Are physicians prepared for whole genome sequencing? a qualitative analysis.

Although the integration of whole genome sequencing (WGS) into standard medical practice is rapidly becoming feasible, physicians may be unprepared to use it. Primary care physicians (PCPs) and cardiologists enrolled in a randomized clinical trial of WGS received genomics education before completing semi-structured interviews. Themes about preparedness were identified in transcripts through team-based consensus-coding. Data from 11 PCPs and 9 cardiologists suggested that physicians enrolled in the trial primarily to prepare themselves for widespread use of WGS in the future. PCPs were concerned about their general genomic knowledge, while cardiologists were concerned about how to interpret specific types of results and secondary findings. Both cohorts anticipated preparing extensively before disclosing results to patients by using educational resources with which they were already familiar, and both cohorts anticipated making referrals to genetics specialists as needed. A lack of laboratory guidance, time pressures, and a lack of standards contributed to feeling unprepared. Physicians had specialty-specific concerns about their preparedness to use WGS. Findings identify specific policy changes that could help physicians feel more prepared, and highlight how providers of all types will need to become familiar with interpreting WGS results.

Investigators' perspectives on translating human microbiome research into clinical practice.

BACKGROUND: Human microbiome research has the potential to transform the practice of medicine, fundamentally shifting the ways in which we think not only about human health, illness and disease, but also about clinical practice and public health interventions. Drawing from a larger qualitative study on ethical, legal and social dimensions of human microbiome research, in this article, we document perspectives related to the translation of human microbiome research into clinical practice, focusing particularly on implications for health, illness and disease. METHODS: We conducted 60 in-depth, semi-structured interviews (2009-2010) with 63 researchers and National Institutes of Health project leaders ('investigators') involved with human microbiome research. The interviews explored a range of ethical, legal and social implications of human microbiome research, including investigators' perspectives on potential strategies for translating findings to clinical practice. Using thematic content analysis, we identified and analyzed emergent themes and patterns. RESULTS: We identified 3 themes: (1) investigators' general perspectives on the clinical utility of human microbiome research, (2) investigators' perspectives on antibiotic use, overuse and misuse, and (3) investigators' perspectives concerning future challenges of translating data to clinical practice. CONCLUSION: The issues discussed by investigators concerning the clinical significance of human microbiome research, including embracing a new paradigm of health and disease, the importance of microbial communities, and clinical utility, will be of critical importance as this research moves forward.

Balancing the risks and benefits of genomic data sharing: genome research participants' perspectives.

BACKGROUND: Technological advancements are rapidly propelling the field of genome research forward, while lawmakers attempt to keep apace with the risks these advances bear. Balancing normative concerns of maximizing data utility and protecting human subjects, whose privacy is at risk due to the identifiability of DNA data, are central to policy decisions. Research on genome research participants making real-time data sharing decisions is limited; yet, these perspectives could provide critical information to ongoing deliberations. METHODS: We conducted a randomized trial of 3 consent types affording varying levels of control over data release decisions. After debriefing participants about the randomization process, we invited them to a follow-up interview to assess their attitudes toward genetic research, privacy and data sharing. RESULTS: Participants were more restrictive in their reported data sharing preferences than in their actual data sharing decisions. They saw both benefits and risks associated with sharing their genomic data, but risks were seen as less concrete or happening in the future, and were largely outweighed by purported benefits. CONCLUSION: Policymakers must respect that participants' assessment of the risks and benefits of data sharing and their privacy-utility determinations, which are associated with their final data release decisions, vary. In order to advance the ethical conduct of genome research, proposed policy changes should carefully consider these stakeholder perspectives.

The right to ignore genetic status of late onset genetic disease in the genomic era; Prenatal testing for Huntington disease as a paradigm.

During the last decade, the field of human genome research has gone through a phase of rapid discovery that has provided scientists and physicians with a wide variety of research tools that are applicable to important medical issues. We describe a true case of familial Huntington disease (HD) in which we modified personal details to protect patient's privacy, where the proband at risk preferred not to know his disease status but wanted to know the status in his unborn child. Once we found the father to be negative, the case raised an important ethical question regarding the management of this as well as future pregnancies. This article discusses the arguments for and against the right not to know of one's carrier status, as well as professional obligations in the context of withholding unwanted information that may have direct implications not only for the patient himself but also for other family members. HD has served as a model for many other adult onset genetic diseases in terms of carrier testing guidelines. Hence, we feel it is time to revisit the issue of prenatal testing for HD and consider updating the current recommendations regarding the patient's right to "genetic ignorance", or the right not to know genetic information.

There and back again: the impact of adult HIV prevalence on national life expectancies.

Worldwide we have seen dramatic increases in HIV prevalence and decreases in life expectancy over the last decade. The aim of this study was to determine the association between HIV prevalence and life expectancy. A strong negative association between adult HIV prevalence and life expectancy was observed for 137 countries. Because high adult HIV prevalence poses the greatest threat to countries with limited health resources, our study supports increased efforts to provide antiretrovirals in these countries.

Can trasmitral Doppler E-waves differentiate hypertensive hearts from normal?

Physiological models of transmitral flow predict E-wave contour alteration in response to variation of model parameters (stiffness, relaxation, mass) reflecting the physiology of hypertension. Accordingly, analysis of only the E-wave (rather than the E-to-A ratio) should be able to differentiate between hypertensive subjects and control subjects. Conventional versus model-based image processing methods have never been compared in their ability to differentiate E-waves of hypertensive subjects with respect to age-matched control subjects. Digitally acquired transmitral Doppler flow images were analyzed by an automated model-based image processing method. Model-derived indexes were compared with conventional E-wave indexes in 22 subjects: 11 with hypertension and echocardiographically verified ventricular hypertrophy and 11 age-matched nonhypertensive control subjects. Conventional E-wave indexes included peak E, E, and acceleration and deceleration times. Model-based image processing-derived indexes included acceleration and deceleration times, potential energy index, and damping and kinematic constants. Intergroup comparison yielded lower probability values for model-based compared with conventional indexes. In the subjects studied, Doppler E-wave images analyzed by this automated method (which eliminates the need for hand-digitizing contours or the manual placement of cursors) demonstrate diastolic function alteration secondary to hypertension made discernible by model-based indexes. The method uses the entire E-wave contour, quantitatively differentiates between hypertensive subjects and control subjects, and has potential for automated noninvasive diastolic function evaluation in large patient populations, such as hypertension and other transmitral flow velocity-altering pathophysiological states.