Precision medicine is an emerging approach to treatment and disease prevention that relies on linkages between very large datasets of health information that is shared amongst researchers and health professionals. While studies suggest broad support for sharing precision medicine data with researchers at publicly funded institutions, there is reluctance to share health information with private industry for research and development. As the private sector is likely to play an important role in generating public benefits from (...) class='Hi'>precision medicine initiatives, it is important to understand what the concerns are and how they might be mitigated. This study reports outcomes of a deliberative method of citizen engagement in Singapore that asked whether sharing precision medicine data with private industry would be permissible, and if so, under what circumstances. Findings from this citizens’ jury suggest sharing with industry would be permissible under certain conditions that are set out in nine recommendations. Implications of the recommendations and their underlying assumptions for policy decision makers are discussed. This study aligns with prior international studies which found conditional acceptance for data sharing with private industry, a public benefit requirement, specific reluctance to share with insurance companies and an emphasis on accountability and transparency to demonstrate trustworthiness. However, our results differ from prior studies in that opt-in consent did not dominate the deliberations as jurors were able to set it aside as an assumed prerequisite for participation in a precision medicine programme. (shrink)

The success of precision medicine depends on obtaining large amounts of information about at-risk populations. However, getting consent is often difficult. Why? In this commentary I point to the differentials in social status involved. These differentials are inevitable once personal information is surrendered, but are particularly intense when the studied populations are socioeconomically or socioculturally disadvantaged and/or ethnically stigmatized groups. I suggest how the deep distrust of the latter groups can be partially justified as a lack of confidence (...) that their core values or interests will sufficiently be taken into account. Hence, the ethical challenge here lies not in avoiding status differentials, but in dealing with them appropriately. Scientists should not assume trust from others but adopt a norm of “demonstrating trustworthiness”. (shrink)

This paper problematizes the precision medicine approach embraced by the All of Us Research Program (US) and by Genomics England (UK) in terms of benefits distribution, by arguing that current “diversity and inclusion” efforts do not prevent exclusiveness, unless the framing and scope of the projects are revisited in public health terms. Grounded on document analysis and fieldwork interviews, this paper analyzes efforts to address potential patterns of exclusion upstream (from participating in precision medicine research) and (...) downstream (from benefitting from precision medicine outputs). It argues that efforts for inclusion upstream are not corresponded downstream, and this unbalance jeopardizes the equitable capacities of the projects. It concludes that enhanced focus on socio-environmental determinants of health and aligned public health interventions as precision medicine outputs would be to the benefit of all and especially of those who are most at risk of (upstream as well as downstream) exclusion. (shrink)

Precision Medicine has become a common label for data-intensive and patient-driven biomedical research. Its intended future is reflected in endeavours such as the Precision Medicine Initiative in the USA. This article addresses the question whether it is possible to discern a new ‘medical cosmology’ in Precision Medicine, a concept that was developed by Nicholas Jewson to describe comprehensive transformations involving various dimensions of biomedical knowledge and practice, such as vocabularies, the roles of patients and (...) physicians and the conceptualisation of disease. Subsequently, I will elaborate my assessment of the features of Precision Medicine with the help of Michel Foucault, by exploring how precision medicine involves a transformation along three axes: the axis of biomedical knowledge, of biomedical power and of the patient as a self. Patients are encouraged to become the managers of their own health status, while the medical domain is reframed as a data-sharing community, characterised by changing power relationships between providers and patients, producers and consumers. While the emerging Precision Medicine cosmology may surpass existing knowledge frameworks; it obscures previous traditions and reduces research-subjects to mere data. This in turn, means that the individual is both subjected to the neoliberal demand to share personal information, and at the same time has acquired the positive ‘right’ to become a member of the data-sharing community. The subject has to constantly negotiate the meaning of his or her data, which can either enable self-expression, or function as a commanding Superego. (shrink)

