Respiratory
failure
associated
with
COVID-19
has
placed
focus
on
the
lungs.
Here,
we
present
single-nucleus
accessible
chromatin
profiles
of
90,980
nuclei
and
matched
transcriptomes
46,500
in
non-diseased
lungs
from
donors
~30
weeks
gestation,~3
years
years.
We
mapped
candidate
Nucleic Acids Research,
Journal Year:
2020,
Volume and Issue:
49(D1), P. D437 - D451
Published: Nov. 17, 2020
Abstract
The
Research
Collaboratory
for
Structural
Bioinformatics
Protein
Data
Bank
(RCSB
PDB),
the
US
data
center
global
PDB
archive
and
a
founding
member
of
Worldwide
partnership,
serves
tens
thousands
depositors
in
Americas
Oceania
makes
3D
macromolecular
structure
available
at
no
charge
without
restrictions
to
millions
RCSB.org
users
around
world,
including
>660
000
educators,
students
members
curious
public
using
PDB101.RCSB.org.
include
structural
biologists
crystallography,
nuclear
magnetic
resonance
spectroscopy,
electron
microscopy
micro-electron
diffraction.
consumers
accessing
our
web
portals
researchers,
educators
studying
fundamental
biology,
biomedicine,
biotechnology,
bioengineering
energy
sciences.
During
past
2
years,
research-focused
RCSB
portal
(RCSB.org)
has
undergone
complete
redesign,
enabling
improved
searching
with
full
Boolean
operator
logic
more
facile
access
integrated
>40
external
biodata
resources.
New
features
resources
are
described
detail
examples
that
showcase
recently
released
structures
SARS-CoV-2
proteins
host
cell
relevant
understanding
addressing
COVID-19
pandemic.
Genome-wide
association
studies
(GWAS)
test
hundreds
of
thousands
genetic
variants
across
many
genomes
to
find
those
statistically
associated
with
a
specific
trait
or
disease.
This
methodology
has
generated
myriad
robust
associations
for
range
traits
and
diseases,
the
number
is
expected
grow
steadily
as
GWAS
sample
sizes
increase.
results
have
applications,
such
gaining
insight
into
phenotype's
underlying
biology,
estimating
its
heritability,
calculating
correlations,
making
clinical
risk
predictions,
informing
drug
development
programmes
inferring
potential
causal
relationships
between
factors
health
outcomes.
In
this
Primer,
we
provide
reader
an
introduction
GWAS,
explaining
their
statistical
basis
how
they
are
conducted,
describe
state-of-the
art
approaches
discuss
limitations
challenges,
concluding
overview
current
future
applications
results.
Uffelmann
et
al.
key
considerations
best
practices
conducting
genome-wide
(GWAS),
techniques
deriving
functional
inferences
from
in
understanding
disease
architecture.
The
Primer
also
provides
information
on
data
sharing
discusses
important
ethical
when
considering
populations
data.
Nature,
Journal Year:
2021,
Volume and Issue:
600(7889), P. 472 - 477
Published: July 8, 2021
The
genetic
make-up
of
an
individual
contributes
to
the
susceptibility
and
response
viral
infection.
Although
environmental,
clinical
social
factors
have
a
role
in
chance
exposure
SARS-CoV-2
severity
COVID-191,2,
host
genetics
may
also
be
important.
Identifying
host-specific
reveal
biological
mechanisms
therapeutic
relevance
clarify
causal
relationships
modifiable
environmental
risk
for
infection
outcomes.
We
formed
global
network
researchers
investigate
human
COVID-19
severity.
Here
we
describe
results
three
genome-wide
association
meta-analyses
that
consist
up
49,562
patients
with
from
46
studies
across
19
countries.
report
13
significant
loci
are
associated
or
severe
manifestations
COVID-19.
Several
these
correspond
previously
documented
associations
lung
autoimmune
inflammatory
diseases3-7.
They
represent
potentially
actionable
Mendelian
randomization
analyses
support
smoking
body-mass
index
although
not
type
II
diabetes.
identification
novel
was
made
possible
by
community
coming
together
prioritize
sharing
data,
results,
resources
analytical
frameworks.
This
working
model
international
collaboration
underscores
what
is
future
discoveries
emerging
pandemics,
indeed
any
complex
disease.
Nature Methods,
Journal Year:
2021,
Volume and Issue:
18(10), P. 1196 - 1203
Published: Oct. 1, 2021
Abstract
How
noncoding
DNA
determines
gene
expression
in
different
cell
types
is
a
major
unsolved
problem,
and
critical
downstream
applications
human
genetics
depend
on
improved
solutions.
Here,
we
report
substantially
prediction
accuracy
from
sequences
through
the
use
of
deep
learning
architecture,
called
Enformer,
that
able
to
integrate
information
long-range
interactions
(up
100
kb
away)
genome.
