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The article focuses on the U.S. Common Rule's failure to adequately address group risks, Indigenous sovereignty, and historical research harms, arguing for revisions that prioritize collective well-being and robust community engagement. It highlights the ongoing impacts of research exploitation on Indigenous communities and advocates for Indigenous Data Sovereignty as a framework to ensure ethical and equitable research practices.

Meta-analyses of association results for blood pressure using exome-centric single-variant and gene-based tests identified 31 new loci in a discovery stage among 146,562 individuals, with follow-up and meta-analysis in 180,726 additional individuals (total n = 327,288). These blood pressure-associated loci are enriched for known variants for cardiometabolic traits. Associations were also observed for the aggregation of rare and low-frequency missense variants in three genes, NPR1, DBH, and PTPMT1. In addition, blood pressure associations at 39 previously reported loci were confirmed. The identified variants implicate biological pathways related to cardiometabolic traits, vascular function, and development. Several new variants are inferred to have roles in transcription or as hubs in protein-protein interaction networks. Genetic risk scores constructed from the identified variants were strongly associated with coronary disease and myocardial infarction. This large collection of blood pressure-associated loci suggests new therapeutic strategies for hypertension, emphasizing a link with cardiometabolic risk.

This article aims to explore the ethical issues arising from attempts to diversify genomic data and include individuals from underserved groups in studies exploring the relationship between genomics and health. We employed a qualitative synthesis design, combining data from three sources: 1) a rapid review of empirical articles published between 2000 and 2022 with a primary or secondary focus on diversifying genomic data, or the inclusion of underserved groups and ethical issues arising from this, 2) an expert workshop and 3) a narrative review. Using these three sources we found that ethical issues are interconnected across structural factors and research practices. Structural issues include failing to engage with the politics of knowledge production, existing inequities, and their effects on how harms and benefits of genomics are distributed. Issues related to research practices include a lack of reflexivity, exploitative dynamics and the failure to prioritise meaningful co-production. Ethical issues arise from both the structure and the practice of research, which can inhibit researcher and participant opportunities to diversify data in an ethical way. Diverse data are not ethical in and of themselves, and without being attentive to the social, historical and political contexts that shape the lives of potential participants, endeavours to diversify genomic data run the risk of worsening existing inequities. Efforts to construct more representative genomic datasets need to develop ethical approaches that are situated within wider attempts to make the enterprise of genomics more equitable. [ABSTRACT FROM AUTHOR]

The article presents a report from the American Association of Physical Anthropologists in the indigenous data sovereignties and data sharing in biological anthropology. It mentions that lack of conversation regarding Indigenous data sovereignties as concerning given that Indigenous and allied thinkers have often intervened data governance.

Biotinylated bleomycin [A.sub.5] is attached to streptavidin-derivatized microbubbles and a solution containing the conjugate is passed over a monolayer of cultured MCF-7 cells. No binding is seen on any tested cell line when the microbubbles lacked conjugated bleomycin [A.sub.5] or when the microbubble contained a bleomycin [A.sub.5] analogue lacking the carbohydrate moiety.

Integration of genomic technology into healthcare settings establishes new capabilities to predict disease susceptibility and optimize treatment regimes. Yet, Indigenous peoples remain starkly underrepresented in genetic and clinical health research and are unlikely to benefit from such efforts. To foster collaboration with Indigenous communities, we propose six principles for ethical engagement in genomic research: understand existing regulations, foster collaboration, build cultural competency, improve research transparency, support capacity building, and disseminate research findings. Inclusion of underrepresented communities in genomic research has the potential to expand our understanding of genomic influences on health and improve clinical approaches for all populations. Indigenous peoples are still underrepresented in genetic research. Here, the authors propose an ethical framework consisting of six major principles that encourages researchers and Indigenous communities to build strong and equal partnerships to increase trust, engagement and diversity in genomic studies. [ABSTRACT FROM AUTHOR]