Solidarity is a fundamental social value in many European countries, though its precise practical and theoretical meaning is disputed. In a health care context, I agree with European writers who take solidarity normatively to mean roughly equal access to effective health care for all. That is, solidarity includes a sense of justice. Given that, I will argue that precision medicine represents a potential weakening of solidarity, albeit not a unique weakening. Precision medicine includes 150 targeted cancer (...) therapies (mostly for metastatic cancer), all of which are extraordinarily expensive. Our critical question: Must a commitment to solidarity as defined mean that all these targeted cancer therapies should be guaranteed to all within each country in the European Union, no matter the cost, no matter the degree of effectiveness? Such a commitment would imply that cancer was ethically special, rightfully commandeering unlimited resources. That in itself would undermine solidarity. I offer multiple examples of how current and future dissemination of these targeted cancer drugs threaten a commitment to solidarity. An alternative is to fund more cancer prevention efforts. However, that too proves a threat to solidarity. Solidarity, with or without a sense of justice, is too abstract a notion to address these challenges. Further, we need to accept that we can only hope to achieve “rough justice” and “supple solidarity.” The precise practical meaning of these notions needs to be worked out through a fair and inclusive process of rational democratic deliberation, which is the real and practical foundation of just solidarity. (shrink)

Precision medicine and digital phenotyping are two prominent data-based approaches within digital medicine. While precision medicine historically used primarily genetic data to find targeted treatment options, digital phenotyping relies on the usage of big data deriving from digital devices such as smartphones, wearables and other connected devices. This paper first focusses on the aspect of data type to explore differences and similarities between precision medicine and digital phenotyping. It outlines different ways of data (...) collection and production and the consequences thereof. Second, it shows how these sorts of data influence dominant beliefs in the field: The field of precision medicine relying on the dominant understanding of ‘genetic determinism’ imported from genetics, digital phenotyping building on the logic of ‘data fundamentalism’. In the end, the analysis shows how digital data informs potentials as well as challenges of precision medicine and digital phenotyping: a better health care for individuals connected with individualisation and responsibilisation for all, with a prognosed shift from reactive to preventive medicine. Additionally, data-based approaches might facilitate epistemological and ontological redirections for the whole field of medicine that will also affect knowledge production and a reassessment of the value of different types of knowledge with all its consequences. Institutionally, it might lead to shifts in distribution of power to experts in big data related technologies, i.e. private companies. (shrink)

Many countries currently invest in technologies and data infrastructures to foster precision medicine (PM), which is hoped to better tailor disease treatment and prevention to individual patients. But who can expect to benefit from PM? The answer depends not only on scientific developments but also on the willingness to address the problem of structural injustice. One important step is to confront the problem of underrepresentation of certain populations in PM cohorts via improved research inclusivity. Yet, we argue that (...) the perspective needs to be broadened because the (in)equitable effects of PM are also strongly contingent on wider structural factors and prioritization of healthcare strategies and resources. When (and before) implementing PM, it is crucial to attend to how the organisation of healthcare systems influences who will benefit, as well as whether PM may present challenges for a solidaristic sharing of costs and risks. We discuss these issues through a comparative lens of healthcare models and PM-initiatives in the United States, Austria, and Denmark. The analysis draws attention to how PM hinges on—and simultaneously affects—access to healthcare services, public trust in data handling, and prioritization of healthcare resources. Finally, we provide suggestions for how to mitigate foreseeable negative effects. (shrink)

As opposed to a ‘one size fits all’ approach, precision medicine uses relevant biological, medical, behavioural and environmental information about a person to further personalize their healthcare. This could mean better prediction of someone’s disease risk and more effective diagnosis and treatment if they have a condition. Big data allows for far more precision and tailoring than was ever before possible by linking together diverse datasets to reveal hitherto-unknown correlations and causal pathways. But it also raises ethical (...) issues relating to the balancing of interests, viability of anonymization, familial and group implications, as well as genetic discrimination. This article analyses these issues in light of the values of public benefit, justice, harm minimization, transparency, engagement and reflexivity and applies the deliberative balancing approach found in theEthical Framework for Big Data in Health and Research to a case study on clinical genomic data sharing. Please refer to that article for an explanation of how this framework is to be used, including a full explanation of the key values involved and the balancing approach used in the case study at the end. Our discussion is meant to be of use to those involved in the practice as well as governance and oversight of precision medicine to address ethical concerns that arise in a coherent and systematic manner. (shrink)

