Cargando…

Comprehensive analysis of genes associated with migraine in the Indian population: a meta-analysis of genetic association studies with trial sequential analysis

Migraine is a complex disorder with multigenic inheritance and is characterized by the cardinal symptom of unilateral headache. Many genes are responsible for increasing the susceptibility of disease within different populations. Therefore, our primary aim in this review was to catalog the many gene...

Descripción completa

Detalles Bibliográficos
Autores principales: Sudershan, Amrit, Pushap, Agar Chander, Bhagat, Meenakshi, Sharma, Isha, Kumar, Hardeep, Digra, Sanjeev K., Kumar, Parvinder
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10625547/
https://www.ncbi.nlm.nih.gov/pubmed/37925562
http://dx.doi.org/10.1038/s41598-023-45531-3
_version_ 1785131155016646656
author Sudershan, Amrit
Pushap, Agar Chander
Bhagat, Meenakshi
Sharma, Isha
Kumar, Hardeep
Digra, Sanjeev K.
Kumar, Parvinder
author_facet Sudershan, Amrit
Pushap, Agar Chander
Bhagat, Meenakshi
Sharma, Isha
Kumar, Hardeep
Digra, Sanjeev K.
Kumar, Parvinder
author_sort Sudershan, Amrit
collection PubMed
description Migraine is a complex disorder with multigenic inheritance and is characterized by the cardinal symptom of unilateral headache. Many genes are responsible for increasing the susceptibility of disease within different populations. Therefore, our primary aim in this review was to catalog the many genes that have been studied in India and after collecting the necessary information, we calculated a more precise risk relationship between an identified variation and migraine. The gene and its associated risk variant were discovered in the Indian population using a PRISMA-based systematic literature review guideline from online databases such as PubMed & Google Scholar. We constructed pooled odds ratios with 95% confidence intervals using multiple genetic models. Also, we looked for heterogeneity using Cochran's Q Test and the I2 statistic. Publication bias was analyzed using Begg's and Egger's tests. A p-value less than 0.05 was judged to be statistically significant for all tests. After a critical analysis, a total of 24 studies explored about 21 genes with 31 variants out of which only nine genes have been studied more than two times in the Indian population and thus were found eligible for the meta-analysis. It has been found, that the ACE-DD variant (allele model: OR: 1.37 [1.11–1.69], I(2) = 0%/ fixed model), ESR1-PvuII (allele model: OR: 1.47 [1.24–1.74], I(2) = 0%/ fixed model) significantly increases the risk of migraine in Indian population. Also, a protective role of the LRP1-rs11172113variant was observed for both migraine and its clinical subtype i.e., MA (allelic model: OR of 0.65 [0.50–0.83] I(2) = 44% and allele: OR: 0.54 [0.37–0.78], I(2) = 52%) respectively. Overall, the results of this meta-analysis indicated that the ACE-DD variant and the ESR1-PvuII were associated with an increased risk of migraine in the Indian community, while the LRP1-rs11172113 variant was associated with protection from migraine in this population.
format Online
Article
Text
id pubmed-10625547
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-106255472023-11-06 Comprehensive analysis of genes associated with migraine in the Indian population: a meta-analysis of genetic association studies with trial sequential analysis Sudershan, Amrit Pushap, Agar Chander Bhagat, Meenakshi Sharma, Isha Kumar, Hardeep Digra, Sanjeev K. Kumar, Parvinder Sci Rep Article Migraine is a complex disorder with multigenic inheritance and is characterized by the cardinal symptom of unilateral headache. Many genes are responsible for increasing the susceptibility of disease within different populations. Therefore, our primary aim in this review was to catalog the many genes that have been studied in India and after collecting the necessary information, we calculated a more precise risk relationship between an identified variation and migraine. The gene and its associated risk variant were discovered in the Indian population using a PRISMA-based systematic