Policy for Sharing of Data Obtained in NIH Supported or Conducted Genome-Wide Association Studies (GWAS), 49290-49297 [E7-17030]
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Federal Register / Vol. 72, No. 166 / Tuesday, August 28, 2007 / Notices
the diagnostic classification of cancers
based on gene expression profiling data
derived from cDNA microarrays. The
ANNs were first trained to be used as
models, and then correctly classified all
samples tested and identified the genes
most relevant to the classification. Their
study demonstrated the potential
applications of these methods for tumor
diagnosis and for the identification of
candidate targets for therapy. The
uniqueness of this method is taking
gene expression data generated by
microarrays, minimizing the genes from
the original 1000s to less than 100,
identifying which genes are the most
relevant to a classification, which gives
an immediate clue to the actual
biological processes involved, not just
surrogate markers which have no
bearing on the biology.
The field of use may be limited to
‘‘FDA Cleared Pediatric Cancer
Diagnostics and Prognostics’’.
Properly filed competing applications
for a license filed in response to this
notice will be treated as objections to
the contemplated license. Comments
and objections submitted in response to
this notice will not be made available
for public inspection, and, to the extent
permitted by law, will not be released
under the Freedom of Information Act,
5 U.S.C. 552.
Dated: August 20, 2007.
Steven M. Ferguson,
Director, Division of Technology Development
and Transfer, Office of Technology Transfer,
National Institutes of Health.
[FR Doc. E7–16930 Filed 8–27–07; 8:45 am]
BILLING CODE 4140–01–P
DEPARTMENT OF HEALTH AND
HUMAN SERVICES
National Institutes of Health
Prospective Grant of Exclusive
License: Method for Determining the
Redox Status of a Tissue
National Institutes of Health,
Public Health Service, HHS.
ACTION: Notice.
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AGENCY:
SUMMARY: This is notice, in accordance
with 35 U.S.C. 209(c)(1) and 37 CFR
404.7(a)(1)(I), that the National
Institutes of Health (NIH), Department
of Health and Human Services, is
contemplating the grant of an exclusive
license to practice the inventions
embodied in: PCT Application No. PCT/
US2006/031208 (E–258–2005/0–PCT–
02) filed August 10, 2006 claiming
priority to U.S. Provisional Application
No. 60/707,518 (E–258–2005/0–US–01),
titled ‘‘Method for Determining the
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Redox Status of a Tissue’’ (Inventors: Dr
James Mitchell et al.) to Mitos
Pharmaceutical, Inc. (hereafter Mitos),
having a place of business in Newport
Beach, California. The patent rights in
these inventions have been assigned to
the United States of America.
DATES: Only written comments and/or
application for a license, which are
received by the NIH Office of
Technology Transfer on or before
October 29, 2007 will be considered.
ADDRESSES: Requests for a copy of the
patent application, inquiries, comments
and other materials relating to the
contemplated license should be directed
to: Chekesha Clingman, PhD, Office of
Technology Transfer, National Institutes
of Health, 6011 Executive Boulevard,
Suite 325, Rockville, MD 20852–3804;
e-mail: clingmac@mail.nih.gov;
Telephone: (301) 435–5018; Facsimile:
(301) 402–0220.
SUPPLEMENTARY INFORMATION: The
present invention relates to a method of
determining the redox status of tissues
by administering a cell-permeable
nitroxide, such as 4-hydroxy-2,2,6,6tetramethylpiperidine-1-oxyl (or
Tempol), as a contrast agent and
employing magnetic resonance imaging
(MRI). Also provided by the invention
are a method for diagnosing a tumor and
other pathologies associated with
oxidative stress and a method for
determining a cancer treatment
protocol. Tumor tissues exhibit viable
but hypoxic regions that allow them to
reduce nitroxide compounds more
efficiently than normal tissue. The
paramagnetic relaxivity of nitroxide
compounds makes it possible to use
standard MRI scanners to determine the
redox status of tissue in vivo. By
determining the redox status of a tumor
it is possible to not only diagnose a
tumor due to its enhanced reduction of
intracellular nitroxide contrast agent,
but also to determine appropriate
radiation treatment fields spatially to
deliver therapeutic doses of radiation,
and to determine appropriate timing
sequences after the administration of a
nitroxide contrast agent such that the
maximum difference between normal
and tumor tissue with respect to the
radioprotective form of the nitroxide is
present in the normal tissue, thereby
limiting collateral damage to the normal
tissue.
The prospective exclusive license will
be royalty bearing and will comply with
the terms and conditions of 35 U.S.C.
209 and 37 CFR 404.7. The prospective
exclusive license may be granted unless,
within 60 days from the date of this
published Notice, NIH receives written
evidence and argument that establishes
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that the grant of the license would not
be consistent with the requirements of
35 U.S.C. 209 and 37 CFR 404.7.
The field of use may be limited to
methods for determining the redox
status of tissues by utilizing nitroxide
contrast agents in combination with
MRI for diagnosis of cancer and other
pathologies.
Properly filed competing applications
for a license filed in response to this
notice will be treated as objections to
the contemplated license. Comments
and objections submitted in response to
this notice will not be made available
for public inspection, and, to the extent
permitted by law, will not be released
under the Freedom of Information Act,
5 U.S.C. 552.
Dated: August 20, 2007.
Steven M. Ferguson,
Director, Division of Technology Development
and Transfer, Office of Technology Transfer,
National Institutes of Health.
[FR Doc. E7–16931 Filed 8–27–07; 8:45 am]
BILLING CODE 4140–01–P
DEPARTMENT OF HEALTH AND
HUMAN SERVICES
National Institutes of Health
Policy for Sharing of Data Obtained in
NIH Supported or Conducted GenomeWide Association Studies (GWAS)
AGENCY:
National Institutes of Health,
HHS.
ACTION:
Notice.
Background
The NIH is interested in advancing
genome-wide association studies
(GWAS) to identify common genetic
factors that influence health and
disease. For the purposes of this policy,
a genome-wide association study is
defined as any study of genetic variation
across the entire human genome that is
designed to identify genetic associations
with observable traits (such as blood
pressure or weight), or the presence or
absence of a disease or condition.1
Whole genome information, when
combined with clinical and other
phenotype data, offers the potential for
increased understanding of basic
biological processes affecting human
health, improvement in the prediction
of disease and patient care, and
1 To meet the definition of a GWAS, the density
of genetic markers and the extent of linkage
disequilibrium should be sufficient to capture (by
the r2 parameter) a large proportion of the common
variation in the genome of the population under
study, and the number of samples (in a case-control
or trio design) should provide sufficient power to
detect variants of modest effect.
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ultimately the realization of the promise
of personalized medicine. In addition,
rapid advances in understanding the
patterns of human genetic variation and
maturing high-throughput, cost-effective
methods for genotyping are providing
powerful research tools for identifying
genetic variants that contribute to health
and disease.
For these reasons, the NIH announced
in May 2006 that it planned to: (1)
Update NIH data sharing policies for
research applications involving GWAS
data; (2) initiate a public consultation
process to inform policy development
activities; and (3) track GWAS
applications and awards at a central
level (NOT–OD–06–071—https://
grants.nih.gov/grants/guide/notice-files/
NOT-OD-07-071.html). A call for public
comments on a proposed GWAS policy
was issued on August 30, 2006 (NOT–
OD–06–094—https://grants.nih.gov/
grants/guide/notice-files/NOT-OD-06094.html). Between August 30 and
November 30, 2006, the NIH solicited
public comments from a range of public
sectors (see Preamble below). Following
the comment period, NIH convened a
Town Hall Meeting in Bethesda,
Maryland, on December 14, 2006, to
provide an opportunity for direct
interaction with interested stakeholders
on the important policy questions raised
through the proposed policy (NOT–OD–
06–022—https://grants.nih.gov/grants/
guide/notice-files/NOT-OD-06022.html).
This Notice provides the NIH
response to the public comments
received during the public consultation
activities and presents the revised
GWAS policy developed by the NIH in
response to the feedback received and
further internal development of the
issues. The policy addresses (1) Data
sharing procedures, (2) data access
principles, (3) intellectual property, and
(4) issues regarding the protection of
research participants through all phases
of GWAS. Many of the principles
contained in the policy reflect existing
NIH polices and other NIH discussions.
The goal of the policy is to advance
science for the benefit of the public
through the creation of a centralized
NIH GWAS data repository. Maximizing
the availability of resources facilitates
research and enables medical science to
better address the health needs of
people based on their individual genetic
information.
Protecting Research Participants
The potential for public benefit to be
achieved through sharing GWAS data is
significant. However, genotype and
phenotype information generated about
individuals, such as data related to the
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presence or risk of developing particular
diseases or conditions and information
regarding paternity or ancestry, may be
sensitive. Therefore, protecting the
privacy of the research participants and
the confidentiality of their data is
critically important. Risks to
individuals, groups, or communities
should be balanced carefully with
potential benefits of the knowledge to be
gained through GWAS. The sensitive
nature of GWAS information about
participants and the broad data
distribution goals of the NIH GWAS
data repository highlight the importance
of the informed consent process to this
research.
The NIH recognizes that scientific,
ethical and societal issues relevant to
this policy are evolving, and the agency
has established on-going mechanisms to
oversee GWAS policy implementation
across the agency and to monitor whole
genome association data use practices.
The NIH will revisit and revise the
policy and related practices as
appropriate.
Preamble: Summary of Public
Comments on Proposed Policy
On August 30, 2006, the NIH
published the Proposed Policy for
Sharing of Data Obtained in NIH
Supported or Conducted Genome-Wide
Association Studies (GWAS) (https://
grants.nih.gov/grants/guide/notice-files/
NOT-OD-06-094.html) for public
comment in the Federal Register and
the NIH Guide for Grants and Contracts.
The comment period ended with a
Town Hall meeting held in Bethesda,
Maryland on December 14, 2006, that
was attended by a total of 374 people
(on-site and via webcast).
Overall the NIH received 196 written
comments from professional societies,
patient advocacy groups, privacy
groups, individual scientists, and
private citizens. The comments reflected
a variety of interests and perspectives.
In developing policies, the NIH strives
to be respectful of the diversity of
individual and group interests,
incorporating appropriate protections
while promoting maximum public
benefit from the research it sponsors.
The NIH GWAS policy and its
implementation are expected to evolve
in response to advances in scientific
knowledge, available technologies, and
the legal and ethical issues they raise.
I. Rationale for a Centralized Data
Repository
Respondents asked for clarification of
the rationale for creation of a central
data repository instead of distributed
repositories under the control of
individual (and non-governmental)
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institutions and investigators. Concerns
expressed about a central data
repository included, for example, the
resources required to maintain it and
the extent to which it would duplicate
efforts and resources already invested
by multiple institutions.
