Molecular Psychiatry,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 19, 2025
Abstract
Prediction
from
polygenic
scores
may
be
confounded
by
sources
of
passive
gene-environment
correlation
(rGE;
e.g.
population
stratification,
assortative
mating,
and
environmentally
mediated
effects
parental
genotype
on
child
phenotype).
Using
genomic
data
10
000
twin
pairs,
we
asked
whether
the
most
recent
externalising
genome-wide
association
study
predict
conduct
problems,
ADHD
symptomology
callous-unemotional
traits,
these
predictions
are
biased
rGE.
We
ran
regression
models
including
within-family
between-family
scores,
to
separate
direct
genetic
influence
a
trait
environmental
influences
that
correlate
with
genes
(indirect
effects).
Findings
suggested
this
score
is
good
index
ADHD-related
symptoms
across
development,
minimal
bias
rGE,
although
predicted
less
variance
in
CU
traits.
Post-hoc
analyses
showed
some
indirect
acting
common
factor
indexing
stability
problems
time
contexts.
Cold Spring Harbor Perspectives in Medicine,
Год журнала:
2021,
Номер
12(1), С. a040501 - a040501
Опубликована: Авг. 23, 2021
Mendelian
randomization
(MR)
is
a
method
of
studying
the
causal
effects
modifiable
exposures
(i.e.,
potential
risk
factors)
on
health,
social,
and
economic
outcomes
using
genetic
variants
associated
with
specific
interest.
MR
provides
more
robust
understanding
influence
these
because
germline
are
randomly
inherited
from
parents
to
offspring
and,
as
result,
should
not
be
related
confounding
factors
that
exposure-outcome
associations.
The
variant
can
therefore
used
tool
link
proposed
factor
outcome,
estimate
this
effect
less
bias
than
conventional
epidemiological
approaches.
We
describe
scope
MR,
highlighting
range
applications
being
made
possible
data
sets
resources
become
larger
freely
available.
outline
approach
in
detail,
covering
concepts,
assumptions,
estimation
methods.
cover
some
common
misconceptions,
provide
strategies
for
overcoming
violation
discuss
future
prospects
extending
clinical
applicability,
methodological
innovations,
robustness,
generalizability
findings.
Scientific Reports,
Год журнала:
2022,
Номер
12(1)
Опубликована: Май 11, 2022
Abstract
Digital
media
defines
modern
childhood,
but
its
cognitive
effects
are
unclear
and
hotly
debated.
We
believe
that
studies
with
genetic
data
could
clarify
causal
claims
correct
for
the
typically
unaccounted
role
of
predispositions.
Here,
we
estimated
impact
different
types
screen
time
(watching,
socializing,
or
gaming)
on
children’s
intelligence
while
controlling
confounding
differences
in
cognition
socioeconomic
status.
analyzed
9855
children
from
USA
who
were
part
ABCD
dataset
measures
at
baseline
(ages
9–10)
after
two
years.
At
baseline,
watching
(r
=
−
0.12)
socializing
0.10)
negatively
correlated
intelligence,
gaming
did
not
correlate.
After
years,
positively
impacted
(standardized
β
+
0.17),
had
no
effect.
This
is
consistent
benefits
documented
experimental
video
gaming.
Unexpectedly,
videos
also
benefited
0.12),
contrary
to
prior
research
effect
TV.
Although,
a
posthoc
analysis,
this
was
significant
if
parental
education
(instead
SES)
controlled
for.
Broadly,
our
results
line
malleability
abilities
environmental
factors,
such
as
training
Flynn
Journal of Child Psychology and Psychiatry,
Год журнала:
2022,
Номер
63(10), С. 1125 - 1139
Опубликована: Март 28, 2022
Background
Genetic
influences
are
ubiquitous
as
virtually
all
phenotypes
and
most
exposures
typically
classified
environmental
have
been
found
to
be
heritable.
A
polygenic
score
summarises
the
associations
between
millions
of
genetic
variants
an
outcome
in
a
single
value
for
each
individual.
Ever
lowering
costs
enabled
genotyping
many
samples
relevant
child
psychology
psychiatry
research,
including
cohort
studies,
leading
proliferation
studies.
It
is
tempting
assume
that
detected
scores
those
studies
only
reflect
effects.
However,
such
can
pathways
(e.g.
via
mediation)
biases.
Methods
Here,
we
provide
comprehensive
overview
reasons
why
scores,
exposures,
exist.
We
include
formal
representations
common
analyses
using
structural
equation
modelling.
derive
biases,
illustrative
empirical
examples
and,
when
possible,
mention
steps
taken
alleviate
Results
Structural
models
derivations
show
complexities
arising
from
jointly
modelling
with
phenotypes.
Counter‐intuitive
that:
(a)
may
exist
even
absence
direct
effects;
(b)
evocative/active
gene–environment
correlations;
(c)
adjusting
exposure‐outcome
association
increase
rather
than
decrease
bias.
Conclusions
Strikingly,
may,
some
cases,
lead
more
bias
not
them.
Appropriately
conducting
interpreting
thus
requires
researchers
beyond
versed
both
epidemiological
methods
or
build
on
interdisciplinary
collaborations.
Abstract
Although
rare
neurodevelopmental
conditions
have
a
large
Mendelian
component
1
,
common
genetic
variants
also
contribute
to
risk
2,3
.
