Words matter: The language of difference in human genetics.

Diversity, equity, and inclusion efforts in academia are leading publishers and journals to re-examine their use of terminology for commonly used scientific variables. This reassessment of language is particularly important for human genetics, which is focused on identifying and explaining differences between individuals and populations. Recent guidance on the use of terms and symbols in clinical practice, research, and publications is beginning to acknowledge the ways that language and concepts of difference can be not only inaccurate but also harmful. To stop perpetuating historical wrongs, those of us who conduct and publish genetic research and provide genetic health care must understand the context of the terms we use and why some usages should be discontinued. In this article, we summarize critiques of terminology describing disability, sex, gender, race, ethnicity, and ancestry in research publications, laboratory reports, diagnostic codes, and pedigrees. We also highlight recommendations for alternative language that aims to make genetics more inclusive, rigorous, and ethically sound. Even though norms of acceptable language use are ever changing, it is the responsibility of genetics professionals to uncover biases ingrained in professional practice and training and to continually reassess the words we use to describe human difference because they cause harm to patients.

Addressing underrepresentation in genomics research through community engagement.

The vision of the American Society of Human Genetics (ASHG) is that people everywhere will realize the benefits of human genetics and genomics. Implicit in that vision is the importance of ensuring that the benefits of human genetics and genomics research are realized in ways that minimize harms and maximize benefits, a goal that can only be achieved through focused efforts to address health inequities and increase the representation of underrepresented communities in genetics and genomics research. This guidance is intended to advance community engagement as an approach that can be used across the research lifecycle. Community engagement uniquely offers researchers in human genetics and genomics an opportunity to pursue that vision successfully, including by addressing underrepresentation in genomics research.

Examining access to care in clinical genomic research and medicine: Experiences from the CSER Consortium.

INTRODUCTION: Ensuring equitable access to health care is a widely agreed-upon goal in medicine, yet access to care is a multidimensional concept that is difficult to measure. Although frameworks exist to evaluate access to care generally, the concept of "access to genomic medicine" is largely unexplored and a clear framework for studying and addressing major dimensions is lacking. METHODS: Comprised of seven clinical genomic research projects, the Clinical Sequencing Evidence-Generating Research consortium (CSER) presented opportunities to examine access to genomic medicine across diverse contexts. CSER emphasized engaging historically underrepresented and/or underserved populations. We used descriptive analysis of CSER participant survey data and qualitative case studies to explore anticipated and encountered access barriers and interventions to address them. RESULTS: CSER's enrolled population was largely lower income and racially and ethnically diverse, with many Spanish-preferring individuals. In surveys, less than a fifth (18.7%) of participants reported experiencing barriers to care. However, CSER project case studies revealed a more nuanced picture that highlighted the blurred boundary between access to genomic research and clinical care. Drawing on insights from CSER, we build on an existing framework to characterize the concept and dimensions of access to genomic medicine along with associated measures and improvement strategies. CONCLUSIONS: Our findings support adopting a broad conceptualization of access to care encompassing multiple dimensions, using mixed methods to study access issues, and investing in innovative improvement strategies. This conceptualization may inform clinical translation of other cutting-edge technologies and contribute to the promotion of equitable, effective, and efficient access to genomic medicine.

Employees' Views and Ethical, Legal, and Social Implications Assessment of Voluntary Workplace Genomic Testing.

Employers have begun to offer voluntary workplace genomic testing (wGT) as part of employee wellness benefit programs, but few empirical studies have examined the ethical, legal, and social implications (ELSI) of wGT. To better understand employee perspectives on wGT, employees were surveyed at a large biomedical research institution. Survey respondents were presented with three hypothetical scenarios for accessing health-related genomic testing: via (1) their doctor; (2) their workplace; and 3) a commercial direct-to-consumer (DTC) genetic testing company. Overall, 594 employees (28%) responded to the survey. Respondents indicated a preference for genomic testing in the workplace setting (70%; 95% CI 66-74%), followed by doctor's office (54%; 95% CI 50-58%), and DTC testing (20%; 95% CI 17-24%). Prior to participating in wGT, respondents wanted to know about confidentiality of test results (79%), existence of relevant laws and policies (70%), and privacy protection (64%). Across scenarios, 92% of respondents preferred to view the test results with a genetic counselor. These preliminary results suggest that many employees are interested and even prefer genetic testing in the workplace and would prefer testing with support from genetic health professionals. Confirmation in more diverse employer settings will be needed to generalize such findings.

Analogies in Genomics Policymaking: Debates and Drawbacks.