The advantages and limitations of
central versus distributed data
repositories have been discussed
extensively at the NIH. From a scientific
standpoint, a central repository offers a
number of important advantages:
Tighter and more consistent control
over the standards and quality of the
genotype and phenotype data included;
the ability to standardize and update
terminology and format as technology
and methodology improve; consistent,
defined and transparent security and
standards for access to data; a long-term
commitment to maintenance of data
after studies have been completed; a
common point of entry for all
investigators who use the data; a
consistent and defined approach to
removal of data in the event of
withdrawal of participant consent;
facilitation of meta-analyses and
analyses that use data from multiple
studies; and the ability to implement
consistent participant protections at the
level of data submission and data
access. Individual investigators and
many institutions may lack sufficient
resources to ensure consistency and
quality control, or a long-term
commitment to data storage and access.
One of the potential disadvantages of a
central repository residing at NIH is that
the data may be accessible through the
Federal Freedom of Information Act
(FOIA), unless they are exempt from
release under one of the FOIA
exemptions. This is further discussed in
the Protection of Research Participants
section below.
As clinical and genomics research
progresses, genotype and phenotype
data are being collected into databases
maintained by a variety of investigators,
studies, and institutions. The NIH is
concerned that the present situation
may provide less consistent standards
for the protection of research
participants, data quality, and data
access than would a central repository.
However, the NIH recognizes that other
databases will be designed to achieve
different scientific aims or to integrate
different analytic capacities, and the
NIH GWAS policy is not intended to
constrain the development of such
databases or to curtail the deposition of
NIH-supported GWAS data into other
databases (as may be appropriate or
required for some research programs).
Among the on-going charges to the
trans-NIH Technical Standards Steering
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Committee established through the
GWAS governance structure (see
Oversight and Governance section
below) will be explicit consideration of
the evolving technical capacities and
interoperability needed to facilitate the
submission of data into the NIH GWAS
data repository 2 through other major
database systems (e.g., the NCI caBIG
network). This committee also will
provide a forum for inter-IC
coordination of data structures and
standards to maintain interoperability of
NIH databases.
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II. Protection of Research Participants
Non-Research Use of Data
Respondents noted that data held by
the Government are subject to the FOIA,
and thus could be obtained outside of
the Controlled Access data request
process described in the GWAS policy.
Respondents expressed concern that
data could be obtained for non-research
purposes (e.g., by law enforcement
agencies, employers, or insurance
companies) or for purposes beyond the
scope of the research uses envisioned
within the GWAS policy.
As an agency of the Federal
Government, the NIH is required to
release Government records in response
to a request under the FOIA, unless they
are exempt from release under one of
the FOIA exemptions. Although the
NIH-held data will be coded and the
NIH will not hold direct identifiers to
individuals within the NIH GWAS data
repository, the agency recognizes the
personal and potentially sensitive
nature of the genotype-phenotype data.
Further, the NIH takes the position that
technologies available within the public
domain today, and technological
advances expected over the next few
years, make the identification of specific
individuals from raw genotypephenotype data feasible and
increasingly straightforward.
The agency believes that release of
unredacted GWAS datasets in response
to a FOIA request would constitute an
unreasonable invasion of personal
privacy under FOIA Exemption 6, 5
U.S.C. 552(b)(6). Therefore, among the
safeguards that the NIH foresees using to
preserve the privacy of research
participants and confidentiality of
genomic data is the redaction of
individual-level genotype and
phenotype data from disclosures made
in response to FOIA requests and the
denial of requests for unredacted
datasets.
2 Currently named the NIH database of Genotypes
and Phenotypes (dbGaP) (https://
www.ncbi.nlm.nih.gov/entrez/query/Gap/gap_tmpl/
about.html).
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In addition, the NIH acknowledges
that legitimate requests for access to
data made by law enforcement offices to
the NIH may be fulfilled. The NIH will
not possess direct identifiers within the
NIH GWAS data repository, nor will the
NIH have access to the link between the
data keycode and the identifiable
information that may reside with the
primary investigators and institutions
for particular studies. The release of
identifiable information may be
protected from compelled disclosure by
the primary investigator’s institution if
a Certificate of Confidentiality is or was
obtained for the original study. Within
the final GWAS policy, the NIH
explicitly encourages investigators to
consider the potential appropriateness
of obtaining a Certificate of
Confidentiality as an added measure of
protection against future compelled
disclosure of identities for studies
planning to collect genome-wide
association data.
Stigmatization
Respondents commented that some
data to be included in the repository
may be highly sensitive because they
may suggest the existence either of
individually identifiable or socially
undesirable traits. These data have
implications for both participants and
family members.
Tools for analysis of genomic data
increasingly are able to make inferences
about some individual traits (e.g.,
height, weight, skin and hair and eye
color) and to identify predilections for
characteristics (e.g., risk of developing
some diseases) and behaviors with
social stigma. In recognition of these
risks, the NIH policy includes steps to
protect the interests and privacy
concerns of individuals, families and
identifiable groups who participate in
GWAS research. The NIH is asking
institutions submitting GWAS datasets
to certify that an Institutional Review
Board (IRB) and/or Privacy Board (as
applicable) has considered such risks
and that investigators have stripped the
data of all identifiers before the data are
submitted. The NIH Data Access
Committees (DACs) will approve access
only for research uses that are consistent
with an individual’s consent as defined
by the submitting institution. In
addition, in the event that requests raise
questions or concerns related to privacy
and confidentiality, risks to populations
or groups, or other relevant topics, the
DACs will consult with other experts as
appropriate.
Informed Consent
Respondents asked for clarification
regarding appropriate informed consent
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processes and consent documentation
for individuals participating in studies
for which data are to be submitted to the
NIH GWAS data repository. Concern
was raised that participants may not be
aware of the potential privacy risks
associated with placement of their
genotype and phenotype data in a
central repository at the NIH.
Respondents also commented that
adequate consent for data sharing
requires participants to understand both
the risks and potential benefits of the
proposed sharing. Key stakeholders in
these considerations are: Research
participants (both those who have
participated in on-going or prior studies
for which GWAS were not anticipated
and those who may participate in
prospective GWAS); investigators
developing informed consent processes;
institutions approving the submission of
datasets to the NIH GWAS data
repository; and IRBs asked to review
studies proposing genome-wide
association analysis. Respondents
commented that additional institutional
resources are likely to be required if
additional consent is needed for data
sharing.
As noted elsewhere and reflected in
the GWAS oversight structure
established to manage implementation
of the GWAS policy (see Oversight and
Governance section below), the NIH
recognizes that the ethical
considerations relevant to GWAS data
sharing are complex and dynamic.
Therefore, the NIH is developing
informational materials as a resource for
IRBs and institutions for their
consideration of the issues relevant to
reviewing and approving individual
studies proposing data submission to
the NIH GWAS data repository. The NIH
intends to continue to engage the Office
for Human Research Protections, the
research community, and the public to
explore the participant protection issues
related to GWAS and to identify best
practices for the consideration and riskbenefit analysis of genotype and
phenotype data sharing under this
policy. These efforts will include
discussion of the optimal methods for
communicating with participants about
relevant issues through the informed
consent process for prospective studies,
and discussion of issues to consider in
the institutional review of consent
materials for use of existing samples or
data proposed for GWAS. Participant
interests relevant to GWAS data sharing
extend beyond individual participants
to families, communities, and their
respective cultural sensitivities. The
NIH believes that institutional
deliberations regarding data submission
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to the NIH GWAS data repository
should include these broader interests.
Further, especially complex issues exist
with regard to GWAS where participant
consent has been provided by proxy
(e.g., pediatric research or some studies
involving mental health disorders).
Discussion of this topic will be included
in the informational materials 3 that the
NIH is developing for submitting
institutions and IRBs asked to review
proposed GWAS.
The GWAS policy applies to genomewide association research utilizing
genetic materials and data collected
both prospectively and retrospectively.
For prospective studies, in which
GWAS are conceived within the study
designs at the time research participants
provide their consent, the NIH expects
specific discussion within the informed
consent process and documentation that
participants’ genotype and phenotype
data will be shared for research
purposes through the NIH GWAS data
repository. For retrospective studies
performed using existing genetic
materials and previously collected data,
the NIH anticipates considerable
variation in the extent to which data
sharing and future genetic research have
been addressed within the informed
consent documents. As described in the
policy, the submitting institution will
determine whether a study is
appropriate for submission to the NIH
GWAS data repository (including an IRB
and/or Privacy Board review of specific
study elements, such as participant
consent). The NIH anticipates that a
number of GWAS proposing to include
pre-existing data or samples may require
additional consent of the research
participants. The NIH may give
programmatic consideration to requests
for funds or other resources needed to
conduct additional participant consent
when appropriate.
In the event that participants
withdraw consent for sharing of their
individual-level genotype and
phenotype data through the NIH GWAS
data repository, the submitting
institution will be responsible for
alerting the NIH GWAS data repository
and requesting that the specific record
be removed from future data
distributions. However, data that have
been distributed to researchers will not
be retracted.
3 The NIH anticipates releasing additional GWAS
implementation documents, including a Points to
Consider document on informed consent issues
related to the submission of data to the repository.
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Return of Results
Respondents asked for clarification of
plans for return of results to study
participants.
The NIH does not anticipate that
participants will be able to obtain
individual results of secondary analyses
on data obtained from their
participation in primary studies.
Because the NIH GWAS data repository
and secondary data users will not have
access to identifying information or to
the link to the keycode within the data,
neither will be able to return individual
results directly to subjects. Secondary
investigators may share their findings
with primary investigators, who may
determine whether it is appropriate to
return individual or aggregate research
results to participants whose health may
be affected, following established
institutional procedures (e.g., IRB
approval) and specific parameters
defined within the original study.
Oversight and Governance of the NIH
GWAS Data Repository, Submission and
Access
Some respondents commented on the
importance of adequate oversight of
policies for data submission and access,
and on the details of the repository. A
need for oversight of the quality control
measures for genotype and phenotype
data and of the security measures for
the repository was noted by many
respondents. Some respondents
commented on the importance of the
policies established by the Data Access
Committees, and their function within
the Institutes and Centers.
The NIH has developed a governance
structure for GWAS that provides
oversight tailored to the specific role
involved. The NIH Director will oversee
the GWAS policy and its
implementation. In carrying out this
responsibility, the NIH Director will be
informed by a Senior Oversight
Committee composed of Institute and
Center (IC) Directors and appropriate
leadership from within the Office of the
Director. The Senior Oversight
Committee will be responsible for the
on-going management and stewardship
of GWAS policy and operating
implementation procedures across ICs.
