Research Square (Research Square),
Journal Year:
2023,
Volume and Issue:
unknown
Published: July 20, 2023
Abstract
Introduction:
The
International
Study
Group
for
Systemic
Autoinflammatory
Diseases
(INSAID)
consensus
criteria
revealed
that
the
clinical
outcomes
of
more
than
half
MEFV
gene
variants
are
uncertain.
In
this
study,
we
estabilished
a
novel
approach
accurate
classification
by
using
optimal
number
amino
acid
prediction
scores
and
machine-learning
algorithms.
Our
goal
was
to
determine
while
also
reducing
uncertainties.
Material-Methods:
We
extracted
from
infevers
database
,and
point
mutations
were
included,
others
excluded
study.
then
determined
in
silico
instruments
our
model.
On
training
dataset,
implemented
seven
machine
learning
algorithms
on
with
known
effects.
evaluated
effectiveness
model
three
steps:
First,
performed
dataset
those
accuracy
greater
90
percent.
Second,
compared
results
existing
studies.
Third,
functional
level.
Results
included
266
381
four
computational
tools
algorithm
classified
Likely
pathogenic
(LP)
an
96.6%
classifying
97.6%
Benign
(LB)
variants.
Among
methods
used
classify
variants,
method
yielded
most
datasets.
Most
predictors
LB
higher
90%
however,
LP
showed
wide
range
variety
between
2%
−
62.5%.
Disease-causing
frequently
located
domains.
Functional
level
evaluation
compatible
results.
Discussion
comparison
indicated
variant
is
biggest
problem
classification,
might
be
candidate
solving
96.67%
accuracy.
Considering
60%
effects
unresolved,
evaluating
conjunction
manifestations
patients
significantly
simplifies
interpretation
unknown
Genes,
Journal Year:
2024,
Volume and Issue:
15(3), P. 332 - 332
Published: March 4, 2024
The
mechanistic
target
of
rapamycin
(mTOR)
pathway
serves
as
a
master
regulator
cell
growth,
proliferation,
and
survival.
Upregulation
the
mTOR
has
been
shown
to
cause
malformations
cortical
development,
medically
refractory
epilepsies,
neurodevelopmental
disorders,
collectively
described
mTORopathies.
Tuberous
sclerosis
complex
(TSC)
prototypical
mTORopathy.
Characterized
by
development
benign
tumors
in
multiple
organs,
pathogenic
variants
TSC1
or
TSC2
disrupt
TSC
protein
complex,
negative
pathway.
Variants
critical
domains
especially
catalytic
subunit,
correlate
with
increased
disease
severity.
less
crucial
exons
non-coding
regions,
well
those
undetectable
conventional
testing,
may
lead
milder
phenotypes.
Despite
assumption
complete
penetrance,
expressivity
varies
within
families,
certain
delay
onset
neurological
effects.
Understanding
these
genotype–phenotype
correlations
is
for
effective
clinical
management.
Notably,
15%
patients
have
no
mutation
identified
genetic
majority
cases
postulated
be
caused
somatic
TSC1/TSC2
which
present
diagnostic
challenges.
Advancements
prenatal
screening,
precision
medicine
hold
promise
changing
treatment
paradigm
related
Herein,
we
explore
molecular
mechanisms
other
mTORopathies,
emphasizing
contemporary
methods
understanding
diagnosing
condition.
International Journal of Molecular Sciences,
Journal Year:
2025,
Volume and Issue:
26(2), P. 815 - 815
Published: Jan. 19, 2025
Epilepsy
affects
50
million
people
worldwide
and
is
drug-resistant
in
approximately
one-third
of
cases.
Even
when
a
structural
lesion
identified
as
the
epileptogenic
focus,
understanding
underlying
genetic
causes
crucial
to
guide
both
counseling
treatment
decisions.
Both
somatic
germline
DNA
variants
may
contribute
itself
and/or
influence
severity
symptoms.
We
therefore
used
whole
exome
sequencing
(WES)
search
for
potentially
pathogenic
brain
samples
from
children
with
lesional
epilepsy
who
underwent
surgery.
WES
was
performed
on
20
paired
extracted
tissue
reference
same
patient,
such
leukocytes
or
fibroblasts.
