Educational Psychology Review,
Год журнала:
2024,
Номер
36(4)
Опубликована: Сен. 2, 2024
Abstract
Recent
advances
in
genomics
make
it
possible
to
predict
individual
differences
education
from
polygenic
scores
that
are
person-specific
aggregates
of
inherited
DNA
differences.
Here,
we
systematically
reviewed
and
meta-analyzed
the
strength
these
DNA-based
predictions
for
educational
attainment
(e.g.,
years
spent
full-time
education)
achievement
school
grades).
For
(
k
=
20,
n
16,
N
total
314,757),
a
multilevel
meta-analysis
showed
an
association
with
ρ
.27
(95%
CI
.22
.32).
19,
10,
83,788),
was
.24
.18
.30).
Eurocentric
biases
were
evident
only
15%
estimates
being
reported
samples
non-European
ancestry.
After
accounting
sample
ancestry,
age
at
assessment,
measure,
meta-analytic
increased
.29
.33)
.50
.39
.61)
achievement,
indicative
large
effect
sizes.
All
associated
significant
heterogeneity.
Our
findings
suggest
sizeable
but
vary
across
studies.
We
outline
three
steps
safeguard
potential
applications
score
maximize
their
benefits
personalizing
learning,
while
minimizing
bioethical
risks
perpetuating
social,
cultural,
economic
inequalities.
Trends in Cognitive Sciences,
Год журнала:
2023,
Номер
27(10), С. 901 - 915
Опубликована: Авг. 8, 2023
Modifiable
risk
and
protective
factors
for
boosting
brain
cognitive
development
preventing
neurodegeneration
decline
are
embraced
in
neuroimaging
studies.
We
call
sobriety
regarding
the
timing
quantity
of
such
influences
on
cognition.
Individual
differences
level
cognition,
many
which
present
already
at
birth
early
development,
appear
stable,
larger,
more
pervasive
than
change
across
lifespan.
Incorporating
early-life
factors,
including
genetics,
investigating
both
will
reduce
ascribing
undue
importance
causality
to
proximate
adulthood
older
age.
This
has
implications
mechanistic
understanding
prevention.
American Journal of Medical Genetics Part A,
Год журнала:
2024,
Номер
194(7)
Опубликована: Март 7, 2024
Debates
about
the
prospective
clinical
use
of
polygenic
risk
scores
(PRS)
have
grown
considerably
in
last
years.
The
potential
benefits
PRS
to
improve
patient
care
at
individual
and
population
levels
been
extensively
underlined.
Nonetheless,
contexts
presents
a
number
unresolved
ethical
challenges
consequent
normative
gaps
that
hinder
their
optimal
implementation.
Here,
we
conducted
systematic
review
reasons
literature
discussing
issues
moral
arguments
related
for
prevention
treatment
common
complex
diseases.
In
total,
included
analyzed
34
records,
spanning
from
2013
2023.
findings
organized
three
major
themes:
first
theme,
consider
harms
individuals
kin.
theme
"Threats
health
equity,"
concerns
social
relevance,
with
focus
on
justice
issues.
Finally,
"Towards
best
practices"
collects
series
research
priorities
provisional
recommendations
be
considered
an
translation
PRS.
We
conclude
reinvigorates
old
debates
matters
justice;
however,
open
questions,
regarding
practices
counseling,
suggest
considerations
applicable
monogenic
settings
will
not
sufficient
face
emerging
challenges.
Behavior Genetics,
Год журнала:
2023,
Номер
53(2), С. 75 - 84
Опубликована: Янв. 20, 2023
Abstract
A
century
after
the
first
twin
and
adoption
studies
of
behavior
in
1920s,
this
review
looks
back
on
journey
celebrates
milestones
behavioral
genetic
research.
After
a
whistle-stop
tour
early
quantitative
research
parallel
molecular
genetics,
travelogue
focuses
last
fifty
years.
Just
as
discoveries
were
beginning
to
slow
down
1990s,
genetics
made
it
possible
assess
DNA
variation
directly.
From
rocky
start
with
candidate
gene
association
research,
by
2005
technological
advance
microarrays
enabled
genome-wide
studies,
which
have
successfully
identified
some
variants
that
contribute
ubiquitous
heritability
traits.
The
ability
aggregate
effects
thousands
polygenic
scores
has
created
revolution
sciences
making
use
predict
individual
differences
from
life.
Abstract
Background
Genotypes
are
strongly
associated
with
disease
phenotypes,
particularly
in
brain
disorders.