Reporting to the Senior Oversight
Committee will be two Steering
Committees charged with the
implementation, communication, and
development of specific procedures
related to the conduct, submission and
data release practices for GWAS
supported by the NIH. One of these
groups, the Research Participant
Protection and Data Management
Steering Committee, will include among
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its members the chairs of all Data
Access Committees at the NIH as well
as appropriate staff from NIH policy and
oversight offices (e.g., the Office of
Science Policy and the Office of Human
Subjects Research). This committee will
work to promote consistent and robust
participant protections across relevant
NIH programs. The second group, the
Technical Standards Steering
Committee, will include membership
from scientific programs across the NIH
as well as staff from the National Center
for Biotechnology Information. This
committee will focus on the challenges
and needs associated with building and
maintaining the NIH GWAS data
repository and on formulating or
stimulating the consideration of data
standards (for genotype or phenotype
data) where appropriate. Critical input
from individual genome-wide
association research programs and
studies will be provided to the two
Steering Committees through the ICs’
Data Access Committees or other project
oversight bodies created for specific
studies, e.g., community representative
groups, scientific advisory boards.
In order to maintain GWAS policy
consistent with evolving technological
and ethical considerations, the NIH
Director will solicit recommendations
on the policy from external experts
representing public and scientific
stakeholders through the Advisory
Committee to the Director.
III. Scientific Publication
Some respondents commented on the
considerable logistical difficulties posed
by limiting the period of publication
exclusivity, particularly considering the
complexity of many of the studies and
the lag time between submission and
publication of peer-reviewed scientific
papers. Some respondents were
concerned that submitting investigators
would not receive appropriate credit for
their work and would have insufficient
control over use of their data. Concern
was expressed about enforcing
compliance with publication policies.
Some respondents commented that the
limited period of exclusivity could
stimulate a rush to publish initial
analyses prematurely, deterring
subsequent studies and reducing the
overall quality of the reports.
The NIH initially proposed that
GWAS datasets be made available as
soon as appropriate quality control
measures (as defined for a given NIH
program) were complete and that a 9month period of exclusivity would exist
for primary investigators to submit
analyses of GWAS datasets for
publication. The NIH believes that an
extended period of exclusivity would
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undermine the potential benefits of data
sharing. However, in response to
concerns raised through the public
comment process, the NIH has
lengthened this exclusivity period to 12
months in the final policy. The
publication exclusivity period will
commence on the date that a GWAS
dataset is first made available through
the NIH GWAS data repository, and the
expiration date of this time period will
be featured prominently in all
descriptions and overviews of the
dataset provided through both the
public and controlled access pathways
of the NIH GWAS data repository. The
policy now is explicit on the inclusion
within this exclusivity period of
electronic and other means of
information dissemination beyond peerreviewed publications. As part of an
overarching desire for transparency in
the use of GWAS datasets, the names,
institutional affiliations, and Data
Access Committee-approved research
uses for all GWAS data users will be
available to the public within the NIH
GWAS data repository. GWAS data
users will be encouraged to collaborate
with the primary investigators for
GWAS as appropriate. The period of
exclusivity is consistent with existing
practices for other genome-wide
association programs already available
or in the pipeline for deposition into the
NIH GWAS data repository, and is
intended only as an upper limit as some
NIH programs may stipulate shorter (or
no) publication exclusivity timelines.
The NIH anticipates that over time
investigators will become more
comfortable with the GWAS data
sharing policy as the benefits of greater
research access to the data are realized.
IV. Intellectual Property
Respondents raised concerns that the
policy might diminish the intellectual
property rights of the submitting
investigators, as well as their ability to
obtain patents. Some respondents
questioned whether the proposed policy
text is a violation of the Bayh-Dole Act.
The NIH believes that the intellectual
property section of the policy presents
no conflict with, or infringement upon,
rights granted by the Bayh-Dole Act or
any other federally-created intellectual
property rights. Funding recipients are
still able to elect title to any inventions
or discoveries developed under the
respective federal funding agreements
that are or may be patentable, consistent
with the Bayh-Dole Act and NIH
policies. The NIH expects that
intellectual property issues or questions
that may occur will be resolvable
through appropriate negotiations under
the rubrics provided previously in NIH
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guidance to the research community
within the Research Tools Policy
(https://ott.od.nih.gov/policy/
research_tool.html) and the Best
Practices for the Licensing of Genomic
Inventions (https://www.ott.nih.gov/
policy/genomic_invention.html). The
NIH encourages development of new
diagnostics, therapeutics, or other
interventions building on basic
discoveries, and believes they will be
enabled through the NIH GWAS data
repository. The NIH anticipates that
downstream technology development
opportunities will increase as a result of
broad research access to genotypephenotype associations provided
through the GWAS policy. The NIH has
engaged in informal discussions with
academic and private sector experts in
intellectual property; these interactions,
as well as formal responses received
from stakeholders through the GWAS
public consultation process, have
suggested that the GWAS policy is
consistent with existing practices and
can be expected to better promote the
development of exciting new
discoveries for the public benefit.
Policy for Genome-Wide Association
Studies (GWAS)
Effective Date: January 25, 2008.
I. Principles
The NIH is interested in advancing
genome-wide association studies
(GWAS) to identify common genetic
factors that influence health and
disease. For the purposes of this policy,
a genome-wide association study is
defined as any study of genetic variation
across the entire human genome that is
designed to identify genetic associations
with observable traits (such as blood
pressure or weight), or the presence or
absence of a disease or condition.4
Whole genome information, when
combined with clinical and other
phenotype data, offers the potential for
increased understanding of basic
biological processes affecting human
health, improvement in the prediction
of disease and patient care, and
ultimately the realization of the promise
of personalized medicine. In addition,
rapid advances in understanding the
patterns of human genetic variation and
maturing high-throughput, cost-effective
methods for genotyping are providing
powerful research tools for identifying
4 To meet the definition of a GWAS, the density
of genetic markers and the extent of linkage
disequilibrium should be sufficient to capture (by
the r2 parameter) a large proportion of the common
variation in the genome of the population under
study, and the number of samples (in a case-control
or trio design) should provide sufficient power to
detect variants of modest effect.
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genetic variants that contribute to health
and disease.
Consistent with the NIH mission to
improve public health through research,
the NIH believes that the full value of
GWAS to the public can be realized
only if the genotype and phenotype
datasets are made available as rapidly as
possible to a wide range of scientific
investigators. Rapid and broad data
access is particularly important for
GWAS because of the significant
resources they require; the challenges of
analyzing large datasets; and the
extraordinary opportunities for making
comparisons across multiple studies.
Protection of research participants is
a fundamental principle underlying
biomedical research. The NIH is
committed to responsible stewardship
of data throughout the research process,
which is essential to protecting the
interests of study participants and to
maintaining public trust in biomedical
research.
In consideration of the evolving
scientific, ethical, and societal issues
related to this policy, the NIH is
establishing a governance structure for
NIH GWAS activities that will:
• Ensure ongoing, high-level agency
oversight; and
• Obtain regular input from public
representatives, including those with
expertise in bioethics, privacy, data
security, and appropriate scientific and
clinical disciplines; and
• Revisit and revise the policy as
appropriate.
II. Applicability
This NIH policy applies to:
• Competing grant applications that
include GWAS and are submitted to the
NIH for the January 25, 2008, and
subsequent receipt dates;
• Proposals for contracts that include
GWAS and are submitted to the NIH on
or after January 25, 2008; and
• NIH intramural research projects
that include GWAS and are approved on
or after January 25, 2008.
An application or proposal will be
identified as GWAS by applicants and/
or NIH staff (see NOT–OD–06–071—
https://grants.nih.gov/grants/guide/
notice-files/NOT-OD-07-071.html).
III. Data Management
Data Repository
To facilitate broad and consistent
access to NIH-supported GWAS
datasets, the NIH has developed a
central NIH GWAS data repository 5 at
5 Currently named the NIH database of Genotypes
and Phenotypes (dbGaP) (https://
www.ncbi.nlm.nih.gov/entrez/query/Gap_tmpl/
about.html).
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the National Center for Biotechnology
Information (NCBI), National Library of
Medicine. The repository will provide a
single-point of access to basic
information about NIH-supported
GWAS and to available genotypephenotype datasets for GWAS. Although
the NIH envisions that access to all NIHsupported GWAS datasets will be
possible through this repository, it does
not intend the repository to become the
exclusive point of data submission for
these data, nor does it intend the central
database to delimit the structures or
tools that may be appropriate for other
similar databases. The repository also
will accept GWAS datasets contributed
from other sources.
To ensure the security of the data held
by the repository, the NCBI will employ
multiple tiers of data security (such as
sequential firewalls and independent
networks) based on the content and
level of risk associated with the data.
The NIH will establish and maintain
operating policies and procedures for
the repository to address issues
including, but not limited to, the
privacy and confidentiality of GWAS
research participants, the interests of
individuals and groups, data access
procedures, and data security
mechanisms. These will be reviewed
periodically by the GWAS oversight
bodies.
Data Submission
All investigators who receive NIH
support to conduct genome-wide
analysis of genetic variation in a study
population are expected to submit to the
NIH GWAS data repository descriptive
information about their studies for
inclusion in an open access portion of
the NIH GWAS data repository. All data
and information will be submitted to a
high security network within the NCBI
through a secure transmission process.
Submissions should include the
following:
• The protocol,
• Questionnaires,
• Study manuals,
• Variables measured, and
• Other supporting documentation.
In addition, the NIH strongly
encourages the submission of curated
and coded phenotype, exposure,
genotype, and pedigree data, as
appropriate, to the NIH GWAS data
repository as soon as quality control
procedures have been completed at the
local institution. These detailed data
will be made available through a
controlled access process according to
the GWAS Data Access procedures
(described in Data Access section
below). Investigators who elect to
submit their GWAS data to additional
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data repositories or networks should
verify that appropriate data security,
confidentiality, and privacy measures
are in place for protection of GWAS
participants. Irrespective of where the
data are submitted, researchers
submitting GWAS data are encouraged
to consider whether a Certificate of
Confidentiality might be appropriate for
their data as an additional safeguard
with regard to involuntary disclosure of
the research participant identities.
Further information about Certificates of
Confidentiality is available at the
following Web site: https://
grants2.nih.gov/grants/policy/coc/.
