To nap or not? Evidence from a meta-analysis of cohort studies of habitual daytime napping and health outcomes
Ying-Bo Yang,
No information about this author
Yongbo Zheng,
No information about this author
Jie Sun
No information about this author
et al.
Sleep Medicine Reviews,
Journal Year:
2024,
Volume and Issue:
78, P. 101989 - 101989
Published: Aug. 8, 2024
Language: Английский
Human genetic variation determines 24-hour rhythmic gene expression and disease risk
Research Square (Research Square),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Aug. 5, 2024
24-hour
biological
rhythms
are
essential
to
maintain
physiological
homeostasis.
Disruption
of
these
increases
the
risks
multiple
diseases.
The
known
have
a
genetic
basis
formed
by
core
clock
genes,
but
how
individual
variation
shapes
oscillating
transcriptome
and
contributes
human
chronophysiology
disease
risk
is
largely
unknown.
Here,
we
mapped
interactions
between
temporal
gene
expression
genotype
identify
quantitative
trait
loci
(QTLs)
contributing
rhythmic
expression.
These
newly
identified
QTLs
were
termed
as
(rhyQTLs),
which
determine
previously
unappreciated
genes
in
subpopulations
with
specific
genotypes.
Functionally,
rhyQTLs
their
associated
contribute
extensively
chronophysiological
processes,
including
bile
acid
lipid
metabolism.
identification
sheds
light
on
mechanisms
rhythmicity,
offers
mechanistic
insights
into
variations
risk,
enables
precision
chronotherapeutic
approaches
for
patients.
Language: Английский
Whole exome sequencing identified six novel genes for depressive symptoms
Ze-Yu Li,
No information about this author
Chen-Jie Fei,
No information about this author
Rui-Ying Yin
No information about this author
et al.
Molecular Psychiatry,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 29, 2024
Language: Английский
Siesta behavior and genetics interact to influence obesity risk
Obesity,
Journal Year:
2024,
Volume and Issue:
33(1), P. 164 - 176
Published: Dec. 23, 2024
Abstract
Objective
In
this
cross‐sectional
study,
we
aim
to
investigate
the
interactions
between
obesity,
siesta
behavior,
and
genetic
propensity
for
in
a
Mediterranean
population,
whom
is
deeply
rooted.
Methods
We
applied
previously
generated
Siesta‐Polygenic
Score
(PGS)
ONTIME
study
(
n
=
1278).
Siesta
other
lifestyle
behaviors
were
characterized
using
questionnaires.
further
determined
obesity
grade.
Secondarily,
measured
weight
loss
during
treatment
as
well
long‐term
weight‐loss
maintenance.
Logistic
regression
analyses
performed
address
our
aim.
Results
A
total
of
42.4%
population
usually
took
siesta.
significant
influence
on
was
found,
with
higher
predisposition
linked
taking
more
frequently
(odds
ratio
[OR]
1.17,
95%
CI:
1.03–1.32;
p
0.015).
Participants
showed
poorer
dietary
habits
<
0.05).
Among
individuals
high
siesta,
found
that
those
who
take
have
lower
odds
having
0.038)
compared
do
not.
Similarly,
exploratory
analysis,
among
success
0.007)
Conclusions
Considering
ongoing
debate
regarding
whether
beneficial
or
detrimental,
findings
suggest
individual
might
association
health.
image
Language: Английский
Association between sleep traits and epilepsy risk: a two-sample Mendelian randomization study
Xun Li,
No information about this author
Wei Yue
No information about this author
Research Square (Research Square),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 24, 2024
Abstract
Background
Sleep
and
epilepsy
have
been
reported
to
a
possible
interaction.
This
study
intended
assess
the
causal
relationship
between
sleep
traits
risk
through
two-sample
Mendelian
randomization
(MR)
study.
Methods
Exposure-
[sleep
traits:
getting
up
in
morning,
sleeplessness/insomnia,
duration,
nap
during
day,
morning/evening
person
(chronotype),
daytime
dozing/sleeping
(narcolepsy).]
outcome-
[Europeans:
epilepsy,
focal
generalized
epilepsy;
East
Asians:
epilepsy]
related
single-nucleotide
polymorphisms
(SNPs)
from
publicly
available
genome-wide
association
studies
(GWAS)
databases
were
used
as
instrumental
variables
for
analysis.
The
main
analyses
inverse
variance
weighted
(IVW)
derive
causality
estimates,
which
expressed
odds
ratio
(OR)
95%
confidence
interval
(CI).
Sensitivity
performed
reliability
of
results.
Results
For
Europeans,
genetically
predicted
morning
decreased
(OR
=
0.354,
95%CI:
0.212–0.589)
0.256,
0.101–0.651),
whereas
evening
(chronotype)
increased
1.371,
1.082–1.739)
1.618,
1.061–2.467).
No
significant
associations
found
(narcolepsy)
Europeans.
Asians,
only
sleeplessness/insomnia
was
increase
1.381,
1.039–1.837).
Conclusion
There
Asians.
Language: Английский
Sleep Genetics and Cognitive Changes over Time: The Moderating Effect of Age and the Role of Brain
Genes,
Journal Year:
2024,
Volume and Issue:
16(1), P. 21 - 21
Published: Dec. 26, 2024
Sleep
plays
a
crucial
role
in
cognitive
performance
and
changes
aging.
In
the
current
study,
we
investigated
of
sleep
duration
genetics
over
time
moderating
effect
age.
Participants
were
drawn
from
Reference
Abilities
Neural
Network
Cognitive
Reserve
studies
Columbia
University.
Each
participant
underwent
an
evaluation
function
extensive
neuropsychological
assessment.
Published
GWAS
summary
statistics
polygenic
score
for
(Sleep
PGI)
used
to
derive
PGI
our
study.
We
examined
whether
this
is
associated
with
5-year
follow-up
if
age
moderates
effect.
Analysis
was
performed
after
first
being
adjusted
group
(young:
20-44;
middle:
45-64;
old:
65-80),
sex,
education,
four
principal
components,
intracranial
volume
(ICV),
mean
cortical
thickness,
total
gray
matter
volume.
included
ICV,
volumes
as
time-varying
covariates.
further
interactions
PCs.
A
96
white-only
participants
included,
aged
24
78
years
old.
fully
model,
age-specific
analysis
showed
that
younger
individuals,
higher
lower
rates
decline
speed
processing.
Genetic
variants
significantly
influence
processing,
playing
critical
role,
above
brain
morphometry.
genetic
predisposition
longer
can
work
protective
factor
against
processing
young
adults.
Language: Английский