| Literature DB >> 28811306 |
Ezgi Karaesmen1, Abbas A Rizvi1, Leah M Preus1, Philip L McCarthy2, Marcelo C Pasquini3, Kenan Onel4, Xiaochun Zhu3, Stephen Spellman5, Christopher A Haiman6, Daniel O Stram6, Loreall Pooler6, Xin Sheng6, Qianqian Zhu7, Li Yan7, Qian Liu7, Qiang Hu7, Amy Webb8, Guy Brock8, Alyssa I Clay-Gilmour9, Sebastiano Battaglia10, David Tritchler11, Song Liu7, Theresa Hahn2, Lara E Sucheston-Campbell1,12.
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.Entities:
Mesh:
Year: 2017 PMID: 28811306 PMCID: PMC5620418 DOI: 10.1182/blood-2017-05-784637
Source DB: PubMed Journal: Blood ISSN: 0006-4971 Impact factor: 22.113