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Updated 02/01/2007

 

FREQUENTLY ASKED QUESTIONS
(FAQs)
 

 

A.    Funding and Governance Issues
B.    Application Submission Process
C.    Selection of Projects
D.    DNA Submission and Genotyping for Selected Projects
E.    Access To and Use of GAIN Data
F.    Human Subjects
 

           A. Funding and Governance Issues

A1. How is GAIN paid for?

Under FNIH, GAIN will bring together the needed scientific and financial resources through a public-private partnership in which all potential partners— including academia, government, private foundations, advocacy groups, and others —will work together toward a common goal. Pfizer Inc. is the founding lead funder, having provided substantial initial support for the development and implementation of GAIN. Significant support has also been provided by Affymetrix, Perlegen Sciences, The Broad Institute and Abbott Laboratories. FNIH will continue to actively seek partners for GAIN in order to extend support for genotyping of additional diseases.

A2. Who is running GAIN? What is the role of the lead funder?

GAIN is operated by the FNIH, working cooperatively with an Executive Committee and a Steering Committee that provide ongoing guidance and oversight of GAIN processes. The lead funder has one representative on the Executive Committee and the Steering Committee. Representation by the lead funder or other private sector partners may also be included in other study committees, such as the Technical Advisory Group, the Analysis Working Group  and the Genotyping Working Group as needed. This balanced approach to governance ensures that GAIN will remain squarely committed to the public interest, and that no one entity involved in GAIN will have undue influence over its operation.

A3. What other funding will be provided for participation in GAIN?

GAIN will provide $75,000 in direct costs (exclusive of any applicable indirect costs) to each successful applicant whose project is accepted to GAIN. These funds are anticipated to support roughly 5% of the PI’s time and 35% of the principal analyst’s time for one year, plus travel for these two individuals to three GAIN analysis workshops. It is presumed that all other costs, including the costs of specimen and data collection have been provided for under the parent study.
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B. Application Submission Process

           
B1. Is FNIH accepting additional applications?

The applications process for the first round of GAIN closed on May 9, 2006. There may be future rounds of solicitation for the project, but they depend on obtaining additional financial support from potential funding sources.  Currently FNIH is accepting Statement of Interest which will help GAIN leadership plan for subsequent application rounds should funds become available.
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            C. Selection of Projects

C1. What is the scope of diseases considered eligible for this project? What is meant by “common diseases?”

GAIN does not have a specific set of diseases selected in advance, but will make decisions on particular studies to be selected after considering the recommendations of the peer review committee and the Steering and Executive Committees. Common diseases are considered to be diseases that have a significant impact on the public health by affecting a significant percentage of the population.
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C2. Who will determine which projects are genotyped?

The final decision rests with the FNIH Board. The decision is based on input from the GAIN Steering Committee, the Technical Advisory Group, and the Peer Review Committee.
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C3. What happens if my project is not selected for genotyping? Are there other funding opportunities for which I might be eligible?

The FNIH is seeking additional financial support from a variety of potential funding sources in both the private and the philanthropic sectors. If successful, FNIH will open additional rounds of solicitation for projects to be genotyped under GAIN. And, of course, funding may be available from other sources, such as NIH.
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D. DNA Submission and Genotyping for Selected Project

D1. Why is so much DNA needed? Can smaller amounts be accepted?

The genotyping will be carried out on high density arrays that will type at least 375,000 SNPs on each sample. To be successful, the process will require a quantity of DNA that gives a high call rate (~99%). Inadequate amounts of DNA will lead to the loss of too much data and may cause the entire array to give unusable data for that sample. It is better to err on the side of too much DNA than too little.
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D2. What do you mean by “high quality” DNA? How will quality of DNA be assessed by the genotyping facility?

In general, DNA to be genotyped must be of sufficient concentration and sufficient size to give good results with the genotyping platform. The actual techniques to measure DNA concentration and integrity may vary depending on which genotyping provider is used. Some providers run agarose gels to assess the size (> 10 kilobases) of the DNA to ensure its quality. Other providers may genotype a small number of STRP or SNP markers on the samples to ensure that the quantity and the quality of the DNA in each sample gives good call rates. This latter procedure has the ability to identify sample mix-ups if the study design is appropriate, e.g., the use of trios. Top of Page

D3. Who will pay for extraction of DNA and shipment of samples to the genotyping facility?

The investigator submitting the application will be responsible for any costs involved in extraction of DNA and shipment of the samples to the genotyping facility. Top of Page

D4. What genotyping quality procedures will be applied to the genotyping? Will quality control information be provided in the GAIN Database for each project?

