Behavioral and Brain Sciences,
Journal Year:
2022,
Volume and Issue:
46
Published: May 5, 2022
Behavior
genetics
is
a
controversial
science.
For
decades,
scholars
have
sought
to
understand
the
role
of
heredity
in
human
behavior
and
life-course
outcomes.
Recently,
technological
advances
rapid
expansion
genomic
databases
facilitated
discovery
genes
associated
with
phenotypes
such
as
educational
attainment
substance
use
disorders.
To
maximize
potential
this
flourishing
science,
minimize
harms,
careful
analysis
what
it
would
mean
for
be
causes
needed.
In
paper,
we
advance
framework
identifying
instances
genetic
causes,
interpreting
those
causal
relationships,
applying
them
knowledge
more
generally
social
sciences.
Central
thinking
about
counterfactual
reasoning,
cornerstone
statistics,
medicine,
philosophy.
We
argue
that
within-family
effects
represent
product
comparison
same
way
average
treatment
(ATEs)
from
randomized
controlled
trials
(RCTs).
Both
ATEs
RCTs
are
shallow
causes:
They
operate
within
intricate
systems
(non-unitary),
produce
heterogeneous
across
individuals
(non-uniform),
not
mechanistically
informative
(non-explanatory).
Despite
these
limitations,
can
used
improve
understanding
etiology
explore
sources
heterogeneity
fade-out
effects.
Clinical Psychological Science,
Journal Year:
2023,
Volume and Issue:
12(1), P. 53 - 82
Published: May 3, 2023
Over
the
past
10
years,
general
factor
of
psychopathology,
p,
has
attracted
interest
and
scrutiny.
We
review
history
idea
that
all
mental
disorders
share
something
in
common,
p;
how
we
arrived
at
this
idea;
it
became
conflated
with
a
statistical
representation,
Bi-Factor
Model.
then
leverage
Environmental
Risk
(E-Risk)
longitudinal
twin
study
to
examine
properties
nomological
network
different
representations
p.
find
p
performed
similarly
regardless
was
modelled,
suggesting
if
sample
content
are
same
resulting
will
be
similar.
suggest
meaning
is
not
found
by
dueling
over
models
but
conducting
well-specified
criterion-validation
studies
developing
new
measurement
approaches.
outline
directions
refresh
research
efforts
uncover
what
have
common.
Nature Aging,
Journal Year:
2023,
Volume and Issue:
3(8), P. 1020 - 1035
Published: Aug. 7, 2023
Abstract
The
concept
of
aging
is
complex,
including
many
related
phenotypes
such
as
healthspan,
lifespan,
extreme
longevity,
frailty
and
epigenetic
aging,
suggesting
shared
biological
underpinnings;
however,
aging-related
endpoints
have
been
primarily
assessed
individually.
Using
data
from
these
traits
multivariate
genome-wide
association
study
methods,
we
modeled
their
underlying
genetic
factor
(‘mvAge’).
mvAge
(effective
n
=
~1.9
million
participants
European
ancestry)
identified
52
independent
variants
in
38
genomic
loci.
Twenty
were
novel
(not
reported
input
studies).
Transcriptomic
imputation
age-relevant
genes,
VEGFA
PHB1
.
Drug-target
Mendelian
randomization
with
metformin
target
genes
showed
a
beneficial
impact
on
(
P
value
8.41
×
10
−5
).
Similarly,
genetically
proxied
thiazolidinediones
3.50
−10
),
proprotein
convertase
subtilisin/kexin
9
inhibition
1.62
−6
angiopoietin-like
protein
4,
beta
blockers
calcium
channel
also
had
estimates.
Extending
the
drug-target
framework
to
3,947
protein-coding
prioritized
122
targets.
Together,
findings
will
inform
future
studies
aimed
at
improving
healthy
aging.
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
Nature Communications,
Journal Year:
2025,
Volume and Issue:
16(1)
Published: Jan. 18, 2025
Pubertal
timing
is
highly
variable
and
associated
with
long-term
health
outcomes.
Phenotypes
pubertal
include
age
at
menarche,
voice
break,
first
facial
hair
growth
spurt,
seems
to
have
a
shared
genetic
architecture
between
the
sexes.
However,
puberty
phenotypes
primarily
been
assessed
separately,
failing
account
for
genetics,
which
limits
reliability
of
purported
implications.
Here,
we
model
common
using
multivariate
GWAS,
an
effective
population
514,750
European
participants.
We
find
266
independent
variants
in
197
loci,
including
18
novel
variants.
Transcriptomic,
proteome
imputation
fine-mapping
analyses
reveal
genes
causal
timing,
KDM4C,
LEPR,
CCNC,
ACP1,
PCSK1.
Linkage
disequilibrium
score
regression
Mendelian
randomisation
analysis
establish
associations
earlier
both
accelerated
ageing
risk
developing
cardiovascular
disease
osteoporosis.
that
alanine
aminotransferase,
glycated
haemoglobin,
high-density
lipoprotein
cholesterol
Parabacteroides
levels
are
mediators
these
relationships,
controlling
oily
fish
retinol
intake
may
be
beneficial
promoting
healthy
development.
