Dynamic clustering of genomics cohorts beyond race, ethnicity—and ancestry
Through a trait-based lens, the dynamic clustering approach reveals genomic patterns that transcend predefined classification categories. We propose that coupled with diverse data collection, new clustering approaches have the potential to draw a more complete portrait of genomic variation and to address, in parallel, technical and social aspects of its study.
Authors
- Hussein Mohsen (ORCID: https://orcid.org/0000-0002-6263-8865)
- Lajos Pusztai (ORCID: https://orcid.org/0000-0001-9632-6686)
- Prashant S. Emani (ORCID: https://orcid.org/0000-0002-3091-5231)
- Jian Carrot‐Zhang (ORCID: https://orcid.org/0000-0002-0103-9965)
- Quaid Morris (ORCID: https://orcid.org/0000-0002-2760-6999)
- Kim Blenman (ORCID: https://orcid.org/0000-0001-6070-0728)
Institutions
- Memorial Sloan Kettering Cancer Center (US)
- Cornell University (US)
- Yale Cancer Center (US)
- Yale University (US)
Publication Details
- Journal
- BMC Medical Genomics
- Published
- 2025-05-15
- DOI
- https://doi.org/10.1186/s12920-025-02154-z
- Citations
- 1
- Primary Topic
- Genetic Associations and Epidemiology
- Type
- article
- Field-Weighted Citation Impact
- 1.82
Funders
- Breast Cancer Research Foundation