[Application of latent class model in genetic association between ARID1A low-frequency variants and primary liver cancer].
Zhonghua Zhong Liu Za Zhi
; 43(7): 801-805, 2021 Jul 23.
Article
en Zh
| MEDLINE
| ID: mdl-34289576
ABSTRACT
Objective:
To analyze the association between low-frequency variants of ARID1A gene and primary liver cancer using latent category model.Methods:
The low-frequency variants of ARID1A gene was combined according to different functional areas, and the combined variables were analyzed by using the latent class model to obtain the latent variables. Then the logistic regression was used to analyze the association between low-frequency variants of ARID1A gene and primary liver cancer.Results:
The low-frequency variants of ARID1A gene were divided into three categories by the latent class model. The class 1 was mainly unmutated population, the proportion was 94.2% (2 454/2 603). The class 2 was mainly transcriptional regulatory domain mutation, take 4.8% (124/2 603). The class 3 was dominantly exon mutation, about 1.0% (27/2 603). Using class 1 as a reference, it was found that mutations in the transcriptional regulatory domain could reduce the risk of liver cancer (OR=0.601, 95% CI=0.364-0.992, P=0.046).Conclusion:
The latent class model can identify low-frequency variants of gene associated with liver cancer and can be extended to more genetic association studies of low-frequency variants related to complex diseases.Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Proteínas Nucleares
/
Neoplasias Hepáticas
Tipo de estudio:
Prognostic_studies
/
Risk_factors_studies
Límite:
Humans
Idioma:
Zh
Revista:
Zhonghua Zhong Liu Za Zhi
Año:
2021
Tipo del documento:
Article
País de afiliación:
China