In order to minimize risks to study
participants, data submitted to the NIH
GWAS data repository will be deidentified and coded using a random,
unique code. Data should be deidentified according to the following
criteria: the identities of data subjects
cannot be readily ascertained or
otherwise associated with the data by
the repository staff or secondary data
users (45 CFR 46.102(f)); the 18
identifiers enumerated at section 45
CFR 164.514(b)(2) (the HIPAA Privacy
Rule) are removed; and the submitting
institution has no actual knowledge that
the remaining information could be
used alone or in combination with other
information to identify the subject of the
data.6 Keys to codes will be held by
6 The identities of data subjects cannot be readily
ascertained or otherwise associated with the data by
the repository staff or secondary data users
(Common Rule); and the following data elements
have been removed (HIPAA Privacy Rule).
1. Names.
2. All geographic subdivisions smaller than a
state, including street address, city, county,
precinct, ZIP Code, and their equivalent
geographical codes, except for the initial three
digits of a ZIP Code if, according to the current
publicly available data from the Bureau of the
Census: a. The geographic unit formed by
combining all ZIP Codes with the same three initial
digits contains more than 20,000 people. b. The
initial three digits of a ZIP Code for all such
geographic units containing 20,000 or fewer people
are changed to 000.
3. All elements of dates (except year) for dates
directly related to an individual, including birth
date, admission date, discharge date, date of death;
and all ages over 89 and all elements of dates
(including year) indicative of such age, except that
such ages and elements may be aggregated into a
single category of age 90 or older.
4. Telephone numbers.
5. Facsimile numbers.
6. Electronic mail addresses.
7. Social Security numbers.
8. Medical record numbers.
9. Health plan beneficiary numbers.
10. Account numbers.
11. Certificate/license numbers.
12. Vehicle identifiers and serial numbers,
including license plate numbers.
13. Device identifiers and serial numbers.
14. Web universal resource locators (URLs).
15. Internet protocol (IP) addresses numbers.
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submitting institutions. Submissions of
GWAS data should be accompanied by
a written certification (detailed below)
stating that the identities of research
participants will not be disclosed to the
NIH GWAS data repository. Therefore,
the NIH GWAS data repository will be
unable to provide individual research
results derived from analyses of
submitted data to participants. General
information regarding known
publications analyzing GWAS datasets
will be made available through the
repository.
All submissions to the NIH GWAS
data repository should be accompanied
by a certification by the responsible
Institutional Official(s) of the submitting
institution that they approve submission
to the NIH GWAS data repository.
The certification should assure that:
• The data submission is consistent
with all applicable laws and
regulations,7 as well as institutional
policies;
• The appropriate research uses of the
data and the uses that are specifically
excluded by the informed consent
documents are delineated;
• The identities of research
participants will not be disclosed to the
NIH GWAS data repository; and
• An IRB and/or Privacy Board, as
applicable, reviewed and verified that:
Æ The submission of data to the NIH
GWAS data repository and subsequent
sharing for research purposes are
consistent with the informed consent of
study participants from whom the data
were obtained;
Æ The investigator’s plan for deidentifying datasets is consistent with
the standards outlined above;
Æ It has considered the risks to
individuals, their families, and groups
or populations associated with data
submitted to the NIH GWAS data
repository; and
Æ The genotype and phenotype data
to be submitted were collected in a
manner consistent with 45 CFR part 46.
While the NIH encourages data
sharing through this policy,
16. Biometric identifiers, including fingerprints
and voiceprints.
17. Full-face photographic images and any
comparable images.
18. Any other unique identifying number,
characteristic, or code, unless otherwise permitted
by the Privacy Rule for re-identification.
In addition, the submitting institution should
have no actual knowledge that the remaining
information could be used alone or in combination
with other information to identify the individual
who is the subject of the information.
7 Applicable federal regulations may include HHS
human subjects regulations (45 CFR part 46), FDA
human subjects regulations (21 CFR parts 50 and
56), and the Health Insurance Portability and
Accountability Act Privacy Rule (45 CFR part 160
and part 164, Subparts A and E).
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circumstances beyond the control of
investigators may preclude submission
of GWAS data to the NIH GWAS data
repository. Applications submitted to
the NIH for support of GWAS in which
the above expectations for data
submission cannot be met will be
considered for funding on a case-by-case
basis by the appropriate IC.
Submitting investigators and their
institutions may request removal of data
on individual participants from the NIH
GWAS data repository in the event that
a research participant withdraws his or
her consent. However, data that have
been distributed for approved research
use will not be retrieved.
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Data Access
The basic descriptive and aggregate
summary information submitted to the
NIH GWAS data repository for each
NIH-supported or conducted GWAS
will be available publicly through the
NIH GWAS data repository. Access to
the genotype and phenotype datasets
submitted and stored in the NIH GWAS
data repository, along with appropriate
automated calculations (e.g., quality
control measures, simple genotypephenotype associations, or a listing of
all variants known to be in linkage
disequilibrium 8 with variants measured
in the genotype), will be provided for
research purposes through an NIH Data
Access Committee (DAC). Membership
of the DACs will include Federal staff
with relevant expertise in areas such as
the relevant particular scientific
disciplines, research participant
protection, and privacy. The NIH
anticipates that individual DACs may be
established based on programmatic
areas of interest and the relevant needs
for technical and ethics expertise. All
DACs will operate according to common
principles and follow similar
procedures to ensure the consistency
and transparency of the GWAS data
access process.
Investigators and institutions seeking
data from the NIH GWAS data
repository will be expected to meet data
security measures (such as physical
security, information technology
security, and user training) and will be
asked to submit a data access request,
including a Data Use Certification, that
is co-signed by the investigator and the
designated Institutional Official(s). Data
access requests should include a brief
description of the proposed research use
of the requested GWAS dataset(s).
Within a Data Use Certification
8 Linkage
disequilibrium information will be
based on data from the International HapMap
Project (https://www.hapmap.org/).
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investigators will agree, among other
things,9 to:
• Use the data only for the approved
research;
• Protect data confidentiality;
• Follow appropriate data security
protections;
• Follow all applicable laws,
regulations and local institutional
policies and procedures for handling
GWAS data;
• Not attempt to identify individual
participants from whom data within a
dataset were obtained;
• Not sell any of the data elements
from datasets obtained from the NIH
GWAS data repository;
• Not share with individuals other
than those listed in the request any of
the data elements from datasets
obtained from the NIH GWAS data
repository;
• Agree to the listing of a summary of
approved research uses within the NIH
GWAS data repository along with his or
her name and organizational affiliation;
• Agree to report, in real time,
violations of the GWAS policy to the
appropriate DAC;
• Acknowledge the GWAS policy
with regard to publication and
intellectual property; and
• Provide annual progress reports on
research using the GWAS dataset.
Data Access Committees or their
designees will review requests for
access to determine whether the
proposed use of the dataset is
scientifically and ethically appropriate
and does not conflict with constraints or
informed consent limitations identified
by the institutions that submitted the
dataset to the NIH GWAS data
repository. In the event that requests
raise concerns related to privacy and
confidentiality, risks to populations or
groups, or other concerns, the DAC will
consult with other experts as
appropriate.
IV. Publication
The NIH expects that investigators
who contribute data to the NIH GWAS
data repository will retain the exclusive
right to publish analyses of the dataset
for a defined period of time following
the release of a given genotypephenotype dataset through the NIH
GWAS data repository (including the
pre-computed analyses of the data).
During this period of exclusivity, the
NIH will grant access through the DACs
to other investigators, who may analyze
the data, but are expected not to submit
9 Investigators requesting access to GWAS
datasets who also have access to identifying
information for the individuals within the dataset
will require IRB approval.
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their analyses or conclusions for
publication during the exclusivity
period. The maximum period of
exclusivity is twelve months from the
date that the GWAS dataset is made
available for access through the NIH
GWAS data repository, although a
shorter period of exclusivity may be
determined by the NIH funding IC.
Contributing investigators are
encouraged to shorten the period of
publication exclusivity at their own
discretion. Publication exclusivity is
expected to extend to all forms of public
disclosure, including meeting abstracts,
oral presentations, and publicly
accessible electronic submissions (e.g.,
Web sites, web blogs). Following
expiration of the exclusive publication
period for a given GWAS dataset, the
NIH expects that all investigators with
access to the data may submit
publications or present analyses for any
purpose consistent with the practices
and policies of their institutions and the
NIH. The NIH also expects all
investigators who access GWAS datasets
to acknowledge the Contributing
Investigator(s) who conducted the
original study, the funding
organization(s) that supported the work,
and the NIH GWAS data repository in
all resulting oral or written
presentations, disclosures, or
publications of the analyses.
V. Intellectual Property
It is the hope of the NIH that
genotype-phenotype associations
identified through NIH-supported and
NIH-maintained GWAS datasets and
their obvious implications will remain
available to all investigators,
unencumbered by intellectual property
claims. The NIH discourages premature
claims on pre-competitive information
that may impede research, though it
encourages patenting of technology
suitable for subsequent private
investment that may lead to the
development of products that address
public needs.
The NIH will provide approved
GWAS data users with certain
automated calculations (described
under the Data Access section) as a
component of the GWAS datasets
distributed through the NIH GWAS data
repository.
The NIH expects that NIH-supported
genotype-phenotype data made
available through the NIH GWAS data
repository and all conclusions derived
directly from them will remain freely
available, without any licensing
requirements, for uses such as, but not
necessarily limited to, markers for
developing assays and guides for
identifying new potential targets for
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drugs, therapeutics, and diagnostics.
The intent is to discourage the use of
patents to prevent the use of or block
access to any genotype-phenotype data
developed with NIH support. The NIH
encourages broad use of NIH-supported
genotype-phenotype data that is
consistent with a responsible approach
to management of intellectual property
derived from downstream discoveries,
as outlined in the NIH’s Best Practices
for the Licensing of Genomic Inventions
(https://www.ott.nih.gov/policy/
genomic_invention.html) and its
Research Tools Policy (https://
ott.od.nih.gov/policy/
research_tool.html).
The filing of patent applications and/
or the enforcement of resultant patents
in a manner that might restrict use of
NIH-supported genotype-phenotype
data could diminish the potential public
benefit they could provide. Approved
users and their institutions, through the
execution of an NIH Data Use
Certification, will acknowledge the goal
of ensuring the greatest possible public
benefit from NIH-supported GWAS.
Expectations Defined in the Policy for
Investigators
Investigators Submitting GWAS Data
Are Expected To
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Investigators Requesting and Receiving
GWAS Data Are Expected To
• Submit a description of the
proposed research project;
• Submit a data access request,
including a Data Use Certification cosigned by the designated Institutional
Official(s) at their sponsoring
institution;
• Protect data confidentiality;
• Ensure that data security measures
are in place;
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Specific questions about this Notice
should be directed to: Laura Lyman
Rodriguez, PhD, Special Advisor to the
Director, National Human Genome
Research Institute, 31 Center Drive,
Room 4B09, Bethesda, MD 20892,
Phone: 301–496–0844. Sam Shekar,
M.D., M.P.H., Assistant Surgeon General
and Director, Office of Extramural
Programs, Office of Extramural
Research, 1 Center Drive, Bethesda, MD
20892, Phone: 301–435–3492.
