Translational Psychiatry,
Journal Year:
2020,
Volume and Issue:
10(1)
Published: Aug. 3, 2020
Abstract
Autism
spectrum
disorder
(ASD)
is
a
highly
heritable
neurodevelopmental
disorder.
Large
genetically
informative
cohorts
of
individuals
with
ASD
have
led
to
the
identification
limited
number
common
genome-wide
significant
(GWS)
risk
loci
date.
However,
many
more
genetic
variants
are
expected
contribute
given
high
heritability.
Here,
we
performed
association
study
(GWAS)
on
6222
case-pseudocontrol
pairs
from
Simons
Foundation
Powering
Research
for
Knowledge
(SPARK)
dataset
identify
additional
factors
and
molecular
mechanisms
underlying
ASD.
We
identified
one
novel
GWS
locus
SPARK
GWAS
four
loci,
including
an
meta-analysis
previous
GWAS.
replicated
observation
enrichment
heritability
within
regulatory
regions
developing
cortex,
indicating
that
disruption
gene
regulation
during
neurodevelopment
critical
risk.
further
employed
massively
parallel
reporter
assay
(MPRA)
putative
causal
variant
at
strong
impacts
(rs7001340).
Expression
quantitative
trait
data
demonstrated
between
allele
decreased
expression
DDHD2
(DDHD
domain
containing
2)
in
both
adult
prenatal
brains.
In
conclusion,
by
integrating
multi-omic
annotations
experimental
validation,
fine-mapped
associated
Neither
the
disease
mechanism
nor
treatments
for
COVID-19
are
currently
known.
Here,
we
present
a
novel
molecular
that
provides
therapeutic
intervention
points
can
be
addressed
with
existing
FDA-approved
pharmaceuticals.
The
entry
point
virus
is
ACE2,
which
component
of
counteracting
hypotensive
axis
RAS.
Bradykinin
potent
part
vasopressor
system
induces
hypotension
and
vasodilation
degraded
by
ACE
enhanced
angiotensin1-9
produced
ACE2.
perform
new
analysis
on
gene
expression
data
from
cells
in
bronchoalveolar
lavage
fluid
(BALF)
patients
were
used
to
sequence
virus.
Comparison
BALF
controls
identifies
critical
imbalance
RAS
represented
decreased
combination
increases
renin,
angiotensin,
key
receptors,
kinogen
many
kallikrein
enzymes
activate
it,
both
bradykinin
receptors.
This
very
atypical
pattern
predicted
elevate
levels
multiple
tissues
systems
will
likely
cause
vascular
dilation,
permeability
hypotension.
These
bradykinin-driven
outcomes
explain
symptoms
being
observed
COVID-19.In
late
2019,
named
SARS-CoV-2,
causes
humans
called
COVID-19,
emerged
China
quickly
spread
around
world.
Many
individuals
infected
develop
only
mild,
including
cough,
high
temperature
loss
sense
smell;
while
others
may
no
at
all.
However,
some
much
more
severe,
life-threatening
affecting
lungs
other
parts
body
heart
brain.
SARS-CoV-2
uses
human
enzyme
ACE2
like
‘Trojan
Horse’
sneak
into
its
host.
lowers
blood
pressure
works
against
another
known
as
(which
has
opposite
effect).
Therefore,
balance
maintain
normal
pressure.
It
remains
unclear
whether
affects
how
work.
When
first
emerged,
team
researchers
studied
collected
help
them
identify
Garvin
et
al.
analyzed
previous
work
investigate
changes
regulates
contribute
COVID-19.
analyses
found
caused
lung
decrease,
increased.
turn
increased
molecule
(referred
‘Bradykinin
Storm’).
.
Previous
studies
have
shown
pain
vessels
expand
become
leaky
lead
swelling
inflammation
surrounding
tissue.
In
addition,
production
substance
hyaluronic
acid
was
could
degrade
it
greatly
decreased.
Hyaluronic
absorb
than
1,000
times
own
weight
water
form
hydrogel.
Bradykinin-Storm-induced
leakage
combined
excess
would
result
Jello-like
preventing
oxygen
uptake
carbon
dioxide
release
severely
affected
patients.
findings
suggest
Storm
responsible
severe
Further
experiments
identified
several
medicinal
drugs
potential
re-purposed
treat
Storm.
A
possible
next
step
carry
out
clinical
trials
assess
effective
these
treating
understanding
SARS-Cov-2
clinicians
who
most
risk
developing
symptoms.
Nature,
Journal Year:
2022,
Volume and Issue:
611(7934), P. 115 - 123
Published: Sept. 30, 2022
Previous
genome-wide
association
studies
(GWASs)
of
stroke
-
the
second
leading
cause
death
worldwide
were
conducted
predominantly
in
populations
European
ancestry1,2.
Here,
cross-ancestry
GWAS
meta-analyses
110,182
patients
who
have
had
a
(five
ancestries,
33%
non-European)
and
1,503,898
control
individuals,
we
identify
signals
for
its
subtypes
at
89
(61
new)
independent
loci:
60
primary
inverse-variance-weighted
analyses
29
secondary
meta-regression
multitrait
analyses.
