Biomarkers in medicine · 2025
Ethnicity modifies the association between microRNA single nucleotide polymorphisms and pediatric acute lymphoblastic leukemia risk: a meta-analysis.
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Antony Sharon Benita, Scott Julius Xavier, Nagarthinam Indhumathi, Subramanian Vinodhini, Koshy Teena
Аннотация
INTRODUCTION: MicroRNA (miRNA) single nucleotide polymorphisms (miRNA-SNPs) have been associated with pediatric acute lymphoblastic leukemia (ALL). However, since the results of these individual studies have been inconsistent, we performed a meta-analysis to help establish a statistical significance for the association between miRNA-SNPs and pediatric ALL risk. We also analyzed whether they confer susceptibility across country-specific studies by using different genetic models.
METHODS: Articles published from 2001 to 2023 were collected from PubMed and Google Scholar databases. Through MetaGenyo, the association between miRNA- SNPs and pediatric ALL risk was calculated by pooled odds ratio [ORs] and 95% CI. A subgroup analysis of pooled ORs in country-specific studies was also performed.
RESULTS: Based on the inclusion and exclusion criteria, 14 studies were analyzed to extract data on miR146 rs2910164, miR-196a2 rs11614913, miR-612 rs12803915 and mir-499 rs3746444. While the pooled data analysis did not reveal any association, a subgroup analysis demonstrated country-specific differences in allele frequencies of all the four miRNAs in various genetic models, implying ethnicity-based risk.
CONCLUSION: Our results suggested that miRNA-SNPS can still be considered as a potential risk factor to be explored in more populations.
METHODS: Articles published from 2001 to 2023 were collected from PubMed and Google Scholar databases. Through MetaGenyo, the association between miRNA- SNPs and pediatric ALL risk was calculated by pooled odds ratio [ORs] and 95% CI. A subgroup analysis of pooled ORs in country-specific studies was also performed.
RESULTS: Based on the inclusion and exclusion criteria, 14 studies were analyzed to extract data on miR146 rs2910164, miR-196a2 rs11614913, miR-612 rs12803915 and mir-499 rs3746444. While the pooled data analysis did not reveal any association, a subgroup analysis demonstrated country-specific differences in allele frequencies of all the four miRNAs in various genetic models, implying ethnicity-based risk.
CONCLUSION: Our results suggested that miRNA-SNPS can still be considered as a potential risk factor to be explored in more populations.