
60+ Interviewers
9000+ TWINS