medRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: June 16, 2024
Cannabis
is
one
of
the
most
widely
used
drugs
globally.
Decriminalization
cannabis
further
increasing
consumption.
We
performed
genome-wide
association
studies
(GWASs)
lifetime
(N=131,895)
and
frequency
(N=73,374)
use.
Lifetime
use
GWAS
identified
two
loci,
near
CADM2
(rs11922956,
p=2.40E-11)
another
GRM3
(rs12673181,
p=6.90E-09).
Frequency
locus
(rs4856591,
p=8.10E-09;
r2
=0.76
with
rs11922956).
Both
traits
were
heritable
genetically
correlated
previous
GWASs
disorder
(CUD),
as
well
other
substance
cognitive
traits.
Polygenic
scores
(PGSs)
for
associated
phenotypes
in
AllofUs
participants.
Phenome-wide
study
PGS
a
hospital
cohort
replicated
associations
mood
disorders,
uncovered
celiac
infectious
diseases.
This
work
demonstrates
value
CUD
transition
risk
factors.
Addiction Biology,
Journal Year:
2024,
Volume and Issue:
29(2)
Published: Jan. 29, 2024
Sensation
seeking
is
bidirectionally
associated
with
levels
of
alcohol
consumption
in
both
adult
and
adolescent
samples,
shared
neurobiological
genetic
influences
may
part
explain
these
associations.
Links
between
sensation
use
disorder
(AUD)
primarily
manifest
via
increased
rather
than
through
direct
effects
on
increasing
problems
consequences.
Here
the
overlap
among
seeking,
consumption,
AUD
was
examined
using
multivariate
modelling
approaches
for
genome-wide
association
study
(GWAS)
summary
statistics
conjunction
neurobiologically
informed
analyses
at
multiple
investigation.
Meta-analytic
genomic
structural
equation
(GenomicSEM)
were
used
to
conduct
GWAS
AUD.
Resulting
downstream
examine
brain
tissue
enrichment
heritability
evidence
(e.g.,
stratified
GenomicSEM,
RRHO,
correlations
neuroimaging
phenotypes),
identify
regions
likely
contributing
observed
across
traits
H-MAGMA
LAVA).
Across
approaches,
results
supported
neurogenetic
architecture
characterised
by
overlapping
genes
expressed
midbrain
striatal
tissues
variants
cortical
surface
area.
Alcohol
evidenced
relation
decreased
frontocortical
thickness.
Finally,
mediation
models
provided
mediating
associations
This
extends
previous
research
examining
critical
sources
multi-omic
which
underlie
phenotypic
Addiction
vulnerability
is
associated
with
the
tendency
to
attribute
incentive
salience
reward
predictive
cues.
Both
addiction
and
attribution
of
are
influenced
by
environmental
genetic
factors.
To
characterize
contributions
attribution,
we
performed
a
genome-wide
association
study
(GWAS)
in
cohort
1596
heterogeneous
stock
(HS)
rats.
Rats
underwent
Pavlovian
conditioned
approach
task
that
characterized
responses
food-associated
stimuli
("cues").
Responses
ranged
from
cue-directed
"sign-tracking"
behavior
food-cup
directed
"goal-tracking"
(12
measures,
SNP
heritability:
0.051-0.215).
Next,
rats
novel
operant
for
unrewarded
presentations
cue
using
reinforcement
procedure.
GWAS
identified
14
quantitative
trait
loci
(QTLs)
11
12
traits
across
both
tasks.
Interval
sizes
these
QTLs
varied
widely.
Seven
shared
QTL
on
chromosome
1
contained
few
genes
(e.g.,
Tenm4,
Mir708)
have
been
substance
use
disorders
other
psychiatric
humans.
Other
candidate
Wnt11,
Pak1)
this
region
had
coding
variants
expression-QTLs
mesocorticolimbic
regions
brain.
We
also
conducted
Phenome-Wide
Association
Study
(PheWAS)
addiction-related
behaviors
HS
found
was
nicotine
self-administration
separate
These
results
provide
starting
point
molecular
dissection
motivational
processes
further
support
relationship
between
drug
abuse-related
traits.
