Frontiers in Genetics,
Journal Year:
2021,
Volume and Issue:
12
Published: Nov. 8, 2021
Functional
foods
are
natural
products
of
plants
that
have
health
benefits
beyond
necessary
nutrition.
abundant
in
fruits,
vegetables,
spices,
beverages
and
some
found
cereals,
millets,
pulses
oilseeds.
Efforts
to
identify
functional
our
diet
their
beneficial
aspects
limited
few
crops.
Advances
sequencing
availability
different
omics
technologies
given
opportunity
utilize
these
tools
enhance
the
components
foods,
thus
ensuring
nutritional
security.
Integrated
approaches
including
genomics,
transcriptomics,
proteomics,
metabolomics
coupled
with
artificial
intelligence
machine
learning
can
be
used
improve
This
review
provides
insights
into
studies
carried
out
find
active
crop
improvement
by
enhancing
compounds
pulses,
oilseeds,
medicinal
plants.
There
is
a
need
characterize
being
traditional
medicines,
as
well
utilization
this
knowledge
staple
order
tackle
malnutrition
hunger
more
effectively.
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.
iScience,
Journal Year:
2022,
Volume and Issue:
25(2), P. 103798 - 103798
Published: Jan. 22, 2022
Multi-omics
data
analysis
is
an
important
aspect
of
cancer
molecular
biology
studies
and
has
led
to
ground-breaking
discoveries.
Many
efforts
have
been
made
develop
machine
learning
methods
that
automatically
integrate
omics
data.
Here,
we
review
tools
categorized
as
either
general-purpose
or
task-specific,
covering
both
supervised
unsupervised
for
integrative
multi-omics
We
benchmark
the
performance
five
approaches
using
from
Cancer
Cell
Line
Encyclopedia,
reporting
accuracy
on
type
classification
mean
absolute
error
drug
response
prediction,
evaluating
runtime
efficiency.
This
provides
recommendations
researchers
regarding
suitable
method
selection
their
specific
applications.
It
should
also
promote
development
novel
methodologies
integration,
which
will
be
essential
discovery,
clinical
trial
design,
personalized
treatments.
Fungal Diversity,
Journal Year:
2024,
Volume and Issue:
125(1), P. 1 - 71
Published: March 20, 2024
Abstract
The
field
of
mycology
has
grown
from
an
underappreciated
subset
botany,
to
a
valuable,
modern
scientific
discipline.
As
this
study
grown,
there
have
been
significant
contributions
science,
technology,
and
industry,
highlighting
the
value
fungi
in
era.
This
paper
looks
at
current
research,
along
with
existing
limitations,
suggests
future
areas
where
scientists
can
focus
their
efforts,
mycology.
We
show
how
become
important
emerging
diseases
medical
discuss
trends
potential
drug
novel
compound
discovery.
explore
phylogenomics,
its
potential,
outcomes
address
question
phylogenomics
be
applied
fungal
ecology.
In
addition,
functional
genomics
studies
are
discussed
importance
unravelling
intricate
mechanisms
underlying
behaviour,
interactions,
adaptations,
paving
way
for
comprehensive
understanding
biology.
look
research
building
materials,
they
used
as
carbon
sinks,
biocircular
economies.
numbers
always
great
interest
often
written
about
estimates
varied
greatly.
Thus,
we
needs
order
obtain
more
reliable
estimates.
aspects
machine
learning
(AI)
it
mycological
research.
Plant
pathogens
affecting
food
production
systems
on
global
scale,
such,
needed
area,
particularly
disease
detection.
latest
data
High
Throughput
Sequencing
if
still
gaining
new
knowledge
same
rate
before.
A
review
nanotechnology
is
provided
addressed.
Arbuscular
Mycorrhizal
Fungi
addressed
acknowledged.
Fungal
databases
becoming
important,
therefore
provide
major
databases.
Edible
medicinal
huge
medicines,
especially
Asia
prospects
discussed.
Lifestyle
changes
(e.g.,
endophytes,
pathogens,
and/or
saprobes)
also
extremely
trend
special
issue
Diversity.
Cancer Research,
Journal Year:
2021,
Volume and Issue:
81(17), P. 4618 - 4627
Published: July 28, 2021
Abstract
Cancer
site–specific
polygenic
risk
scores
(PRS)
effectively
identify
individuals
at
high
of
individual
cancers,
but
the
effectiveness
PRS
on
overall
cancer
assessment
and
extent
to
which
a
genetic
can
be
offset
by
healthy
lifestyle
remain
unclear.
Here,
we
constructed
an
incidence-weighted
score
(CPRS)
based
20
site-specific
PRSs.
Lifestyle
was
determined
according
smoking,
alcohol
consumption,
physical
activity,
body
mass
index,
diet.
Cox
regression
sex
used
analyze
associations
factors
with
incidence
using
UK
Biobank
data
(N
=
442,501).
Compared
participants
low
(bottom
quintile
CPRS),
those
intermediate
(quintiles
2
4)
or
(top
quintile)
had
HRs
1.27
(95%
confidence
interval,
1.21–1.34)
1.91
(1.81–2.02)
for
cancer,
respectively,
men,
1.21
(1.16–1.27)
1.62
(1.54–1.71),
women.
A
joint
effect
observed,
reaching
2.99
(2.45–3.64)
men
2.38
(2.05–2.76)
women
unfavorable
compared
favorable
lifestyle.
Among
risk,
standardized
5-year
significantly
reduced
from
7.23%
5.51%
5.77%
3.69%
having
In
summary,
identified
CPRS,
attenuated
adopting
Significance:
new
indicator
measures
could
facilitate
decision-making
about
modifications
personalized
prevention.