The United States’ ambitious Precision Medicine Initiative proposes to accelerate exponentially the adoption of precision medicine, an approach to health care that tailors disease diagnosis, treatment, and prevention to individual variability in genes, environment, and lifestyle. It aims to achieve this by creating a cohort of volunteers for precision medicine research, accelerating biomedical research innovation, and adopting policies geared toward patients’ empowerment. As strategies to implement the PMI are formulated, critical consideration of the initiative's (...) ethical and sociopolitical dimensions is needed. Drawing on scholarship of nationalism and democracy, we discuss the PMI's construction of what we term “genomic citizenship”; the possible normative obligations arising therefrom; and the ethical, legal, and social challenges that will ensue. Although the PMI is a work in progress, discussion of the existing and emerging issues can facilitate the development of policies, structures, and procedures that can maximize the initiative's ability to produce equitable and socially sensitive outcomes. Our analysis can also be applied to other population-based, precision medicine research programs. (shrink)

Background We aimed to examine the ethical concerns Singaporeans have about sharing health-data for precision medicine and identify suggestions for governance strategies. Just as Asian genomes are under-represented in PM, the views of Asian populations about the risks and benefits of data sharing are under-represented in prior attitudinal research. Methods We conducted seven focus groups with 62 participants in Singapore from May to July 2019. They were conducted in three languages and analysed with qualitative content and thematic analysis. (...) Results Four key themes emerged: nuanced understandings of data security and data sensitivity; trade-offs between data protection and research benefits; trust in the public and private sectors; and governance and control options. Participants were aware of the inherent risks associated with data sharing for research. Participants expressed conditional support for data sharing, including genomic sequence data and information contained within electronic medical records. This support included sharing data with researchers from universities and healthcare institutions, both in Singapore and overseas. Support was conditional on the perceived social value of the research and appropriate de-identification and data security processes. Participants suggested that a data sharing oversight body would help strengthen public trust and comfort in data research for PM in Singapore. Conclusion Maintenance of public trust in data security systems and governance regimes can enhance participation in PM and data sharing for research. Contrary to themes in much prior research, participants demonstrated a sophisticated understanding of the inherent risks of data sharing, analysed trade-offs between risks and potential benefits of PM, and often adopted an international perspective. (shrink)

What exactly is a “wicked problem”? It is a social or economic problem that is so complex and so interconnected with other issues that it is extraordinarily difficult or impossible to resolve. This is because all proposed resolutions generate equally complex, equally wicked problems. In this essay, I argue that precision medicine, especially in the context of the U.S. healthcare system, generates numerous wicked problems related to distributive justice. Further, I argue that there are no easy solutions to (...) these wicked problems. The need for trade-offs is inescapable. Rough justice is the best outcome we can hope for, and that outcome requires a commitment to processes of public reason that are fair and inclusive. (shrink)

Berichte zur Wissenschaftsgeschichte, Volume 45, Issue 3, Page 487-498, September 2022.

Berichte zur Wissenschaftsgeschichte, Volume 45, Issue 3, Page 487-498, September 2022.

Precision medicine is emerging as a scientific bandwagon within the contemporary biomedical sciences in the United States. PM brings together concepts and tools from genomics and bioinformatics to develop better diagnostics and therapies based on individualized information. Developing countries like China and Brazil have also begun pursuing PM projects, motivated by a desire to claim genomic sovereignty over its population. In spite of commonalities, institutional arrangements produced by the history of genomics research in China and Brazil are ushering (...) PM along different trajectories. In the Chinese case, we identify a strong state-backed push for PM combined with a dynamic network of international academic and private actors along the lines of networked technonationalism that has made large-scale, speculative PM projects possible. The Brazilian case is characterized by an institutional void at the federal level in which PM is driven by domestic academic actors in universities in the regional level, resulting in smaller scale, needs-driven PM projects. Through these cases, this paper shows how a scientific bandwagon adapts to national histories and institutions. Through this peripheral translation of the scientific bandwagon, the global infrastructure of biomedical knowledge has the potential to be transformed. (shrink)

