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Replication and validation of genetic polymorphisms associated with survival after allogeneic blood or marrow transplant

  • Ezgi Karaesmen
  • , Abbas A. Rizvi
  • , Leah M. Preus
  • , Philip L. McCarthy
  • , Marcelo C. Pasquini
  • , Kenan Onel
  • , Xiaochun Zhu
  • , Stephen Spellman
  • , Christopher A. Haiman
  • , Daniel O. Stram
  • , Loreall Pooler
  • , Xin Sheng
  • , Qianqian Zhu
  • , Li Yan
  • , Qian Liu
  • , Qiang Hu
  • , Amy Webb
  • , Guy Brock
  • , Alyssa I. Clay-Gilmour
  • , Sebastiano Battaglia
  • David Tritchler, Song Liu, Theresa Hahn, Lara E. Sucheston-Campbell
  • Ohio State University
  • Roswell Park Cancer Institute
  • Medical College of Wisconsin
  • Northwell Health System
  • National Marrow Donor Program
  • University of Southern California
  • Mayo Clinic Rochester, MN
  • SUNY Buffalo

Research output: Contribution to journalArticlepeer-review

45 Scopus citations

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.

Original languageEnglish
Pages (from-to)1585-1596
Number of pages12
JournalBlood
Volume130
Issue number13
DOIs
StatePublished - Sep 28 2017

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