Translational Psychiatry,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: Jan. 25, 2025
Advancements
in
single-cell
multimodal
techniques
have
greatly
enhanced
our
understanding
of
disease-relevant
loci
identified
through
genome-wide
association
studies
(GWASs).
To
investigate
the
biological
connections
between
eye
and
brain,
we
integrated
bulk
multiomic
profiles
with
GWAS
summary
statistics
for
eight
neuropsychiatric
five
ocular
diseases.
Our
analysis
uncovered
latent
factors
explaining
61.7%
genetic
variance
across
these
13
diseases,
revealing
diverse
correlational
patterns
among
them.
We
45
pleiotropic
91
candidate
genes
that
contribute
to
disease
risk.
By
integrating
profiles,
implicated
excitatory
neurons
microglia
as
key
contributors
eye-brain
connections.
Polygenic
enrichment
further
15
regulons
16
were
linked
comorbid
conditions.
Functionally,
neuron-specific
involved
axon
guidance
synaptic
activity,
while
microglia-specific
associated
immune
response
cell
activation.
In
sum,
findings
underscore
link
psychiatric
disorders
Translational Psychiatry,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: Feb. 7, 2025
Although
the
efficacy
of
pharmacy
in
treatment
attention
deficit/hyperactivity
disorder
(ADHD)
has
been
well
established,
lack
predictors
response
poses
great
challenges
for
personalized
treatment.
The
current
study
employed
a
comprehensive
approach,
combining
genome-wide
association
analyses
(GWAS)
and
deep
learning
(DL)
methods,
to
elucidate
genetic
underpinnings
pharmacological
ADHD.
Based
on
genotype
data
medication-naïve
patients
with
ADHD
who
received
treatments
12
weeks,
performed
GWAS
using
percentage
changes
ADHD-RS
score
as
phenotype.
Then,
DL
models
were
constructed
predict
symptom
scores
variants
selected
based
four
different
P
thresholds
(E-02,
E-03,
E-04,
E-05)
inputs.
results
identified
two
significant
loci
(rs10880574,
=
2.39E-09;
rs2000900,
3.31E-09)
which
implicated
genes,
TMEM117
MYO5B,
that
primarily
associated
both
brain-
gut-related
disorders.
convolutional
neural
network
(CNN)
model,
values
less
than
E-02
(5516
SNPs),
demonstrated
best
performance
mean
squared
error
(MSE)
equals
0.012
(Accuracy
0.83;
Sensitivity
0.90;
Specificity
0.75)
validation
dataset,
0.081
an
independent
test
dataset
(Acc
0.61,
0.81;
0.26).
Notably,
variant
contributed
most
CNN
model
was
NKAIN2,
ADHD-related
gene,
is
also
metabolic
processes.
To
conclude,
integration
methods
revealed
new
genes
contribute
responses,
underscored
interplay
between
systems
processes,
potentially
providing
critical
insights
into
precision
Furthermore,
our
exhibited
good
encouraged
future
studies
implied
potential
clinical
applications.
Frontiers in Psychiatry,
Journal Year:
2025,
Volume and Issue:
16
Published: Feb. 13, 2025
Introduction
While
the
influence
of
both
genetic
and
environmental
factors
on
development
psychiatric
symptoms
is
well-recognized,
precise
nature
their
interaction
throughout
remains
a
subject
ongoing
debate.
This
study
investigated
association
between
expression
78
candidate
genes,
previously
associated
with
phenotypes,
in
peripheral
blood
adversity
psychopathology
sample
298
young
individuals
assessed
at
two
time
points
from
Brazilian
High
Risk
Cohort
Study
for
Mental
Conditions
(BHRCS).
Methods
Psychopathology
was
using
Child
Behavior
Checklist
(CBCL),
considering
total
CBCL,
p-factor
(i.e.
general
factor
psychopathology),
internalizing
externalizing
as
clinical
variables.
The
life
adversities
considered
this
includes
four
composite
variables:
child
maltreatment,
stressful
events,
threat
deprivation.
Gene
measured
next-generation
sequencing
target
genes
differential
gene
analyzed
DESeq2
package.
Results
Mixed
models
revealed
six
symptoms:
NR3C1,
HSPBP1,
SIN3A,
SMAD4,
CRLF3
exhibited
negative
correlation
these
symptoms,
while
FAR1
showed
positive
correlation.
Additionally,
we
also
found
USP38
symptoms.
Finally,
DENND11
PRRC1
were
negatively
deprivation,
latent
characterized
by
neglect,
parental
absence,
measures
material
forms
No
mediation
or
moderation
effect
observed
meaning
that
they
might
distinct
pathways.
Discussion
Among
nine
which
encodes
glucocorticoid
receptor,
far
most
investigated,
being
depressive
early
adversity,
stress.
further
research
needed
to
fully
understand
complex
relationship
expression,
adversities,
psychopathology,
our
findings
provide
valuable
insights
into
molecular
mechanisms
underlying
mental
disorders.