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Draft)
(see
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Notes
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Responsible
Owner:
Clinical
Genomics
Work
Group
|
Standards Status : Trial Use |
The era of precision medicine-- an emerging approach for disease treatment and prevention that takes into account individual variability in genes, environment, and lifestyle for each person-- is upon us.
Precision
medicine
is
fueled
by
the
amazing
technological
advancements
in
genomics,
making
it
possible
(and
feasible)
to
undertake
broad
genetic
testing
on
an
individual
in
a
clinically
useful
timeframe.
Whereas
not
so
long
ago
genomics
was
primarily
of
concern
to
bioinformaticists
interacting
with
such
artifacts
as
alignment
(e.g.
(e.g.,
BAM,
CRAM)
and
variant
calling
(e.g.
(e.g.,
VCF)
data
files,
we
are
now
seeing
tremendous
interest
across
the
clinical
community
for
integrating
genomics
findings
and
recommendations
into
the
EHR
and
into
the
care
process.
To
that
end,
the
HL7
Clinical
Genomics
Work
Group
is
developing
a
set
of
standards
for
reporting
structured
genomic
data
using
FHIR.
An individual's genetic data set is large and complex, and therefore requires systems that can manage the size and make sense of the complexity. Unfortunately, due to a lack of widely adopted standards, these systems are often incompatible. A standards-based approach to data exchange that could be adopted to integrate both genetic data and clinical information systems will be crucial to accelerating the integration of precision medicine and to make sense of genetic testing results in a complete clinical context.
The
Clinical
Genomics
Work
Group
supports
the
HL7
mission
to
create
and
promote
its
standards
by
enabling
the
semantically
meaningful
exchange
of
data
between
parties
interested
in
clinical,
personal,
and
population
genomic
information
and
family
health
history,
which
are
required
to
support
precision
medicine.
The
committee's
work
products
include:
Genomics
Reporting
Implementation
Guide:
Standardizes
the
reporting
of
genomic
variants,
haplotypes,
genotypes,
variant
annotations,
and
more.
MolecularDefinition Resource: The MolecularDefinition resource represents molecular entities (e.g., nucleotide or protein sequences) for both clinical and non-clinical use cases, including translational research. The resource is definitional, in that it focuses on discrete, computable, and semantically expressive data structures that reflect the genomic domain. Because the resource focuses on the molecular entities rather than specimen source or annotated knowledge, it supports both patient/participant-specific use cases and population-based data, and both human and non-human data.
Molecular
Definition
Implementation
Guide
for
Molecular
Data
Types
is
an
emerging
product
that
includes
profiles
for
structured
representation
of
the
fundamental
concepts
such
as
Sequence
,
Allele
,
and
Variation
,
Haplotype
,
and
Genotype
.
This
guide
is
work
in
progress
and
will
evolve
to
represent
additional
concepts.
GenomicStudy Resource: A resource that aims at delineating relevant information of a genomic study. A genomic study might comprise one or more analyses, each serving a specific purpose. These analyses may vary in method (e.g., karyotyping, CNV, or SNV detection), performer, software, devices used, or regions targeted.
Uses
of
these
FHIR
artifacts
and
other
genomic
use
cases
can
be
found
here