肥胖多基因风险评分从研究到临床实践的效用:综述。

IF 8 2区 医学 Q1 ENDOCRINOLOGY & METABOLISM Obesity Reviews Pub Date : 2024-07-29 DOI:10.1111/obr.13810
Philip R. Jansen, Niels Vos, Jorrit van Uhm, Ilona A. Dekkers, Rieneke van der Meer, Marcel M. A. M. Mannens, Mieke M. van Haelst
{"title":"肥胖多基因风险评分从研究到临床实践的效用:综述。","authors":"Philip R. Jansen,&nbsp;Niels Vos,&nbsp;Jorrit van Uhm,&nbsp;Ilona A. Dekkers,&nbsp;Rieneke van der Meer,&nbsp;Marcel M. A. M. Mannens,&nbsp;Mieke M. van Haelst","doi":"10.1111/obr.13810","DOIUrl":null,"url":null,"abstract":"<p>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.</p>","PeriodicalId":216,"journal":{"name":"Obesity Reviews","volume":"25 11","pages":""},"PeriodicalIF":8.0000,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/obr.13810","citationCount":"0","resultStr":"{\"title\":\"The utility of obesity polygenic risk scores from research to clinical practice: A review\",\"authors\":\"Philip R. Jansen,&nbsp;Niels Vos,&nbsp;Jorrit van Uhm,&nbsp;Ilona A. Dekkers,&nbsp;Rieneke van der Meer,&nbsp;Marcel M. A. M. Mannens,&nbsp;Mieke M. van Haelst\",\"doi\":\"10.1111/obr.13810\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>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.</p>\",\"PeriodicalId\":216,\"journal\":{\"name\":\"Obesity Reviews\",\"volume\":\"25 11\",\"pages\":\"\"},\"PeriodicalIF\":8.0000,\"publicationDate\":\"2024-07-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1111/obr.13810\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Obesity Reviews\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/obr.13810\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENDOCRINOLOGY & METABOLISM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Obesity Reviews","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/obr.13810","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
引用次数: 0

摘要

肥胖症是全球重大的公共卫生问题,其病因是由环境和遗传因素的复杂相互作用造成的。在过去十年中,多基因风险评分(PRS)已成为量化个人肥胖遗传风险的一种有前途的工具。肥胖遗传学领域的多基因风险评分正在迅速发展,为肥胖症的发病机制提供了新的线索,并有望为个性化预防和治疗做出贡献。在临床整合方面仍存在挑战,包括需要在大规模前瞻性队列中进一步验证、伦理考虑以及对健康差异的影响。在这篇综述中,我们全面概述了用于研究肥胖遗传学的 PRS,从方法学的细微差别到临床应用和挑战。我们总结了肥胖症 PRS 生成和完善方面的最新进展,包括全基因组关联研究数据汇总方法的进步和 PRS 预测准确性的提高,并讨论了需要克服的局限性,以充分实现 PRS 在医学和公共卫生方面的潜在益处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
The utility of obesity polygenic risk scores from research to clinical practice: A review

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.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Obesity Reviews
Obesity Reviews 医学-内分泌学与代谢
CiteScore
19.30
自引率
1.10%
发文量
130
审稿时长
1 months
期刊介绍: Obesity Reviews is a monthly journal publishing reviews on all disciplines related to obesity and its comorbidities. This includes basic and behavioral sciences, clinical treatment and outcomes, epidemiology, prevention and public health. The journal should, therefore, appeal to all professionals with an interest in obesity and its comorbidities. Review types may include systematic narrative reviews, quantitative meta-analyses and narrative reviews but all must offer new insights, critical or novel perspectives that will enhance the state of knowledge in the field. The editorial policy is to publish high quality peer-reviewed manuscripts that provide needed new insight into all aspects of obesity and its related comorbidities while minimizing the period between submission and publication.
期刊最新文献
The impact of behavioral weight management interventions on eating behavior traits in adults with overweight or obesity: A systematic review and meta-analysis. Association of childhood obesity with pubertal development in boys: A systematic review and meta-analysis. Trends in adherence to physical activity guidelines from 1997 to 2018 among adults with obesity: An analysis from the US National Health Interview Survey. Efficacy and safety of laparoscopic bariatric surgery in patients of 70 years and older: A systematic review and meta-analysis. Valuing behavioral interventions for obesity reduction: A scoping review of economic models.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1