Cell,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 1, 2024
Large-scale
proteomics
studies
can
refine
our
understanding
of
health
and
disease
enable
precision
medicine.
Here,
we
provide
a
detailed
atlas
2,920
plasma
proteins
linking
to
diseases
(406
prevalent
660
incident)
986
health-related
traits
in
53,026
individuals
(median
follow-up:
14.8
years)
from
the
UK
Biobank,
representing
most
comprehensive
proteome
profiles
date.
This
revealed
168,100
protein-disease
associations
554,488
protein-trait
associations.
Over
650
were
shared
among
at
least
50
diseases,
over
1,000
showed
sex
age
heterogeneity.
Furthermore,
demonstrated
promising
potential
discrimination
(area
under
curve
[AUC]
>
0.80
183
diseases).
Finally,
integrating
protein
quantitative
trait
locus
data
determined
474
causal
proteins,
providing
37
drug-repurposing
opportunities
26
targets
with
favorable
safety
profiles.
These
results
an
open-access
proteome-phenome
resource
(https://proteome-phenome-atlas.com/)
help
elucidate
biological
mechanisms
accelerate
development
biomarkers,
prediction
models,
therapeutic
targets.
Nature,
Journal Year:
2022,
Volume and Issue:
607(7920), P. 732 - 740
Published: July 20, 2022
Detailed
knowledge
of
how
diversity
in
the
sequence
human
genome
affects
phenotypic
depends
on
a
comprehensive
and
reliable
characterization
both
sequences
variation.
Over
past
decade,
insights
into
this
relationship
have
been
obtained
from
whole-exome
sequencing
or
whole-genome
large
cohorts
with
rich
data1,2.
Here
we
describe
analysis
150,119
individuals
UK
Biobank3.
This
constitutes
set
high-quality
variants,
including
585,040,410
single-nucleotide
polymorphisms,
representing
7.0%
all
possible
58,707,036
indels.
variants
allows
us
to
characterize
selection
based
variation
within
population
through
depletion
rank
score
windows
along
genome.
Depletion
shows
that
coding
exons
represent
small
fraction
regions
subject
strong
conservation.
We
define
three
Biobank:
British
Irish
cohort,
smaller
African
cohort
South
Asian
cohort.
A
haplotype
reference
panel
is
provided
imputation
most
carried
by
more
sequenced
individuals.
identified
895,055
structural
2,536,688
microsatellites,
groups
typically
excluded
large-scale
studies.
Using
formidable
new
resource,
provide
several
examples
trait
associations
for
rare
effects
not
found
previously
studies
and/or
imputation.
Nucleic Acids Research,
Journal Year:
2022,
Volume and Issue:
51(D1), P. D1353 - D1359
Published: Nov. 18, 2022
The
Open
Targets
Platform
(https://platform.opentargets.org/)
is
an
open
source
resource
to
systematically
assist
drug
target
identification
and
prioritisation
using
publicly
available
data.
Since
our
last
update,
we
have
reimagined,
redesigned,
rebuilt
the
in
order
streamline
data
integration
harmonisation,
expand
ways
which
users
can
explore
data,
improve
user
experience.
gene-disease
causal
evidence
has
been
enhanced
expanded
better
capture
disease
causality
across
rare,
common,
somatic
diseases.
For
annotations,
incorporated
new
features
that
help
assess
safety
tractability,
including
genetic
constraint,
PROTACtability
assessments,
AlphaFold
structure
predictions.
We
also
introduced
machine
learning
applications
for
knowledge
extraction
from
published
literature,
clinical
trial
information,
labels.
technologies
frameworks
since
update
will
ease
introduction
of
creation
separate
instances
adapted
requirements.
Our
Community
forum,
training
materials,
outreach
programme
support
a
range
use
cases.
Nature Genetics,
Journal Year:
2022,
Volume and Issue:
54(8), P. 1155 - 1166
Published: July 14, 2022
Abstract
Clonal
hematopoiesis
(CH),
the
clonal
expansion
of
a
blood
stem
cell
and
its
progeny
driven
by
somatic
driver
mutations,
affects
over
third
people,
yet
remains
poorly
understood.
Here
we
analyze
genetic
data
from
200,453
UK
Biobank
participants
to
map
landscape
inherited
predisposition
CH,
increasing
number
germline
associations
with
CH
in
European-ancestry
populations
4
14.
Genes
at
new
loci
implicate
DNA
damage
repair
(
PARP1
,
ATM
CHEK2
),
hematopoietic
migration/homing
CD164
)
myeloid
oncogenesis
SETBP1
).
Several
were
CH-subtype-specific
including
variants
TCL1A
that
had
opposite
DNMT3A
-
versus
TET2
-mutant
two
most
common
subtypes,
proposing
key
roles
for
these
development.
Mendelian
randomization
analyses
showed
smoking
longer
leukocyte
telomere
length
are
causal
risk
factors
increases
risks
myeloproliferative
neoplasia,
nonhematological
malignancies,
atrial
fibrillation
epigenetic
ageing.
European Heart Journal,
Journal Year:
2022,
Volume and Issue:
43(19), P. 1799 - 1808
Published: Feb. 16, 2022
Decades
of
research
have
established
atherosclerosis
as
an
inflammatory
disease.
Only
recently
though,
clinical
trials
provided
proof-of-concept
evidence
for
the
efficacy
anti-inflammatory
strategies
with
respect
to
cardiovascular
events,
thus
offering
a
new
paradigm
lowering
residual
vascular
risk.
Efforts
target
inflammasome-interleukin-1β-interleukin-6
pathway
been
highly
successful,
but
inter-individual
variations
in
drug
response,
lack
reduction
all-cause
mortality,
and
higher
rate
infections
also
highlight
need
second
generation
agents
targeting
atherosclerosis-specific
immune
mechanisms
while
minimizing
systemic
side
effects.
CC-motif
chemokine
ligand
2/monocyte-chemoattractant
protein-1
(CCL2/MCP-1)
orchestrates
monocyte
trafficking
between
bone
marrow,
circulation,
atherosclerotic
plaques
by
binding
its
cognate
receptor
CCR2.
Adding
strong
body
data
from
experimental
models,
coherent
series
recent
large-scale
genetic
observational
epidemiological
studies
along
human
relevance
therapeutic
potential
CCL2-CCR2
axis
atherosclerosis.
Here,
we
summarize
pinpointing
emerging
Furthermore,
contextualize
previous
efforts
interfere
this
pathway,
scrutinize
approaches
vs.
targeting,
discuss
possible
pathway-intrinsic
opportunities
challenges
related
pharmacological
Nature,
Journal Year:
2022,
Volume and Issue:
603(7899), P. 95 - 102
Published: Feb. 23, 2022
Genome-wide
association
studies
(GWAS)
have
identified
thousands
of
genetic
variants
linked
to
the
risk
human
disease.
However,
GWAS
so
far
remained
largely
underpowered
in
relation
identifying
associations
rare
and
low-frequency
allelic
spectrum
lacked
resolution
trace
causal
mechanisms
underlying
genes