Application of mendelian randomization methods in causal inference of observational study
10.3760/cma.j.issn.0253?9624.2019.06.015
- VernacularTitle:孟德尔随机化方法在观察性研究因果推断中的应用
- Author:
Lijuan LIN
1
;
Yongyue WEI
;
Ruyang ZHANG
;
Feng CHEN
Author Information
1. 南京医科大学公共卫生学院生物统计学系211166
- Keywords:
Mendelian randomization analysis;
Methods;
Genetic variation;
Causal inference
- From:
Chinese Journal of Preventive Medicine
2019;53(6):619-624
- CountryChina
- Language:Chinese
-
Abstract:
Mendelian randomization (MR) approach follows the Mendel′s law of inheritance, which is called"Parental alleles randomly assigned to the offspring",and refers to use genetic variants as an instrumental variable to develop causal inference between the exposure factor and the outcome from observational study. In recent years,with the rapid development of genome?wide association study (GWAS) and various omics data,the disclosure of a large number of aggregated data provides an opportunity for the wide application of MR approach in causal inference. We introduce three methods widely used in MR and then apply them to explore causal relationship between blood metabolites and depressive. The advantages and disadvantages of three methods in causal inference are compared in order to provide reference for the application of MR in observational studies.
