The utility of obesity polygenic risk scores from research to clinical practice: A review

Philip R. Jansen*, Niels Vos, Jorrit van Uhm, Ilona A. Dekkers, Rieneke van der Meer, Marcel M.A.M. Mannens, Mieke M. van Haelst

*Corresponding author for this work

Research output: Contribution to JournalReview articleAcademicpeer-review

Abstract

Obesity represents a major public health emergency worldwide, and its etiology is shaped by a complex interplay of environmental and genetic factors. Over the last decade, polygenic risk scores (PRS) have emerged as a promising tool to quantify an individual's genetic risk of obesity. The field of PRS in obesity genetics is rapidly evolving, shedding new lights on obesity mechanisms and holding promise for contributing to personalized prevention and treatment. Challenges persist in terms of its clinical integration, including the need for further validation in large-scale prospective cohorts, ethical considerations, and implications for health disparities. In this review, we provide a comprehensive overview of PRS for studying the genetics of obesity, spanning from methodological nuances to clinical applications and challenges. We summarize the latest developments in the generation and refinement of PRS for obesity, including advances in methodologies for aggregating genome-wide association study data and improving PRS predictive accuracy, and discuss limitations that need to be overcome to fully realize its potential benefits of PRS in both medicine and public health.

Original languageEnglish
Article numbere13810
Pages (from-to)1-14
Number of pages14
JournalObesity reviews
Volume25
Issue number11
Early online date29 Jul 2024
DOIs
Publication statusPublished - Nov 2024

Bibliographical note

Publisher Copyright:
© 2024 The Author(s). Obesity Reviews published by John Wiley & Sons Ltd on behalf of World Obesity Federation.

Funding

FundersFunder number
Nederlandse Organisatie voor Wetenschappelijk Onderzoek
ZonMw09150162210040
ZonMw

    Keywords

    • BMI
    • genetics
    • obesity
    • polygenic risk score

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