Use of Public Human Genetic Variant 
Databases to Support Clinical Validity 
for Genetic and Genomic-Based In 
Vitro Diagnostics 
Guidance for Stakeholders and 
Food and Drug Administration Staff
Document issued on April 13, 2018.
The draft of this document was issued on July 8, 2016.
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See additional PRA statement in Section 7 of the guidance.
For questions about this document concerning devices regulated by CDRH, contact 
OIRPMGroup@fda.hhs.gov.  For questions regarding this document as applied to devices 
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U.S. Department of Health and Human Services
Food and Drug Administration
Center for Devices and Radiological Health
Center for Biologics Evaluation and Research Contains Nonbinding Recommendations 
 
Preface 
Public Comment 
You may submit electronic comments and suggestions at any time for Agency consideration to 
https://www.regulations.gov. Submit written comments to the Dockets Management Staff, Food 
and Drug Administration, 5630 Fishers Lane, Room 1061, (HFA-305), Rockville, MD 20852. 
Identify all comments with the docket number FDA-2016-D-1233. Comments may not be acted 
upon by the Agency until the document is next revised or updated 
Additional Copies 
CDRH 
Additional copies are available from the Internet.  You may also send an e-mail request to CDRH-
Guidance@fda.hhs.gov to receive a copy of the guidance.  Please use the document number 16008 
to identify the guidance you are requesting. 
CBER 
Additional copies are available from the Center for Biologics Evaluation and Research (CBER), by 
written request, Office of Communication, Outreach, and Development (OCOD), 10903 New 
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4709 or 240-402-8010, by email, ocod@fda.hhs.govor from the Internet at 
http://www.fda.gov/BiologicsBloodVaccines/GuidanceComplianceRegulatoryInformation/Guidan
ces/default.htm. 
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Table of Contents 
I.  Introduction .........................................................................................................................4
II.  Background.........................................................................................................................4
III.  Scope ...................................................................................................................................7
IV.  Definitions...........................................................................................................................7
V.  Recommendations to Support Recognition of Publicly Accessible Genetic Variant 
Databases of Human Genetic Variants as Sources of Valid Scientific Evidence 
Supporting Clinical Validity of Genetic and Genomic-Based Tests ..................................8
A.  Database Procedures and Operations....................................................................9
B.  Data Quality ........................................................................................................ 10
C.  Variant Evaluation and Assertions ...................................................................... 10
D.  Professional Training and Conflicts of Interest ................................................... 12
VI.  FDAs Genetic Variant Database Recognition Process .................................................... 12
A.  Recognition Process for Genetic Variant Databases ........................................... 13
1.  Submission for Recognition ........................................................................... 13
2.  FDA Review of Genetic Variant Database Policies and Procedures ............. 14
3.  Maintenance of FDA Recognition ................................................................. 15
B.  Use of Third Parties ............................................................................................. 15
C.  Use of Data and Assertions from FDA-Recognized Genetic Variant Databases 16
VII.  Paperwork Reduction Act of 1995 .................................................................................... 16
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Use of Public Human Genetic Variant 
Databases to Support Clinical Validity 
for Genetic and Genomic-Based In 
Vitro Diagnostics  
Guidance for Stakeholders and  
Food and Drug Administration Staff 
This guidance represents the current thinking of the Food and Drug Administration (FDA or 
Agency) on this topic. It does not establish any rights for any person and is not binding on 
FDA or the public. You can use an alternative approach if it satisfies the requirements of the 
applicable statutes and regulations. To discuss an alternative approach, contact the FDA staff 
or Office responsible for this guidance as listed on the title page.  
I.  Introduction 
This guidance document describes one part of FDAs efforts to create a flexible and adaptive 
regulatory approach to the oversight of next generation sequencing (NGS)-based tests. The goal 
of this effort is to help ensure patients receive accurate, reliable, and clinically meaningful test 
results, while promoting innovation in test development. This guidance document describes how 
publicly accessible databases of human genetic variants can serve as sources of valid scientific 
evidence to support the clinical validity of genotype-phenotype relationships in FDAs 
regulatory review of both NGS-based tests and genetic and genomic tests based on other 
technologies. Publicly accessible genetic databases may be useful to support the clinical validity 
of NGS tests as well as single gene or panel tests that use other technology.  
