Concordance of copy number alterations using a common analytic pipeline for genome-wide analysis of Illumina and Affymetrix genotyping data: a report from the Children's Oncology Group

Genomic architecture and treatment outcome in pediatric acute myeloid leukemia: a Children's Oncology Group report

Childhood acute myeloid leukemia (AML) is frequently characterized by chromosomal instability. Approximately 50% of patients have disease relapse, and novel prognostic markers are needed to improve risk stratification. We performed genome-wide genotyping in 446 pediatric patients with de novo AML enrolled in Children's Oncology Group (COG) studies AAML0531, AAML03P1, and CCG2961. Affymetrix and Illumina Omni 2.5 platforms were used to evaluate copy-number alterations (CNAs) and determine their associations with treatment outcome. Data from Affymetrix and Illumina studies were jointly analyzed with ASCAT and GISTIC software. An average of 1.14 somatically acquired CNAs per patient were observed. Novel reoccurring altered genomic regions were identified, and the presence of CNAs was found to be associated with decreased 3-year overall survival (OS), event-free survival (EFS), and relapse risk from the end of induction 1 (hazard ratio [HR], 1.7; 95% confidence interval [CI], 1.2-2.4; HR, 1.4; 95% CI, 1.0-1.8; and HR, 1.4; 95% CI, 1.0-2.0, respectively). Analyses by risk group demonstrated decreased OS and EFS in the standard-risk group only (HR, 1.9; 95% CI, 1.1-3.3 and HR, 1.7; 95% CI, 1.1-2.6, respectively). Additional studies are required to test the prognostic significance of CNA presence in disease relapse in patients with AML. COG studies AAML0531, AAML03P1, and CCG2961 were registered at www.clinicaltrials.gov as #NCT01407757, #NCT00070174, and #NCT00003790, respectively.

Quality assurance for multiplexed assays - how can it be achieved?

Multiplexed assays are now a common form of analysis in routine clinical and research laboratories. Assuring the quality of this type of complex, massively-parallel testing poses challenges not encountered in the traditional single-plex assay. A range of quality assurance measures is implemented at different stages in a multiplex assay, beginning in the manufacturing process, and the ensuing analytical and data interpretation stages. This article explores quality issues and the quality assurance measures that have been devised for multiplex assays ranging from simple two-plex assays to the types of assays that involve simultaneous testing on millions of test sites on a single analytical device.

Genetic Techniques in the Evaluation of Short Stature

Normal growth is a complex dynamic process dependent on the coordination of multiple factors including genetics, nutrition and hormones that are all working in balance. This chapter will review selected features of commonly utilized genetic techniques such as chromosomal analysis, microarray analysis, targeted gene screening and whole exome sequencing that are being used to identify genes influencing growth. As genetic technologies continue to improve and become more accessible many of these techniques will help to provide a better understanding of mechanisms underlying abnormal growth and will eventually lead to novel management approaches for abnormal growth.