The analogy between genomics and imaging has been an important touchstone in the debate on how secondary findings should be handled in both clinical and research genomics contexts. However, a critical eye is needed to understand whether an analogy like this one provides an adequate basis for policymaking in genomics. Genomics and imaging are undoubtedly similar in certain ways, but whether that similarity is adequate to justify adopting identical policies is a task that requires further analysis. This is highlighted by the fact that secondary findings are produced in other domains of medicine and public health, such as newborn screening programs, routine laboratory panels, and antibiotic sensitivity testing, and that the practices for handling secondary findings in each of these areas are different. These examples demonstrate that medicine has no single comprehensive policy or set of practices for managing secondary findings. Analogies to imaging, newborn screening, routine testing panels, and antibiotic sensitivity testing all lead to different policy options for genomics. In this piece we argue that analogies are a powerful way of driving policy discussions by rendering two different areas of medical practice similar, but an overdependence on a single analogy risks limiting policy discussions in potentially deleterious ways.

Genomic Contextualism: Shifting the Rhetoric of Genetic Exceptionalism.

As genomic science has evolved, so have policy and practice debates about how to describe and evaluate the ways in which genomic information is treated for individuals, institutions, and society. The term genetic exceptionalism, describing the concept that genetic information is special or unique, and specifically different from other kinds of medical information, has been utilized widely, but often counterproductively in these debates. We offer genomic contextualism as a new term to frame the characteristics of genomic science in the debates. Using stasis theory to draw out the important connection between definitional issues and resulting policies, we argue that the framework of genomic contextualism is better suited to evaluating genomics and its policy-relevant features to arrive at more productive discussion and resolve policy debates.

Correction: Secondary findings from clinical genomic sequencing: prevalence, patient perspectives, family history assessment, and health-care costs from a multisite study.

The originally published version of this Article contained errors in Fig. 2. The numbers below the black arrowheads were incorrect; please see incorrect Figure in associated Correction. These errors have now been corrected in the PDF and HTML versions of the Article.

Secondary findings from clinical genomic sequencing: prevalence, patient perspectives, family history assessment, and health-care costs from a multisite study.

PURPOSE: Clinical sequencing emerging in health care may result in secondary findings (SFs). METHODS: Seventy-four of 6240 (1.2%) participants who underwent genome or exome sequencing through the Clinical Sequencing Exploratory Research (CSER) Consortium received one or more SFs from the original American College of Medical Genetics and Genomics (ACMG) recommended 56 gene-condition pair list; we assessed clinical and psychosocial actions. RESULTS: The overall adjusted prevalence of SFs in the ACMG 56 genes across the CSER consortium was 1.7%. Initially 32% of the family histories were positive, and post disclosure, this increased to 48%. The average cost of follow-up medical actions per finding up to a 1-year period was $128 (observed, range: $0-$678) and $421 (recommended, range: $141-$1114). Case reports revealed variability in the frequency of and follow-up on medical recommendations patients received associated with each SF gene-condition pair. Participants did not report adverse psychosocial impact associated with receiving SFs; this was corroborated by 18 participant (or parent) interviews. All interviewed participants shared findings with relatives and reported that relatives did not pursue additional testing or care. CONCLUSION: Our results suggest that disclosure of SFs shows little to no adverse impact on participants and adds only modestly to near-term health-care costs; additional studies are needed to confirm these findings.

Enrichment sampling for a multi-site patient survey using electronic health records and census data.

Objective: We describe a stratified sampling design that combines electronic health records (EHRs) and United States Census (USC) data to construct the sampling frame and an algorithm to enrich the sample with individuals belonging to rarer strata. Materials and Methods: This design was developed for a multi-site survey that sought to examine patient concerns about and barriers to participating in research studies, especially among under-studied populations (eg, minorities, low educational attainment). We defined sampling strata by cross-tabulating several socio-demographic variables obtained from EHR and augmented with census-block-level USC data. We oversampled rarer and historically underrepresented subpopulations. Results: The sampling strategy, which included USC-supplemented EHR data, led to a far more diverse sample than would have been expected under random sampling (eg, 3-, 8-, 7-, and 12-fold increase in African Americans, Asians, Hispanics and those with less than a high school degree, respectively). We observed that our EHR data tended to misclassify minority races more often than majority races, and that non-majority races, Latino ethnicity, younger adult age, lower education, and urban/suburban living were each associated with lower response rates to the mailed surveys. Discussion: We observed substantial enrichment from rarer subpopulations. The magnitude of the enrichment depends on the accuracy of the variables that define the sampling strata and the overall response rate. Conclusion: EHR and USC data may be used to define sampling strata that in turn may be used to enrich the final study sample. This design may be of particular interest for studies of rarer and understudied populations.

Public Attitudes toward Consent and Data Sharing in Biobank Research: A Large Multi-site Experimental Survey in the US.

