Large amounts of data stored as electronic records allow multiple post-hoc analyses, which in many cases were not foreseen at the beginning of a study. The potential for analysis is constantly growing and recently has increased dramatically with the development of high-throughput sequencing and genotyping technologies. More than one million genetic variants of an individual may be determined within hours—and even the full genetic sequence within weeks [3]. Such technical advances expose participants to a new class of risk different from the physical harm usually considered in ethical reviews [4,5]. Release of genetic information could lead to uninsurability, unemployability, discrimination, and the breakdown of family relationships by unintentionally demonstrating missing or unknown relatedness. Moreover, participants usually do not get any direct benefit from the research. All of these concerns raise the question: are IC procedures still in accordance with the currently accepted ethical standards of autonomy, beneficence, and non-maleficence?
Summary Points
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There is pressure to harmonize different views, since a shared ethical and legal framework is still missing and approaches vary greatly [6–8]. A wide spectrum of opinions exists: Some researchers believe that available sample collections do not need any further consent, even for large-scale genotyping [9], while some institutional review boards recommend the destruction of samples immediately after testing (MW, personal observation).
Unfortunately, in current practice, the only moment when a person is really able to make a choice about participating in clinical research is when they sign the IC form. At this moment, the balance of power between overall research goals and individual interests should find equilibrium. As a study participant, however, one also has the right to know who owns the data, who guarantees proper handling, who will have further access to the data, and what security measures are in place. And all these concerns arise against a background in which the research questions themselves may rapidly change with the advancement of technical knowledge [10]. Any further genetic analysis may in fact severely compromise individual interests and autonomous choice, particularly if the individual is not fully aware of the very nature of the generated data and the implications of its use (or potential abuse). A stepwise informed consent should therefore be considered in accordance with the Council for International Organizations of Medical Sciences guidelines, one of the first to define IC not as a finite time step, but as an ongoing process [11] (Figure 1). Also, UNESCO's International Declaration on Human Genetic Data states that “clear, balanced, adequate and appropriate information shall be provided to the person whose prior, free, informed and express consent is sought” [12]. This goal seems to be largely in contrast with procedures in current genomic studies. Since this kind of detailed information is difficult to provide, a frequently favored approach is to ask for a broad consent [13].
But a more detailed analysis of the rationale behind broad consent shows that “broad consent” is seldom if ever justified [14]. Although proponents of “broad consent” argue that individuals will maintain a right to withdraw from the study, this right seems to be more of a fig leaf than a true option. As the value of stored samples increases over time due to additional data being generated, a later withdrawal of consent is difficult; it would require not only removal of printed lists and questionnaires but also deletion of current computer files including backups as well as all samples and aliquots.
Therefore the Council for International Organizations of Medical Sciences guidelines recommend broad consent be sought only under certain circumstances [11]. Such circumstances include (1) obtaining the approval of an ethical committee and (2) keeping data and samples anonymous. Anonymity, however, is in practice impossible to guarantee [15,16]. Genetic data are intrinsically self-identifying, hence their use in criminal forensic investigations [17]. Advances in computer science allow cross-matching of data not previously foreseen, as shown in the “Netflix” affair (http://www.nytimes.com/2007/06/04/technology/04netflix.htm). With every bit of additional data, anonymity is decreasing, in particular when genetic testing may be used to reconstruct ethnicity, sex, age, height, and other body characteristics such as eye and hair color [18]. Unfortunately, nobody can foresee the implications of these threats to genetic privacy. With the stability of DNA and its potential for use even with only trace amounts, genomics studies will have an almost infinite duration if not actively terminated. Moreover, any genetic variant determined in someone's DNA will have a good chance of also being present in that person's children (who may have never consented to the analysis of their genome in the first place). Hence there is a community dimension to IC for genomic studies, especially when combined with genealogical data.
There is substantial uncertainty in the development of genomics projects that may arise, which cannot be foreseen even by institutional review boards. Moreover, many researchers in the field currently see their institutional review board only as an “obstacle course” with an uncertain outcome [19]. With many issues now arising in the interplay between research-driven interests, new discoveries, and society, such as allocation of research resources, data ownership, and publication of results, the problem is not so much the doctrine of IC but its implementation [20]. Most if not all of the problems could certainly be addressed by a better researcher–participant relationship [21]. As Veatch notes: “In the past, research subjects have all too often been treated as passive “material” suitable for providing additional data points…[while] partners normally come together not because they share exactly the same interests or abilities, but because there is some mutuality of interests, some common point of intersection where each can help the other” [21]. A research partnership will demonstrate not only the potential benefits of such research, but also the current difficulties that need to be addressed. Reassuring research participants that anonymity will be preserved just to avoid a deeper discussion about the issues involved in genomics research may undermine the trust and collaborative spirit that is needed between science and society.
In current genomic studies, the relationship between researcher and participant may be different from the traditional physician–patient studies. Most of the research staff in current genomics projects will not have any direct contact with participants. In addition, these studies are usually not expected to give any direct benefit to the participants, as they are not seeking any new treatment. These two features of genomics research need to be reflected in the partnership between all actors involved in the research. Where possible, participants should be actively involved in information exchange and the decision-making process [3,18]. Several authors have already suggested an exploratory or participatory process prior to the implementation of a research project that should provide a better understanding of relevant issues through interest groups, consensus conferences, meetings, or surveys [10,16,20]. We propose a circular process of information exchange (Figure 1). Following a first phase of general information, a more detailed information exchange then takes place. IC in this context should be defined as an ongoing process instead of a once-and-for-all-time decision [22]. Understanding IC as a process will furthermore bring the “community dimension” back into focus. In addition to communicating the impact of the results together with the hope that these may bring forth improved diagnostics, personalized medicine, prevention, and health care, the circular IC process would also provide an opportunity to examine the difficulties and challenges raised by such research.
Kohane and colleagues have argued that the recent advances of information technology can further help in an ethical decision-making process [23]. At least in industrialized countries, such technology now allows the establishment of dynamic participant–researcher partnerships. In the past, contacting participants after a study was over would have been prohibitively expensive, but such contacts can now be easily managed by serialized SMS, e-mail, or regularly updated Web pages, with letters for those without Internet or mobile phone access (Box 1). Newsletters, public meetings, or local newspaper articles may also be considered as a channel to communicate research results. Participants may decide if they are willing to answer further questions, undergo additional tests, and give permission for their specimens to be included in a future series of genotyping, expression profiling, or proteomic analyses [24].
Box 1: An Implementation Plan Carefully inform the community about the planned study Collect feedback and take it into account for policy changes Redesign informed consent forms so that consent may be initially given only for interview, physical examination, data, and sample storage Explain terms without ambiguity (for instance, explain that anonymity may be limited even with anonymized samples) Explain opt-in/opt-out procedures for further genetic testing Establish conventional communication channels (face-to-face or group meetings, letters) but also use electronic communications (e-mail alerts, Web sites, RSS feeds, electronic voting, blogs, chat rooms, social platforms) Offer freephone number, SMS broadcasts Develop transparent annotation rules for individual genetic data Respect the right to know and the right not to know Adjust protocols to local needs and individual wishes |
We are aware that implementing our suggested process of ongoing IC may require additional efforts, but we believe that our approach will lead to a better understanding and a new level of transparency in research. Reorienting IC in the genomics age as a circular process of communication involving researchers and participants as partners in an open dialogue is a great opportunity to build trust between science and society, while giving new force and meaning to the ethics of research.