Psychiatry Research,
Journal Year:
2024,
Volume and Issue:
333, P. 115758 - 115758
Published: Feb. 3, 2024
We
characterized
the
genetic
architecture
of
attention-deficit
hyperactivity
disorder-substance
use
disorder
(ADHD-SUD)
relationship
by
investigating
correlation,
causality,
pleiotropy,
and
common
polygenic
risk.
Summary
statistics
from
genome-wide
association
studies
(GWAS)
were
used
to
investigate
ADHD
(Neff=51,568),
cannabis
(CanUD,
Neff=161,053),
opioid
(OUD,
Neff=57,120),
problematic
alcohol
(PAU,
Neff=502,272),
tobacco
(PTU,
Neff=97,836).
ADHD,
CanUD,
OUD
GWAS
meta-analyses
included
cohorts
with
case
definitions
based
on
different
diagnostic
criteria.
PAU
combined
information
related
disorder,
dependence,
items
consequences
assessed
disorders
identification
test.
PTU
was
generated
a
multi-trait
analysis
including
regarding
Fagerström
Test
for
Nicotine
Dependence
cigarettes
per
day.
Linkage
disequilibrium
score
regression
analyses
indicated
positive
correlation
OUD,
PAU,
PTU.
Genomic
structural
equation
modeling
showed
that
these
correlations
two
latent
factors:
one
other
PAU.
had
larger
causal
effect
than
reverse
in
two-sample
Mendelian
randomization
analyses.
Conversely,
similar
sizes
found
between
CanUD.
CADM2
rs62250713
pleiotropic
SNP
all
SUDs.
seven,
one,
twenty-eight
variants
PTU,
respectively.
Finally,
PRS
associated
increased
odds
ADHD.
Our
findings
demonstrated
contribution
multiple
mechanisms
comorbidity
Molecular Psychiatry,
Journal Year:
2024,
Volume and Issue:
unknown
Published: April 5, 2024
Abstract
Cannabis
use
disorder
(CanUD)
has
increased
with
the
legalization
of
cannabis.
Around
20%
individuals
using
cannabis
develop
CanUD,
and
number
users
grown
increasing
ease
access.
CanUD
other
substance
disorders
(SUDs)
are
associated
phenotypically
genetically.
We
leveraged
new
genomics
data
to
undertake
genetically-informed
analyses
unprecedented
power,
investigate
genetic
architecture
causal
relationships
between
lifetime
risk
for
developing
SUDs
traits.
Analyses
included
calculating
local
global
correlations,
genomic
structural
equation
modeling
(genomicSEM),
Mendelian
Randomization
(MR).
Results
from
correlation
genomicSEM
demonstrated
that
differ
in
their
found
significant
effects
influencing
all
analyzed
traits:
opioid
(OUD)
(Inverse
variant
weighted,
IVW
β
=
0.925
±
0.082),
problematic
alcohol
(PAU)
(IVW
0.443
0.030),
drinks
per
week
(DPW)
0.182
0.025),
Fagerström
Test
Nicotine
Dependence
(FTND)
0.183
0.052),
cigarettes
day
0.150
0.045),
current
versus
former
smokers
0.178
smoking
initiation
0.405
0.042).
also
evidence
bidirectionality
showing
OUD,
PAU,
initiation,
cessation,
DPW
increase
CanUD.
For
use,
bidirectional
were
inferred
DPW;
was
a
higher
OUD
0.785
0.266).
GenomicSEM
confirmed
load
onto
different
factors.
conclude
can
SUDs.
This
substantial
public
health
implications;
move
towards
may
be
expected
kinds
use.
These
harmful
outcomes
addition
medical
harms
directly
medRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 6, 2025
Abstract
Background
The
Hierarchical
Taxonomy
of
Psychopathology
(HiTOP)
and
Research
Domain
Criteria
(RDoC)
frameworks
emphasize
transdiagnostic
mechanistic
aspects
psychopathology,
respectively.
We
used
a
multi-omics
approach
to
examine
how
externalizing
(EXT),
internalizing
(INT),
shared
EXT+INT
liability
map
onto
these
models.
