Genetic prediction models are poised to revolutionize medicine. But because they have been trained on European DNA, they threaten to widen health care disparities.

Job Description OVERVIEW: The University of Washington Department of Bioethics and Humanities (B&H) has an outstanding opportunity for a full-time Research Coordinator 3 to support a recently awar...

Despite increasing focus on the intersection of genetic and social risk factors on health, heterogeneity in how these factors are measured, distributed, and analyzed across populations and datasets co...

In this Perspective, authors from the Polygenic Risk Methods Development (PRIMED) Consortium highlight the ethical and analytical impact of population descriptors in polygenic risk score development a...

Despite the growing recognition that social determinants of health (SDoH) play a prominent role in shaping health outcomes, inconsistent measures across health systems and research studies - and the a...

Our understanding of the dependence of the genetic and environmental architecture of common diseases on age is incomplete. Here, we use longitudinal data to quantify age-dependent genetic and environm...

Recently, admixed populations make up an increasing percentage of the US and global populations, and the admixture is not uniform over space or time o…

Sharing diverse genomic and other biomedical datasets is critical to advance scientific discoveries and their equitable translation to improve human health. However, data sharing remains challenging i...

People of South Asian descent are more likely to be affected by heart disease, but their risks often go unnoticed. Researchers are looking to genetics to learn more and prevent early deaths.

In the January 2025 issue of The Genomics Landscape, NHGRI Director Eric Green announces the appointment of Erin Ramos as the new director of the Division of Genome Sciences (DGSci).

Click on the title to browse this issue

To lessen health and healthcare disparities and extend advances in genomic medicine to all, the PRIMED Consortiumis bringing together investigators and datasets from across the globe to develop PRS methods and improve their performance across diverse populations. We present Consortium objectives and design, ongoing activities, and initial products.

PRIMED investigators are innovating new polygenic risk score (PRS) methods and models to improve prediction of key traits across diverse, global populations. PRIMED is also developing new approaches…

Join the conversation

Polygenic risk scores (PRSs) summarize the genetic predisposition of a complex human trait or disease and may become a valuable tool for advancing precision medicine. However, PRSs that are developed ...

Background Many present analyses of Hispanic/Latino populations in epidemiologic research aggregate all members of this ethnic group, despite immense diversity in genetic backgrounds, environment, and...