On
basis
internal
validation
an
follow-up
89,084
additional
cases
(30%
1,013,843
87%
risk
loci
60%
replicated
(P
<
0.05).
Effect
sizes
highly
correlated
across
ancestries.
Cross-ancestry
fine-mapping,
silico
mutagenesis
analysis3,
transcriptome-wide
proteome-wide
revealed
putative
causal
genes
(such
as
SH3PXD2A
FURIN)
variants
GRK5
NOS3).
Using
three-pronged
approach4,
provide
genetic
evidence
drug
effects,
highlighting
F11,
KLKB1,
PROC,
GP1BA,
LAMC2
VCAM1
possible
targets,
with
drugs
already
under
investigation
F11
PROC.
A
polygenic
score
integrating
ancestry-specific
GWASs
vascular-risk
factor
(integrative
scores)
strongly
predicted
ischaemic
European,
East
Asian
African
ancestry5.
Stroke
scores
predictive
clinical
factors
52,600
clinical-trial
participants
cardiometabolic
disease.
Our
results
insights
to
inform
biology,
reveal
potential
targets
derive
prediction
tools
The Lancet Psychiatry,
Journal Year:
2020,
Volume and Issue:
7(12), P. 1032 - 1045
Published: Oct. 20, 2020
BackgroundVariation
in
liability
to
cannabis
use
disorder
has
a
strong
genetic
component
(estimated
twin
and
family
heritability
about
50–70%)
is
associated
with
negative
outcomes,
including
increased
risk
of
psychopathology.
The
aim
the
study
was
conduct
large
genome-wide
association
(GWAS)
identify
novel
variants
disorder.MethodsTo
this
GWAS
meta-analysis
associations
loci,
we
used
samples
from
Psychiatric
Genomics
Consortium
Substance
Use
Disorders
working
group,
iPSYCH,
deCODE
(20
916
case
samples,
363
116
control
total),
contrasting
cases
controls.
To
examine
overlap
between
22
traits
interest
(chosen
because
previously
published
phenotypic
correlations
[eg,
psychiatric
disorders]
or
hypothesised
chronotype]
disorder),
linkage
disequilibrium
score
regression
calculate
correlations.FindingsWe
identified
two
significant
loci:
chromosome
7
locus
(FOXP2,
lead
single-nucleotide
polymorphism
[SNP]
rs7783012;
odds
ratio
[OR]
1·11,
95%
CI
1·07–1·15,
p=1·84
×
10−9)
8
(near
CHRNA2
EPHX2,
SNP
rs4732724;
OR
0·89,
0·86–0·93,
p=6·46
10−9).
Cannabis
were
genetically
correlated
(rg
0·50,
p=1·50
10−21),
but
they
showed
significantly
different
12
tested,
suggesting
at
least
partially
underpinnings
disorder.
positively
other
psychopathology,
ADHD,
major
depression,
schizophrenia.InterpretationThese
findings
support
theory
that
shared
there
distinction
disorder.FundingNational
Institute
Mental
Health;
National
on
Alcohol
Abuse
Alcoholism;
Drug
Abuse;
Center
for
Personalized
Medicine
Centre
Integrative
Sequencing;
European
Commission,
Horizon
2020;
Child
Health
Human
Development;
Research
Council
New
Zealand;
Aging;
Wellcome
Trust
Case
Control
Consortium;
UK
Innovation
Medical
(UKRI
MRC);
Brain
&
Behavior
Foundation;
Deafness
Other
Communication
Disorders;
Services
Administration
(SAMHSA);
Biomedical
Imaging
Bioengineering;
(NHMRC)
Australia;
Tobacco-Related
Disease
Program
University
California;
Families
Borderline
Personality
Disorder
(Beth
Rob
Elliott)
2018
NARSAD
Young
Investigator
Grant;
Foundation
(Cure
Kids);
Canterbury
Zealand
Lottery
Grants
Board;
Otago;
Carney
Pharmacogenomics;
James
Hume
Bequest
Fund;
Institutes
Health:
Genes,
Environment
Initiative;
Cancer
Institute;
William
T
Grant
Australian
Council;
Virginia
Tobacco
Settlement
VISN
1
4
Illness
Research,
Education,
Clinical
Centers
US
Department
Veterans
Affairs;
5th
Framework
Programme
(FP-5)
GenomEUtwin
Project;
Lundbeck
NIH-funded
Shared
Instrumentation
S10RR025141;
Translational
Sciences
Award
grants;
Neurological
Stroke;
Heart,
Lung,
Blood
General
Sciences.
Annual Review of Plant Biology,
Journal Year:
2021,
Volume and Issue:
72(1), P. 357 - 385
Published: Jan. 22, 2021
Crops
feed
the
world's
population
and
shape
human
civilization.
The
improvement
of
crop
productivity
has
been
ongoing
for
almost
10,000
years
evolved
from
an
experience-based
to
a
knowledge-driven
practice
over
past
three
decades.
Natural
alleles
their
reshuffling
are
long-standing
genetic
changes
that
affect
how
crops
respond
various
environmental
conditions
agricultural
practices.