However,
the
molecular
and
cellular
mechanisms
behind
this
association
remain
elusive.
With
emerging
multimodal
data
for
these
mechanisms,
machine
learning
methods
can
be
applied
phenotype
prediction
at
different
scales,
but
due
to
black-box
nature
of
learning,
integrating
modalities
interpreting
biological
challenging.
Additionally,
partial
availability
presents
a
challenge
developing
predictive
models.
Method
To
address
challenges,
we
developed
DeepGAMI,
an
interpretable
neural
network
model
improve
genotype–phenotype
from
data.
DeepGAMI
leverages
functional
genomic
information,
such
as
eQTLs
gene
regulation,
guide
connections.
it
includes
auxiliary
layer
cross-modal
imputation
allowing
latent
features
missing
thus
predicting
phenotypes
single
modality.
Finally,
uses
integrated
gradient
prioritize
various
phenotypes.
Results
We
several
datasets
including
genotype
bulk
cell-type
expression
diseases,
electrophysiology
mouse
neuronal
cells.
Using
cross-validation
independent
validation,
outperformed
existing
classifying
types,
clinical
even
using
(e.g.,
AUC
score
0.79
Schizophrenia
0.73
cognitive
impairment
Alzheimer’s
disease).
Conclusion
demonstrated
that
improves
prioritizes
phenotypic
networks
multiple
complex
brains
diseases.
Also,
prioritized
disease-associated
variants,
genes,
regulatory
linked
providing
novel
insights
into
interpretation
mechanisms.
is
open-source
available
general
use.
Postdigital Science and Education,
Год журнала:
2024,
Номер
6(4), С. 1143 - 1172
Опубликована: Фев. 3, 2024
Technoscientific
transformations
in
molecular
genomics
have
begun
to
influence
knowledge
production
education.
Interdisciplinary
scientific
consortia
are
seeking
identify
'genetic
influences'
on
'educationally
relevant'
traits,
behaviors,
and
outcomes.
This
article
examines
the
emerging
'knowledge
infrastructure'
of
educational
genomics,
attending
assembly
choreography
organizational
associations,
epistemic
architecture,
technoscientific
apparatuses
implicated
generation
genomic
understandings
from
masses
bioinformation.
As
an
infrastructure
datafied
production,
is
embedded
data-centered
epistemologies
practices
which
recast
problems
terms
genetic
associations-insights
about
deemed
discoverable
digital
bioinformation
potentially
open
genetically
informed
interventions
policy
practice.
While
scientists
claim
be
'opening
black
box
genome'
its
association
with
outcomes,
we
itself
as
a
source
authority.
Data-intensive
does
not
straightforwardly
'discover'
biological
bases
educationally
relevant
behaviors
Rather,
this
also
experimental
'ontological
supporting
particular
ways
knowing,
understanding,
explaining,
intervening
education,
recasting
human
subjects
education
being
surveyable
predictable
through
algorithmic
processing
Current Biology,
Год журнала:
2024,
Номер
34(6), С. R233 - R234
Опубликована: Март 1, 2024
Rapid
advances
over
the
last
decade
in
DNA
sequencing
and
statistical
genetics
enable
us
to
investigate
genomic
makeup
of
individuals
throughout
history.
In
a
recent
notable
study,
Begg
et
al.
Development and Psychopathology,
Год журнала:
2022,
Номер
34(5), С. 1816 - 1826
Опубликована: Сен. 23, 2022
Abstract
The
DNA
revolution
has
energized
research
on
interactions
between
genes
and
environments
(GxE)
by
creating
indices
of
G
(polygenic
scores)
that
are
powerful
predictors
behavioral
traits.
Here,
we
test
the
extent
to
which
polygenic
scores
for
attention-deficit/hyperactivity
disorder
neuroticism
moderate
associations
parent
reports
their
children’s
environmental
risk
(E)
at
ages
3
4
teacher
ratings
behavior
problems
(hyperactivity/inattention,
conduct
problems,
emotional
symptoms,
peer
relationship
problems)
7,
9
12.
sampling
frame
included
up
6687
twins
from
Twins
Early
Development
Study.
Our
analyses
focused
relative
effect
sizes
G,
E
GxE
in
predicting
problems.
predicted
2%,
2%
0.4%,
respectively,
variance
externalizing
(hyperactivity/inattention
across
12,
with
no
clear
developmental
trends.
predictions
symptoms
were
weaker.
A
quarter
(12
48)
our
tests
nominally
significant
(
p
=
.05).
Increasing
predictive
power
would
enhance
search
GxE.