Association between estrogen receptor-1 gene polymorphisms (rs1801132, rs2228480, rs2234693) and migraine susceptibility: an unveiling association through a comprehensive meta-analysis

Abstract Introduction This meta-analysis aims to find the relationship of ESR-1 gene polymorphisms (rs1801132, rs2228480, and rs2234693) with migraine risk among Caucasian and Asian populations. Methods To perform the present meta-analysis a search was carried out across several databases. The data obtained from the databases were analysed statistically using Review Manager 5.4 and MetaGenyo software. A total of 20 case–control studies were selected among them 12 articles were consisting of seven articles belonging to rs1801132, five articles belonging to rs2228480, and six articles belonging to rs2234693 for revealing the relationship between ESR-1 gene polymorphisms (rs1801132, rs2228480, and rs2234693) and migraine risk. The protocol for the present meta-analysis was registered (PROSPERO ID Number: 441920). Results A total of 20 articles were included in this meta-analysis. According to the findings of this study, people with ESR-1 (rs1801132, rs2228480, and rs2234693 did not show an association with migraine risk in the allelic, recessive, dominant, and over-dominant models. Conclusion However, the results from the present meta-analysis are conflicting from the previously meta-analysis reports. Further research is needed to unravel the complex genetic basis of this debilitating condition.

Authors

Institutions

Publication Details

Journal
Egyptian Journal of Medical Human Genetics
Published
2024-11-20
DOI
https://doi.org/10.1186/s43042-024-00607-1
Citations
1
Primary Topic
Migraine and Headache Studies
Type
article
Field-Weighted Citation Impact
0.39

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Association between estrogen receptor-1 gene polymorphisms (rs1801132, rs2228480, rs2234693) and migraine susceptibility: an unveiling association through a comprehensive meta-analysis

Gowtham Kumar Subbaraj, Sharon Benita Stephen, Gurudeva Chandrashekar, Jayakanthan Saravanan
1 citations
Egyptian Journal of Medical Human Genetics
Migraine and Headache Studies
0.39
article

Association between estrogen receptor-1 gene polymorphisms (rs1801132, rs2228480, rs2234693) and migraine susceptibility: an unveiling association through a comprehensive meta-analysis

Gowtham Kumar Subbaraj, Sharon Benita Stephen, Gurudeva Chandrashekar, Jayakanthan Saravanan
article en
1 citations

Abstract

Abstract Introduction This meta-analysis aims to find the relationship of ESR-1 gene polymorphisms (rs1801132, rs2228480, and rs2234693) with migraine risk among Caucasian and Asian populations. Methods To perform the present meta-analysis a search was carried out across several databases. The data obtained from the databases were analysed statistically using Review Manager 5.4 and MetaGenyo software. A total of 20 case–control studies were selected among them 12 articles were consisting of seven articles belonging to rs1801132, five articles belonging to rs2228480, and six articles belonging to rs2234693 for revealing the relationship between ESR-1 gene polymorphisms (rs1801132, rs2228480, and rs2234693) and migraine risk. The protocol for the present meta-analysis was registered (PROSPERO ID Number: 441920). Results A total of 20 articles were included in this meta-analysis. According to the findings of this study, people with ESR-1 (rs1801132, rs2228480, and rs2234693 did not show an association with migraine risk in the allelic, recessive, dominant, and over-dominant models. Conclusion However, the results from the present meta-analysis are conflicting from the previously meta-analysis reports. Further research is needed to unravel the complex genetic basis of this debilitating condition.

Egyptian Journal of Medical Human GeneticsVol. 25(1)
Chettinad Academy of Research and Education (IN), Sree Balaji Dental College and Hospital (IN)
Chettinad Academy of Research and Education
Openalex Percentile: Top 33%
Migraine and Headache Studies
0.39
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.