BackgroundIn precision medicine biomarkers stratify patients into groups that are offered different treatments, but this may conflict with the principle of equal treatment. While some patient characteristics are seen as relevant for unequal treatment and others not, it is known that they all may influence treatment decisions. How biomarkers influence these decisions is not known, nor is their ethical relevance well discussed.MethodsWe distributed an email survey designed to elicit treatment preferences from Norwegian doctors working with cancer patients. In (...) a forced-choice conjoint analysis pairs of hypothetical patients were presented, and we calculated the average marginal component effect of seven individual patient characteristics, to estimate how each of them influence doctors’ priority-setting decisions.ResultsA positive biomarker status increased the probability of being allocated the new drug, while older age, severe comorbidity and reduced physical function reduced the probability. Importantly, sex, education level and smoking status had no significant influence on the decision.ConclusionBiomarker status is perceived as relevant for priority setting decisions, alongside more well-known patient characteristics like age, physical function and comorbidity. Based on our results, we discuss a framework that can help clarify whether biomarker status should be seen as an ethically acceptable factor for providing unequal treatment to patients with the same disease. (shrink)

Galasso (2024) helpfully puts her finger on what is perhaps the most troubling feature of precision medicine research today: Champions of the science are targeting communities of color and other ma...

Discovery science in health over the past two decades has embraced, with considerable enthusiasm, the potential of two movements: precision medicine and the ascent of big data. Each of these developments has been suggested to hold substantial promise both to advance our health science and to lead to the development of approaches that can improve health.Precision medicine—emerging naturally from the Human Genome Project almost two decades ago—promises to use genomic and molecular approaches to identify the causes (...) of disease particular to individuals with the end of helping develop tailored treatments and interventions. This approach builds on what is perhaps a deeply held... (shrink)

Background In the wake of mandates for biomedical research to increase participation by members of historically underrepresented populations, community engagement (CE) has emerged as a key intervention to help achieve this goal.Methods Using interviews, observations, and document analysis, we examine how stakeholders in precision medicine research understand and seek to put into practice ideas about who to engage, how engagement should be conducted, and what engagement is for.Results We find that ad hoc, opportunistic, and instrumental approaches to CE (...) exacted significant consequences for the time and resources devoted to engagement and the ultimate impacts it has on research. Critical differences emerged when engagement and research decisionmaking were integrated with each other versus occurring in parallel, separate parts of the study organization, and whether community members had the ability to determine which issues would be brought to them for consideration or to revise or even veto proposals made upstream based on criteria that mattered to them. CE was understood to have a range of purposes, from instrumentally facilitating recruitment and data collection, to advancing community priorities and concerns, to furthering long-term investments in relationships with and changes in communities. These choices about who to engage, what engagement activities to support, how to solicit and integrate community input into the workflow of the study, and what CE was for were often conditioned upon preexisting perceptions and upstream decisions about study goals, competing priorities, and resource availability.Conclusions Upstream choices about CE and constraints of time and resources cascade into tradeoffs that often culminated in “pantomime community engagement.” This approach can create downstream costs when engagement is experienced as improvised and sporadic. Transformations are needed for CE to be seen as a necessary scientific investment and part of the scientific process. (shrink)

Since the late 1980s, the human genetics and genomics research community has been promising to usher in a “new paradigm for health care”—one that uses molecular profiling to identify human genetic variants implicated in multifactorial health risks. After the completion of the Human Genome Project in 2003, a wide range of stakeholders became committed to this “paradigm shift,” creating a confluence of investment, advocacy, and enthusiasm that bears all the marks of a “scientific/intellectual social movement” within biomedicine. Proponents of this (...) movement usually offer four ways in which their approach to medical diagnosis and health care improves upon current practices, arguing that it is more “personalized,” “predictive,” “preventive,” and “participatory” than the medical status quo. Initially, it was personalization that seemed to best sum up the movement's appeal. By 2012, however, powerful opinion leaders were abandoning “personalized medicine” in favor of a new label: “precision medicine.” The new label received a decisive seal of approval when, in January 2015, President Obama unveiled plans for a national “precision medicine initiative” to promote the development and use of genomic tools in health care. (shrink)

