Background: Research studies exploring the determinants of disease require sufficient statistical power to detect meaningful effects. Sample size is often increased through centralized pooling of disparately located datasets, though ethical, privacy and data ownership issues can often hamper this process. Methods that facilitate the sharing of research data that are sympathetic with these issues and which allow flexible and detailed statistical analyses are therefore in critical need. We have created a software platform for the Virtual Pooling and Analysis of Research data (ViPAR), which employs free and open source methods to provide researchers with a web-based platform to analyse datasets housed in disparate locations. Methods: Database federation permits controlled access to remotely located datasets from a central location. The Secure Shell protocol allows data to be securely exchanged between devices over an insecure network. ViPAR combines these free technologies into a solution that facilitates ‘virtual pooling’ where data can be temporarily pooled into computer memory and made available for analysis without the need for permanent central storage. Results: Within the ViPAR infrastructure, remote sites manage their own harmonized research dataset in a database hosted at their site, while a central server hosts the data federation component and a secure analysis portal. When an analysis is initiated, requested data are retrieved from each remote site and virtually pooled at the central site. The data are then analysed by statistical software and, on completion, results of the analysis are returned to the user and the virtually pooled data are removed from memory. Conclusions: ViPAR is a secure, flexible and powerful analysis platform built on open source technology that is currently in use by large international consortia, and is made publicly available at [ http://bioinformatics.childhealthresearch.org.au/software/vipar/ ].

BackgroundMixed lineage leukemia/Histone-lysine N-methyltransferase 2A gene rearrangements occur in 80% of infant acute lymphoblastic leukemia, but the role of cooperating events is unknown. While infant leukemias typically carry few somatic lesions, we identified a case with over 100 somatic point mutations per megabase and here report unique genomic-features of this case.ResultsThe patient presented at 82 days of age, one of the earliest manifestations of cancer hypermutation recorded. The transcriptional profile showed global similarities to canonical cases. Coding lesions were predominantly clonal and almost entirely targeting alleles reported in human genetic variation databases with a notable exception in the mismatch repair gene, MSH2. There were no rare germline alleles or somatic mutations affecting proof-reading polymerase genes POLE or POLD1, however there was a predicted damaging mutation in the error prone replicative polymerase, POLK. The patient’s diagnostic leukemia transcriptome was depleted of rare and low-frequency germline alleles due to loss-of-heterozygosity, while somatic point mutations targeted low-frequency and common human alleles in proportions that offset this discrepancy. Somatic signatures of ultra-mutations were highly correlated with germline single nucleotide polymorphic sites indicating a common role for 5-methylcytosine deamination, DNA mismatch repair and DNA adducts.ConclusionsThese data suggest similar molecular processes shaping population-scale human genome variation also underlies the rapid evolution of an infant ultra-mutated leukemia.