Study

Pre clinical evolution of haematological malignancies

Study ID Alternative Stable ID Type
EGAS00001002964 Cancer Genomics

Study Description

Deep targeted sequencing of 291 peripheral blood samples taken 1-20 years prior diagnosis of a haematological malignancy alongside age- and sex-matched controls. Key objective is to distinguish indolent age-related clonal haematopoiesis from pre-cancer and to derive predictive models for early risk-stratification.

Study Datasets 3 datasets.

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Dataset ID Description Technology Samples
EGAD00001006424
Leukaemia and related blood cancers occur due to genetic changes that typically accumulate over many years. This study will employ targeted next-generation sequencing to retrace the preclinical evolution of several types of haematological malignancy. Investigating the progression of the earliest pre-malignant ancestral clones promises to offer valuable insights into early leukaemia evolution and therapeutic vulnerabilities of leukaemia stem cells.
Illumina HiSeq 2500,Illumina HiSeq 4000 48
EGAD00001008345
Using the chromium 3' expression assay, we generated an atlas of neuroblastoma and the human fetal adrenal gland. These data were complemented with whole genome sequencing of normal and tumour DNA from the neuroblastoma samples.
Illumina HiSeq 2500,Illumina HiSeq 4000,Illumina MiSeq,Illumina NovaSeq 6000 32
EGAD00001009005
Single cell transcriptomes, generated using chromium 10X 3' sequencing, for two tumour types (AT/RT, and Ewing's sarcoma). For each individual, tumour and normal whole genome sequencing was also obtained using Illumina short read sequencing to an average depth of 30X. These data were used to validate the accuracy of a method for identifying cancer cell transcriptomes based on the allelic shift produced by copy number changes.
HiSeq X Ten,Illumina HiSeq 2500,Illumina HiSeq 4000,Illumina NovaSeq 6000 15

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