Precision medicine is an emerging approach to individualized care. It aims to help physicians better comprehend and predict the needs of their patients while effectively adopting in a timely manner the most suitable treatment by promoting the sharing of health data and the implementation of learning healthcare systems. Alongside its promises, PM also entails the risk of exacerbating healthcare inequalities, in particular between ethnoracial groups. One often-neglected underlying reason why this might happen is the impact of structural racism (...) on PM initiatives. Raising awareness as to how structural racism can influence PM initiatives is paramount to avoid that PM ends up reproducing the pre-existing health inequalities between different ethnoracial groups and contributing to the loss of trust in healthcare by minority groups. We analyse three nodes of a process flow where structural racism can affect PM’s implementation. These are: the collection of biased health data during the initial encounter of minority groups with the healthcare system and researchers, the integration of biased health data for minority groups in PM initiatives and the influence of structural racism on the deliverables of PM initiatives for minority groups. We underscore that underappreciation of structural racism by stakeholders involved in the PM ecosystem can be at odds with the ambition of ensuring social and racial justice. Potential specific actions related to the analysed nodes are then formulated to help ensure that PM truly adheres to the goal of leaving no one behind, as endorsed by member states of the United Nations for the 2030 Agenda for Sustainable Development. Structural racism has been entrenched in our societies for centuries and it would be naïve to believe that its impacts will not spill over in the era of PM. PM initiatives need to pay special attention to the discriminatory and harmful impacts that structural racism could have on minority groups involved in their respective projects. It is only by acknowledging and discussing the existence of implicit racial biases and trust issues in healthcare and research domains that proper interventions to remedy them can be implemented. (shrink)

In “Obligations of the Gift” Sandra Lee (2021) suggests that social norms of reciprocity and the expectations and obligations associated with gift-giving afford a framework for addressing social justice considerations in precision medicine. Lee is particularly concerned with obligations to marginalized or oppressed racial and ethnic groups, which are also historically under-represented populations in precision medicine. Obligations arise, Lee argues, through the “gift” that research participants make when they contribute their data or biospecimens to precision (...) medicine research. This conceptualization of research participation is distinct from an altruistic donation model that explicitly precludes obligations of reciprocity. I agree with Lee’s overall project to support social justice aims by better recognizing responsibilities of researchers to their research participants, and increasing diverse participation in biomedical research. However, I am not convinced that the account of “the gift” she deploys can achieve the social justice goals she intends because it risks replicating rather than resisting problematic conceptions of labor, property, and ownership of selves and others. However, an alternate conceptualization of “the gift” found in the work of 20th century French philosopher Jacques Derrida recasts ethical obligations on the part of precision medicine to those who contribute their data and biospecimens for precision medicine research. (shrink)

A recent effort has been made to better characterize the genetic architecture of schizophrenia, and apply a precision medicine model to its treatment. In pursuing this approach, it is likely that ethical concerns regarding cost-benefit uncertainties, the duty to inform and confidentiality will arise. Due to the complexity of schizophrenia’s genetic profile, research efforts must be weighed against the risk to human subjects and the required consumption of valuable healthcare resources. Genetic risk profiles must be judged in conjunction (...) with actionability and must be fully explained to patients and others potentially affected. However, confidentiality should be of paramount importance due to the presence of a risk-state phenotype, meaning the associated presence of clinically detectable neurocognitive deficiencies in those with elevated schizophrenia risk profiles. (shrink)

