Evidence map›Paper›PMID 40438964›Full record

SynthesisBiomarkers in medicine2025

Ethnicity modifies the association between microRNA single nucleotide polymorphisms and pediatric acute lymphoblastic leukemia risk: a meta-analysis.

Sharon Benita Antony, Julius Xavier Scott, Indhumathi Nagarthinam, Vinodhini Subramanian, Teena Koshy

Abstract readMeta-AnalysisReview
In one paragraph

Synthesis in Biomarkers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Sharon Benita AntonyDepartment of Human Genetics, Sri Ramachandra Institute of Higher Education and Research, Chennai, India.
Julius Xavier ScottDepartment of Pediatrics Oncology services, Sri Ramachandra Institute of Higher Education and Research, Chennai, India.
Indhumathi NagarthinamDepartment of Medical Genetics, Apollo Main Hospital, Chennai, India.
Vinodhini SubramanianDepartment of Human Genetics, Sri Ramachandra Institute of Higher Education and Research, Chennai, India.
Teena KoshyDepartment of Human Genetics, Sri Ramachandra Institute of Higher Education and Research, Chennai, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMicroRNA (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.

methodsArticles 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.

resultsBased 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.

conclusionOur results suggested that miRNA-SNPS can still be considered as a potential risk factor to be explored in more populations.

Indexed as

EthnicityGenetic Predisposition to DiseaseMicroRNAsPolymorphism, Single NucleotidePrecursor Cell Lymphoblastic Leukemia-LymphomaChildGene FrequencyHumansRisk FactorsMicroRNAsEthnicitygenetic modelsmeta-analysismetagenyomicroRNANOS scalepediatric acute lymphoblastic leukemiasingle nucleotide polymorphism

Identifiers

PMID40438964
PMCPMC12140483

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