多基因分数的最新进展:翻译,公平性,方法和FAIR工具
Ruidong Xiang1,2, Martin Kelemen2,3,4, Yu Xu2,3,4,5
1Cambridge Baker Systems Genomics Initiative, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia.
Genome medicine
|February 19, 2024
概括
多基因分数 (PGS) 提高了疾病风险预测和临床试验效率. 解决数据共享,公平和解释挑战对于负责任的医疗保健实施至关重要.
科学领域:
- 遗传学 是一个遗传学.
- 基因组医学是基因组医学.
- 临床风险分层的临床风险分层
背景情况:
- 多基因分数 (PGS) 量化了对疾病的遗传倾向.
- 已经提出了PGS的许多潜在的临床应用.
- 将PGS整合到医疗保健中需要解决实施挑战.
研究的目的:
- 审查PGS在临床实践中的最新潜在益处.
- 识别和讨论阻碍PGS广泛实施的挑战.
- 概述克服这些挑战和促进公平使用的战略.
主要方法:
- 关于PGS临床实用性的最新进展和挑战的文献综述.
- 分析影响PGS开发和应用的因素.
- 综合社区对负责任的PGS整合的努力.
主要成果:
- PGS可以增加风险分层,支持诊断,预测治疗效益,并提高临床试验的效率.
- 关键的挑战包括公平的数据共享,跨祖先的公平表现,强大的PGS计算和负责任的沟通.
- 克服挑战需要分析改进,多样化的数据和社区协作.
结论:
- PGS为个性化医疗和改善医疗保健结果提供了巨大的潜力.
- 处理数据,公平和解释问题对于负责任和有影响力的临床整合至关重要.
- 持续的社区努力对于实现PGS在医疗保健中的全部潜力至关重要.
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