In this paper, we discuss how access to health-related data by private insurers, other than affecting the interests of prospective policy-holders, can also influence their propensity to make personal data available for research purposes. We take the case of national precision medicine initiatives as an illustrative example of this possible tendency. Precision medicine pools together unprecedented amounts of genetic as well as phenotypic data. The possibility that private insurers could claim access to such rapidly accumulating biomedical (...) Big Data or to health-related information derived from it would discourage people from enrolling in precision medicine studies. Should that be the case, the economic value of personal data for the insurance industry would end up affecting the public value of data as a scientific resource. In what follows we articulate three principles – trustworthiness, openness and evidence – to address this problem and tame its potentially harmful effects on the development of precision medicine and, more generally, on the advancement of medical science. (shrink)

Biomedicine in recent decades has been defined by an increasing tendency to turn social problems into biomedical questions. Precision or personalized health initiatives have gained attention due to...

Dr. Galasso’s (2024) insightful article expands the ongoing debate on the utility and equity of precision medicine in public and population health. The initiatives mentioned, Genomics England and t...

One of the concerns that citizen science shares with the evolving practice of precision medicine is how to approach oversight for N-of-1 or N-of-many-1’s research. In their target article, Wiggins...

Precision medicine (PM) aims to revolutionise healthcare, but little is known about the role religion and spirituality might play in the ethical discourse about PM. This Perspective reports the outcomes of a knowledge exchange fora with religious authorities in Singapore about data sharing for PM. While the exchange did not identify any foundational religious objections to PM, ethical concerns were raised about the possibility for private industry to profiteer from social resources and the potential for genetic discrimination by (...) private health insurers. According to religious authorities in Singapore, sharing PM data with private industry will require a clear public benefit and robust data governance that incorporates principles of transparency, accountability and oversight. (shrink)

Precision medicine promises to develop diagnoses and treatments that take individual variability into account. According to most specialists, turning this promise into reality will require adapting the established framework of clinical research ethics, and paying more attention to participants’ attitudes towards sharing genotypic, phenotypic, lifestyle data and health records, and ultimately to their desire to be engaged as active partners in medical research.Notions such as participation, engagement and partnership have been introduced in bioethics debates concerning genetics and large-scale (...) biobanking to broaden the focus of discussion beyond individual choice and individuals’ moral interests. The uptake of those concepts in precision medicine is to be welcomed. However, as data and medical information from research participants in precision medicine cohorts will be collected on an individual basis, translating a participatory approach in this emerging area may prove cumbersome. Therefore, drawing on Joseph Raz’s perfectionism, we propose a principle of respect for autonomous agents that, we reckon, can address many of the concerns driving recent scholarship on partnership and public participation, while avoiding some of the limitations these concept have in the context of precision medicine. Our approach offers a normative clarification to how becoming partners in precision is compatible with retaining autonomy.Realigning the value of autonomy with ideals of direct engagement, we show, can provide adequate normative orientation to precision medicine; it can do justice to the idea of moral pluralism by stressing the value of moral self-determination: and, finally, it can reconcile the notion of autonomy with other more communitarian values such as participation and solidarity. (shrink)

This book presents the promises of Precision Medicine (PM) and the challenges of its implementation in daily clinical routine, while addressing the anticipated ethical and social implications. It is the first book that critically analyzes the potential and the dilemmas relevant to genomics and precision medicine from healthcare, public health and global perspectives. The nine chapters presented in this book elaborate on pharmacogenomics' crucial role in maximizing the potential benefits and minimizing medication's potential risks in groups (...) of people, especially in cancer treatment and other health conditions. Infectious and non-communicable diseases (NCDs) are also discussed in this book by identifying challenges and ways to overcome them. Essential concepts are addressed, such as health-related benefits and harm to individuals and the broader community, including threats to individual privacy and autonomy, which warrant just distribution of scarce resources. The book also identifies and addresses the lack of competency in the healthcare workforce in the era of PM and discusses the path to laying the ethical foundation for the implementation of PM in healthcare organizations. (shrink)

Gifts have served as a fundamental aspect of the human experience across time, even as their precise roles and functions have shifted. In the past, bioethicists and others have drawn upon anthropol...

