Trends in large-scale human population cohorts.

Authors

Xiaoxi Jing, Zeqi Yan, Shuo Zhang, Yajie Zhao

Published in

Trends in genetics : TIG. Sep 01, 2026. Epub Sep 01, 2026.

Abstract

As a foundational infrastructure of biomedical research, large-scale human population cohorts have undergone rapid progress over the past decades. Driven by advances in high-throughput omics technologies, widespread adoption of electronic health records, and the emergence of artificial intelligence, these cohorts now integrate deep molecular profiling with longitudinal real-world data at an unprecedented scale. This transformation has shifted cohort research from primarily descriptive association studies toward mechanistic discovery, refined risk stratification, and genetically informed therapeutic development. In parallel, cohort initiatives are expanding globally beyond Western populations, accompanied by increasingly diverse funding, governance, and data-sharing models. Here, we review the major transformative trends shaping large-scale human population cohorts and discuss how these resources are redefining disease biology, translational research, and the future of precision medicine.

PMID:
42680643
Bibliographic data and abstract were imported from PubMed on 02 Sep 2026.

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