Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Genome-wide association analyses identify variants in IRF4 associated with acute myeloid leukemia and myelodysplastic syndrome susceptibility

Junke Wang, Alyssa I. Clay-Gilmour, Ezgi Karaesmen, Abbas Rizvi, Qianqian Zhu, Li Yan, Leah Preus, Song Liu, Yiwen Wang, Elizabeth Griffiths, Daniel O. Stram, Loreall Pooler, Xin Sheng, Christopher Haiman, David Van Den Berg, Amy Webb, Guy Brock, Stephen Spellman, Marcelo Pasquini, Philip McCarthy, James Allan, Friedrich Stölzel, Kenan Onel, Theresa Hahn, Lara E. Sucheston-Campbell
doi: https://doi.org/10.1101/773952
Junke Wang
1College of Pharmacy, The Ohio State University
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Alyssa I. Clay-Gilmour
2Department of Epidemiology, Mayo Clinic
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Ezgi Karaesmen
1College of Pharmacy, The Ohio State University
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Abbas Rizvi
1College of Pharmacy, The Ohio State University
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Qianqian Zhu
3Department of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Li Yan
3Department of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Leah Preus
1College of Pharmacy, The Ohio State University
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Song Liu
3Department of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Yiwen Wang
1College of Pharmacy, The Ohio State University
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Elizabeth Griffiths
4Department of Medicine, Roswell Park Comprehensive Cancer Center
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Daniel O. Stram
5Department of Preventive Medicine, University of Southern California
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Loreall Pooler
5Department of Preventive Medicine, University of Southern California
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Xin Sheng
5Department of Preventive Medicine, University of Southern California
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Christopher Haiman
5Department of Preventive Medicine, University of Southern California
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
David Van Den Berg
5Department of Preventive Medicine, University of Southern California
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Amy Webb
6Department on Biomedical Informatics, The Ohio State University
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Guy Brock
6Department on Biomedical Informatics, The Ohio State University
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Stephen Spellman
7Center for International Blood and Marrow Transplant Research, Minneapolis Campus
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Marcelo Pasquini
8Center for International Blood and Marrow Transplant Research, Medical College of Wisconsin
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Philip McCarthy
9Department of Medicine, Roswell Park Comprehensive Cancer Center
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
James Allan
10Northern Institute for Cancer Research, Newcastle University, UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Friedrich Stölzel
11Department of Internal Medicine I, University Hospital Carl Gustav Carus Dresden, Technical University Dresden
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Kenan Onel
12Department of Pediatrics, Mount Sinai
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Theresa Hahn
4Department of Medicine, Roswell Park Comprehensive Cancer Center
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Lara E. Sucheston-Campbell
1College of Pharmacy, The Ohio State University
13College of Veterinary Medicine, The Ohio State University
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: sucheston-campbell.1@osu.edu
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

ABSTRACT

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 (2309 cases and 2814 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 rs12203592 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.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • ↵¥ Joint first and joint last authors

  • Conflicts of interest: None

  • We updated Hi-C data and heritability estimates for AML and MDS were added

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
Back to top
PreviousNext
Posted April 21, 2020.
Download PDF
Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Genome-wide association analyses identify variants in IRF4 associated with acute myeloid leukemia and myelodysplastic syndrome susceptibility
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Genome-wide association analyses identify variants in IRF4 associated with acute myeloid leukemia and myelodysplastic syndrome susceptibility
Junke Wang, Alyssa I. Clay-Gilmour, Ezgi Karaesmen, Abbas Rizvi, Qianqian Zhu, Li Yan, Leah Preus, Song Liu, Yiwen Wang, Elizabeth Griffiths, Daniel O. Stram, Loreall Pooler, Xin Sheng, Christopher Haiman, David Van Den Berg, Amy Webb, Guy Brock, Stephen Spellman, Marcelo Pasquini, Philip McCarthy, James Allan, Friedrich Stölzel, Kenan Onel, Theresa Hahn, Lara E. Sucheston-Campbell
bioRxiv 773952; doi: https://doi.org/10.1101/773952
Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
Citation Tools
Genome-wide association analyses identify variants in IRF4 associated with acute myeloid leukemia and myelodysplastic syndrome susceptibility
Junke Wang, Alyssa I. Clay-Gilmour, Ezgi Karaesmen, Abbas Rizvi, Qianqian Zhu, Li Yan, Leah Preus, Song Liu, Yiwen Wang, Elizabeth Griffiths, Daniel O. Stram, Loreall Pooler, Xin Sheng, Christopher Haiman, David Van Den Berg, Amy Webb, Guy Brock, Stephen Spellman, Marcelo Pasquini, Philip McCarthy, James Allan, Friedrich Stölzel, Kenan Onel, Theresa Hahn, Lara E. Sucheston-Campbell
bioRxiv 773952; doi: https://doi.org/10.1101/773952

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Genomics
Subject Areas
All Articles
  • Animal Behavior and Cognition (2509)
  • Biochemistry (4954)
  • Bioengineering (3456)
  • Bioinformatics (15136)
  • Biophysics (6862)
  • Cancer Biology (5361)
  • Cell Biology (7692)
  • Clinical Trials (138)
  • Developmental Biology (4507)
  • Ecology (7113)
  • Epidemiology (2059)
  • Evolutionary Biology (10188)
  • Genetics (7493)
  • Genomics (9754)
  • Immunology (4807)
  • Microbiology (13151)
  • Molecular Biology (5111)
  • Neuroscience (29303)
  • Paleontology (203)
  • Pathology (833)
  • Pharmacology and Toxicology (1457)
  • Physiology (2119)
  • Plant Biology (4718)
  • Scientific Communication and Education (1004)
  • Synthetic Biology (1335)
  • Systems Biology (3995)
  • Zoology (766)