FDAs guidance documents, including this guidance document, do not establish legally 
enforceable responsibilities. Instead, guidance documents describe the Agencys current thinking 
on a topic and should be viewed only as recommendations, unless specific regulatory or statutory 
requirements are cited. The use of the word should in Agency guidance means that something is 
suggested or recommended, but not required.  
II.  Background 
Advances in genetic testing, such as NGS, can enable rapid, broad, and deep sequencing of a 
portion of a gene, an entire exome(s), or a whole genome and may be used clinically for a variety 
of diagnostic purposes, including risk prediction, diagnosis, and treatment selection for a disease 
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or condition.  The rapid adoption of NGS-based tests in both research and clinical practice is 
leading to identification of an increasing number of genetic variants, including rare variants that 
may be unique to a single individual or family. Understanding the clinical significance of these 
genetic variants holds great promise for the future of personalized medicine. 
Although the importance of genetic variant data aggregation is widely recognized, today much of 
the data that would be useful to support clinical validity of genetic and genomic-based tests is 
generally stored in a manner in which it is not publicly accessible.  Aggregation of clinical 
genotype-phenotype associations and evaluation of the evidence underlying these associations 
under a well-defined process will continue to promote more rapid translation of genetic 
information into useful clinical evidence. 
For the purposes of this guidance document, a genetic variant database is a publicly accessible 
database of human genetic variants that aggregates and curates reports of human genotype-
phenotype relationships to a disease or condition with publicly available documentation of 
evidence supporting those linkages. Genetic variant databases also include assertions about 
specific genotype-phenotype correlations. As a best practice, these databases should follow an 
open-access model (e.g., information about an assertion and the evidence underlying it is 
publicly accessible to anyone at no charge), to foster greater accuracy, understanding, and use.  
However, databases that use licensing models and charge fees for commercial use may also fall 
within the scope of this guidance.  While out of the scope of this guidance document, proprietary 
databases or ones that charge fees for public access may also be sources of valid scientific 
evidence that could be used to support the clinical validity of genetic or genomic-based tests. 
Test developers who rely upon these databases may find the recommendations within this 
guidance useful in preparing premarket submissions for those IVDs.  Any database administrator 
who has questions about whether or not data from their database could be relied on as valid 
scientific evidence should contact the FDA using the contact information referenced above. 
FDA believes that the aggregation, curation, and evaluation of clinical genotype-phenotype 
associations in genetic variant databases could support the clinical validity of assertions made 
about a variant detected by a genetic or genomic-based test and a disease or condition.  In relying 
on assertions in genetic variant databases that follow the recommendations in this guidance, FDA 
hopes to encourage the deposition of genetic variant information in such publicly accessible 
databases, reduce regulatory burden on test developers, and spur advancements in the evaluation 
and implementation of precision medicine.   
Publicly Accessible Databases of Human Genetic Variants as Sources of Valid Scientific 
Evidence Supporting Clinical Validity  
To determine whether a genetic or genomic-based test has a reasonable assurance of safety and 
effectiveness, which, for IVDs, generally means a reasonable assurance of analytical and clinical 
validity, the Agency relies upon the review of valid scientific evidence to support the analytical 
and clinical performance of the test. Valid scientific evidence1 could be evidence from well-
controlled investigations, partially controlled studies, studies and objective trials without 
                                                 
1 21 CFR 860.7.   
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matched controls, which includes the testing of banked human specimens, well-documented case 
histories conducted by qualified experts, and reports of significant human experience with a 
marketed device, such as in certain clinical practice guidelines, from which it can fairly and 
responsibly be concluded by qualified experts that there is [a] reasonable assurance of safety and 
effectiveness.  In determining whether a particular genetic and genomic-based test has a 
reasonable assurance of safety and effectiveness, FDA must determine, based on valid scientific 
evidence, that in a significant portion of the target population, the use of the device for its 
intended uses and conditions of use, when accompanied by adequate directions for use and 
warnings against unsafe use, will provide clinically significant results.2 
The evidence residing in many genetic variant databases has been collected from multiple 
sources that can meet the valid scientific evidence definition, such as evidence from well-
controlled clinical investigations, clinical evidence generated in CLIA (Clinical Laboratory 
Improvement Amendments of 1988)-certified laboratories, published peer-reviewed literature, 
and certain case study reports.  Some organizations that are developing genetic variant databases 
have adopted protocols and methodologies and/or external guidelines (e.g., from professional 
societies or standards development organizations) for evidence aggregation, curation, and 
evaluation practices. While evaluation processes may vary across databases and organizations, 
they typically involve the use of qualified experts who make informed conclusions about the 
presence or absence of a genetic variant and its meaning for a particular disease or clinical 
decision.     