E-mail inquiries should be directed to
GWAS@nih.gov.
Additional information and detailed
implementation guidance related to the
NIH GWAS Policy will be provided at
https://grants.nih.gov/grants/gwas/
index.htm.
Dated: August 22, 2007.
Elias A. Zerhouni,
Director, National Institutes of Health.
[FR Doc. E7–17030 Filed 8–27–07; 8:45 am]
DEPARTMENT OF HOMELAND
SECURITY
[Docket No. DHS–2007–0061]
• Provide descriptive information
about their studies;
• Submit coded genotypic and
phenotypic data to the NIH GWAS data
repository; and
• Submit certification by the
Institutional Official(s) of the
responsible submitting institution that it
has reviewed and approved submission
to the NIH, noting any limitations on
data use based on the relevant informed
consents and providing assurance that
all data are submitted to the NIH in
accord with applicable laws and
regulations and that the identities of
research participants will not be
disclosed to the NIH GWAS data
repository.
19:52 Aug 27, 2007
Inquiries
BILLING CODE 4140–01–P
The detailed expectations are
enumerated in the individual sections of
this policy, and summarized as follows:
VerDate Aug<31>2005
• Notify the appropriate Data Access
Committee of policy violations; and
• Submit annual progress reports
detailing significant research findings.
Science and Technology Directorate;
Submission for Review; New
Information Collection Request for
Support of TechSolutions New
Account Request Data Form, New
Capability Gap Data Form, and
Feedback Data Form
Science and Technology
Directorate, DHS.
ACTION: 30-day notice and request for
comment.
AGENCY:
SUMMARY: The Department of Homeland
Security (DHS) TechSolutions program
is responsible for providing information,
technology, and training to the first
responder community. The
TechSolutions program will use webbased technology to collect submitter
and capability gap information. DHS is
soliciting public comment on the New
Account Request Data (DHS Form
10015), New Capability Gap Data (DHS
Form 10011), and Feedback Data (DHS
Form 10012) forms and instructions
(hereinafter ‘‘Forms Package’’) designed
to collect submitter and capability gap
information from first responders
(federal, state, local, and tribal police,
firefighters, and Emergency Medical
Service) through the TechSolutions Web
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49297
site. This notice and request for
comments is required by the Paperwork
Reduction Act of 1995 (Pub. L. 104–13,
44 U.S.C. chapter 35).
DATES: Comments are encouraged and
will be accepted until September 27,
2007. This process is conducted in
accordance with 5 CFR 1320.10.
ADDRESSES: You may submit comments,
identified by docket number [DHS–
2007–0061], by one of the following
methods:
• Federal eRulemaking Portal: https://
www.regulations.gov. Follow the
instructions for submitting comments.
• E-mail: ken.rogers@dhs.gov. Include
docket number [DHS–2007–0061] in the
subject line of the message.
• Mail: Science and Technology
Directorate, ATTN: OCIO/Ken Rogers,
245 Murray Drive, Bldg 410,
Washington, DC 20528.
FOR FURTHER INFORMATION CONTACT: Ken
Rogers (202) 254–6185 (this is not a toll
free number).
SUPPLEMENTARY INFORMATION: This
request for comment was previously
published in the Federal Register on
May 30, 2007, for a 60-day public
comment period ending July 31, 2007.
No comments were received by DHS
during the 60-day comment period. The
purpose of this notice is to allow an
additional 30 days for public comments.
This notice and request for comments is
required by the Paperwork Reduction
Act of 1995 (Pub. L. 104–13, 44 U.S.C.
chapter 35).
DHS invites the general public to
comment on the proposed ‘‘Forms
Package’’, as described below.
Interested parties can obtain copies of
the Forms by calling or writing to the
point of contact listed above.
Please note that the Forms Package
include three forms for collecting
submitter and capability gap
information from first responders
(federal, state, local, and tribal police,
firefighters, and Emergency Medical
Service). As explained herein, these
separate forms are intended to be
flexible and permit DHS S&T to address
reported capability gaps, leading to
improved safety and productivity
without undue bureaucratic burden.
The Department is committed to
improving its TechSolutions processes
and urges all interested parties to
suggest how these materials can further
reduce burden while seeking necessary
information under the Act.
DHS is particularly interested in
comments that:
(1) Evaluate whether the proposed
collection of information is necessary
for the proper performance of the
functions of the agency, including
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Agencies
[Federal Register Volume 72, Number 166 (Tuesday, August 28, 2007)]
[Notices]
[Pages 49290-49297]
From the Federal Register Online via the Government Printing Office [www.gpo.gov]
[FR Doc No: E7-17030]
-----------------------------------------------------------------------
DEPARTMENT OF HEALTH AND HUMAN SERVICES
National Institutes of Health
Policy for Sharing of Data Obtained in NIH Supported or Conducted
Genome-Wide Association Studies (GWAS)
AGENCY: National Institutes of Health, HHS.
ACTION: Notice.
-----------------------------------------------------------------------
Background
The NIH is interested in advancing genome-wide association studies
(GWAS) to identify common genetic factors that influence health and
disease. For the purposes of this policy, a genome-wide association
study is defined as any study of genetic variation across the entire
human genome that is designed to identify genetic associations with
observable traits (such as blood pressure or weight), or the presence
or absence of a disease or condition.\1\ Whole genome information, when
combined with clinical and other phenotype data, offers the potential
for increased understanding of basic biological processes affecting
human health, improvement in the prediction of disease and patient
care, and
[[Page 49291]]
ultimately the realization of the promise of personalized medicine. In
addition, rapid advances in understanding the patterns of human genetic
variation and maturing high-throughput, cost-effective methods for
genotyping are providing powerful research tools for identifying
genetic variants that contribute to health and disease.
---------------------------------------------------------------------------
\1\ To meet the definition of a GWAS, the density of genetic
markers and the extent of linkage disequilibrium should be
sufficient to capture (by the r\2\ parameter) a large proportion of
the common variation in the genome of the population under study,
and the number of samples (in a case-control or trio design) should
provide sufficient power to detect variants of modest effect.
---------------------------------------------------------------------------
For these reasons, the NIH announced in May 2006 that it planned
to: (1) Update NIH data sharing policies for research applications
involving GWAS data; (2) initiate a public consultation process to
inform policy development activities; and (3) track GWAS applications
and awards at a central level (NOT-OD-06-071--https://grants.nih.gov/
grants/guide/notice-files/NOT-OD-07-071.html). A call for public
comments on a proposed GWAS policy was issued on August 30, 2006 (NOT-
OD-06-094--https://grants.nih.gov/grants/guide/notice-files/NOT-OD-06-
094.html). Between August 30 and November 30, 2006, the NIH solicited
public comments from a range of public sectors (see Preamble below).
Following the comment period, NIH convened a Town Hall Meeting in
Bethesda, Maryland, on December 14, 2006, to provide an opportunity for
direct interaction with interested stakeholders on the important policy
questions raised through the proposed policy (NOT-OD-06-022--https://
grants.nih.gov/grants/guide/notice-files/NOT-OD-06-022.html).
This Notice provides the NIH response to the public comments
received during the public consultation activities and presents the
revised GWAS policy developed by the NIH in response to the feedback
received and further internal development of the issues. The policy
addresses (1) Data sharing procedures, (2) data access principles, (3)
intellectual property, and (4) issues regarding the protection of
research participants through all phases of GWAS. Many of the
principles contained in the policy reflect existing NIH polices and
other NIH discussions.
The goal of the policy is to advance science for the benefit of the
public through the creation of a centralized NIH GWAS data repository.
Maximizing the availability of resources facilitates research and
enables medical science to better address the health needs of people
based on their individual genetic information.
Protecting Research Participants
The potential for public benefit to be achieved through sharing
GWAS data is significant. However, genotype and phenotype information
generated about individuals, such as data related to the presence or
risk of developing particular diseases or conditions and information
regarding paternity or ancestry, may be sensitive. Therefore,
protecting the privacy of the research participants and the
confidentiality of their data is critically important. Risks to
individuals, groups, or communities should be balanced carefully with
potential benefits of the knowledge to be gained through GWAS. The
sensitive nature of GWAS information about participants and the broad
data distribution goals of the NIH GWAS data repository highlight the
importance of the informed consent process to this research.
The NIH recognizes that scientific, ethical and societal issues
relevant to this policy are evolving, and the agency has established
on-going mechanisms to oversee GWAS policy implementation across the
agency and to monitor whole genome association data use practices. The
NIH will revisit and revise the policy and related practices as
appropriate.
Preamble: Summary of Public Comments on Proposed Policy
On August 30, 2006, the NIH published the Proposed Policy for
Sharing of Data Obtained in NIH Supported or Conducted Genome-Wide
Association Studies (GWAS) (https://grants.nih.gov/grants/guide/notice-
files/NOT-OD-06-094.html) for public comment in the Federal Register
and the NIH Guide for Grants and Contracts. The comment period ended
with a Town Hall meeting held in Bethesda, Maryland on December 14,
2006, that was attended by a total of 374 people (on-site and via
webcast).
Overall the NIH received 196 written comments from professional
societies, patient advocacy groups, privacy groups, individual
scientists, and private citizens. The comments reflected a variety of
interests and perspectives. In developing policies, the NIH strives to
be respectful of the diversity of individual and group interests,
incorporating appropriate protections while promoting maximum public
benefit from the research it sponsors. The NIH GWAS policy and its
implementation are expected to evolve in response to advances in
scientific knowledge, available technologies, and the legal and ethical
issues they raise.
I. Rationale for a Centralized Data Repository
Respondents asked for clarification of the rationale for creation
of a central data repository instead of distributed repositories under
the control of individual (and non-governmental) institutions and
investigators. Concerns expressed about a central data repository
included, for example, the resources required to maintain it and the
extent to which it would duplicate efforts and resources already
invested by multiple institutions.
The advantages and limitations of central versus distributed data
repositories have been discussed extensively at the NIH. From a
scientific standpoint, a central repository offers a number of
important advantages: Tighter and more consistent control over the
standards and quality of the genotype and phenotype data included; the
ability to standardize and update terminology and format as technology
and methodology improve; consistent, defined and transparent security
and standards for access to data; a long-term commitment to maintenance
of data after studies have been completed; a common point of entry for
all investigators who use the data; a consistent and defined approach
to removal of data in the event of withdrawal of participant consent;
facilitation of meta-analyses and analyses that use data from multiple
studies; and the ability to implement consistent participant
protections at the level of data submission and data access. Individual
investigators and many institutions may lack sufficient resources to
ensure consistency and quality control, or a long-term commitment to
data storage and access. One of the potential disadvantages of a
central repository residing at NIH is that the data may be accessible
through the Federal Freedom of Information Act (FOIA), unless they are
exempt from release under one of the FOIA exemptions. This is further
discussed in the Protection of Research Participants section below.
