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Replication and validation of genetic polymorphisms associated with survival after allogeneic blood or marrow transplant.
Karaesmen, Ezgi; Rizvi, Abbas A; Preus, Leah M; McCarthy, Philip L; Pasquini, Marcelo C; Onel, Kenan; Zhu, Xiaochun; Spellman, Stephen; Haiman, Christopher A; Stram, Daniel O; Pooler, Loreall; Sheng, Xin; Zhu, Qianqian; Yan, Li; Liu, Qian; Hu, Qiang; Webb, Amy; Brock, Guy; Clay-Gilmour, Alyssa I; Battaglia, Sebastiano; Tritchler, David; Liu, Song; Hahn, Theresa; Sucheston-Campbell, Lara E.
  • Karaesmen E; College of Pharmacy, The Ohio State University, Columbus, OH.
  • Rizvi AA; College of Pharmacy, The Ohio State University, Columbus, OH.
  • Preus LM; College of Pharmacy, The Ohio State University, Columbus, OH.
  • McCarthy PL; Department of Medicine, Roswell Park Cancer Institute, Buffalo, NY.
  • Pasquini MC; Center for International Blood and Marrow Transplant Research, Medical College of Wisconsin, Milwaukee, WI.
  • Onel K; Department of Pediatrics, Northwell Health, Manhasset, NY.
  • Zhu X; Center for International Blood and Marrow Transplant Research, Medical College of Wisconsin, Milwaukee, WI.
  • Spellman S; Center for International Blood and Marrow Transplant Research, National Marrow Donor Program, Minneapolis, MN.
  • Haiman CA; Preventive Medicine, University of Southern California, Los Angeles, CA.
  • Stram DO; Preventive Medicine, University of Southern California, Los Angeles, CA.
  • Pooler L; Preventive Medicine, University of Southern California, Los Angeles, CA.
  • Sheng X; Preventive Medicine, University of Southern California, Los Angeles, CA.
  • Zhu Q; Biostatistics and Bioinformatics, Roswell Park Cancer Institute, Buffalo, NY.
  • Yan L; Biostatistics and Bioinformatics, Roswell Park Cancer Institute, Buffalo, NY.
  • Liu Q; Biostatistics and Bioinformatics, Roswell Park Cancer Institute, Buffalo, NY.
  • Hu Q; Biostatistics and Bioinformatics, Roswell Park Cancer Institute, Buffalo, NY.
  • Webb A; Biomedical Informatics, The Ohio State University, Columbus, OH.
  • Brock G; Biomedical Informatics, The Ohio State University, Columbus, OH.
  • Clay-Gilmour AI; Cancer Genetic Epidemiology, Division of Epidemiology, The Mayo Clinic, Rochester, MN.
  • Battaglia S; Center for Immunotherapy, Roswell Park Cancer Institute, Buffalo, NY.
  • Tritchler D; Biostatistics, State University of New York at Buffalo, Buffalo, NY; and.
  • Liu S; Biostatistics and Bioinformatics, Roswell Park Cancer Institute, Buffalo, NY.
  • Hahn T; Department of Medicine, Roswell Park Cancer Institute, Buffalo, NY.
  • Sucheston-Campbell LE; College of Pharmacy, The Ohio State University, Columbus, OH.
Blood ; 130(13): 1585-1596, 2017 09 28.
Article en En | MEDLINE | ID: mdl-28811306
ABSTRACT
Multiple candidate gene-association studies of non-HLA single-nucleotide polymorphisms (SNPs) and outcomes after blood or marrow transplant (BMT) have been conducted. We identified 70 publications reporting 45 SNPs in 36 genes significantly associated with disease-related mortality, progression-free survival, transplant-related mortality, and/or overall survival after BMT. Replication and validation of these SNP associations were performed using DISCOVeRY-BMT (Determining the Influence of Susceptibility COnveying Variants Related to one-Year mortality after BMT), a well-powered genome-wide association study consisting of 2 cohorts, totaling 2888 BMT recipients with acute myeloid leukemia, acute lymphoblastic leukemia, or myelodysplastic syndrome, and their HLA-matched unrelated donors, reported to the Center for International Blood and Marrow Transplant Research. Gene-based tests were used to assess the aggregate effect of SNPs on outcome. None of the previously reported significant SNPs replicated at P < .05 in DISCOVeRY-BMT. Validation analyses showed association with one previously reported donor SNP at P < .05 and survival; more associations would be anticipated by chance alone. No gene-based tests were significant at P < .05. Functional annotation with publicly available data shows these candidate SNPs most likely do not have biochemical function; only 13% of candidate SNPs correlate with gene expression or are predicted to impact transcription factor binding. Of these, half do not impact the candidate gene of interest; the other half correlate with expression of multiple genes. These findings emphasize the peril of pursing candidate approaches and the importance of adequately powered tests of unbiased genome-wide associations with BMT clinical outcomes given the ultimate goal of improving patient outcomes.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Trasplante de Médula Ósea / Supervivencia sin Enfermedad / Polimorfismo de Nucleótido Simple / Trasplante de Células Madre / Estudios de Validación como Asunto / Estudio de Asociación del Genoma Completo Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2017 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Trasplante de Médula Ósea / Supervivencia sin Enfermedad / Polimorfismo de Nucleótido Simple / Trasplante de Células Madre / Estudios de Validación como Asunto / Estudio de Asociación del Genoma Completo Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2017 Tipo del documento: Article