The genotyping quality procedures developed by the Genotyping Working Group are available at Genotyping and Analysis. Top of Page

            D5. What will happen to any leftover DNA at the genotyping facility?

The genotyping facilities will ask only for an amount that should give suitable genotyping results for the platform to be used. It is expected that there will be little excess DNA and that applicants will not want it to be returned, but arrangements may be possible for return of unused DNA if the applicant strongly desires it. Any DNA not used for GAIN genotyping or returned to investigators will be destroyed.
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D6. Who will perform the genotyping and what methods will be used?

In this first round of GAIN Projects, genotyping will be performed by Perlegen Sciences under agreement with Pfizer and by the Broad Institute using genotyping platforms donated by Affymetrix. 18,000 samples will be genotyped. More information on methods may be found at Genotyping and Analysis.
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D7. Will the genotyping facility have access to any phenotypic data?

The genotyping facility will not have personal identifying information or advance access to any phenotype data or personal identifying information. The genotype data and coded phenotype data will be merged in the GAIN Database and will be made available through a Controlled Access process. Although genotype data on individual study participants (without any link to individual phenotype or environmental data) will be available on the GAIN Database within dbGaP, phenotype data linked to genotypes will be available only through the Controlled Access process. Investigators from the genotyping facility will have the same rights to request access to these data as anyone else.
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E. Access to and Use of GAIN Data

E1. Who will have access to data generated by GAIN, and how will they access the data?

Both genotype data, and genotype data linked to coded phenotype data, along with pre-computed, simple genotype/phenotype associations, LD measures, and information on additional genomic features will be made available, through the GAIN Database within dbGaP, to investigators whose requests for access have been approved by the GAIN Data Access Committee (DAC). Applicants approved by the DAC will be given password-protected access to the specific datasets within dbGaP for which the Data Access Committee has approved them. A secure account with password and ID will be issued to the applicant by the DAC granting them appropriate access to the GAIN Project Dataset within dbGaP.


If, and only if, existing consent within GAIN-selected studies is deemed adequate by the responsible institution for open public access to genetic information, the genotype data generated for each sample and summary information, such as allele and genotype frequencies, may be deposited in the public section of the GAIN Database within dbGaP, with no individual identifying information and no connection to individual phenotype data. Descriptive information of the phenotype data, such as the variables measured and protocols used to collect the data and samples, but not the phenotype dataset itself, would also be made available in this way.

In addition to the request and approval pathway for obtaining access to GAIN Project Datasets within the Controlled Access portion of the GAIN Database within dbGaP, datasets may also be subject to Freedom of Information requests. Should such requests be received, every effort will be made to identify alternative mechanisms for providing access and to providing the government record information in a manner that is consistent with ensuring participant privacy and data security.
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E2. How quickly will genotype data from a selected project be posted to the GAIN Database?

The data will be made available as soon as the genotyping is completed and the data are cleaned and entered. This is anticipated to be within 7 months from the time genotyping is initiated.
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E3. What steps will be taken to limit access to the GAIN database and to protect it from potential misuse?

As noted in the answer to question E1 above, access to the GAIN database will be limited to specific projects requested by the potential data user and approved by the Data Access Committee. In addition, both the requesting investigator and a responsible Institutional Business Official from the investigator’s institution or business entity must sign a Data Use Certification. Among other provisions, the Data Use Certification requires that these signatories certify their acknowledgement of the GAIN Policies, and their responsibility to comply with federal, state, and local laws and any institutional policies; that the data will not be used to identify or contact individual participants from whom phenotype data and DNA samples were collected; and that GAIN Project Datasets will not be transferred to anyone outside the Requesting Investigator’s immediate research staff.

Finally, a GAIN Data Use Review Board (DURB) will provide ongoing, independent oversight of the data use and handling policies and any participant protection concerns for GAIN project data in order to ensure that all uses of GAIN-generated data conform to the specified research uses for each GAIN Project and adhere to the highest possible standards for responsible research use, including the preservation of the privacy and confidentiality of participants in the original parent studies.
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E4. Will it be possible to withdraw from the GAIN Database any data from participants who have subsequently withdrawn their consent for genotyping or data distribution?

It will be possible to remove data from the GAIN Database within dbGaP if the Contributing Study Investigator provides the unique sample code linked with the individual requesting withdrawal. However, once a dataset in dbGaP has been accessed by researchers (using the appropriate access methods described in Question E1 above) it will not be possible to fully withdraw data from further GAIN-related research use.
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E5. Are there privacy concerns related to posting an individual’s genome-wide genotype data on GAIN Database within dbGaP, since it is a publicly accessible database?

