Work

All of Us diversity and scale yield context-dependent improvements in polygenic prediction

Year: 2026

Type: article

Source: Nature Genetics

DOI: 10.1038/s41588-026-02734-4

Authors: Kristin Tsuo, Zhuozheng Shi, Tian Ge, Ravi Mandla, Kangcheng Hou, Yi Ding, Bogdan Pasaniuc, Ying Wang, Alicia R. Martin

Institutions: Broad Institute, Massachusetts General Hospital, Stanley Center for Psychiatric Research, University of Pennsylvania, Harvard University, Dana-Farber Cancer Institute

Language: English

Topic: Genetic Associations and Epidemiology

Subfield: Genetics

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDGs: Good health and well-being, Reduced inequalities

Open Access status: green

Funders: European Commission, National Institutes of Health, National Heart, Lung, and Blood Institute, National Institute of Mental Health, National Human Genome Research Institute

Awards: Generalizing polygenic risk prediction methods across populations for insights into psychiatric disease, International consortium for integrative genomics prediction, G434337789, Generalizing polygenic risk prediction methods across populations for insights into psychiatric disease, Integrating polygenic and environmental risk factors for asthma in diverse populations, G9000230536, Deciphering respiratory disease mechanisms through integration of genomic and functional data across massive global biobanks, Enabling improved applicability and transferability of polygenic scores across populations, Integrating Genetics and Socio-Environmental Factors to Predict Disease Progression, PRS Center for Admixed Populations

OpenAlex ID: W7166440212

FWCI: 37.34

Cites: 64

Cited by: 24

Related to: 10