Retraction

doi:10.1073/pnas.0910252106

Cited by 3 publications

(2 citation statements)

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“…The considerable effort put into the development of the dbGaP system [11] has resulted in a few remaining challenges. These opportunities for improvement of the system, including simplifying the approach to identify a “signing official” and management of large datafiles, are modest when compared with the challenges of initiating new data collection, which can take years.…”

Section: Discussionmentioning

confidence: 99%

“…Second, a subject’s option to withdraw from a study is of limited effectiveness once the data is shared in public, as that data has already been distributed, often cannot be recalled, and therefore may be used for further analysis even against the will of participants [10]. Third, a publication embargo period was established on many, but not all, data submitted to dbGaP to recognize the intellectual contributions of the data submitters in establishing the data resource and provide them with the first opportunity for publication; however, a violation of the publication embargo has already occurred [11]. In that case, the authors were reprimanded by both their institution and the NIH, and although the publication was officially retracted by the journal, it remains available online.…”

Section: Introductionmentioning

confidence: 99%

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Practical Barriers and Ethical Challenges in Genetic Data Sharing

Simpson

Goldenberg

Culverhouse

et al. 2014

IJERPH

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The underlying ethos of dbGaP is that access to these data by secondary data analysts facilitates advancement of science. NIH has required that genome-wide association study data be deposited in the Database of Genotypes and Phenotypes (dbGaP) since 2003. In 2013, a proposed updated policy extended this requirement to next-generation sequencing data. However, recent literature and anecdotal reports suggest lingering logistical and ethical concerns about subject identifiability, informed consent, publication embargo enforcement, and difficulty in accessing dbGaP data. We surveyed the International Genetic Epidemiology Society (IGES) membership about their experiences. One hundred and seventy five (175) individuals completed the survey, a response rate of 27%. Of respondents who received data from dbGaP (43%), only 32% perceived the application process as easy but most (75%) received data within five months. Remaining challenges include difficulty in identifying an institutional signing official and an overlong application process. Only 24% of respondents had contributed data to dbGaP. Of these, 31% reported local IRB restrictions on data release; an additional 15% had to reconsent study participants before depositing data. The majority of respondents (56%) disagreed that the publication embargo period was sufficient. In response, we recommend longer embargo periods and use of varied data-sharing models rather than a one-size-fits-all approach.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Practical Barriers and Ethical Challenges in Genetic Data Sharing

Simpson

Goldenberg

Culverhouse

et al. 2014

IJERPH

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Cellular Automata: the Game of Life

Todesco

2013

Imagine Math 2

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Genetic pre-determinants of concurrent alcohol and opioid dependence: A critical review

Martin¹,

Klimas²,

Dunne³

et al. 2013

OA Alcohol

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Concurrent alcohol dependence poses a significant burden to health and wellbeing of people with established opioid dependence. Although previous research indicates that both genetic and environmental risk factors contribute to the development of drug or alcohol dependence, the role of genetic determinants in development of concurrent alcohol and opioid dependence has not been scrutinised.To search for genetic pre-determinants of concurrent alcohol and opioid dependence, electronic literature searches were completed using MEDLINE (PubMed) and EBSCO (Academic Search Complete) databases. Reference lists of included studies were also searched. In this discussion paper, we provide an overview of the genes (n=33) which are associated with the opioid, serotonergic, dopaminergic, GABA-ergic, cannabinoid, and metabolic systems for each dependency (i.e., alcohol or opioid) separately.The current evidence base is inconclusive regarding an exclusively genetic pre-determinant of concurrent alcohol and opioid dependence. Further search strategies and original research are needed to determine the genetic basis for concurrent alcohol and opioid dependency.

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Retraction

Cited by 3 publications

References 0 publications

Practical Barriers and Ethical Challenges in Genetic Data Sharing

Practical Barriers and Ethical Challenges in Genetic Data Sharing

Cellular Automata: the Game of Life

Genetic pre-determinants of concurrent alcohol and opioid dependence: A critical review

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