法医学杂志2023，Vol.39Issue(6)：601-607,7.DOI:10.12116/j.issn.1004-5619.2023.530106
基于DNA甲基化推断年龄的建模方法与影响因素
Modeling Methods and Influencing Factors for Age Estimation Based on DNA Methylation
摘要
Abstract
Age estimation based on tissues or body fluids is an important task in forensic science.The changes of DNA methylation status with age have certain rules,which can be used to estimate the age of the individuals.Therefore,it is of great significance to discover specific DNA methylation sites and develop new age estimation models.At present,statistical models for age estimation have been de-veloped based on the rule that DNA methylation status changes with age.The commonly used models include multiple linear regression model,multiple quantile regression model,support vector machine model,artificial neural network model,random forest model,etc.In addition,there are many factors that affect the level of DNA methylation,such as the tissue specificity of methylation.This paper re-views these modeling methods and influencing factors for age estimation based on DNA methylation,with a view to provide reference for the establishment of age estimation models.关键词
法医遗传学/DNA甲基化/年龄推断/统计模型/综述Key words
forensic genetics/DNA methylation/age estimation/statistical model/review分类
医药卫生引用本文复制引用
黄逸航,梁伟波,蹇慧,屈胜秋..基于DNA甲基化推断年龄的建模方法与影响因素[J].法医学杂志,2023,39(6):601-607,7.基金项目
国家自然科学基金资助项目(81971799) （81971799）