With the growth of precision medicine research on health data and biospecimens, research institutions will need to build and maintain long-term, trusting relationships with patient-participants. While trust is important for all research relationships, the longitudinal nature of precision medicine research raises particular challenges for facilitating trust when the specifics of future studies are unknown. Based on focus groups with racially and ethnically diverse patients, we describe several factors that influence patient trust and potential institutional approaches to (...) building trustworthiness. Drawing on these findings, we suggest several considerations for research institutions seeking to cultivate long-term, trusting relationships with patients: Address the role of history and experience on trust, engage concerns about potential group harm, address cultural values and communication barriers, and integrate patient values and expectations into oversight and governance structures. (shrink)

Decades of public investment in molecular technologies and data integration techniques have fueled promises of precision medicine (PM) as a novel, targeted, and data-driven approach that takes into...

Given the sordid history of injustices linking genetics to race and ethnicity, considerations of justice are central to ensuring the responsible development of precision medicine programmes around the world. While considerations of justice may be in tension with other areas of concern, such as scientific value or privacy, there are also tensions between different aspects of justice. This paper focuses on three particular aspects of justice relevant to this precision medicine: social justice, distributive justice and human (...) rights. We describe the implications of each for the use of race and ethnicity in precision medicine, and also how they intersect and potentially conflict with each another. By attending to these intersections, we aim to enrich and add nuance to debates over how best to proceed with precision medicine initiatives. (shrink)

I take up the call for a more nuanced engagement with race in bioethics by using Creary’s analytic of bounded justice and argue that it helps illuminate processes of racialization, or racial formation, specifically Blackness, as a dialectical processes of both invisibility and hyper-visibility. This dialectical view of race provides a lens through which the ethical, legal, and social implications (ELSI) of genetics and genomics field can reflect on fraught issues such as inclusion in genomic and biomedical research. Countering or (...) interrupting racialization in precision medicine can involve asking how marginalized groups are made invisible or hyper-visible in various aspects of the research process. Incorporating these kinds of questions into biomedical research inclusion efforts could lead to potentially powerful engagements with marginalized groups and could provide the opportunity for stakeholders to engage with the ways that racialization can happen in real-time and might undermine good intentions. (shrink)

Policies that require male-female sex comparisons in all areas of biomedical research conflict with the goal of improving health outcomes through context-sensitive individualization of medical care. Sex, like race, requires a rigorous, contextual approach in precision medicine. A “sex contextualist” approach to gender-inclusive medicine better aligns with this aim.

Given the sordid history of injustices linking genetics to race and ethnicity, considerations of justice are central to ensuring the responsible development of precision medicine programmes around the world. While considerations of justice may be in tension with other areas of concern, such as scientific value or privacy, there are also tensions between different aspects of justice. This paper focuses on three particular aspects of justice relevant to this precision medicine: social justice, distributive justice and human (...) rights. We describe the implications of each for the use of race and ethnicity in precision medicine, and also how they intersect and potentially conflict with each another. By attending to these intersections, we aim to enrich and add nuance to debates over how best to proceed with precision medicine initiatives. (shrink)

Precision medicine research is rapidly taking a lead role in the pursuit of new ways to improve health and prevent disease, but also presents new challenges for protecting human subjects. The extent to which the current “web” of legal protections, including technical data security measures, as well as measures to restrict access or prevent misuse of research data, will protect participants in this context remains largely unknown. Understanding the strength, usefulness, and limitations of this constellation of laws, regulations, (...) and procedures is critical to ensuring not only that participants are protected, but also that their participation decisions are accurately informed. To address these gaps, we conducted in-depth interviews with a diverse group of 60 thought-leaders to explore their perspectives on the protections associated with precision medicine research. (shrink)

Precision medicine (PM) and genomics are increasingly scrutinized through the lens of health inequities. This is a welcome development for a field that, while concerned with health-related differen...

In “Obligations of the ‘Gift’: Reciprocity and Responsibility in Precision Medicine,” Lee rightly points out that disparities in health care access also lead to disparities in precision medi...