Large-scale sequencing tests, including whole-exome and whole-genome sequencing, are rapidly moving into clinical use. Sequencing is already being used clinically to identify therapeutic opportunities for cancer patients who have run out of conventional treatment options, to help diagnose children with puzzling neurodevelopmental conditions, and to clarify appropriate drug choices and dosing in individuals. To evaluate and support clinical applications of these technologies, the National Human Genome Research Institute and National Cancer Institute have funded studies on clinical and research sequencing under (...) the Clinical Sequencing Exploratory Research program as well as studies on return of results. Most of these studies use sequencing in real-world clinical settings and collect data on both the application of sequencing and the impact of receiving genomic findings on study participants. They are occurring in the context of controversy over how to obtain consent for exome and genome sequencing. (shrink)

Biomedical research using data from participants’ mobile devices borrows heavily from the ethos of the “citizen science” movement, by delegating data collection and transmission to its volunteer subjects. This engagement gives volunteers the opportunity to feel like partners in the research and retain a reassuring sense of control over their participation. These virtues, in turn, give both grass-roots citizen science initiatives and institutionally sponsored mHealth studies appealing features to flag in recruiting participants from the public. But while grass-roots citizen science (...) projects are often community-based, mHealth research ultimately depends on the individuals who own and use mobile devices. This inflects the ethos of mHealth research towards a celebration of individual autonomy and empowerment, at the expense of its implications for the communities or groups to which its individual participants belong. But the prospects of group harms — and benefits — from mHealth research are as vivid as they are in other forms of data-intensive “precision health” research, and will be important to consider in the design of any studies using this approach. (shrink)

In “Extending Research Protections to Tribal Communities,” Saunkeah et. al. argue that sovereignty and solidarity are necessary to extend research protections under the Belmont principles and deriv...

In the United States, health disparities have been framed by categories of race. Racial health disparities have been documented for cardiovascular disease, cancer, diabetes, HIV/AIDS, and numerous other diseases and measures of health status. Although such disparities can be read as symptoms of disparities in healthcare access, pervasive social and economic inequities, and discrimination, some have suggested that the disparities might be due, at least in part, to biological differences based on race. Or, to be more precise, if race itself (...) has no determined biological meaning, race may nonetheless be a proxy that collects a group of individuals who share certain physiological or genotypic features that affect health. (shrink)

My research partnership with the Korean Community Service Center of Seattle is the deepest research relationship I have had since transitioning from working with a national “minority health”...