Susan Wolf

Predictive genetic testing poses fundamental questions for disability insurance, a crucial resource funding basic needs when disability prevents income from work. This article, from an NIH-funded project, presents the first indepth analysis of the challenging issues: Should disability insurers be permitted to consider genetics and exclude predicted disability? May disabilities with a recognized genetic basis be excluded from coverage as pre-existing conditions? How can we assure that private insurers writing individual and group policies, employers, and public insurers deal competently and appropriately with genetic testing?

Background: Genomic analysis may reveal both primary and secondary findings with direct relevance to the health of probands’ biological relatives. Researchers question their obligations to return findings not only to participants but also to family members. Given the social value of privacy protection, should researchers offer a proband’s results to family members, including after the proband’s death? Methods: Preferences were elicited using interviews and a survey. Respondents included probands from two pancreatic cancer research resources, plus biological and nonbiological family members. Hypothetical scenarios based on actual research findings from the two cancer research resources were presented; participants were asked return of results preferences and justifications. Interview transcripts were coded and analyzed; survey data were analyzed descriptively. Results: Fifty-one individuals (17 probands, 21 biological relatives, 13 spouses/partners) were interviewed. Subsequently, a mailed survey was returned by 464 probands, 1,040 biological family members, and 399 spouses/partners. This analysis highlights the interviews, augmented by survey findings. Probands and family members attribute great predictive power and lifesaving potential to genomic information. A majority hold that a proband’s genomic results relevant to family members’ health ought to be offered. While informants endorse each individual’s choice whether to learn results, most express a strong moral responsibility to know and to share, particularly with the younger generation. Most have few concerns about sharing genetic information within the family; rather, their concerns focus on the health consequences of not sharing. Conclusions: Although additional studies in diverse populations are needed, policies governing return of genomic results should consider how families understand genomic data, how they value confidentiality within the family, and whether they endorse an ethics of sharing. A focus on respect for individual privacy—without attention to how the broad social and cultural context shapes preferences within families—cannot be the sole foundation of policy.

Contemporary moral philosophers often divide moral theories into three main types: consequentialism, deontology, and virtue ethics. In Finite and Infinite Goods, Robert Merrihew Adams presents an ethical framework that fits none of these categories. It is founded on a fundamental commitment to the idea that there is a Transcendent Good, to be understood philosophically in realist, non-naturalist terms. As I prefer to put it, Adams starts with a conviction that we live in a World of Goods. In developing and elaborating a perspective on ethics built around this conviction, Adams shows his appreciation of the traditions to which his ethical framework is an alternative, his sensitivity to human psychology, and his embrace of a diversity of values. The result is one of the most original and profound books on ethics I have seen in decades.

Debate over the relationship of law and bioethics is growing - what the relationship has been and what it should be in the future. While George Annas has praised law and rights-talk for creating modern bioethics, Carl Schneider has instead blamed law for hijacking bioethics and stunting moral reflection. Indeed, as modern bioethics approaches the 40-year mark, historians of bioethics are presenting divergent accounts. In one account, typified by Albert Jonsen, bioethics largely grew out of philosophy and theology, not law. In another account, law has deeply shaped bioethics from the start, forging its central commitment to the rights of patients and research subjects and the fields imposition of broad fiduciary responsibilities on health care professionals and researchers.In addition to debating how to properly describe laws historical relationship to bioethics, commentators have argued over whether laws influence in bioethics is now good or bad.

Both bioethics and law have governed human genomics by distinguishing research from clinical practice. Yet the rise of translational genomics now makes this traditional dichotomy inadequate. This paper pioneers a new approach to the ethics of translational genomics. It maps the full range of ethical approaches needed, proposes a “layered” approach to determining the ethics framework for projects combining research and clinical care, and clarifies the key role that return of results can play in advancing translation

The law applicable to genomics in the United States is currently in transition and under debate. The rapid evolution of the science, burgeoning clinical research, and growing clinical application pose serious challenges for federal and state law. Although there has been some empirical work in this area, this is the first paper to survey and interview key scientific and legal stakeholders in the field of genomics to help ground identification of the most important legal problems that must be solved to successfully integrate genomics into clinical care. The respondents in this study identified a wide range of interconnected issues, focusing specifically on the need for clear guidelines about how to use these data, fear of liability for those who use these data, and the need to protect patients from use of this information particularly by insurers, while endorsing data sharing. Developing legal strategies to support appropriate use of genomics now and in the future clearly will require making trade-offs, taking into account the full complexity of this legal ecosystem.

