综述疾病风险预测方法和应用在奥米克时代的应用
Chen Sun1,2, Xiangshu Cheng1,2, Jing Xu1,2
1College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Proteomics
|March 24, 2024
概括
奥米克技术彻底改变了疾病风险预测和预防,提供了个性化的健康见解. 目前的挑战和未来的机会在基于OMICs的模型中被探索用于临床实践.
科学领域:
- 生物医学研究的研究.
- 基因组学和个性化医学
- 医疗信息学 医疗信息学
背景情况:
- 风险预测和疾病预防是21世纪医疗保健的关键挑战.
- 奥米克技术 (基因组学,转录组学,表观组学,蛋白质组学) 已经成为风险评估的强大工具.
- 来自omics数据的生物标志物可以显著改善预测模型.
研究的目的:
- 审查构建基于omics的疾病风险模型的过程.
- 检查这些模型在四种特定疾病中的应用.
- 确定基于OMICs的风险预测在临床应用中的当前挑战和未来机会.
主要方法:
- 基于OMIC的疾病风险模型构建的文献综述.
- 对四种代表性疾病的应用分析.
- 讨论局限性和未来的前景.
主要成果:
- 欧米克技术提供先进的生物标志物发现,用于增强疾病风险预测.
- 在各种疾病环境中证明了成功的应用.
- 确定的局限性包括数据集成,模型验证和临床实施.
结论:
- 基于Omics的风险预测对个性化医疗和疾病预防具有重大前景.
- 应对当前的挑战对于将研究转化为有效的临床实践至关重要.
- 未来的研究应该集中在强大的模型开发和无集成到医疗保健系统.
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