Further, there are several parallels between the processes set forth by well-recognized 
professional guidelines for variant evaluation and FDA review of clinical validity.  Individuals 
evaluating variants use a range of evidence, including the types and positions of variants, 
inheritance, prevalence, well-established functional studies, and prior knowledge of gene-disease 
relationships. Generally, the standards for use of evidence appear to parallel the types of 
evidence appropriate to support an FDA premarket submission. Under 21 CFR 860.7(c)(2), 
isolated case reports, random experience, reports lacking sufficient details to permit scientific 
evaluation, and unsubstantiated opinions are not regarded as valid scientific evidence. FDA 
assesses clinical validity based on the totality of available evidence provided in a given 
submission. Similarly, well-recognized professional guidelines recommend that individuals 
evaluating variants integrate multiple lines of evidence to make an assertion of clinical validity. 
As such, case series that consist of two or more similar observational studies are more highly 
regarded as evidence to support a genotype-phenotype association.  
The Agency believes such practices for evaluation of genetic variants help assure the quality of 
data and assertions within genetic variant databases and has built upon these approaches in 
developing the recommendations in this guidance. 
FDA has long believed that public access to supporting data is important so that all interested 
persons (e.g., healthcare providers and patients) can make the most informed medical treatment 
decisions possible.  To that end, for all IVDs that have received premarket clearance or De Novo 
classification from FDA since November 2003, FDA has published a Decision Summary that 
                                                 
2 21 CFR 860.7(e)(1). 
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includes a review of the analytical and clinical validity data submitted by the applicant to support 
the submission and FDAs justification in clearing or classifying the IVD; FDA is also required 
to publish Summaries of Safety and Effectiveness Data for approved PMAs under Section 520(h) 
of the Federal Food, Drug, and Cosmetic Act (FD&C Act). FDA believes that similar public 
availability and access to data contained in genetic variant databases is important to patients and 
healthcare providers in order to make fully informed medical decisions. 
FDA believes that if genetic variant databases follow the recommendations in this document, the 
data and assertions within would generally constitute valid scientific evidence that can be used to 
support clinical validity for purposes of FDA approval.   
III.  Scope  
This guidance document describes FDAs considerations in determining whether a genetic 
variant database is a source of valid scientific evidence that could support the clinical validity of 
genetic and genomic-based tests in a premarket submission, regardless of the type of technology 
for the test (e.g., NGS, Sanger sequencing, PCR). This guidance further outlines the process by 
which administrators of publicly accessible genetic variant databases could voluntarily apply to 
FDA for recognition, and how FDA would assess such applications and periodically reevaluate 
recognized databases.  
The genetic variant databases discussed in this guidance only include those that make assertions 
about human genetic variants, and do not include databases that direct therapies and databases 
used for microbial genome identification and detection of antimicrobial resistance and virulence 
markers. This guidance does not apply to software used to classify and interpret genetic variants, 
but instead, only regards use of curated databases using expert human evaluation.  
IV.  Definitions 
The following definitions are supplied to provide the reader with an understanding of the specific 
terms used in this guidance. These definitions should not be construed to be new interpretations 
or clarification of similar words or phrases in the FD&C Act, FDA regulations, other laws, or 
other guidance documents.  
  Aggregation: the process by which variant data are systematically collected, input, and 
maintained in a genetic variant database. This process may require that data conform to 
specified formats. 
  Assertion: the informed assessment of a genotype-phenotype correlation (or lack thereof) 
given the current state of knowledge for a particular variant. An assertion is generally 
noted in the genetic variant database entry for a particular variant (e.g., benign, drug 
resistant, etc.). 
