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Original Article
Uncovering Putative Causal Non-Coding RNAs in Acute and Chronic Myeloid Leukemia: A Genome-Wide Mendelian Randomization Study
Sunwoo Jung1orcid , Ji-Won Kim2,3orcid , Buhm Han1,4,5orcid

DOI: https://doi.org/10.4143/crt.2025.377 [Accepted]
Published online: June 25, 2025
1Interdisciplinary Program in Bioengineering, Seoul National University, Seoul, Korea
2Division of Hematology and Medical Oncology, Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
3Department of Genomic Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
4Department of Biomedical Sciences, BK21 Plus Biomedical Science Project, Seoul National University College of Medicine, Seoul, Korea
5Convergence Dementia Research Center, Seoul National University Medical Research Center, Seoul, Korea
Corresponding author:  Ji-Won Kim
Tel: 82-31-787-7084 
Email: jiwonkim@snubh.org
Buhm Han
Tel: 82-2-3668-7618 
Email: buhm.han@snu.ac.kr
Received: 3 April 2025   • Accepted: 24 June 2025
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Purpose
Although 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 Methods
We 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.
Results
Upregulated 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. 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.
Conclusion
This study provides evidence of causal relationships between ncRNAs and two ML subtypes, notably highlighting HCG22 and RP11-42I10.1 in AML and the GMDS-AS1 locus in CML.

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