the gene c heritability of social and poli cal traits
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TheGene'cHeritabilityofSocialand Poli'calTraits:Introduc'ontoTwinStudies LeviLi=vay ResearchandMethodsSymposiumWSU January28,2010 WhatistheCentral


  1. The
Gene'c
Heritability
of
Social
and
 Poli'cal
Traits:
Introduc'on
to
Twin
Studies
 Levi
Li=vay
 Research
and
Methods
Symposium
–
WSU
 January
28,
2010


  2. What
is
the
Central
 European
University?
 • In
Budapest,
Hungary
(since
1991)
 • US
(and
now
also
EU)
accredita'on
 • Working
language:
English
(strictly)
 • Only
social
sciences
 • Only
grad
school
(MA,
PhD,
LLM)
 • One
year
MA
in
Poli'cal
Science
 • Diverse
Student
Body
 • Big
fat
endowment
by
George
Soros
 
(read:
Lots
of
Scholarships)
 • Send
us
good
students!


  3. Step
#1:
AdmiYng
You
Have
a
Problem
 Predic'ng
 turnout
 What
do
we
 see
here?
 (beyond
chaos?)
 33
Independent
 Variables
 R 2 
=
0.32
 Plutzer
(APSR
2002


  4. Two
Dogmas
of
Poli'cal
Science
 • Behaviorist
Approach
 – Because
internal
mental
processes
and
personal
 preferences
cannot
be
observed,
we
will
focus
 our
inquiry
on
observed
behaviors
and
revealed
 preferences.
 • Ra'onal
Choice
Theory
 – Human
behavior
is
best
explained
by
assuming
 that
individuals
are
ra'onally
trying
to
maximize
 their
individual
u'lity.
 This
Slide
and
the
Previous
Slide
“Stolen”
from
Darren
Schreiber


  5. Model
of
Individual
Behavior:
Ra'onal
 U'lity
Maximiza'on
 • Maximiza'on:
we
want
MORE!
(preferences)

 • Expected
behavior
can
be
modeled.
 • What
Is
U'lity?
 • 












Hard









vs.









Sod

 



















Ra'onal
Choice


  6. 2002
Nobel
Prize
Winners:
For
Work
in
 Experimental
Economics
 Daniel
Kahneman
 Vernon
Smith


  7. Solu'ons:
“as
if”
 • People
might
not
act
ra'onally
but…
 
Models
work
in
the
aggregate
“as
if…
 • Not
interested
in
“as
if”
aggregate
models


  8. Solu'on:
“U'lity
Is
Not
Money”
 
Pres'ge

Friendship

Being
Nice
Love

Sex

 Power

Goods

Services

Fairness
Happiness

 Gold

Jewelry

Shopping

Accomplishment

 Family

Health

Food

Clothes

Pets

Kids

 Pizza

Beer

Wine
Some'mes
This




 Some'mes
That

Alcohol

Coca~Cola

Music

 Yeah

etc.
 TAUTOLOGY



  9. Search
for
preferences
 • Need
a
new
theory
to
understand
and
 predict
preference
structures.
 

 
 



or
 • Need
a
new
theory
of
behavior.
 • Unselfish
Behavior
(Altruism)
Literature:
 – Evolu'onary
Explana'ons


  10. APSR:
May
2005
Cover
Ar'cle
 
“…gene'cs
play
an
 important 
role
in
shaping
 poli*cal
a-tudes
and
 ideologies 
but
a
more
 modest 
role
in
forming
 party
 iden*fica*on …”


  11. Twin Data • Most informative family data is twin data • Two types of Twins – Monozygotic (MZ) – Dizygotic (DZ) • Four Sources of Information – MZ Twins reared Together – DZ Twins reared Together – MZ Twins reared Apart – DZ Twins reared Apart (Latter two are almost non-existent today)

  12. Monozygotic Twins • Look identical • From same egg • Share 100% of their genes. • Natural clones • Reared together they share some environment • Same age

  13. Dizygotic Twins • Share 50% of their genes on average • Don’t necessarily look exactly the same • Reared together they share some environment • Same age (otherwise just like other siblings)

  14. Analytical Approaches • Correlations (pre-1970) but good heuristic • Correlate the scores of co-twins across families separately for MZs and DZs. (rMZ and rDZ) • What to look for: – if rMZ > rDZ (MZ twins are more similar to each other): Trait is probably heritable – if rMZ = rDZ: Trait is probably environmental – If rMZ > 2*rDz: Dominance (never seen for social traits) • Anova/Ancova/Manova/Mancova
(1970‐1977)
 – Maybe
s'll
used
with
very
small
samples
 • Structural
Equa'on
Models
with
ML
(up
to
date)


