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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
© Copyright © 2021 Wang, Clay-Gilmour, Karaesmen, Rizvi, Zhu, Yan, Preus, Liu, Wang, Griffiths, Stram, Pooler, Sheng, Haiman, Van Den Berg, Webb, Brock, Spellman, Pasquini, McCarthy, Allan, Stölzel, Onel, Hahn and Sucheston-Campbell.The role of common genetic variation in susceptibility to acute myeloid leukemia (AML), and myelodysplastic syndrome (MDS), a group of rare clonal hematologic disorders characterized by dysplastic hematopoiesis and high mortality, remains unclear. We performed AML and MDS genome-wide association studies (GWAS) in the DISCOVeRY-BMT cohorts (2,309 cases and 2,814 controls). Association analysis based on subsets (ASSET) was used to conduct a summary statistics SNP-based analysis of MDS and AML subtypes. For each AML and MDS case and control we used PrediXcan to estimate the component of gene expression determined by their genetic profile and correlate this imputed gene expression level with risk of developing disease in a transcriptome-wide association study (TWAS). ASSET identified an increased risk for de novo AML and MDS (OR = 1.38, 95% CI, 1.26-1.51, Pmeta = 2.8 × 10–12) in patients carrying the T allele at s12203592 in Interferon Regulatory Factor 4 (IRF4), a transcription factor which regulates myeloid and lymphoid hematopoietic differentiation. Our TWAS analyses showed increased IRF4 gene expression is associated with increased risk of de novo AML and MDS (OR = 3.90, 95% CI, 2.36-6.44, Pmeta = 1.0 × 10–7). The identification of IRF4 by both GWAS and TWAS contributes valuable insight on the role of genetic variation in AML and MDS susceptibility.
Author(s): Wang J, Clay-Gilmour AI, Karaesmen E, Rizvi A, Zhu Q, Yan L, Preus L, Liu S, Wang Y, Griffiths E, Stram DO, Pooler L, Sheng X, Haiman C, Van Den Berg D, Webb A, Brock G, Spellman S, Pasquini M, McCarthy P, Allan J, Stolzel F, Onel K, Hahn T, Sucheston-Campbell LE
Publication type: Article
Publication status: Published
Journal: Frontiers in Genetics
Online publication date: 17/06/2021
Acceptance date: 19/04/2021
Date deposited: 20/07/2021
ISSN (electronic): 1664-8021
Publisher: Frontiers Media S.A.
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