literature review guideline from online databases such as PubMed & Google Scholar. We constructed pooled odds ratios with 95% confidence intervals using multiple genetic models. Also, we looked for heterogeneity using Cochran's Q Test and the I2 statistic. Publication bias was analyzed using Begg's and Egger's tests. A p-value less than 0.05 was judged to be statistically significant for all tests. After a critical analysis, a total of 24 studies explored about 21 genes with 31 variants out of which only nine genes have been studied more than two times in the Indian population and thus were found eligible for the meta-analysis. It has been found, that the ACE-DD variant (allele model: OR: 1.37 [1.11–1.69], I(2) = 0%/ fixed model), ESR1-PvuII (allele model: OR: 1.47 [1.24–1.74], I(2) = 0%/ fixed model) significantly increases the risk of migraine in Indian population. Also, a protective role of the LRP1-rs11172113variant was observed for both migraine and its clinical subtype i.e., MA (allelic model: OR of 0.65 [0.50–0.83] I(2) = 44% and allele: OR: 0.54 [0.37–0.78], I(2) = 52%) respectively. Overall, the results of this meta-analysis indicated that the ACE-DD variant and the ESR1-PvuII were associated with an increased risk of migraine in the Indian community, while the LRP1-rs11172113 variant was associated with protection from migraine in this population. Nature Publishing Group UK 2023-11-04 /pmc/articles/PMC10625547/ /pubmed/37925562 http://dx.doi.org/10.1038/s41598-023-45531-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Sudershan, Amrit
Pushap, Agar Chander
Bhagat, Meenakshi
Sharma, Isha
Kumar, Hardeep
Digra, Sanjeev K.
Kumar, Parvinder
Comprehensive analysis of genes associated with migraine in the Indian population: a meta-analysis of genetic association studies with trial sequential analysis
title Comprehensive analysis of genes associated with migraine in the Indian population: a meta-analysis of genetic association studies with trial sequential analysis
title_full Comprehensive analysis of genes associated with migraine in the Indian population: a meta-analysis of genetic association studies with trial sequential analysis
title_fullStr Comprehensive analysis of genes associated with migraine in the Indian population: a meta-analysis of genetic association studies with trial sequential analysis
title_full_unstemmed Comprehensive analysis of genes associated with migraine in the Indian population: a meta-analysis of genetic association studies with trial sequential analysis
title_short Comprehensive analysis of genes associated with migraine in the Indian population: a meta-analysis of genetic association studies with trial sequential analysis
title_sort comprehensive analysis of genes associated with migraine in the indian population: a meta-analysis of genetic association studies with trial sequential analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10625547/
https://www.ncbi.nlm.nih.gov/pubmed/37925562
http://dx.doi.org/10.1038/s41598-023-45531-3
work_keys_str_mv AT sudershanamrit comprehensiveanalysisofgenesassociatedwithmigraineintheindianpopulationametaanalysisofgeneticassociationstudieswithtrialsequentialanalysis
AT pushapagarchander comprehensiveanalysisofgenesassociatedwithmigraineintheindianpopulationametaanalysisofgeneticassociationstudieswithtrialsequentialanalysis
AT bhagatmeenakshi comprehensiveanalysisofgenesassociatedwithmigraineintheindianpopulationametaanalysisofgeneticassociationstudieswithtrialsequentialanalysis
AT sharmaisha comprehensiveanalysisofgenesassociatedwithmigraineintheindianpopulationametaanalysisofgeneticassociationstudieswithtrialsequentialanalysis
AT kumarhardeep comprehensiveanalysisofgenesassociatedwithmigraineintheindianpopulationametaanalysisofgeneticassociationstudieswithtrialsequentialanalysis
AT digrasanjeevk comprehensiveanalysisofgenesassociatedwithmigraineintheindianpopulationametaanalysisofgeneticassociationstudieswithtrialsequentialanalysis
AT kumarparvinder comprehensiveanalysisofgenesassociatedwithmigraineintheindianpopulationametaanalysisofgeneticassociationstudieswithtrialsequentialanalysis