Modeling Methods and Influencing Factors for Age Estimation Based on DNA Methylation.
Fa Yi Xue Za Zhi
; 39(6): 601-607, 2023 Dec 25.
Article
en En, Zh
| MEDLINE
| ID: mdl-38228480
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 developed 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 reviews 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.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Metilación de ADN
/
Genética Forense
Tipo de estudio:
Prognostic_studies
/
Risk_factors_studies
Límite:
Humans
Idioma:
En
/
Zh
Revista:
Fa Yi Xue Za Zhi
Asunto de la revista:
JURISPRUDENCIA
Año:
2023
Tipo del documento:
Article
País de afiliación:
China
Pais de publicación:
CHINA
/
CN
/
REPUBLIC OF CHINA