Decoding
basis
natural
variation
is
central
understanding
evolution
and,
in
turn,
improving
breeding.
Here,
we
review
current
advances
approaches
used
map
causal
variation,
provide
refined
insights
into
genetics
outline
this
knowledge
promises
drive
development
sustainable
agriculture
under
dome
emerging
technologies.
JAMA Psychiatry,
Journal Year:
2023,
Volume and Issue:
80(4), P. 360 - 360
Published: Feb. 8, 2023
Importance
Comorbidities
and
genetic
correlations
between
gastrointestinal
tract
diseases
psychiatric
disorders
have
been
widely
reported,
with
the
gut-brain
axis
(GBA)
hypothesized
as
a
potential
biological
basis.
However,
degree
to
which
shared
determinants
are
involved
in
these
associations
underlying
GBA
is
unclear.
Objective
To
investigate
etiology
identify
genomic
loci,
genes,
pathways.
Design,
Setting,
Participants
This
genome-wide
pleiotropic
association
study
using
summary
statistics
from
publicly
available
data
sources
was
performed
various
statistical
approaches
sequentially
single-nucleotide
variation
(SNV;
formerly
polymorphism
[SNP]),
gene
levels
pathways
disentangle
4
(inflammatory
bowel
disease,
irritable
syndrome,
peptic
ulcer
gastroesophageal
reflux
disease)
6
(schizophrenia,
bipolar
disorder,
major
depressive
attention-deficit/hyperactivity
posttraumatic
stress
anorexia
nervosa).
Data
were
collected
March
10,
2021,
August
25,
analysis
January
8
through
May
30,
2022.
Main
Outcomes
Measures
The
primary
outcomes
consisted
of
list
disorders.
Results
Extensive
overlaps
found
among
22
24
trait
pairs.
Pleiotropic
under
composite
null
hypothesis
identified
2910
significant
SNVs
19
pairs,
83
loci
colocalized
detected.
Gene-based
158
unique
candidate
highly
enriched
certain
GBA-related
phenotypes
tissues,
whereas
pathway
enrichment
further
highlighted
primarily
involving
cell
adhesion,
synaptic
structure
function,
immune
differentiation.
Several
also
causal
variants
gut
microbiomes.
Mendelian
randomization
illustrated
vertical
pleiotropy
across
pairwise
traits.
Notably,
many
for
multiple
traits,
such
1q32.1
(
INAVA
),
19q13.33
FUT2
11q23.2
NCAM1
1p32.3
LRP8
).
Conclusions
Relevance
These
findings
suggest
that
extensively
distributed
genome.
not
only
support
basis
but
important
implications
intervention
treatment
targets
simultaneously.
Nature Medicine,
Journal Year:
2023,
Volume and Issue:
29(12), P. 3184 - 3192
Published: Dec. 1, 2023
Abstract
Problematic
alcohol
use
(PAU),
a
trait
that
combines
disorder
and
alcohol-related
problems
assessed
with
questionnaire,
is
leading
cause
of
death
morbidity
worldwide.
Here
we
conducted
large
cross-ancestry
meta-analysis
PAU
in
1,079,947
individuals
(European,
N
=
903,147;
African,
122,571;
Latin
American,
38,962;
East
Asian,
13,551;
South
1,716
ancestries).
We
observed
high
degree
cross-ancestral
similarity
the
genetic
architecture
identified
110
independent
risk
variants
within-
analyses.
Cross-ancestry
fine
mapping
improved
identification
likely
causal
variants.
Prioritizing
genes
through
gene
expression
chromatin
interaction
brain
tissues
multiple
associated
PAU.
existing
medications
for
potential
pharmacological
studies
by
computational
drug
repurposing
analysis.
polygenic
scores
showed
better
performance
association
samples
than
single-ancestry
scores.
Genetic
correlations
between
other
traits
were
ancestries,
substance
having
highest
correlations.
This
study
advances
our
knowledge
etiology
PAU,
these
findings
may
bring
possible
clinical
applicability
genetics
insights—together
neuroscience,
biology
data
science—closer.
Nature Genetics,
Journal Year:
2024,
Volume and Issue:
56(2), P. 222 - 233
Published: Jan. 4, 2024
Abstract
Most
genome-wide
association
studies
(GWAS)
of
major
depression
(MD)
have
been
conducted
in
samples
European
ancestry.
Here
we
report
a
multi-ancestry
GWAS
MD,
adding
data
from
21
cohorts
with
88,316
MD
cases
and
902,757
controls
to
previously
reported
data.
This
analysis
used
range
measures
define
included
African
(36%
effective
sample
size),
East
Asian
(26%)
South
(6%)
ancestry
Hispanic/Latin
American
participants
(32%).
The
identified
53
significantly
associated
novel
loci.
For
loci
samples,
fewer
than
expected
were
transferable
other
groups.
Fine
mapping
benefited
additional
diversity.
A
transcriptome-wide
study
205
genes.
These
findings
suggest
that,
for
increasing
ancestral
global
diversity
genetic
may
be
particularly
important
ensure
discovery
core
genes
inform
about
transferability
findings.