  15. Expecta'ons
(More
Formally) A (Additive Genetic Influence): 2(rMZ – rDZ) (Assumes no Dominance, Gene-Gene or Gene- Environment Interactions) C (Common Environment): 2rDZ – rMZ D (Domiannce): 2rMZ – 4rDZ E (Unique Environment): 1 – MZ ( This also includes all sources of deviation from perfect correlation… like measurement error)

  16. Other
Things
to
Watch
Out
For
 • Who
is
an
MZ
and
who
is
a
DZ
 – Self
report
is
95%
accurate.
(Is
that
good
enough?)
 • Mixture
Model
Correc'on
(lets
not
get
too
far
ahead)
 – Mul'
Ques'on
Latent
Class
Analysis
 – Genotyping
 • No
influen'al
outliers
 • No
differences
in
means
and
variances
between











 MZ
and
DZ
twins
(and
between
twin
1
and
twin2)
 – For
categorical
data,
same
is
true
for
category
thresholds
 • Equal
Environemnt
Assump'on
(more
on
this
later)
 • No
alterna've
sources
of
variance
 – Self
selec'on
into
certain
environments
 – Random
ma'ng
of
parents


  17. The
Univariate
Structural
Equa'on
Model


  18. What
else
can
you
do
with
this
model
 • Explain
varinace
of
“phenotype”
with
predictors
 Before
Decomposing
Residual
Variance
Into
A,
C
&
E
 – Age
and
sex
is
standard.

Can
use
others.
 • Sex
difference
(include
DZOS)
4,
5,
6
group
model
 • Add
Addi'onal
Family
Members
into
the
Model
 • Use
a
measurement
(CFA
or
IRT)
model
to
construct
 phenotype
 • Test
rela'onships
between
phenotypes.

 Decompose
the
covariance
into
A,
C
and
E


  19. Biological
Pathway:
Genomics
 Behavioral
implica'ons
can
be
assessed
at
each
of
these
steps
 Proteins:
 Brain
 DNA
 (Genes
code
for
these)
 Genes
 Nucleo'des
 Neurons
 Amino
Acids


  20. What
am
I
doing?

(Survey
Research)
 • Na'onal
Survey
of
Midlife
Development
in
the
 United
States
(MIDUS)
 – Wave
I
was
collected
in
1995‐1996
 – Wave
II
collected
10
years
later
(but
lot
of
missing)
 – Only
used
items
present
on
both
waves
 – Large
Na'onal
Representa've
Sample

 – RDD
CATI
+
Mail
Follow
Up
 – Oversample
of
twins
(and
sibs
and
urban)
 – Singleton
sample
n=3091
 – Twins
sample
nMZ=359
/
nDZ=337
 pairs


  21. What
is
Survey
Response
Style?
 Acquiescence
and
Extreme
Response


  22. Cholesky
longitudinal
model
(for
twin
1)


  23. Panel
Cholesky
ACE
Model
Results
 Variance and Covariance Decomposed into ACE Acquiescence Total A C E ----------------------------------------------- Variance 1 0.286** 0.114 0.600*** Covariance 0.569*** 0.286** 0.114 0.169*** ----------------------------------------------- Extreme Resp. Total A C E ----------------------------------------------- Variance 1 0.196 0.321* 0.483*** Covariance 0.781*** 0.196 0.302+ 0.283*** ----------------------------------------------- +: p<.10, *: p<.05, **: p<.01, ***: p<.001

  24. Personality
(Big
5)
 • Work
with
Ma=hew
Hibbing
 • Personality
(Big
5)
 – Extraversion
 – Openness
 – Agreeableness
 – Conscien'ousness
 – Neuro'cism
 Personality A C E ----------------------------------------------- Agreeableness 0.344*** 0 0.656*** Conscientiousness 0.641*** 0.015 0.344*** Extraversion 0.533*** 0 0.467*** Neuroticism 0.549*** 0.03 0.421*** Openness 0.532** 0.022 0.446*** ----------------------------------------------- **: p<.01, ***: p<.001

  25. Expecta'ons
(also
on
next
slide)
 Personality Acquiescence ------------------------------------------- Agreeableness ++ Conscientiousness ?? Extraversion -- Neuroticism + Openness -- ------------------------------------------- - or + : Weak expectations, -- or ++: Strong expectations • Just
Focused
on
Acquiescence
 – Personality
does
not
have
a
C
component
 – Extreme
response
does
not
have
a
significant
A


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