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相关概念视频

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Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
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相关实验视频

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Sample Preparation to Bioinformatics Analysis of DNA Methylation: Association Strategy for Obesity and Related Trait Studies
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在血液样本中基于表观遗传学的年龄预测:模型开发.

Gonul Filoglu1, Sumeyye Zulal Sımsek1, Gokhan Ersoy2

  • 1Department of Science, Institute of Forensic Sciences and Legal Medicine, Istanbul University-Cerrahpasa, Istanbul, Turkey.

Journal of forensic sciences
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PubMed
概括

这项研究开发了一种DNA甲基化模型,用于准确估计土耳其人口的年龄. 6-CpG模型可靠地预测血液样本的时间年龄,有助于法医和临床应用.

关键词:
通过DNA甲基化.年龄估计年龄估计.表观遗传学是指表观遗传学.甲基化 SNaP 射击 射击

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科学领域:

  • 表观遗传学 在表观遗传学中,表观遗传学是指表观遗传学.
  • 基因组学就是基因组学.
  • 生物遗传学 生物遗传学

背景情况:

  • 衰老是一个多方面的过程,涉及遗传,表观遗传和环境影响,导致生理衰退.
  • 表观遗传修饰,特别是DNA甲基化,是基因表达的关键调节者,并与衰老过程有关.
  • 准确的年龄估计对于各种应用至关重要,包括法医科学和临床诊断.

研究的目的:

  • 为土耳其人口开发和验证一种新的表观遗传年龄估计模型.
  • 为了确定与时间年龄相关的DNA甲基化模式中的特定CpG位点.
  • 用血液样本评估模型的准确性,可靠性和潜在应用.

主要方法:

  • 根据年龄的相关性,选择了八个CpG地点 (TOM1L1,ELOVL2,ASPA,FHL2,C1orf132,CCDC102B,cg07082267,RASSF5).
  • 对来自不同年龄组的100名土耳其志愿者的血液样本中DNA甲基化模式的分析.
  • 使用多重线性回归的预测模型的开发,专注于6-CpG子集以获得最佳性能.
  • 通过敏感性分析,训练测试分割和五重交叉验证进行验证.

主要成果:

  • 一个6-CpG模型 (不包括cg07082267和TOM1L1) 在年龄预测方面表现出高准确性 (r=0.941).
  • 该模型解释了88%的年龄差异,低平均绝对误差 (MAE=4.07) 和根平均平方误差 (RMSE=5.73年).
  • 在低至1 ng的DNA输入下观察到可靠的性能,在各个年龄组和性别中保持一致的准确性.

结论:

  • 开发的基于DNA甲基化的年龄估计模型对土耳其人口来说是准确和可靠的.
  • 该模型显示了在法医调查和临床评估中实际应用的潜力.
  • 表观遗传标记为估计生物年龄和了解衰老过程提供了强大的工具.