Genomic prediction of relapse in recipients of allogeneic haematopoietic stem cell transplantation.

ABSTRACT: Allogeneic haematopoietic stem cell transplantation currently represents the primary potentially curative treatment for cancers of the blood and bone marrow. While relapse occurs in approximately 30% of patients, few risk-modifying genetic variants have been identified. The present study evaluates the predictive potential of patient genetics on relapse risk in a genome-wide manner. We studied 151 graft recipients with HLA-matched sibling donors by sequencing the whole-exome, active immunoregulatory regions, and the full MHC region. To assess the predictive capability and contributions of SNPs and INDELs, we employed machine learning and a feature selection approach in a cross-validation framework to discover the most informative variants while controlling against overfitting. Our results s

SUBMITTER: Ritari J 

PROVIDER: S-EPMC6326954 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature