Related Experiment Video
Updated: Jan 19, 2026

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
Published on: June 21, 2018
Association between Common Genetic Variants in ESR1 and Stroke Risk: A Systematic Review and Meta-Analysis
Objectives:
The associations between estrogen receptor alpha (ESR1) polymorphisms and stroke risk have been investigated in various studies, but remain controversial. The aim of this meta-analysis was to determine the relationships between ESR1 rs2234693 and rs9340799 polymorphisms and the risk of stroke.
Methods:
Electronic databases of PubMed, Embase, Cochrane Library, CNKI, VIP database, and WanFang database were searched for eligible studies up to March 2019. The pooled odds ratios (ORs) with 95% confidence intervals (CIs) were calculated to assess the strength of associations under different genetic models.
Results:
Ten independent case-control studies including 2151 stroke cases and 6378 control subjects were enrolled in this meta-analysis. The meta-analysis results indicated that ESR1 rs2234693 polymorphism was associated with an increased risk of stroke in recessive model (OR, 1.20; 95%CI, 1.04-1.38) and homozygous model (OR, 1.18; 95%CI, 1.00-1.38). Subgroup analysis on stroke subtype showed that rs2234693 polymorphism was connected with ischemic stroke, but not hemorrhagic stroke. The further subgroup analyses on ethnicity and gender suggested that the association between rs2234693 polymorphism and stroke risk was significant in Caucasian population and in the male population. No positive associations between rs9340799 polymorphism and stroke risk were detected in 4 genetic models.
Conclusions:
The results of this meta-analysis suggest that ESR1 rs2234693 polymorphism is significantly correlated with an increased risk of stroke, especially ischemic stroke. There was no evidence of a significant association between ESR1 rs9340799 polymorphism and stroke risk.
More Related Videos
09:38Generalized Psychophysiological Interaction PPI Analysis of Memory Related Connectivity in Individuals at Genetic Risk for Alzheimer's Disease
Published on: November 14, 2017
09:34Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
Published on: April 4, 2018
Related Concept Videos
Genome-wide Association Studies-GWAS
GWAS does not require the identification of the target gene involved in...
Coronary Artery Disease I: Introduction
Regulation of Stroke Volume
Preload refers to the degree of stretch on the heart before it contracts. It's analogous to the stretching of a rubber band; the more it's stretched, the more forcefully it snaps back. This concept is encapsulated in the Frank-Starling law of the...
Single Nucleotide Polymorphisms-SNPs
Psychoneuroimmunology: Cardiovascular Disease
A key area of focus in PNI is the relationship between stress and coronary...
Human Genetics
The complex relationship between genetics and psychology is observable through common biological components such...