  Curation: the process by which data regarding a specific variant are selected from various 
sources and annotated over time. 
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  Data Administrator: FDA acknowledges that many databases may not use the term 
administrator or may have a committee of individuals that oversee the database. 
Therefore, for the purpose of this guidance, a genetic variant database administrator is the 
entity or entities that oversee database operations.  
  Evaluation: the process by which individuals associated with a genetic variant database 
assess the evidence regarding a linkage between a genetic variant and a disease or 
condition and make an assertion about that linkage (or lack thereof). 
  Protocol: an evidence-based tool (e.g., decision matrix, scoring system, algorithm, etc.) 
used to guide the evaluation of the genotype-phenotype relationship between variants and 
diseases or conditions.   
V.  Recommendations to Support Recognition of Publicly 
Accessible Genetic Variant Databases of Human Genetic 
Variants as Sources of Valid Scientific Evidence 
Supporting Clinical Validity of Genetic and Genomic-
Based Tests  
FDA believes that the evidence and assertions contained in a genetic variant database that 
conforms to the recommendations described below would generally constitute valid scientific 
evidence that can be used to support the clinical validity of a genetic and genomic-based test in a 
premarket submission, and therefore such database could be recognized by FDA for such use. 
FDA believes that such a genetic variant database would: (1) operate in a manner that provides 
sufficient information and assurances regarding the quality of source data and its evidence 
review and variant assertions; (2) provide transparency regarding its data sources and its 
operations, particularly around how variant evidence is evaluated; (3) collect, store, and report 
data and conclusions in compliance with all applicable requirements regarding protected health 
information, patient privacy, research subject protections, and data security; and (4) house 
genetic variant information generated by validated methods.   
In the subsections below, FDA discusses recommendations for the operation of a genetic variant 
database, and the aggregation, curation, and evaluation of data therein, so that such data would 
generally constitute valid scientific evidence supportive of clinical validity.  FDA acknowledges 
that individual genetic variant databases may have different, but equally scientifically valid, 
approaches to assuring data quality, clinical relevance, data security, patient privacy, and 
transparency. Additionally, FDA recognizes that several professional societies have developed or 
are developing guidelines for genetic variant curation and evaluation that may differ depending 
upon discipline, but may each be appropriate in the context of their purpose. Genetic variant 
database administrators should focus on ensuring that their procedures and quality requirements 
are sufficiently robust to provide a high degree of confidence in their assertions regarding 
genotype-phenotype associations. 
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A.  Database Procedures and Operations 
Transparency and Public Accessibility:  FDA recommends that genetic variant database 
administrators make publicly available sufficient information regarding data sources and 
standard operating procedures (SOPs) for evaluation of evidence to allow FDA and the public to 
understand the criteria and processes used to collect and evaluate evidence about variants and 
enable patients and healthcare providers to make fully informed medical decisions.  
SOP Version Control: SOPs should define how variant information is aggregated, curated, and 
evaluated. These SOPs should be documented and versioned. Changes to SOPs should be clearly 
documented with sufficiently detailed information regarding the change accompanied by any 
necessary explanation to ensure all stakeholders understand any limitations created by or 
implications of the change in procedure. To maintain quality variant assertions and ensure that 
genetic variant database operations keep pace with advances in technology and scientific 
knowledge, operations and SOPs should be reviewed at least annually.  
Data Preservation: FDA recommends that genetic variant database administrators have 
processes in place for assessing overall database stability and architecture and for ensuring that 
data linkages are properly maintained.  When a genetic variant database contains linkages to 
secondary databases, the genetic variant database administrator should have predefined processes 
in place to recognize changes to the secondary databases and account for them in version control 
of the primary database. FDA recommends genetic variant database administrators back-up the 
database on a regular basis so that it can be reinstated as necessary. 
Genetic variant database administrators should have a plan in place to ensure database content 
and processes are preserved in the event a genetic variant database ceases operations 
permanently or temporarily (e.g., a database loses funding, infrastructure upgrades). A location 
to deposit data, including versioning information and supporting SOPs and documentation, in the 
event that the genetic variant database ceases operation should be identified.  