Methods
conducted
analyses
across
five
RDoC
units
analysis:
genes,
molecules,
cells,
circuits,
physiology.
Using
genome-wide
association
studies
from
the
companion
Part
I
article,
we
identified
genes
tissue-specific
expression
patterns.
drug
repurposing
that
integrate
gene
annotations
identify
potential
therapeutic
targets
single-cell
RNA
sequencing
data
implicate
brain
cell
types.
then
magnetic
resonance
imaging
regions
circuits
associated
with
each
psychopathology
spectrum.
Finally,
tested
causal
relationships
between
spectrum
physical
health
conditions.
Results
identification
methods,
EXT
was
1,759
INT
454
1,138
genes.
Drug
targets,
including
those
affect
dopamine
serotonin
pathways.
Expression
enriched
in
GABAergic,
cortical,
hippocampal
neurons,
while
were
more
narrowly
linked
GABAergic
neurons.
reduced
gray
matter
volume
amygdala
subcallosal
cortex.
Mendelian
randomization,
showed
stronger
effects
on
health—including
chronic
pain
cardiovascular
diseases—than
EXT.
Conclusions
Our
findings
revealed
distinct
pathways
underlying
psychopathology.
Integrating
genomic
insights
HiTOP
advanced
our
understanding
mechanisms
underlie
Psychological Medicine,
Journal Year:
2025,
Volume and Issue:
55
Published: Jan. 1, 2025
Abstract
Background
Impulsivity
is
a
multidimensional
trait
associated
with
substance
use
disorders
(SUDs),
but
the
relationship
between
distinct
impulsivity
facets
and
stages
of
involvement
remains
unclear.
Methods
We
used
genomic
structural
equation
modeling
genome-wide
association
studies
(
N
=
79,729–903,147)
to
examine
latent
genetic
architecture
nine
traits
seven
(SU)
SUD
traits.
Results
found
that
SU
factors
were
strongly
genetically
inter-correlated
r
G
=0.77)
their
associations
differed.
Lack
premeditation,
negative
positive
urgency
equally
positively
correlated
both
=.0.30–0.50)
0.38–0.46)
factors;
sensation
seeking
was
more
factor
=0.27
versus
=0.10);
delay
discounting
=0.31
=0.21);
lack
perseverance
only
weakly
=0.10).
After
controlling
for
correlation
SU/SUD,
we
premeditation
independently
(β=0.42)
(β=0.21);
(β=0.48,
β=0.33,
respectively);
(β=0.33,
β=0.36,
respectively).
Conclusions
Our
findings
show
specific
confer
risk
involvement,
potential
implications
SUDs
prevention
treatment.
Higher
delay
discounting
(DD)
(i.e.,
propensity
to
devalue
larger,
delayed
rewards
over
immediate,
smaller
rewards)
is
a
transdiagnostic
marker
underpinning
multiple
health
behaviors.
Although
genetic
influences
account
for
some
of
the
variability
in
DD
among
adults,
less
known
about
contributors
preadolescents.
We
examined
whether
polygenic
scores
(PGS)
DD,
educational
attainment,
and
behavioral
traits
impulsivity,
inhibition,
externalizing
behavior)
were
associated
with
phenotypic
Participants
included
youth
(N
=
8982,
53%
male)
from
Adolescent
Brain
Cognitive
Development
Study
who
completed
an
Adjusting
Delay
Discounting
Task
at
1-year
follow-up
had
valid
data.
PGS
behaviors
created
based
on
largest
GWAS
available.
Separate
linear
mixed
effects
models
conducted
individuals
most
genetically
similar
European
(EUR;
n
4972),
African
(AFR;
1769),
Admixed
American
(AMR;
2241)
reference
panels.
After
adjusting
age,
sex,
income,
top
ten
ancestry
principal
components,
greater
lower
attainment
(but
not
or
externalizing)
higher
rates
preference
sooner,
participants
EUR
Findings
provide
insight
into
influence
tendencies
preadolescents,
particularly
those
samples,
thereby
advancing
our
understanding
etiology
choice
this
population.