However,
little
is
known
about
how
this
polygenic
distributed
among
patients
with
these
and
their
parents
nor
its
interplay
variants.
It
unclear
whether
background
affects
directly
through
alleles
transmitted
from
children,
or
indirect
effects
mediated
the
family
environment
4
play
role.
Here
we
addressed
questions
using
data
11,573
conditions,
9,128
of
26,869
controls.
Common
explained
around
10%
variance
in
risk.
Patients
monogenic
diagnosis
had
significantly
less
than
those
without,
supporting
liability
threshold
model
5
A
score
for
showed
only
direct
effect.
By
contrast,
scores
educational
attainment
cognitive
performance
no
effect,
but
non-transmitted
were
correlated
child’s
risk,
potentially
due
and/or
parental
assortment
traits
Indeed,
as
expected
under
assortment,
show
that
variant
predisposition
These
findings
indicate
future
studies
should
investigate
possible
role
nature
on
consider
contribution
simultaneously
when
studying
cognition-related
phenotypes.
Proceedings of the National Academy of Sciences,
Год журнала:
2025,
Номер
122(2)
Опубликована: Янв. 7, 2025
Socioeconomic
status
(SES)
is
a
critical
factor
in
determining
health
outcomes
and
influenced
by
genetic
environmental
factors.
However,
our
understanding
of
the
structure
SES
remains
incomplete.
Here,
we
conducted
large-scale
exome
study
markers
(household
income,
occupational
status,
educational
attainment,
social
deprivation)
350,770
individuals.
For
rare
coding
variants,
identified
56
significant
associations
gene-based
collapsing
tests,
unveiling
7
additional
SES-associated
genes
(
NRN1
,
CCDC36
RHOB
EP400
NCAM1,
TPTEP2-CSNK1E
LINC02881
).
Exome-wide
single
common
variant
analysis
revealed
nine
lead
single-nucleotide
polymorphisms
(SNPs)
associated
with
household
income
34
SNPs
EduYears,
replicating
previous
GWAS
findings.
The
gene–environment
correlations
had
substantial
impact
on
SES,
as
indicated
significantly
increased
P
values
several
after
controlling
for
geographic
regions.
Furthermore,
observed
pleiotropic
effects
factors
wide
range
outcomes,
such
cognitive
function,
psychosocial
diabetes.
This
highlights
contribution
variants
to
their
phenotypes.
PLoS Genetics,
Год журнала:
2021,
Номер
17(6), С. e1009590 - e1009590
Опубликована: Июнь 11, 2021
Associations
between
exposures
and
outcomes
reported
in
epidemiological
studies
are
typically
unadjusted
for
genetic
confounding.
We
propose
a
two-stage
approach
estimating
the
degree
to
which
such
observed
associations
can
be
explained
by
First,
we
assess
attenuation
of
exposure
effects
regressions
controlling
increasingly
powerful
polygenic
scores.
Second,
use
structural
equation
models
estimate
confounding
using
heritability
estimates
derived
from
both
SNP-based
twin-based
studies.
examine
maternal
education
three
developmental
–
child
educational
achievement,
Body
Mass
Index,
Attention
Deficit
Hyperactivity
Disorder.
Polygenic
scores
explain
14.3%
23.0%
original
associations,
while
analyses
under
SNP-
scenarios
indicate
that
could
almost
entirely
Thus,
caution
is
needed
when
interpreting
non-genetically
informed
epidemiology
Our
approach,
akin
genetically
sensitivity
analysis
applied
widely.
Proceedings of the National Academy of Sciences,
Год журнала:
2022,
Номер
119(25)
Опубликована: Июнь 16, 2022
Recent
research
has
suggested
that
across
Western
developed
societies,
the
influence
of
genetics
on
educational
outcomes
is
relatively
constant.
However,
degree
to
which
family
environment
matters
varies,
such
countries
with
high
levels
intergenerational
mobility
have
weaker
associations
background.
Research
in
this
vein
relied
twin-based
estimates,
involve
variance
decomposition,
so
direct
assessment
association
genes
and
environments
not
possible.
In
present
study,
we
approach
question
by
directly
measuring
impact
child
genotype,
parental
genetic
nurture,
realized
education
achievement
primary
secondary
school.
We
deploy
data
from
a
social
democratic
context
(Norway)
contrast
our
findings
those
derived
more
liberal
welfare
state
contexts.
Results
point
only
confounding
relationship
between
parent
status
offspring
small
degree.
Genetic
nurture
are
similar
other
societies.
find
no,
or
very
small,
gene–environment
interactions
parent–child
genotype
respect
test
scores.
sum,
Scandinavian
context,
both
environmental
magnitude
as
societies
less-robust
efforts
mitigate
The Journals of Gerontology Series B,
Год журнала:
2023,
Номер
78(8), С. 1375 - 1385
Опубликована: Апрель 14, 2023
Individuals
with
more
education
are
at
lower
risk
of
developing
multiple,
different
age-related
diseases
than
their
less-educated
peers.
A
reason
for
this
might
be
that
individuals
age
slower.
There
2
complications
in
testing
hypothesis.
First,
there
exists
no
definitive
measure
biological
aging.
Second,
shared
genetic
factors
contribute
toward
both
educational
attainment
and
the
development
diseases.
Here,
we
tested
whether
protective
effect
was
associated
pace
aging
after
accounting
factors.