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Genome-Wide Association Study of Relapse of Childhood Acute Lymphoblastic Leukemia
Genome-Wide Association Study of Relapse of Childhood Acute Lymphoblastic Leukemia
Data Resource:
dbGaP
Point of Contact:
Mary V. Relling, PharmD
,
mary.relling@stjude.org
Project
About This Dataset
Using risk-directed therapy for childhood acute lymphoblastic leukemia (ALL), outcome has improved dramatically in the last 40 years. However, a substantial portion of patients experience relapse, many of whom have no known risk factors. Taking a genome-wide approach, we sought to evaluate the relationships between germline SNP genotypes and the risk of relapse in 2,535 children with newly diagnosed ALL after adjusting for genetic ancestry and treatment regimen. We examine prognostic value of selected SNPs in the context of known relapse risk factors (molecular subtypes, minimal residual disease, age and leukocyte count at diagnosis). Associations of relapse-related SNPs with pharmacokinetic and pharmacodynamics of antileukemic drugs offer plausible mechanism by which they are linked to treatment outcome. Finally, we aim to identify SNPs that are related to both genetic ancestry and relapse which are likely to contribute to racial disparities in ALL survival.
Core Data Elements
Number of Cases
2,487
Case Sex
Female (1,139); Male (1,348)
Case Age At Diagnosis
Pediatric and Young Adult (<40 years) (2,487)
Case Race
Asian (50); Black or African American (171); White (1,586); Not Reported (680)
Case Ethnicity
Hispanic or Latino (462); Not Hispanic or Latino (2,025)
Case Disease Diagnosis
Acute Lymphoblastic Leukemia (2,487)
Case Tumor Site
Peripheral Blood (2,487)
Additional Data Elements
DBGAP STUDY IDENTIFIER
phs000638
Grant Information
P30CA021765
Cancer Center Support Grant (CCSG)
R01CA142665
Glucocorticoids in Lymphoblastic Leukemia
R21CA158568
PDE4B and pharmacoethnicity of childhood leukemia
RC4CA156449
Pharmacogenomics of Racial Disparities in Childhood Leukemia Outcomes
Published In
https://doi.org/10.1038/ng.763
https://doi.org/10.1182/blood-2012-07-440107
https://doi.org/10.1182/blood-2012-07-440107;https://doi.org/10.1038/ng.763
Charts
case sex
Male (1,348);
Female (1,139)
1,348
Male