Genotype data will be posted to the GAIN Database within dbGaP if, and only if, existing consent within GAIN-selected studies is deemed adequate by the responsible institution for open public access to genetic information. The individual genotype data that meet this strict criterion will be posted to the GAIN Database within dbGaP without links to any identifying phenotypic information. Therefore, identifying an individual in these limited cases based on GAIN genotype data would require matching those genotypes to another genotype database that retains a link to personal identifiers--and such a linkage is very unlikely.
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E6. What steps will be taken to ensure the security of the data associated with the project?

All data provided to FNIH in the application process will be placed on a secure server with limited access only to FNIH and NCBI staff involved in the evaluation. Data on this server will only be backed up to a private tape store for this project and will not be part of the long-term NCBI back up tapes or distributed outside the secure area. All data will be destroyed after the application process except those for successful applicants.

The genotype-phenotype data contained in the GAIN Database will also be maintained on a secure server with appropriate firewall and security precautions, with access to the Controlled Access portion of the database provided through password protected mechanisms as described in G1 and G3 above.
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E7. Will there be public access to DNA extracted from GAIN samples?

There is no plan or provision for GAIN to distribute DNA samples. Contributing Study Investigators will send DNA samples directly to the GAIN genotyping facilities. All DNA remaining at the conclusion of GAIN genotyping activities will be returned directly to Contributing Study Investigators if requested, or destroyed as described in F6 above.
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E8. How will the databases used by GAIN actually be developed and maintained?

The core infrastructure for the central database will be developed and managed by the National Center for Biotechnology Information (NCBI) on behalf of FNIH as part of the NIH contribution to GAIN. NCBI activities will include the importing the coded phenotype data, and “cleaning” and entering the genotype and pre-computed association data generated by GAIN into the GAIN database.
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E9. Will any pre-analysis be performed on the data?

NCBI will perform a series of computations to determine genotype frequencies, Hardy-Weinberg deviations, percentage of completed genotypes, and other indicators of data quality for all genotyping datasets. This information will be posted on the GAIN Database within dbGaP once available. NCBI will also calculate association statistics between genotypes and phenotypes as an element within the GAIN Project Datasets available through Controlled Access portions of the GAIN database, as well as provide LD measures and additional information on genomic regions associated with phenotypes. An Analysis Working Group will be formed by GAIN to suggest analyses to be conducted across multiple projects and common approaches to analyses within each project as needed to enhance comparability. NCBI may participate in this Analysis Working Group as appropriate.
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E10. Will the investigators submitting samples and data (the Contributing Study Investigators) be given any special access to the database? Will they have any special rights related to the use of the data?

GAIN aims to release data to the scientific community as broadly and rapidly as possible (in a manner consistent with its commitment to preserve the confidentiality of parent study participants) to maximize the public and scientific benefits of the initiative. Therefore GAIN Project Datasets will be made immediately available for access by users approved by the Data Access Committee. GAIN data will be made available for research to outside investigators, GAIN Contributing Study Investigators, and GAIN Partners all at the same time and through the same access approval mechanisms.

It is also important to recognize the important and unique contributions made by the Contributing Study Investigators who have collected over many years the biological samples and associated phenotype data used in GAIN. Therefore all outside investigators who apply to access the GAIN database will agree as part of the Data Use Certification not to submit a publication on the data for a 9-month period from when the data are first made available. Contributing Study Investigators will be exempt from this requirement, enabling them and their direct collaborators a significant window for developing and submitting publications using the data from the GAIN database. In addition, Contributing Study Investigators will have the benefit of participating in the Analysis Working Group and Analysis Workshops.
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E11. If information resulting from GAIN genotyping analyses suggests an association, but further research must be conducted for validation, how would those costs be covered?

GAIN will not cover these costs; additional funding should be sought through the internal funding mechanisms of the investigator’s organization or through the usual funding mechanisms at NIH, other government agencies, professional organizations, and/or non-profit foundations.
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F.  Human Subjects

F1. Has the Office for Human Research Protection (OHRP) reviewed the GAIN data submission and release policies and procedures?
 

The Office for Human Research Protection (OHRP) reviewed the GAIN data submission and release policies and procedures and concluded that the GAIN Database does not constitute human subjects research, since GAIN will not receive the key-code to identify any individuals within the GAIN Project Dataset(s) from GAIN Contributing Investigators.  Furthermore, investigators requesting access to GAIN Project Datasets will only receive de-identified data from the GAIN Database, and therefore will not be conducting human subjects research as defined within 45 CFR Part 46.  This determination does not negate any existing local (institutional or state-level) requirements for the on-going review of research. (OHRP Letter to GAIN)
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