As clinical and genomics research progresses, genotype and
phenotype data are being collected into databases maintained by a
variety of investigators, studies, and institutions. The NIH is
concerned that the present situation may provide less consistent
standards for the protection of research participants, data quality,
and data access than would a central repository. However, the NIH
recognizes that other databases will be designed to achieve different
scientific aims or to integrate different analytic capacities, and the
NIH GWAS policy is not intended to constrain the development of such
databases or to curtail the deposition of NIH-supported GWAS data into
other databases (as may be appropriate or required for some research
programs). Among the on-going charges to the trans-NIH Technical
Standards Steering
[[Page 49292]]
Committee established through the GWAS governance structure (see
Oversight and Governance section below) will be explicit consideration
of the evolving technical capacities and interoperability needed to
facilitate the submission of data into the NIH GWAS data repository \2\
through other major database systems (e.g., the NCI caBIG network).
This committee also will provide a forum for inter-IC coordination of
data structures and standards to maintain interoperability of NIH
databases.
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\2\ Currently named the NIH database of Genotypes and Phenotypes
(dbGaP) (https://www.ncbi.nlm.nih.gov/entrez/query/Gap/gap_tmpl/
about.html).
---------------------------------------------------------------------------
II. Protection of Research Participants
Non-Research Use of Data
Respondents noted that data held by the Government are subject to
the FOIA, and thus could be obtained outside of the Controlled Access
data request process described in the GWAS policy. Respondents
expressed concern that data could be obtained for non-research purposes
(e.g., by law enforcement agencies, employers, or insurance companies)
or for purposes beyond the scope of the research uses envisioned within
the GWAS policy.
As an agency of the Federal Government, the NIH is required to
release Government records in response to a request under the FOIA,
unless they are exempt from release under one of the FOIA exemptions.
Although the NIH-held data will be coded and the NIH will not hold
direct identifiers to individuals within the NIH GWAS data repository,
the agency recognizes the personal and potentially sensitive nature of
the genotype-phenotype data. Further, the NIH takes the position that
technologies available within the public domain today, and
technological advances expected over the next few years, make the
identification of specific individuals from raw genotype-phenotype data
feasible and increasingly straightforward.
The agency believes that release of unredacted GWAS datasets in
response to a FOIA request would constitute an unreasonable invasion of
personal privacy under FOIA Exemption 6, 5 U.S.C. 552(b)(6). Therefore,
among the safeguards that the NIH foresees using to preserve the
privacy of research participants and confidentiality of genomic data is
the redaction of individual-level genotype and phenotype data from
disclosures made in response to FOIA requests and the denial of
requests for unredacted datasets.
In addition, the NIH acknowledges that legitimate requests for
access to data made by law enforcement offices to the NIH may be
fulfilled. The NIH will not possess direct identifiers within the NIH
GWAS data repository, nor will the NIH have access to the link between
the data keycode and the identifiable information that may reside with
the primary investigators and institutions for particular studies. The
release of identifiable information may be protected from compelled
disclosure by the primary investigator's institution if a Certificate
of Confidentiality is or was obtained for the original study. Within
the final GWAS policy, the NIH explicitly encourages investigators to
consider the potential appropriateness of obtaining a Certificate of
Confidentiality as an added measure of protection against future
compelled disclosure of identities for studies planning to collect
genome-wide association data.
Stigmatization
Respondents commented that some data to be included in the
repository may be highly sensitive because they may suggest the
existence either of individually identifiable or socially undesirable
traits. These data have implications for both participants and family
members.
Tools for analysis of genomic data increasingly are able to make
inferences about some individual traits (e.g., height, weight, skin and
hair and eye color) and to identify predilections for characteristics
(e.g., risk of developing some diseases) and behaviors with social
stigma. In recognition of these risks, the NIH policy includes steps to
protect the interests and privacy concerns of individuals, families and
identifiable groups who participate in GWAS research. The NIH is asking
institutions submitting GWAS datasets to certify that an Institutional
Review Board (IRB) and/or Privacy Board (as applicable) has considered
such risks and that investigators have stripped the data of all
identifiers before the data are submitted. The NIH Data Access
Committees (DACs) will approve access only for research uses that are
consistent with an individual's consent as defined by the submitting
institution. In addition, in the event that requests raise questions or
concerns related to privacy and confidentiality, risks to populations
or groups, or other relevant topics, the DACs will consult with other
experts as appropriate.
Informed Consent
Respondents asked for clarification regarding appropriate informed
consent processes and consent documentation for individuals
participating in studies for which data are to be submitted to the NIH
GWAS data repository. Concern was raised that participants may not be
aware of the potential privacy risks associated with placement of their
genotype and phenotype data in a central repository at the NIH.
Respondents also commented that adequate consent for data sharing
requires participants to understand both the risks and potential
benefits of the proposed sharing. Key stakeholders in these
considerations are: Research participants (both those who have
participated in on-going or prior studies for which GWAS were not
anticipated and those who may participate in prospective GWAS);
investigators developing informed consent processes; institutions
approving the submission of datasets to the NIH GWAS data repository;
and IRBs asked to review studies proposing genome-wide association
analysis. Respondents commented that additional institutional resources
are likely to be required if additional consent is needed for data
sharing.
As noted elsewhere and reflected in the GWAS oversight structure
established to manage implementation of the GWAS policy (see Oversight
and Governance section below), the NIH recognizes that the ethical
considerations relevant to GWAS data sharing are complex and dynamic.
Therefore, the NIH is developing informational materials as a resource
for IRBs and institutions for their consideration of the issues
relevant to reviewing and approving individual studies proposing data
submission to the NIH GWAS data repository. The NIH intends to continue
to engage the Office for Human Research Protections, the research
community, and the public to explore the participant protection issues
related to GWAS and to identify best practices for the consideration
and risk-benefit analysis of genotype and phenotype data sharing under
this policy. These efforts will include discussion of the optimal
methods for communicating with participants about relevant issues
through the informed consent process for prospective studies, and
discussion of issues to consider in the institutional review of consent
materials for use of existing samples or data proposed for GWAS.
Participant interests relevant to GWAS data sharing extend beyond
individual participants to families, communities, and their respective
cultural sensitivities. The NIH believes that institutional
deliberations regarding data submission
[[Page 49293]]
to the NIH GWAS data repository should include these broader interests.
Further, especially complex issues exist with regard to GWAS where
participant consent has been provided by proxy (e.g., pediatric
research or some studies involving mental health disorders). Discussion
of this topic will be included in the informational materials \3\ that
the NIH is developing for submitting institutions and IRBs asked to
review proposed GWAS.
---------------------------------------------------------------------------
\3\ The NIH anticipates releasing additional GWAS implementation
documents, including a Points to Consider document on informed
consent issues related to the submission of data to the repository.
---------------------------------------------------------------------------
The GWAS policy applies to genome-wide association research
utilizing genetic materials and data collected both prospectively and
retrospectively. For prospective studies, in which GWAS are conceived
within the study designs at the time research participants provide
their consent, the NIH expects specific discussion within the informed
consent process and documentation that participants' genotype and
phenotype data will be shared for research purposes through the NIH
GWAS data repository. For retrospective studies performed using
existing genetic materials and previously collected data, the NIH
anticipates considerable variation in the extent to which data sharing
and future genetic research have been addressed within the informed
consent documents. As described in the policy, the submitting
institution will determine whether a study is appropriate for
submission to the NIH GWAS data repository (including an IRB and/or
Privacy Board review of specific study elements, such as participant
consent). The NIH anticipates that a number of GWAS proposing to
include pre-existing data or samples may require additional consent of
the research participants. The NIH may give programmatic consideration
to requests for funds or other resources needed to conduct additional
participant consent when appropriate.
In the event that participants withdraw consent for sharing of
their individual-level genotype and phenotype data through the NIH GWAS
data repository, the submitting institution will be responsible for
alerting the NIH GWAS data repository and requesting that the specific
record be removed from future data distributions. However, data that
have been distributed to researchers will not be retracted.
Return of Results
Respondents asked for clarification of plans for return of results
to study participants.
The NIH does not anticipate that participants will be able to
obtain individual results of secondary analyses on data obtained from
their participation in primary studies. Because the NIH GWAS data
repository and secondary data users will not have access to identifying
information or to the link to the keycode within the data, neither will
be able to return individual results directly to subjects. Secondary
investigators may share their findings with primary investigators, who
may determine whether it is appropriate to return individual or
aggregate research results to participants whose health may be
affected, following established institutional procedures (e.g., IRB
approval) and specific parameters defined within the original study.
Oversight and Governance of the NIH GWAS Data Repository, Submission
and Access
Some respondents commented on the importance of adequate oversight
of policies for data submission and access, and on the details of the
repository. A need for oversight of the quality control measures for
genotype and phenotype data and of the security measures for the
repository was noted by many respondents. Some respondents commented on
the importance of the policies established by the Data Access
Committees, and their function within the Institutes and Centers.
The NIH has developed a governance structure for GWAS that provides
oversight tailored to the specific role involved. The NIH Director will
oversee the GWAS policy and its implementation. In carrying out this
responsibility, the NIH Director will be informed by a Senior Oversight
Committee composed of Institute and Center (IC) Directors and
appropriate leadership from within the Office of the Director. The
Senior Oversight Committee will be responsible for the on-going
management and stewardship of GWAS policy and operating implementation
procedures across ICs. Reporting to the Senior Oversight Committee will
be two Steering Committees charged with the implementation,
communication, and development of specific procedures related to the
conduct, submission and data release practices for GWAS supported by
the NIH. One of these groups, the Research Participant Protection and
Data Management Steering Committee, will include among its members the
chairs of all Data Access Committees at the NIH as well as appropriate
staff from NIH policy and oversight offices (e.g., the Office of
Science Policy and the Office of Human Subjects Research). This
committee will work to promote consistent and robust participant
protections across relevant NIH programs. The second group, the
Technical Standards Steering Committee, will include membership from
scientific programs across the NIH as well as staff from the National
Center for Biotechnology Information. This committee will focus on the
challenges and needs associated with building and maintaining the NIH
GWAS data repository and on formulating or stimulating the
consideration of data standards (for genotype or phenotype data) where
appropriate. Critical input from individual genome-wide association
research programs and studies will be provided to the two Steering
Committees through the ICs' Data Access Committees or other project
oversight bodies created for specific studies, e.g., community
representative groups, scientific advisory boards.