Individuals participating in biobanks and other large research projects are increasingly asked to provide broad consent for open-ended research use and widespread sharing of their biosamples and data. We assessed willingness to participate in a biobank using different consent and data sharing models, hypothesizing that willingness would be higher under more restrictive scenarios. Perceived benefits, concerns, and information needs were also assessed. In this experimental survey, individuals from 11 US healthcare systems in the Electronic Medical Records and Genomics (eMERGE) Network were randomly allocated to one of three hypothetical scenarios: tiered consent and controlled data sharing; broad consent and controlled data sharing; or broad consent and open data sharing. Of 82,328 eligible individuals, exactly 13,000 (15.8%) completed the survey. Overall, 66% (95% CI: 63%-69%) of population-weighted respondents stated they would be willing to participate in a biobank; willingness and attitudes did not differ between respondents in the three scenarios. Willingness to participate was associated with self-identified white race, higher educational attainment, lower religiosity, perceiving more research benefits, fewer concerns, and fewer information needs. Most (86%, CI: 84%-87%) participants would want to know what would happen if a researcher misused their health information; fewer (51%, CI: 47%-55%) would worry about their privacy. The concern that the use of broad consent and open data sharing could adversely affect participant recruitment is not supported by these findings. Addressing potential participants' concerns and information needs and building trust and relationships with communities may increase acceptance of broad consent and wide data sharing in biobank research.

Clinical Sequencing Exploratory Research Consortium: Accelerating Evidence-Based Practice of Genomic Medicine.

Despite rapid technical progress and demonstrable effectiveness for some types of diagnosis and therapy, much remains to be learned about clinical genome and exome sequencing (CGES) and its role within the practice of medicine. The Clinical Sequencing Exploratory Research (CSER) consortium includes 18 extramural research projects, one National Human Genome Research Institute (NHGRI) intramural project, and a coordinating center funded by the NHGRI and National Cancer Institute. The consortium is exploring analytic and clinical validity and utility, as well as the ethical, legal, and social implications of sequencing via multidisciplinary approaches; it has thus far recruited 5,577 participants across a spectrum of symptomatic and healthy children and adults by utilizing both germline and cancer sequencing. The CSER consortium is analyzing data and creating publically available procedures and tools related to participant preferences and consent, variant classification, disclosure and management of primary and secondary findings, health outcomes, and integration with electronic health records. Future research directions will refine measures of clinical utility of CGES in both germline and somatic testing, evaluate the use of CGES for screening in healthy individuals, explore the penetrance of pathogenic variants through extensive phenotyping, reduce discordances in public databases of genes and variants, examine social and ethnic disparities in the provision of genomics services, explore regulatory issues, and estimate the value and downstream costs of sequencing. The CSER consortium has established a shared community of research sites by using diverse approaches to pursue the evidence-based development of best practices in genomic medicine.

Ethical, legal and social implications of incorporating personalized medicine into healthcare.

As research focused on personalized medicine has developed over the past decade, bioethics scholars have contemplated the ethical, legal and social implications of this type of research. In the next decade, there will be a need to broaden the focus of this work as personalized medicine moves into clinical settings. We consider two broad issues that will grow in importance and urgency. First, we analyze the consequences of the significant increase in health information that will be brought about by personalized medicine. Second, we raise concerns about the potential of personalized medicine to exacerbate existing disparities in healthcare.

Reviving the conversation around CPR/DNR.

This paper examines the historical rise of both cardiopulmonary resuscitation (CPR) and the do-not-resuscitate (DNR) order and the wisdom of their continuing status in U.S. hospital practice and policy. The practice of universal presumed consent to CPR and the resulting DNR policy are the products of a particular time and were responses to particular problems. In order to keep the excesses of technology in check, the DNR policies emerged as a response to the in-hospital universal presumed consent to CPR. We live with this historical concretion, which seems to perpetuate a false culture that the patient's wishes must be followed. The authors are critical of the current U.S. climate, where CPR and DNR are viewed as two among a panoply of patient choices, and point to UK practice as an alternative. They conclude that physicians in the United States should radically rethink approaches to CPR and DNR.

PEDS: developmental milestones--an accurate brief tool for surveillance and screening.

About 16% of children have developmental-behavioral disabilities but less than one-third of the children are detected by their health care providers, probably because of the use of informal milestones checklists. The goal of this study is to determine the reliability, validity, accuracy, and utility of a new tool, PEDS: Developmental Milestones (PEDS:DM). Data from a nationally representative sample of 1619 children administered developmental diagnostic measures were mined for items that best predicted performance in each developmental domain. A total of 112 met inclusion criteria, that is, sensitivity/specificity > or = 70%. For each domain/age level (birth to 8 years of age), sensitivity to performance less than or equal to the 16th percentile on diagnostic measures was 83% and specificity was 84%. Reliability was high (test-retest, .98 to .99; interrater, .82 to .96; kappa, .81). The readability level was 1.8 grades (range 1.1 to 2.6). The PEDS:DM appears to be a validated, accurate alternative to informal milestones checklists that are a probable contributor to underdetection of children with delays and disabilities.