Security and Privacy: Genetic variant database operations must be in compliance with all 
applicable federal laws and regulations (e.g., the Health Insurance Portability and Accountability 
Act, the Genetic Information Nondiscrimination Act, the Privacy Act, the Federal Policy for the 
Protection of Human Subjects (Common Rule), etc.) regarding protected health information, 
patient privacy, research involving human subjects, and data security, as applicable.  The genetic 
database administrator should identify the applicable laws and regulations to assure that any 
requirements are addressed and transparently documented. Genetic variant database 
administrators should also put in place adequate security measures to ensure the protection and 
privacy of personally identifiable information and protected health information and provide 
training for database staff on security and privacy protection.  
Data formats and nomenclature: To facilitate genetic variant database use for regulatory 
purposes and to help assure the accuracy and quality of variant assertions, genetic variant 
database administrators should employ commonly accepted data formats and identify which 
format is used by the genetic database.  Furthermore, genetic variant databases should use 
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consistent nomenclature that is widely accepted by the genomics community for gene names 
and/or symbols, genomic coordinates, variants, described clinical and functional characteristics, 
and classifications.  The genetic variant database administrator should also make available a 
description of which nomenclature is used to allow FDA and external users to accurately 
understand the information presented. This standardization will help minimize ambiguity 
regarding variants and better enable comparisons of variant assertions between different 
databases or other entities.  
B.  Data Quality 
It is essential that the data regarding genotypes and phenotypes or clinical information placed 
into the genetic variant database are of sufficient quality and based on current scientific 
knowledge in order for there to be a reasonable assurance that the assertions made linking 
specific genetic variants to diseases or conditions are accurate.  
Metadata: Variant data in the genetic variant database should be accompanied by metadata 
appropriate to the type of variant. To the extent possible or applicable, this metadata should 
include information about the analytical performance of the test used to detect the variant, 
including the number of independent laboratories and/or studies reporting the variant, name of 
the laboratory(ies) that reported the variant, the name of the test used to detect the variant, and 
details of the technical characteristics of the test that was used (e.g., reference sequence version 
or build, instrument, software, bioinformatics tools, etc.). For germline variants, metadata should 
also include, to the extent possible, variant characteristics (which could include but is not limited 
to, patient ethnicity, zygosity, phasing, and segregation). For somatic variants, metadata should 
include, to the extent possible, additional information about the context in which the variant was 
detected (which could include but is not limited to, variant allele frequency, tumor only versus 
tumor-normal matched sequencing, cellularity).  For cases in which multiple genetic variants 
factor into determining the overall risk of developing a disease or condition, database 
administrators should include any multivariant or polygenic scoring methods used in the 
metadata. As applicable, database administrators should also include as much information as is 
available regarding the contribution of environmental exposures to the development of a 
genotype-associated disease or condition. 
Genetic variant databases should clearly and transparently document evidence source(s) used to 
support variant assertions (e.g., literature, well-documented case histories).  As discussed in 
Section IV.A., database administrators should take into consideration applicable security and 
privacy requirements when collecting and reporting this metadata. 
Data Uniqueness: Genetic variant database operations should also include methods to ensure that 
individual data points (e.g., a variant from one individual for a particular phenotype) are not 
represented more than once in the database.  
 
C.  Variant Evaluation and Assertions  
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Variant Evaluation: Written SOPs for variant evaluation, including evaluation of data from 
clinical practice guidelines, peer-reviewed literature, and pre-curated knowledge bases, should be 
available to the public for review. SOPs should generally include validated protocols  for 
evaluation. All genetic variant database evaluation rules, and future modifications of those rules, 
should be explained and made available to the public. Furthermore, if variant assertions from 
other sources are to be integrated into the genetic variant database, then the evaluation processes 
and data quality of those outside sources should be clearly identified and audited by the database 
administrator on a regular basis.  
FDA believes that each variant evaluation should be performed by at least two qualified and 
trained professionals to lessen the risk that any single assertion could be incorrectly made.  In 
cases where it is not feasible for a database administrator to have two independent professionals 
evaluating the same variant, there should be other ways to mitigate the risk of an incorrect 
assertion (e.g., multiple levels of review, use of curator training modules). Furthermore, genetic 
variant databases should have SOPs for resolving internal differences in evaluation. Providing 
SOPs publicly for each of these activities will facilitate outside users review of the evidence used 
in variant evaluation. 