Incidental fndings of potential medical signifcance are seen in approximately 5-8 percent of asymptomatic subjects and 16 percent of symptomatic subjects participating in large computed tomography colonography studies, with the incidence varying further by CT acquisition technique. While most CTC research programs have a well-defned plan to detect and disclose IFs, such plans are largely communicated only verbally. Written consent documents should also inform subjects of how IFs of potential medical signifcance will be detected and reported in CTC research studies

Most people, including philosophers, tend to classify human motives as falling into one of two categories: the egoistic or the altruistic, the self-interested or the moral. According to Susan Wolf, however, much of what motivates us does not comfortably fit into this scheme. Often we act neither for our own sake nor out of duty or an impersonal concern for the world. Rather, we act out of love for objects that we rightly perceive as worthy of love--and it is these actions that give meaning to our lives. Wolf makes a compelling case that, along with happiness and morality, this kind of meaningfulness constitutes a distinctive dimension of a good life. Written in a lively and engaging style, and full of provocative examples, Meaning in Life and Why It Matters is a profound and original reflection on a subject of permanent human concern

Debate over the proper use of racial and ethnic categories in biomedical research has raged in recent years. With the Human Genome Project showing that human beings are overwhelmingly alike genetically, exhibiting more genetic variation within supposed “races” than between them, many have come to doubt the scientific utility of such categories. Yet federal authorities use Directive 15 from the Office of Management and Budget to mandate the continued use of such categories in research. Moreover, researchers studying health disparities argue that data collection using racial and ethnic categories is necessary to determine whether conditions and care vary by race and ethnicity. Epidemiologists also defend the use of racial and ethnic categories to understand contributors to disease such as the stress of experiencing racial prejudice and reduced access to care because of bias.

Developing ethical standards for clinical use of large-scale genome and exome sequencing has proven challenging, in part due to the inevitability of incidental or secondary findings. Policy of the American College of Medical Genetics and Genomics has evolved but remains problematic. In 2013, ACMG issued policy recommending mandatory analysis of 56 extra genes whenever sequencing was ordered for any indication, in order to ascertain positive findings in pathogenic and actionable genes. Widespread objection yielded a 2014 amendment allowing patients to opt-out from analysis of the extra genes. In 2015, ACMG published the amended policy, providing that patients could opt out of the full set of extra genes, but not a subset. In 2016, ACMG enlarged the set and indicated planned expansion of the roster of extra genes to include pharmacogenetic findings. ACMG policy does not protect the respect for patient choice that prevails in other domains of clinical medicine, where informed consent allows patients to opt in to desired testing. By creating an expanding domain of genomic testing that will be routinely conducted unless patients reject the entire set of extra tests, ACMG creates an exceptional domain clinical practice that is not supported by ethics or science.

Genetic testing poses fundamental questions for insurance. Testing can predict a low probability of future illness and disability, which can help promote the insurability of individuals with a family history of genetic risk, but it can also invite insurers to reject applicants, increase premiums, exclude people with certain illnesses and disabilities, and otherwise adjust the underwriting processes for individuals with certain genotypes. In the workplace, these issues may cause employers who offer or pay for insurance to alter their hiring behavior, either by selecting those with desirable genetic makeup or rejecting, dismissing, or reassigning those who carry an unwanted risk, ultimately threatening employability and the safety net that insurance is intended to provide.

Delivering high quality genomics-informed care to patients requires accurate test results whose clinical implications are understood. While other actors, including state agencies, professional organizations, and clinicians, are involved, this article focuses on the extent to which the federal agencies that play the most prominent roles — the Centers for Medicare and Medicaid Services enforcing CLIA and the FDA — effectively ensure that these elements are met and concludes by suggesting possible ways to improve their oversight of genomic testing.

Returning genetic research results to relatives raises complex issues. In order to inform the U.S. debate, this paper analyzes international law and policies governing the sharing of genetic research results with relatives and identifies key themes and lessons. The laws and policies from other countries demonstrate a range of approaches to balancing individual privacy and autonomy with family access for health benefit, offering important lessons for further development of approaches in the United States.

Participant-driven research is a burgeoning domain of research innovation, often facilitated by mobile technologies. Return of results and data are common hallmarks, grounded in transparency and data democracy. PDR has much to teach traditional research about these practices and successful engagement. Recommendations calling for new state laws governing research with mHealth modalities common in PDR and federal creation of review mechanisms, threaten to stifle valuable participant-driven innovation, including in return of results.