Global priorities for large-scale biomarker-based prospective cohorts
The focus of this paper is on strategic approaches for establishing population-based prospective cohorts that collect and store biological samples from very large numbers of participants to help identify the determinants of common health outcomes. In particular, it aims to address key issues related...
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Published in | Cell genomics Vol. 2; no. 6; p. 100141 |
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Main Authors | , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Elsevier Inc
08.06.2022
Elsevier |
Online Access | Get full text |
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Summary: | The focus of this paper is on strategic approaches for establishing population-based prospective cohorts that collect and store biological samples from very large numbers of participants to help identify the determinants of common health outcomes. In particular, it aims to address key issues related to investigation of genetic, as well as social, environmental, and ancestral, diversity; generation of detailed genetic and other types of assay data; collection of detailed lifestyle and environmental exposure information; follow-up and characterization of incident health outcomes; and overcoming obstacles to data sharing and access (including capacity building). It concludes that there is a need for strategic planning at an international level (rather than the current ad hoc approach) toward the development of a carefully selected set of deeply characterized large-scale prospective cohorts that are readily accessible by researchers around the world.
Collins et al. highlight the value of prospective cohort studies that involve hundreds of thousands of participants, who are followed for a prolonged period, to investigate genetic, lifestyle, and environmental determinants of disease. They discuss the need for strategic planning at an international level to develop a set of deeply characterized, informatively diverse, large-scale prospective cohorts that are readily accessible by researchers around the world. |
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Bibliography: | SourceType-Other Sources-1 ObjectType-News-1 content type line 66 |
ISSN: | 2666-979X 2666-979X |
DOI: | 10.1016/j.xgen.2022.100141 |