The
data
were
jointly
analyzed
using
GATK
Mutect2
identify
single
nucleotide
(SNVs)
insertions/deletions
(InDels),
which
subsequently
evaluated
silico
their
disease-causing
potential
MutationTaster2021.
known
five
patients
(25%)
variant
allele
frequencies
(VAF)
ranging
3–35%
genes
MTOR,
TSC2,
PIK3CA,
FGFR1,
PIK3R1
cortical
malformations
central
nervous
system
(CNS)
tumors.
Depending
VAF,
we
different
methods
Sanger
sequencing,
allele-specific
qPCR,
targeted
ultra-deep
(amplicon
sequencing)
confirm
variant.
In
contrast
usually
straightforward
confirmation
variants,
validation
more
challenging
because
current
have
limitations
sensitivity,
specificity,
cost-effectiveness.
our
study,
additional
candidates
VAFs
0.7–7.0%
that
could
not
be
validated
by
an
orthogonal
method.
This
highlights
importance
validation,
especially
those
very
low
frequencies.
Neurobiology of Disease,
Journal Year:
2023,
Volume and Issue:
181, P. 106104 - 106104
Published: March 25, 2023
Over
the
past
decade,
there
has
been
tremendous
progress
in
understanding
brain
somatic
mosaicism
epilepsy
research
setting.
Access
to
resected
tissue
samples
from
patients
with
medically
refractory
undergoing
surgery
key
making
these
discoveries.
In
this
review,
we
discuss
gap
between
discoveries
setting
and
bringing
results
back
clinical
Current
genetic
testing
mainly
uses
clinically
accessible
samples,
like
blood
saliva,
can
detect
inherited
de
novo
germline
variants
potentially
non-brain-limited
mosaic
that
have
resulted
post-zygotic
mutation
(also
called
"somatic
mutations").
Methods
developed
brain-limited
using
need
be
further
translated
validated
setting,
which
will
allow
post-resection
diagnoses.
However,
obtaining
a
diagnosis
after
for
focal
epilepsy,
when
are
available,
is
arguably
"too
late"
guide
precision
management.
Emerging
methods
cerebrospinal
fluid
(CSF)
stereoelectroencephalography
(SEEG)
electrodes
hold
promise
establishing
diagnoses
pre-resection
without
actual
tissue.
parallel,
development
of
curation
rules
interpreting
pathogenicity
variants,
unique
considerations
compared
assist
accredited
laboratories
geneticists
Returning
their
families
end
diagnostic
odyssey
advance
Orphanet Journal of Rare Diseases,
Journal Year:
2024,
Volume and Issue:
19(1)
Published: May 22, 2024
Vascular
anomalies
caused
by
somatic
(postzygotic)
variants
are
clinically
and
genetically
heterogeneous
diseases
with
overlapping
or
distinct
entities.
The
genetic
knowledge
in
this
field
is
rapidly
growing,
testing
now
part
of
the
diagnostic
workup
alongside
clinical,
radiological
histopathological
data.
Nonetheless,
access
to
still
limited,
there
significant
heterogeneity
across
approaches
used
laboratories,
direct
consequences
on
test
sensitivity
accuracy.
clinical
utility
expected
increase
progressively
improved
theragnostics,
which
will
be
based
information
about
efficacy
safety
emerging
drugs
future
molecules.
aim
study
was
make
recommendations
for
optimising
guiding
patients
vascular
malformations.
Physicians
lab
specialists
from
11
multidisciplinary
European
centres
reviewed
genes
identified
date
as
being
involved
non-hereditary
malformations,
evaluated
gene-disease
associations,
made
technical
aspects
identification
low-level
mosaicism
variant
interpretation.
A
core
list
24
were
selected
current
practices
participating
ISSVA
classification
literature.
In
total
45
gene-phenotype
associations
evaluated:
16
considered
definitive,
strong,
3
moderate,
7
limited
no
evidence.
This
work
provides
a
detailed
evidence-based
view
malformations
variants.
Knowing
both
relationships
strength
greatly
help
laboratories
data
interpretation
eventually
diagnosis.
reflects
state
mid-2023
regularly
updated
VASCERN-VASCA
website
(VASCERN-VASCA,
https://vascern.eu/groupe/vascular-anomalies/
).
Journal of Intelligent Systems Theory and Applications,
Journal Year:
2025,
Volume and Issue:
8(1), P. 35 - 46
Published: March 13, 2025
Objective:
There
are
a
limited
number
of
pathogenic
variants
known
in
the
MEFV
gene.
In
silico
tools
fail
to
classify
many
gene
variants.