FDA believes that use of publicly available and validated protocols for variant evaluation is 
important to assuring that assertions from genetic variant databases constitute valid scientific 
evidence supporting the clinical validity of a test.  FDA reviewers evaluate evidence in the 
context of a tests intended use and conditions of use,3 including specific facts about genes or 
diseases under consideration (e.g., population incidence of a disease, variant incidence, 
relationship of a variant with respect to ethnicity or haplotype) in their review.  Similarly, such 
factors should be incorporated into a finalized protocol.  
Assertions: The types of evidence used for evaluating variants, and their corresponding strengths, 
should be defined and combined in a protocol. Generally, these protocols should meet the 
following recommendations:  
  Protocols should incorporate multiple lines of scientific evidence, where 
available, and appropriately weigh each line of evidence. 
  Protocols should use a tiered system of assertions (e.g., pathogenic, likely 
pathogenic) and adequately describe the meanings of each tier. 
  Protocols should incorporate unique details of the gene/disease or condition being 
evaluated, where available or applicable. 
  Protocols should be validated. 
  All protocols and details supporting each variant assertion should be made 
available to the public. 
Assertions within a genetic variant database should be appropriate to the level of certainty and 
the nature of the genotype-phenotype relationship, as well as be adequately supported.  
Assertions should report known variant associations with respect to ethnicity or haplotype, when 
                                                 
3 Section 513(a)(2) of the FD&C Act; 21 CFR 860.7(e)(1). 
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relevant. Assertions should be versioned, such that changes in assertions over time are identified 
and maintained. Genetic variant databases should also have mechanisms in place to receive 
feedback about individual variant assertions (e.g., ability for users to report that there is new or 
contradictory evidence available regarding a variant assertion) and processes to document, 
evaluate, and resolve, if necessary, such discordances. 
Assertions and the evidence underlying them should be truthful and not misleading and be made 
in language that is clear and understandable.  In order to be FDA-recognized, a genetic variant 
database should not include any recommendations regarding clinical treatment or diagnosis.  
However, an assertion that states that a variant is clinically significant as an actionable mutation 
may be found within an FDA-recognized genetic variant database.  
FDA recommends that assertions include descriptive language about a variant such as clinically 
significant, pathogenic, benign, likely pathogenic, likely benign, variant of unknown 
significance, etc. as long as such language is truthful, not misleading, and supported by adequate 
evidence detailed within the genetic variant database.  
FDA believes that it is generally not scientifically appropriate to make a definitive assertion 
(e.g., pathogenic) about the clinical validity of a variant based on a single piece of evidence, or 
only on weak evidence.  Assertions that a particular genotype-phenotype association is clinically 
valid should generally involve multiple lines of evidence and, at a minimum, should identify a 
primary source of scientific evidence and other supporting evidence. Further, wherever 
appropriate to avoid any potential misunderstanding regarding the strength of the evidence 
supporting an assertion, the assertion should include a clear description of the evidence 
associated with it.   
D.  Professional Training and Conflicts of Interest 
Professional Training: FDA recognizes that many different types of genetics professionals may 
be involved in the curation and processes for evaluation as part of a team (e.g., genetic 
counselors, Ph.D.-level scientists, physicians). Adequate training and expertise of individuals 
evaluating variants plays an important role in the quality of variant review and evaluation. 
Individuals evaluating variants should have received adequate training and there should be 
methodologies in place to ensure that such individuals meet and maintain high quality standards 
over time. 
Conflicts of Interest: Conflicts of interest, especially financial ones, could introduce bias and 
undermine the quality of variant assertions in genetic variant databases, as well as the confidence 
in such assertions, if not adequately mitigated.  To be considered for recognition by FDA, efforts 
should be made to minimize, and make transparent, any potential conflicts of interest.   
