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Progression to AML is predictable and distinct from age related clonal hematopoiesis

To examine the occurrence of somatic mutations prior to the development of acute myeloid leukemia, we undertook deep ECS (estimated limit of detection 1 mutation in 2500 cells) of 261 AML associated genes in 96 pre-AML cases and 420 age and gender-matched healthy controls of an average of 3853 unique DNA molecules covering each of the 1.19M bases spanning the target gene panel. The findings suggest that the development of clonal hematopoiesis and accumulation of somatic mutations is distinct and accelerated in pre-AML cases compared to healthy individuals

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID Description Technology Samples
EGAD00001003583 516
Publications Citations
Prediction of acute myeloid leukaemia risk in healthy individuals.
Nature 559: 2018 400-404
Integration of intra-sample contextual error modeling for improved detection of somatic mutations from deep sequencing.
Sci Adv 6: 2020 eabe3722
Interacting evolutionary pressures drive mutation dynamics and health outcomes in aging blood.
Nat Commun 12: 2021 4921