Therefore,
it
is
essential
implement
novel
approaches.
Our
goal
develop
new
strategy
solve
even
classification
problem
while
improving
variant
prediction
accuracy
using
small
datasets.
Material
-
methods:
First,
we
determined
optimal
computational
for
model.
We
then
applied
eight
distinct
ML
algorithms
on
training
dataset
containing
tools.
initiated
application
modified
hard
voting
machine
learning
algorithms,
and
validation
dataset.
Subsequently,
implemented
comparative
analysis
between
results
existing
studies.
Finally,
evaluated
protein
level
ascertainment
identify
hotspot
regions.
Results:
The
ensemble
classifier
scored
an
average
ROCAUC
88%.
method
correctly
classified
all
with
82%
accuracy,
outperforming
both
soft
(75%)
(70%)
methods.
showed
that
prevalence
LP
was
approximately
2.5
times
higher
domains
compared
LB
variants(χ2:
13.574,
p
<
0.001,
OR:
2.509
[1.532-4.132]).
Conclusion:
Considering
understanding
clinical
implications
associated
mutations,
employing
approach
may
improve
Clinical Genetics,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 21, 2024
ABSTRACT
Disorders
of
somatic
mosaicism
(DoSMs)
are
rare
genetic
disorders
arising
from
postzygotic
alteration
leading
to
segmental/nonsegmental
disease.
Current
professional
guidelines
for
standardized
variant
interpretation
focus
on
germline
and
cancer
variants,
making
them
suboptimal
DoSM
interpretation.
The
Brain
Malformations
Variant
Curation
Expert
Panel
(BMVCEP)
modified
existing
account
brain‐specific
mosaicism,
but
applicability
other
presentations
is
limited.
At
Washington
University
in
St.
Louis
School
Medicine,
we
have
adopted
the
BMVCEP
framework
suggested
alterations
that
make
it
more
suitable
generalized
classification.
These
modifications
include
(1)
expanding
beyond
genes
associated
with
brain
malformations,
(2)
introduction
a
criterion
interpret
truncating
variants
at
C‐terminus
gain
function
genes,
(3)
establishment
allele
fraction
(VAF)
cutoff
applying
de
novo
criteria,
(4)
demonstration
silico
prediction
tools
relevant
missense
variants.
Furthermore,
reduce
number
classified
as
uncertain.
classification
considerations
propose
potential
improve
accuracy
classification,
better
inform
clinical
care,
may
benefit
laboratories
also
conducting
testing.
Epilepsia,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 26, 2024
We
studied
the
distribution
of
germline
and
somatic
variants
in
epilepsy
surgery
patients
with
(suspected)
malformations
cortical
development
(MCD)
who
underwent
between
2015
2020
at
University
Medical
Center
Utrecht
(the
Netherlands)
pooled
our
data
four
previously
published
cohort
studies.
Tissue
analysis
yielded
a
pathogenic
variant
203
663
(31%)
combined
cases.
In
126
379
(33%)
focal
dysplasia
(FCD)
type
II
cases
23
37
(62%)
hemimegalencephaly
cases,
was
identified,
mostly
involving
mTOR
signaling
pathway.
Pathogenic
10
genes
were
found
48
178
(27%)
FCDI/mild
MCD/mMCD
oligodendroglial
hyperplasia
cases;
36
these
(75%)
SLC35A2
variants.
Six
69
(9%)
without
histopathological
lesion
had
(n
=
5)
or
DEPDC5
1).
A
blood
DNA
confirmed
all
tissue,
allele
frequency
(VAF)
~50%.
seven
114
(6%)
mosaicism
detected.
More
than
half
VAF
<
5%.
Further
correlation
genetic
surgical
outcomes
will
improve
patient
counseling
may
guide
postoperative
treatment
decisions.
British Journal of Dermatology,
Journal Year:
2024,
Volume and Issue:
191(2), P. 303 - 305
Published: April 16, 2024
Here
we
report
19
additional
patients
with
PIK3R1
mosaic
variants
clinical
phenotyping,
showing
that
the
phenotype
is
indistinguishable
from
PIK3CA-related
phenotypes,
although
megalencephaly-capillary
malformation
consistently
absent
in
variants.
We
also
novel
consider
meaning
of
PROS
should
shift
‘PIK3CA-related
overgrowth
spectrum’
to
‘PI3-kinase-related
spectrum’.