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开发 VISAGE 增强工具和统计模型,以估算血液、口腔细胞和骨骼中的表观遗传年龄。

Development of the VISAGE enhanced tool and statistical models for epigenetic age estimation in blood, buccal cells and bones.

机构信息

Central Forensic Laboratory of the Police, Warsaw, Poland.

Institute of Legal Medicine, Medical University of Innsbruck, Innsbruck, Austria.

出版信息

Aging (Albany NY). 2021 Mar 11;13(5):6459-6484. doi: 10.18632/aging.202783.

DOI:10.18632/aging.202783
PMID:33707346
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7993733/
Abstract

DNA methylation is known as a biomarker for age with applications in forensics. Here we describe the VISAGE (VISible Attributes through GEnomics) Consortium's enhanced tool for epigenetic age estimation in somatic tissues. The tool is based on eight DNA methylation markers (44 CpGs), bisulfite multiplex PCR followed by sequencing on the MiSeq FGx platform, and three statistical prediction models for blood, buccal cells and bones. The model for blood is based on six CpGs from , , , , and , and predicts age with a mean absolute error (MAE) of 3.2 years, while the model for buccal cells includes five CpGs from , , , and and predicts age with MAE of 3.7 years, and the model for bones has six CpGs from and and predicts age with MAE of 3.4 years. The VISAGE enhanced tool for age estimation in somatic tissues enables reliable collection of DNA methylation data from small amounts of DNA using a sensitive multiplex MPS assay that provides accurate estimation of age in blood, buccal swabs, and bones using the statistical model tailored to each tissue.

摘要

DNA 甲基化是一种已知的年龄生物标志物,在法医学中有应用。在这里,我们描述了 VISAGE(通过基因组学可见属性)联盟用于估计体组织表观遗传年龄的增强工具。该工具基于 8 个 DNA 甲基化标记物(44 个 CpG 位点),亚硫酸氢盐多重 PCR 后在 MiSeq FGx 平台上测序,以及针对血液、口腔细胞和骨骼的三种统计预测模型。血液模型基于来自 、 、 、 和 的六个 CpG 位点,预测年龄的平均绝对误差(MAE)为 3.2 年,而口腔细胞模型包含来自 、 、 、 和 的五个 CpG 位点,预测年龄的 MAE 为 3.7 年,骨骼模型有来自 和 的六个 CpG 位点,预测年龄的 MAE 为 3.4 年。用于体组织年龄估计的 VISAGE 增强工具可使用灵敏的多重 MPS 测定法可靠地从小量 DNA 中收集 DNA 甲基化数据,该测定法使用针对每种组织定制的统计模型提供血液、口腔拭子和骨骼中年龄的准确估计。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7678/7993733/f277d2b73e8b/aging-13-202783-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7678/7993733/976c114544f0/aging-13-202783-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7678/7993733/3eba0a57c2b8/aging-13-202783-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7678/7993733/a27f7edd070e/aging-13-202783-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7678/7993733/35387ce329af/aging-13-202783-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7678/7993733/f277d2b73e8b/aging-13-202783-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7678/7993733/976c114544f0/aging-13-202783-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7678/7993733/3eba0a57c2b8/aging-13-202783-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7678/7993733/a27f7edd070e/aging-13-202783-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7678/7993733/35387ce329af/aging-13-202783-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7678/7993733/f277d2b73e8b/aging-13-202783-g005.jpg

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