In order to maintain GWAS policy consistent with evolving
technological and ethical considerations, the NIH Director will solicit
recommendations on the policy from external experts representing public
and scientific stakeholders through the Advisory Committee to the
Director.
III. Scientific Publication
Some respondents commented on the considerable logistical
difficulties posed by limiting the period of publication exclusivity,
particularly considering the complexity of many of the studies and the
lag time between submission and publication of peer-reviewed scientific
papers. Some respondents were concerned that submitting investigators
would not receive appropriate credit for their work and would have
insufficient control over use of their data. Concern was expressed
about enforcing compliance with publication policies. Some respondents
commented that the limited period of exclusivity could stimulate a rush
to publish initial analyses prematurely, deterring subsequent studies
and reducing the overall quality of the reports.
The NIH initially proposed that GWAS datasets be made available as
soon as appropriate quality control measures (as defined for a given
NIH program) were complete and that a 9-month period of exclusivity
would exist for primary investigators to submit analyses of GWAS
datasets for publication. The NIH believes that an extended period of
exclusivity would
[[Page 49294]]
undermine the potential benefits of data sharing. However, in response
to concerns raised through the public comment process, the NIH has
lengthened this exclusivity period to 12 months in the final policy.
The publication exclusivity period will commence on the date that a
GWAS dataset is first made available through the NIH GWAS data
repository, and the expiration date of this time period will be
featured prominently in all descriptions and overviews of the dataset
provided through both the public and controlled access pathways of the
NIH GWAS data repository. The policy now is explicit on the inclusion
within this exclusivity period of electronic and other means of
information dissemination beyond peer-reviewed publications. As part of
an overarching desire for transparency in the use of GWAS datasets, the
names, institutional affiliations, and Data Access Committee-approved
research uses for all GWAS data users will be available to the public
within the NIH GWAS data repository. GWAS data users will be encouraged
to collaborate with the primary investigators for GWAS as appropriate.
The period of exclusivity is consistent with existing practices for
other genome-wide association programs already available or in the
pipeline for deposition into the NIH GWAS data repository, and is
intended only as an upper limit as some NIH programs may stipulate
shorter (or no) publication exclusivity timelines. The NIH anticipates
that over time investigators will become more comfortable with the GWAS
data sharing policy as the benefits of greater research access to the
data are realized.
IV. Intellectual Property
Respondents raised concerns that the policy might diminish the
intellectual property rights of the submitting investigators, as well
as their ability to obtain patents. Some respondents questioned whether
the proposed policy text is a violation of the Bayh-Dole Act.
The NIH believes that the intellectual property section of the
policy presents no conflict with, or infringement upon, rights granted
by the Bayh-Dole Act or any other federally-created intellectual
property rights. Funding recipients are still able to elect title to
any inventions or discoveries developed under the respective federal
funding agreements that are or may be patentable, consistent with the
Bayh-Dole Act and NIH policies. The NIH expects that intellectual
property issues or questions that may occur will be resolvable through
appropriate negotiations under the rubrics provided previously in NIH
guidance to the research community within the Research Tools Policy
(https://ott.od.nih.gov/policy/research_tool.html) and the Best
Practices for the Licensing of Genomic Inventions (https://
www.ott.nih.gov/policy/genomic_invention.html). The NIH encourages
development of new diagnostics, therapeutics, or other interventions
building on basic discoveries, and believes they will be enabled
through the NIH GWAS data repository. The NIH anticipates that
downstream technology development opportunities will increase as a
result of broad research access to genotype-phenotype associations
provided through the GWAS policy. The NIH has engaged in informal
discussions with academic and private sector experts in intellectual
property; these interactions, as well as formal responses received from
stakeholders through the GWAS public consultation process, have
suggested that the GWAS policy is consistent with existing practices
and can be expected to better promote the development of exciting new
discoveries for the public benefit.
Policy for Genome-Wide Association Studies (GWAS)
Effective Date: January 25, 2008.
I. Principles
The NIH is interested in advancing genome-wide association studies
(GWAS) to identify common genetic factors that influence health and
disease. For the purposes of this policy, a genome-wide association
study is defined as any study of genetic variation across the entire
human genome that is designed to identify genetic associations with
observable traits (such as blood pressure or weight), or the presence
or absence of a disease or condition.\4\ Whole genome information, when
combined with clinical and other phenotype data, offers the potential
for increased understanding of basic biological processes affecting
human health, improvement in the prediction of disease and patient
care, and ultimately the realization of the promise of personalized
medicine. In addition, rapid advances in understanding the patterns of
human genetic variation and maturing high-throughput, cost-effective
methods for genotyping are providing powerful research tools for
identifying genetic variants that contribute to health and disease.
---------------------------------------------------------------------------
\4\ To meet the definition of a GWAS, the density of genetic
markers and the extent of linkage disequilibrium should be
sufficient to capture (by the r\2\ parameter) a large proportion of
the common variation in the genome of the population under study,
and the number of samples (in a case-control or trio design) should
provide sufficient power to detect variants of modest effect.
---------------------------------------------------------------------------
Consistent with the NIH mission to improve public health through
research, the NIH believes that the full value of GWAS to the public
can be realized only if the genotype and phenotype datasets are made
available as rapidly as possible to a wide range of scientific
investigators. Rapid and broad data access is particularly important
for GWAS because of the significant resources they require; the
challenges of analyzing large datasets; and the extraordinary
opportunities for making comparisons across multiple studies.
Protection of research participants is a fundamental principle
underlying biomedical research. The NIH is committed to responsible
stewardship of data throughout the research process, which is essential
to protecting the interests of study participants and to maintaining
public trust in biomedical research.
In consideration of the evolving scientific, ethical, and societal
issues related to this policy, the NIH is establishing a governance
structure for NIH GWAS activities that will:
Ensure ongoing, high-level agency oversight; and
Obtain regular input from public representatives,
including those with expertise in bioethics, privacy, data security,
and appropriate scientific and clinical disciplines; and
Revisit and revise the policy as appropriate.
II. Applicability
This NIH policy applies to:
Competing grant applications that include GWAS and are
submitted to the NIH for the January 25, 2008, and subsequent receipt
dates;
Proposals for contracts that include GWAS and are
submitted to the NIH on or after January 25, 2008; and
NIH intramural research projects that include GWAS and are
approved on or after January 25, 2008.
An application or proposal will be identified as GWAS by applicants
and/or NIH staff (see NOT-OD-06-071--https://grants.nih.gov/grants/
guide/notice-files/NOT-OD-07-071.html).
III. Data Management
Data Repository
To facilitate broad and consistent access to NIH-supported GWAS
datasets, the NIH has developed a central NIH GWAS data repository \5\
at
[[Page 49295]]
the National Center for Biotechnology Information (NCBI), National
Library of Medicine. The repository will provide a single-point of
access to basic information about NIH-supported GWAS and to available
genotype-phenotype datasets for GWAS. Although the NIH envisions that
access to all NIH-supported GWAS datasets will be possible through this
repository, it does not intend the repository to become the exclusive
point of data submission for these data, nor does it intend the central
database to delimit the structures or tools that may be appropriate for
other similar databases. The repository also will accept GWAS datasets
contributed from other sources.
---------------------------------------------------------------------------
\5\ Currently named the NIH database of Genotypes and Phenotypes
(dbGaP) (https://www.ncbi.nlm.nih.gov/entrez/query/Gap_tmpl/
about.html).
---------------------------------------------------------------------------
To ensure the security of the data held by the repository, the NCBI
will employ multiple tiers of data security (such as sequential
firewalls and independent networks) based on the content and level of
risk associated with the data. The NIH will establish and maintain
operating policies and procedures for the repository to address issues
including, but not limited to, the privacy and confidentiality of GWAS
research participants, the interests of individuals and groups, data
access procedures, and data security mechanisms. These will be reviewed
periodically by the GWAS oversight bodies.
Data Submission
All investigators who receive NIH support to conduct genome-wide
analysis of genetic variation in a study population are expected to
submit to the NIH GWAS data repository descriptive information about
their studies for inclusion in an open access portion of the NIH GWAS
data repository. All data and information will be submitted to a high
security network within the NCBI through a secure transmission process.
Submissions should include the following:
The protocol,
Questionnaires,
Study manuals,
Variables measured, and
Other supporting documentation.
In addition, the NIH strongly encourages the submission of curated
and coded phenotype, exposure, genotype, and pedigree data, as
appropriate, to the NIH GWAS data repository as soon as quality control
procedures have been completed at the local institution. These detailed
data will be made available through a controlled access process
according to the GWAS Data Access procedures (described in Data Access
section below). Investigators who elect to submit their GWAS data to
additional data repositories or networks should verify that appropriate
data security, confidentiality, and privacy measures are in place for
protection of GWAS participants. Irrespective of where the data are
submitted, researchers submitting GWAS data are encouraged to consider
whether a Certificate of Confidentiality might be appropriate for their
data as an additional safeguard with regard to involuntary disclosure
of the research participant identities. Further information about
Certificates of Confidentiality is available at the following Web site:
https://grants2.nih.gov/grants/policy/coc/.
In order to minimize risks to study participants, data submitted to
the NIH GWAS data repository will be de-identified and coded using a
random, unique code. Data should be de-identified according to the
following criteria: the identities of data subjects cannot be readily
ascertained or otherwise associated with the data by the repository
staff or secondary data users (45 CFR 46.102(f)); the 18 identifiers
enumerated at section 45 CFR 164.514(b)(2) (the HIPAA Privacy Rule) are
removed; and the submitting institution has no actual knowledge that
the remaining information could be used alone or in combination with
other information to identify the subject of the data.\6\ Keys to codes
will be held by submitting institutions. Submissions of GWAS data
should be accompanied by a written certification (detailed below)
stating that the identities of research participants will not be
disclosed to the NIH GWAS data repository. Therefore, the NIH GWAS data
repository will be unable to provide individual research results
derived from analyses of submitted data to participants. General
information regarding known publications analyzing GWAS datasets will
be made available through the repository.
---------------------------------------------------------------------------
\6\ The identities of data subjects cannot be readily
ascertained or otherwise associated with the data by the repository
staff or secondary data users (Common Rule); and the following data
elements have been removed (HIPAA Privacy Rule).
1. Names.
2. All geographic subdivisions smaller than a state, including
street address, city, county, precinct, ZIP Code, and their
equivalent geographical codes, except for the initial three digits
of a ZIP Code if, according to the current publicly available data
from the Bureau of the Census: a. The geographic unit formed by
combining all ZIP Codes with the same three initial digits contains
more than 20,000 people. b. The initial three digits of a ZIP Code
for all such geographic units containing 20,000 or fewer people are
changed to 000.