 
VI.  FDAs Genetic Variant Database Recognition Process 
FDA believes that data and assertions from genetic variant databases that follow the 
recommendations discussed in this document would generally constitute valid scientific evidence 
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supportive of clinical validity in a premarket submission. Therefore, FDA intends to implement a 
recognition process for publicly accessible genetic variant databases and their assertions to 
streamline premarket review of genetic and genomic-based tests. The genetic variant database 
recognition process discussed in this document is similar to the standards recognition process 
under section 514 of the FD&C Act, but would not be conducted under this provision. Specific 
variant assertions and underlying data from a recognized genetic variant database could generally 
be submitted by genetic and genomic-based test developers as part of their premarket review 
submission, if applicable, in some cases without submission of additional clinical data regarding 
that variant.  
Participation in the FDA database recognition process is voluntary and participation would not 
subject the database to FDA oversight, beyond that needed to retain the recognition. For genetic 
variant database administrators who wish to undergo voluntary recognition, this section describes 
FDAs recommended process for genetic variant database recognition. When evidence from 
proprietary sources or genetic variant databases that have not been recognized by FDA are used 
to support the clinical performance of genetic and genomic-based tests, detailed information 
regarding such sources of evidence should be included in the premarket submission for that test.  
FDA intends for its process for recognition of genetic variant databases to involve three steps: 
(1) voluntary submission of detailed information about the database; (2) FDA review of genetic 
variant database policies and procedures for obtaining and maintaining data and making variant 
assertions; and (3) maintenance of FDA recognition of a database. These steps are discussed in 
detail below.   
A.  Recognition Process for Genetic Variant Databases  
1.  Submission for Recognition 
Administrators of genetic variant databases seeking to have their assertions be considered by 
FDA as valid scientific evidence that could provide support for the clinical validity of genetic 
and genomic-based tests should make a voluntary submission to FDA for genetic variant 
database recognition. FDA notes that such a request could be for the totality of a genetic variant 
database, or, at the database administrators discretion, a subset of the database as defined by the 
database administrator. Such a submission should demonstrate that the recommendations in this 
document have been followed or explain why an alternative approach was taken. FDA 
encourages genetic variant database administrators seeking recognition of their genetic variant 
database to contact FDA through the Q-Submission Program.4  More information on the 
Database Recognition Program and instructions for recognition requests are available on the  
FDA Recognition of Public Human Genetic Variant Databases webpage.5 
                                                 
4 Further information about the Q-Submission Program can be found in the FDA guidance document entitled 
Requests for Feedback on Medical Device Submissions: The Pre-Submission Program and Meetings with Food and 
Drug Administration Staff  Guidance for Industry and Food Administration Staff 
(https://www.fda.gov/downloads/medicaldevices/deviceregulationandguidance/guidancedocuments/ucm311176.pdf) 
5 See https://www.fda.gov/MedicalDevices/ProductsandMedicalProcedures/InVitroDiagnostics/PrecisionMedicine-
MedicalDevices/ucm603675.htm. 
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2.  FDA Review of Genetic Variant Database Policies and 
Procedures 
The intent of this section is to provide additional information to genetic variant database 
administrators regarding the type of documentation that should be provided to FDA staff for the 
purpose of voluntary genetic variant database recognition.  Complete documentation should 
address all of the recommendations in this guidance.  
The following types of documents, which show that the recommendations in this guidance have 
been met, should be submitted in an application for recognition:  
  SOPs, policies or other documents related to the recommendations in this guidance, such 
as: 
o  General operation of the genetic variant database 
o  Personally identifiable information and protected health information 
confidentiality and privacy  
o  Data integrity and security 
o  Curation, variant evaluation, and reevaluation 
o  Training for curation, evaluation, privacy and security, and other relevant 
activities 
  Validation studies for evaluation SOPs 
  Documentation of the qualifications of the individuals evaluating variants and policies for 
approving those individuals 
  Data preservation plan  
  Conflict of interest policies and disclosures of conflicts of interest  
  A commitment to make all recommended documents publicly accessible via weblinks 
Applications should be accompanied by a cover letter, which should detail the following 
information: 
  Statement of the types of variants the genetic variant database assertions address (e.g., 
germline) 
  Scope or portion of the database for which recognition is being sought 
  Point of contact 
  Entity name 
  Statement that the submitter believes, to the best of his or her knowledge, that all 
information submitted are truthful and accurate and that no material fact has been omitted 
 
As part of its recognition process, FDA may verify a subset of variant assertions, as appropriate, 
to assure they are supported and that the genetic variant database is following its SOPs.  
