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The utility of obesity polygenic risk scores from research to clinical practice: A review.
Jansen, Philip R; Vos, Niels; van Uhm, Jorrit; Dekkers, Ilona A; van der Meer, Rieneke; Mannens, Marcel M A M; van Haelst, Mieke M.
Afiliação
  • Jansen PR; Amsterdam UMC, Department of Human Genetics, University of Amsterdam, Amsterdam, Netherlands.
  • Vos N; Amsterdam Reproduction and Development Research Institute, Amsterdam, Netherlands.
  • van Uhm J; Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, VU University, Amsterdam, Netherlands.
  • Dekkers IA; Netherlands Institute for Neuroscience, Amsterdam, Netherlands.
  • van der Meer R; Amsterdam UMC, Department of Human Genetics, University of Amsterdam, Amsterdam, Netherlands.
  • Mannens MMAM; Amsterdam Reproduction and Development Research Institute, Amsterdam, Netherlands.
  • van Haelst MM; Amsterdam UMC, Department of Human Genetics, University of Amsterdam, Amsterdam, Netherlands.
Obes Rev ; : e13810, 2024 Jul 29.
Article em En | MEDLINE | ID: mdl-39075585
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Obes Rev Assunto da revista: METABOLISMO Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Holanda País de publicação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Obes Rev Assunto da revista: METABOLISMO Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Holanda País de publicação: Reino Unido