Evidence map›Paper›PMID 40575950›Full record

ArticleCancer research and treatment2026

Uncovering Putative Causal Non-coding RNAs in Acute and Chronic Myeloid Leukemia: A Genome-Wide Mendelian Randomization Study.

Sunwoo Jung, Ji-Won Kim, Buhm Han

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Article in Cancer research and treatment, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Sunwoo JungInterdisciplinary Program in Bioengineering, Seoul National University, Seoul, Korea.
Ji-Won KimDivision of Hematology and Medical Oncology, Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea.
Buhm HanInterdisciplinary Program in Bioengineering, Seoul National University, Seoul, Korea.

Funding

Ministry of Science, and ICTNational Research Foundation of Korea 2022R1A2B5B02001897Seoul National UniversitySeoul National University Bundang Hospital 02-2020-017
6 · The paper itself

Abstract

purposeAlthough non-coding RNAs (ncRNAs) have often been implicated in various cancers, their causal roles in acute (AML) and chronic myeloid leukemia (CML) remain unclear. Here, we conducted a genome-wide two-sample Mendelian randomization (MR) study to investigate the causal effects of a comprehensive set of ncRNAs on AML and CML. MATERIALS AND

methodsWe used summary statistics of blood expression quantitative trait loci (eQTL) from the eQTLGen consortium (31,684 European participants) as exposure data. Genome-wide association study summary statistics from the FinnGen study (AML, 322 cases; CML, 303 cases) and UK Biobank (UKBB) (AML, 318 cases; CML, 153 cases) served as outcome data. The generalized inverse-variance weighted (GIVW) method was used as the primary MR method. Two additional MR methods (generalized MR-Egger and weighted median), sensitivity analyses, and the HEIDI test were further employed to support our findings.

resultsUpregulated HCG22 and RP11-42I10.1 were causally linked to increased AML risk, while the GMDS-AS1 locus was positively associated with increased CML risk. We highlight these ncRNAs for their consistent significance across all three MR methods, with no evidence of bias in sensitivity analyses (F-test, Cochran's Q-test, MR-Egger intercept, MR-PRESSO global test) and no indication of confounding from the HEIDI test. These findings were primarily discovered in FinnGen (FDRGIVW < 0.05), their significance was validated in UKBB (pGIVW < 0.05). Upon validation with an independent linkage disequilibrium reference panel, they remained robust.

conclusionThis study provides evidence of causal relationships between ncRNAs and the subtypes of AML and CML, notably highlighting HCG22 and RP11-42I10.1 in AML and the GMDS-AS1 locus in CML.

Indexed as

Leukemia, Myelogenous, Chronic, BCR-ABL PositiveLeukemia, Myeloid, AcuteRNA, UntranslatedGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMendelian Randomization AnalysisPolymorphism, Single NucleotideQuantitative Trait LociRNA, UntranslatedAcute myeloid leukemiaChronic myeloid leukemiaGenomicsHematologyMendelian randomizationNon-coding RNAs

Identifiers

PMID40575950
PMCPMC13102300

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