This
improvement
yielded
more
accurate
variant
effect
predictions
for
both
natural
genetic
variants
saturation
mutagenesis
measured
by
massively
parallel
reporter
assays.
Furthermore,
Enformer
learned
predict
enhancer–promoter
directly
sequence
competitively
with
methods
take
direct
experimental
data
as
input.
We
expect
these
advances
will
enable
effective
fine-mapping
disease
associations
provide
framework
interpret
cis
-regulatory
evolution.
Nature,
Journal Year:
2021,
Volume and Issue:
599(7886), P. 628 - 634
Published: Oct. 18, 2021
Abstract
A
major
goal
in
human
genetics
is
to
use
natural
variation
understand
the
phenotypic
consequences
of
altering
each
protein-coding
gene
genome.
Here
we
used
exome
sequencing
1
explore
protein-altering
variants
and
their
454,787
participants
UK
Biobank
study
2
.
We
identified
12
million
coding
variants,
including
around
loss-of-function
1.8
deleterious
missense
variants.
When
these
were
tested
for
association
with
3,994
health-related
traits,
found
564
genes
trait
associations
at
P
≤
2.18
×
10
−11
Rare
variant
enriched
loci
from
genome-wide
studies
(GWAS),
but
most
(91%)
independent
common
signals.
discovered
several
risk-increasing
traits
related
liver
disease,
eye
disease
cancer,
among
others,
as
well
risk-lowering
hypertension
(
SLC9A3R2
),
diabetes
MAP3K15
,
FAM234A
)
asthma
SLC27A3
).
Six
associated
brain
imaging
phenotypes,
two
involved
neural
development
GBE1
PLD1
Of
signals
available
powered
replication
an
cohort,
81%
confirmed;
furthermore,
generally
consistent
across
individuals
European,
Asian
African
ancestry.
illustrate
ability
identify
gene–trait
associations,
elucidate
function
pinpoint
effector
that
underlie
GWAS
scale.
Cell,
Journal Year:
2022,
Volume and Issue:
185(10), P. 1630 - 1645
Published: May 1, 2022
Atherosclerosis
is
an
inflammatory
disease
of
the
large
arteries
that
major
cause
cardiovascular
(CVD)
and
stroke.
Here,
we
review
current
understanding
molecular,
cellular,
genetic,
environmental
contributions
to
atherosclerosis,
from
both
individual
pathway
systems
perspectives.
We
place
emphasis
on
recent
developments,
some
which
have
yielded
unexpected
biology,
including
previously
unknown
heterogeneity
smooth
muscle
cells
in
atherosclerotic
lesions,
roles
for
senescence
clonal
hematopoiesis,
links
gut
microbiome.
Science,
Journal Year:
2020,
Volume and Issue:
369(6509)
Published: Sept. 10, 2020
Many
complex
human
phenotypes
exhibit
sex-differentiated
characteristics.
However,
the
molecular
mechanisms
underlying
these
differences
remain
largely
unknown.
We
generated
a
catalog
of
sex
in
gene
expression
and
genetic
regulation
across
44
tissue
sources
surveyed
by
Genotype-Tissue
Expression
project
(GTEx,
v8
release).
demonstrate
that
influences
levels
cellular
composition
samples
body.
A
total
37%
all
genes
sex-biased
at
least
one
tissue.
identify
cis
quantitative
trait
loci
(eQTLs)
with
effects
characterize
their
origin.
By
integrating
eQTLs
genome-wide
association
study
data,
we
58
gene-trait
associations
are
driven
single
sex.
These
findings
provide
an
extensive
characterization
transcriptome
its
regulation.
Nucleic Acids Research,
Journal Year:
2020,
Volume and Issue:
49(D1), P. D1046 - D1057
Published: Nov. 19, 2020
Abstract
For
more
than
two
decades,
the
UCSC
Genome
Browser
database
(https://genome.ucsc.edu)
has
provided
high-quality
genomics
data
visualization
and
genome
annotations
to
research
community.
As
field
of
grows
become
available,
new
modes
display
are
required
accommodate
technologies.
New
features
released
this
past
year
include
a
Hi-C
heatmap
display,
phased
family
trio
for
VCF
files,
various
track
improvements.
Striving
keep
up-to-date,
updates
gene
GENCODE
Genes,
NCBI
RefSeq
Ensembl
Genes.
tracks
added
human
mouse
genomes
ENCODE
registry
candidate
cis-regulatory
elements,
promoters
from
Eukaryotic
Promoter
Database,
Select
Matched
Annotation
EMBL-EBI
(MANE).
Within
weeks
learning
about
outbreak
coronavirus,
browser,
with
detailed
annotation
tracks,
SARS-CoV-2
RNA
reference
assembly.