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Genome-Wide Association Analyses Identify Variants in IRF4 Associated With Acute Myeloid Leukemia and Myelodysplastic Syndrome Susceptibility.
Wang, Junke; Clay-Gilmour, Alyssa I; Karaesmen, Ezgi; Rizvi, Abbas; Zhu, Qianqian; Yan, Li; Preus, Leah; Liu, Song; Wang, Yiwen; Griffiths, Elizabeth; Stram, Daniel O; Pooler, Loreall; Sheng, Xin; Haiman, Christopher; Van Den Berg, David; Webb, Amy; Brock, Guy; Spellman, Stephen; Pasquini, Marcelo; McCarthy, Philip; Allan, James; Stölzel, Friedrich; Onel, Kenan; Hahn, Theresa; Sucheston-Campbell, Lara E.
Afiliación
  • Wang J; College of Pharmacy, The Ohio State University, Columbus, OH, United States.
  • Clay-Gilmour AI; Department of Epidemiology, Mayo Clinic, Rochester, MN, United States.
  • Karaesmen E; Department of Epidemiology & Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States.
  • Rizvi A; College of Pharmacy, The Ohio State University, Columbus, OH, United States.
  • Zhu Q; College of Pharmacy, The Ohio State University, Columbus, OH, United States.
  • Yan L; Department of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY, United States.
  • Preus L; Department of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY, United States.
  • Liu S; College of Pharmacy, The Ohio State University, Columbus, OH, United States.
  • Wang Y; Department of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY, United States.
  • Griffiths E; College of Pharmacy, The Ohio State University, Columbus, OH, United States.
  • Stram DO; Department of Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY, United States.
  • Pooler L; Department of Preventive Medicine, University of Southern California, Los Angeles, CA, United States.
  • Sheng X; Department of Preventive Medicine, University of Southern California, Los Angeles, CA, United States.
  • Haiman C; Department of Preventive Medicine, University of Southern California, Los Angeles, CA, United States.
  • Van Den Berg D; Department of Preventive Medicine, University of Southern California, Los Angeles, CA, United States.
  • Webb A; Department of Preventive Medicine, University of Southern California, Los Angeles, CA, United States.
  • Brock G; Department on Biomedical Informatics, The Ohio State University, Columbus, OH, United States.
  • Spellman S; Department on Biomedical Informatics, The Ohio State University, Columbus, OH, United States.
  • Pasquini M; Center for International Blood and Marrow Transplant Research, Minneapolis, MN, United States.
  • McCarthy P; Center for International Blood and Marrow Transplant Research, Medical College of Wisconsin, Milwaukee, WI, United States.
  • Allan J; Department of Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY, United States.
  • Stölzel F; Northern Institute for Cancer Research, Newcastle University, Newcastle upon Tyne, United Kingdom.
  • Onel K; Department of Internal Medicine I, University Hospital Carl Gustav Carus Dresden, Technical University Dresden, Dresden, Germany.
  • Hahn T; Department of Pediatrics, Mount Sinai Medical Center, Miami Beach, NY, United States.
  • Sucheston-Campbell LE; Department of Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY, United States.
Front Genet ; 12: 554948, 2021.
Article en En | MEDLINE | ID: mdl-34220922
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 (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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Genet Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Genet Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos