Returning raw genomic data: rights of research participants and obligations of health care professionals
Bibliographic record
Abstract
As the number of requests for raw genomic data increases, policies and protocols reflecting the perspectives of clinicians, patients, researchers and research participants are required Next generation sequencing technologies generate vast quantities of genomic data and can identify significant molecular markers associated with disease development and its response to treatments. Much attention has focused on the use of such data for research purposes, and on return of clinically significant findings to research participants via their clinicians. Increasingly, patients are being recruited to research studies utilising genomics, particularly in oncology. Using whole genome sequencing, researchers may identify significant molecular markers giving rise to the potential for more targeted treatment options. The long established division between clinical care and research is becoming increasingly blurred as clinicians have a role in recruiting patients to research studies and then translating genomic results into clinical care. The scope of their obligations to individuals as both research participants and patients requires analysis, particularly in the context of what information individuals are entitled to. The literature identifies increasing requests from patients and participants for their raw genomic data,1, 2 and we are aware of national and international genomic precision medicine studies where such requests have been made. Raw genomic data comprise genomic sequence data before annotation and interpretation (Box 1). Although it has no direct clinical utility, further interpretation may reveal information of value.3 Individuals may want to access their raw genomic data for a variety of reasons that may or may not be associated with further health choices or treatment, and feelings of strong ownership and entitlement.4 In practice, raw genomic data may be provided on a case-by-case basis to those who request it. A number of studies have indicated that patients, research participants and relevant health professionals support the return of raw genomic data to patients and research participants upon request.4 It has been predicted that the number of requests for raw genomic data is likely to increase exponentially as concepts of personalised medicine, health care autonomy and perceptions of the right to possess one’s personal genomic data become more prominent.5 This article highlights arguments for a right of access to raw genomic data, the obligations of clinicians in mediating return, and features of a process that would support the ethical return of such data. The National Statement on Ethical Conduct in Human Research provides that researchers are not expected to return raw genomic data to study participants.6 In contrast, Genomics England is obliged to return genomic data to participants in its 100,000 Genomes Project if requested.7 Do Australian study participants have any right to obtain genomic data upon request? Clinicians who recruit their patients to genomic research studies are often provided with a summary report interpreting clinically relevant results they may choose to share with patients. Genomic data fall within the scope of privacy legislation. The Privacy Act 1988 (Cth) provides that individuals have a right to access a copy of their personal information from the agency or organisation that holds it. Section 6 (1) of the Act defines personal information as “information or an opinion about an identified individual, or an individual who is reasonably identifiable”. The Federal Court has stated that “a determination of whether the identity can reasonably be ascertained will require an evaluative conclusion”.8 The key issue then is whether raw genomic data identify an individual, and this is a subject of ongoing discussion. In Europe, the General Data Protection Regulation has been interpreted as providing a right to participants and patients to have their raw genomic data released to them (there are exemptions within the context of scientific research).5 A recent Canadian article considers it likely that clinical laboratories will soon be obliged to provide access on legal grounds even where data was generated for research purposes.9 Irrespective of any legal right of return, there are strong ethical reasons why raw genomic data should be returned to patients enrolled in a research study. The return of raw genomic data respects the autonomy of participants and the personal meaning and value that genomic information has for them. Access to raw data can benefit participants by providing hope and options for further interpretation. Even if ultimately unfounded, providing raw data to those who request it reciprocates the participants’ contribution to research and builds empowerment.9 Clinicians who treat patients and recruit them to genomic research studies will increasingly field requests for raw data. Patients might approach their clinician to seek further or more detailed interpretation where initial data analysis has yielded no concrete actionable finding. They may also request the information in order to share it on open access research platforms, or simply to take possession of something they believe they “own”,10 or with which they identify in terms of ancestral ownership. Clinicians considering returning raw genomic data may have valid concerns about their obligations to advise their patients about use of third-party interpretation (TPI) services (eg, Promethease [https://promethease.com/], Luna DNA [https://www.lunadna.com/]). TPI services analyse raw genomic data further, aiming to identify genetic markers or therapeutic targets for diseases not already identified through a research project. TPI services accept genomic data files from individuals and subject them to proprietary bioinformatic analyses that may not be clinically validated.11 While many of the TPI service websites describe themselves in terms of literature retrieval and genome exploration, users may perceive reports generated as medical information. Many of these websites recommend their customers discuss results with their health care provider.10 The desire to protect patients from potential harms through utilising TPI services should not extend to denying people access to their raw data, propagating paternalism, and diminishing patient choice. Rather, fair and transparent processes for return of raw data should be explored, and we are involved with organisations that are proceeding with this work. Concerns voiced regarding return of raw genomic data centre on the resource implications for health care providers, genetic services and health care systems.1, 3, 9 Genetic counsellors are likely to be called upon to play a greater role in managing expectations of what genomic data can reveal.1 More generally, the return of research results will require considerable work and cross-discipline collaboration to clarify clinicians’ obligations in relation to the return of raw genomic data, and to assist them in managing patient expectations and best practices for return.12 Logistical questions associated with appropriate storage and transfer mechanisms for large data files,9 and the integration of genomic data into e-health records will also need to be navigated to ensure interoperability and ease the significant burden of transferring data.1, 11, 13 Box 2 provides further recommendations that would form the basis for protocols for returning raw genomic data. This brief exposition of the issues for clinicians confronted with requests for raw data generated through participation in research highlights the myriad issues arising from a simple request by a patient. Although there is little doubt that ethical grounds compel the release of data, there are associated burdens and challenges that must be addressed. Further attention to overcoming these challenges is essential, necessitating collaborative, institutional development of policies and protocols reflecting the broad perspectives of clinicians, patients, researchers and research participants. The resource implications of establishing infrastructures for return should be addressed by health systems nationally and globally. This project is supported by the Medical Research Futures Fund (Genomic Health Missions stream; grant number N76758). We acknowledge the contributions of other team members towards conception of this project. Open access publishing facilitated by University of Tasmania, as part of the Wiley - University of Tasmania agreement via the Council of Australian University Librarians. Vanessa Tyrrell is Vice President of the Human Genetics Society of Australasia and a member of the NSW Health Genomics Strategy Translational Medicine Committee. Not commissioned; externally peer reviewed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.044 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.005 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".