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Prior to recognition, FDA generally intends to treat this information confidentially and not 
publicly disclose it except as required by law.6 At the time of recognition, the database 
administrator should make this information publicly available and accessible on the genetic 
variant databases website.  FDA also intends to make available on its own website a list of all 
FDA-recognized genetic variant databases and other relevant, public information about those 
databases, such as a summary of the recognition decision.  
3.  Maintenance of FDA Recognition 
FDA intends to review FDA-recognized databases annually but may review more or less 
frequently as appropriate to verify they continue to follow their SOPs and the recommendations 
in this guidance.  
Continued transparency about policies, procedures, and assertions will play a critical role in 
maintaining confidence in a genetic variant database and thus, to maintaining recognition. FDA 
believes that it is important that users and the public have access to information about the 
capabilities and limitations of a genetic variant database so that patients and healthcare providers 
can make fully informed medical decisions. Genetic variant database administrators should 
document and make publicly accessible any changes or updates to the database SOPs on its 
website. FDA plans to periodically review its recognition of a genetic variant database based 
upon this transparently documented and publicly available information. As part of this process, 
FDA will verify that updates to SOPs, as described in Section IV, have been posted.  FDA may 
also spot-check assertions about genetic variants to assure they continue to be supported and 
that the genetic variant database continues to follow its SOPs for evaluation.  If the genetic 
variant database is not maintained according to the specifications under which it was recognized, 
FDA may withdraw recognition.  If recognition is withdrawn, it would be unlikely that FDA 
would consider assertions from such a genetic variant database to constitute valid scientific 
evidence supportive of the clinical validity of a test, and FDA would assess what regulatory 
actions may be appropriate with respect to IVDs supported by such assertions.  
B.  Use of Third Parties 
FDA has an established third party 510(k) review program for eligible medical devices.7 For 
genetic variant databases, FDA may consider utilizing third parties to assist with genetic variant 
database recognition in the future.  FDA seeks to work with interested parties that have 
experience with genetic variant databases and genetic and genomic-based tests and can comply 
with FDA policies, including those regarding screening for conflicts of interest.   
                                                 
6 See, e.g., the FD&C Act sections 301(j) and 520(c), the Trade Secrets Act, 18 U.S.C. 1905, the Freedom of 
Information Act, 5 U.S.C. 552, and FDAs regulations covering information disclosure at 21 CFR part 20. 
7 For additional information, including guidance documents on the topic, please see FDAs website for the Third 
Party Review Program 
(https:/www.fda.gov/MedicalDevices/DeviceRegulationandGuidance/HowtoMarketYourDevice/PremarketSubmissi
ons/ThirdParyReview/default.htm).   
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  Contains Nonbinding Recommendations
C.  Use of Data and Assertions from FDA-Recognized 
Genetic Variant Databases
Data from FDA-recognized genetic variant databases would generally constitute valid scientific 
evidence that can be used to support the clinical validity of the genotype-phenotype relationships 
embodied in the assertions from such databases provided in a premarket submission.  Under this 
policy, FDA expects that test developers will be able to use FDA-recognized genetic variant 
databases to establish, at least in part, the clinical validity of their test. For premarket 
submissions that rely upon genetic variant databases recognized by FDA, the Agency may 
determine that submission of any additional valid scientific evidence for certain variant 
assertions found in these genetic variant databases is not necessary, depending on the sufficiency 
of the evidence for these assertions. 
VII.  Paperwork Reduction Act of 1995
This guidance contains information collection provisions that are subject to review by the Office 
of Management and Budget (OMB) under the Paperwork Reduction Act of 1995 (44 U.S.C. 
3501-3520).
The time required to complete this information collection is estimated to average 101 hours per 
response, including the time to review instructions, search existing data sources, gather the data 
needed, and complete and review the information collection.  Send comments regarding this 
burden estimate to:
FDA PRA Staff,
Office of Operations,
Food and Drug Administration,
PRAStaff@fda.hhs.gov 
An agency may not conduct or sponsor, and a person is not required to respond to, a collection of 
information unless it displays a currently valid OMB control number.  The OMB control number 
for this information collection is 0910-0850 (expires 03-31-2024).
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