3. All elements of dates (except year) for dates directly
related to an individual, including birth date, admission date,
discharge date, date of death; and all ages over 89 and all elements
of dates (including year) indicative of such age, except that such
ages and elements may be aggregated into a single category of age 90
or older.
4. Telephone numbers.
5. Facsimile numbers.
6. Electronic mail addresses.
7. Social Security numbers.
8. Medical record numbers.
9. Health plan beneficiary numbers.
10. Account numbers.
11. Certificate/license numbers.
12. Vehicle identifiers and serial numbers, including license
plate numbers.
13. Device identifiers and serial numbers.
14. Web universal resource locators (URLs).
15. Internet protocol (IP) addresses numbers.
16. Biometric identifiers, including fingerprints and
voiceprints.
17. Full-face photographic images and any comparable images.
18. Any other unique identifying number, characteristic, or
code, unless otherwise permitted by the Privacy Rule for re-
identification.
In addition, the submitting institution should have no actual
knowledge that the remaining information could be used alone or in
combination with other information to identify the individual who is
the subject of the information.
---------------------------------------------------------------------------
All submissions to the NIH GWAS data repository should be
accompanied by a certification by the responsible Institutional
Official(s) of the submitting institution that they approve submission
to the NIH GWAS data repository.
The certification should assure that:
The data submission is consistent with all applicable laws
and regulations,\7\ as well as institutional policies;
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\7\ Applicable federal regulations may include HHS human
subjects regulations (45 CFR part 46), FDA human subjects
regulations (21 CFR parts 50 and 56), and the Health Insurance
Portability and Accountability Act Privacy Rule (45 CFR part 160 and
part 164, Subparts A and E).
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The appropriate research uses of the data and the uses
that are specifically excluded by the informed consent documents are
delineated;
The identities of research participants will not be
disclosed to the NIH GWAS data repository; and
An IRB and/or Privacy Board, as applicable, reviewed and
verified that:
[cir] The submission of data to the NIH GWAS data repository and
subsequent sharing for research purposes are consistent with the
informed consent of study participants from whom the data were
obtained;
[cir] The investigator's plan for de-identifying datasets is
consistent with the standards outlined above;
[cir] It has considered the risks to individuals, their families,
and groups or populations associated with data submitted to the NIH
GWAS data repository; and
[cir] The genotype and phenotype data to be submitted were
collected in a manner consistent with 45 CFR part 46.
While the NIH encourages data sharing through this policy,
[[Page 49296]]
circumstances beyond the control of investigators may preclude
submission of GWAS data to the NIH GWAS data repository. Applications
submitted to the NIH for support of GWAS in which the above
expectations for data submission cannot be met will be considered for
funding on a case-by-case basis by the appropriate IC.
Submitting investigators and their institutions may request removal
of data on individual participants from the NIH GWAS data repository in
the event that a research participant withdraws his or her consent.
However, data that have been distributed for approved research use will
not be retrieved.
Data Access
The basic descriptive and aggregate summary information submitted
to the NIH GWAS data repository for each NIH-supported or conducted
GWAS will be available publicly through the NIH GWAS data repository.
Access to the genotype and phenotype datasets submitted and stored in
the NIH GWAS data repository, along with appropriate automated
calculations (e.g., quality control measures, simple genotype-phenotype
associations, or a listing of all variants known to be in linkage
disequilibrium \8\ with variants measured in the genotype), will be
provided for research purposes through an NIH Data Access Committee
(DAC). Membership of the DACs will include Federal staff with relevant
expertise in areas such as the relevant particular scientific
disciplines, research participant protection, and privacy. The NIH
anticipates that individual DACs may be established based on
programmatic areas of interest and the relevant needs for technical and
ethics expertise. All DACs will operate according to common principles
and follow similar procedures to ensure the consistency and
transparency of the GWAS data access process.
---------------------------------------------------------------------------
\8\ Linkage disequilibrium information will be based on data
from the International HapMap Project (https://www.hapmap.org/).
---------------------------------------------------------------------------
Investigators and institutions seeking data from the NIH GWAS data
repository will be expected to meet data security measures (such as
physical security, information technology security, and user training)
and will be asked to submit a data access request, including a Data Use
Certification, that is co-signed by the investigator and the designated
Institutional Official(s). Data access requests should include a brief
description of the proposed research use of the requested GWAS
dataset(s). Within a Data Use Certification investigators will agree,
among other things,\9\ to:
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\9\ Investigators requesting access to GWAS datasets who also
have access to identifying information for the individuals within
the dataset will require IRB approval.
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Use the data only for the approved research;
Protect data confidentiality;
Follow appropriate data security protections;
Follow all applicable laws, regulations and local
institutional policies and procedures for handling GWAS data;
Not attempt to identify individual participants from whom
data within a dataset were obtained;
Not sell any of the data elements from datasets obtained
from the NIH GWAS data repository;
Not share with individuals other than those listed in the
request any of the data elements from datasets obtained from the NIH
GWAS data repository;
Agree to the listing of a summary of approved research
uses within the NIH GWAS data repository along with his or her name and
organizational affiliation;
Agree to report, in real time, violations of the GWAS
policy to the appropriate DAC;
Acknowledge the GWAS policy with regard to publication and
intellectual property; and
Provide annual progress reports on research using the GWAS
dataset.
Data Access Committees or their designees will review requests for
access to determine whether the proposed use of the dataset is
scientifically and ethically appropriate and does not conflict with
constraints or informed consent limitations identified by the
institutions that submitted the dataset to the NIH GWAS data
repository. In the event that requests raise concerns related to
privacy and confidentiality, risks to populations or groups, or other
concerns, the DAC will consult with other experts as appropriate.
IV. Publication
The NIH expects that investigators who contribute data to the NIH
GWAS data repository will retain the exclusive right to publish
analyses of the dataset for a defined period of time following the
release of a given genotype-phenotype dataset through the NIH GWAS data
repository (including the pre-computed analyses of the data). During
this period of exclusivity, the NIH will grant access through the DACs
to other investigators, who may analyze the data, but are expected not
to submit their analyses or conclusions for publication during the
exclusivity period. The maximum period of exclusivity is twelve months
from the date that the GWAS dataset is made available for access
through the NIH GWAS data repository, although a shorter period of
exclusivity may be determined by the NIH funding IC. Contributing
investigators are encouraged to shorten the period of publication
exclusivity at their own discretion. Publication exclusivity is
expected to extend to all forms of public disclosure, including meeting
abstracts, oral presentations, and publicly accessible electronic
submissions (e.g., Web sites, web blogs). Following expiration of the
exclusive publication period for a given GWAS dataset, the NIH expects
that all investigators with access to the data may submit publications
or present analyses for any purpose consistent with the practices and
policies of their institutions and the NIH. The NIH also expects all
investigators who access GWAS datasets to acknowledge the Contributing
Investigator(s) who conducted the original study, the funding
organization(s) that supported the work, and the NIH GWAS data
repository in all resulting oral or written presentations, disclosures,
or publications of the analyses.
V. Intellectual Property
It is the hope of the NIH that genotype-phenotype associations
identified through NIH-supported and NIH-maintained GWAS datasets and
their obvious implications will remain available to all investigators,
unencumbered by intellectual property claims. The NIH discourages
premature claims on pre-competitive information that may impede
research, though it encourages patenting of technology suitable for
subsequent private investment that may lead to the development of
products that address public needs.
The NIH will provide approved GWAS data users with certain
automated calculations (described under the Data Access section) as a
component of the GWAS datasets distributed through the NIH GWAS data
repository.
The NIH expects that NIH-supported genotype-phenotype data made
available through the NIH GWAS data repository and all conclusions
derived directly from them will remain freely available, without any
licensing requirements, for uses such as, but not necessarily limited
to, markers for developing assays and guides for identifying new
potential targets for
[[Page 49297]]
drugs, therapeutics, and diagnostics. The intent is to discourage the
use of patents to prevent the use of or block access to any genotype-
phenotype data developed with NIH support. The NIH encourages broad use
of NIH-supported genotype-phenotype data that is consistent with a
responsible approach to management of intellectual property derived
from downstream discoveries, as outlined in the NIH's Best Practices
for the Licensing of Genomic Inventions (https://www.ott.nih.gov/policy/
genomic_invention.html) and its Research Tools Policy (https://
ott.od.nih.gov/policy/research_tool.html).
The filing of patent applications and/or the enforcement of
resultant patents in a manner that might restrict use of NIH-supported
genotype-phenotype data could diminish the potential public benefit
they could provide. Approved users and their institutions, through the
execution of an NIH Data Use Certification, will acknowledge the goal
of ensuring the greatest possible public benefit from NIH-supported
GWAS.
Expectations Defined in the Policy for Investigators
The detailed expectations are enumerated in the individual sections
of this policy, and summarized as follows:
Investigators Submitting GWAS Data Are Expected To
Provide descriptive information about their studies;
Submit coded genotypic and phenotypic data to the NIH GWAS
data repository; and
Submit certification by the Institutional Official(s) of
the responsible submitting institution that it has reviewed and
approved submission to the NIH, noting any limitations on data use
based on the relevant informed consents and providing assurance that
all data are submitted to the NIH in accord with applicable laws and
regulations and that the identities of research participants will not
be disclosed to the NIH GWAS data repository.
Investigators Requesting and Receiving GWAS Data Are Expected To
Submit a description of the proposed research project;
Submit a data access request, including a Data Use
Certification co-signed by the designated Institutional Official(s) at
their sponsoring institution;
Protect data confidentiality;
Ensure that data security measures are in place;
Notify the appropriate Data Access Committee of policy
violations; and
Submit annual progress reports detailing significant
research findings.
Inquiries
Specific questions about this Notice should be directed to: Laura
Lyman Rodriguez, PhD, Special Advisor to the Director, National Human
Genome Research Institute, 31 Center Drive, Room 4B09, Bethesda, MD
20892, Phone: 301-496-0844. Sam Shekar, M.D., M.P.H., Assistant Surgeon
General and Director, Office of Extramural Programs, Office of
Extramural Research, 1 Center Drive, Bethesda, MD 20892, Phone: 301-
435-3492.
E-mail inquiries should be directed to GWAS@nih.gov.
Additional information and detailed implementation guidance related
to the NIH GWAS Policy will be provided at https://grants.nih.gov/
grants/gwas/index.htm.
Dated: August 22, 2007.
Elias A. Zerhouni,
Director, National Institutes of Health.
[FR Doc. E7-17030 Filed 8-27-07; 8:45 am]
BILLING CODE 4140-01-P