ArticleFrontiers in physiology2020
Application of the Moran Model in Estimating Selection Coefficient of Mutated CSF3R Clones in the Evolution of Severe Congenital Neutropenia to Myeloid Neoplasia.
Article in Frontiers in physiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Mathematical modeling ofProceedings of the National Academy of Sciences of the United States of America · 2026Article
- Impact of Resistance on Therapeutic Design: A Moran Model of Cancer Growth.Bulletin of mathematical biology · 2024Article
- Superinfection exclusion: A viral strategy with short-term benefits and long-term drawbacks.PLoS computational biology · 2022Article
- Modes of Selection in Tumors as Reflected by Two Mathematical Models and Site Frequency Spectra.Frontiers in ecology and evolution · 2022Article
- Computational Reconstruction of Clonal Hierarchies From Bulk Sequencing Data of Acute Myeloid Leukemia Samples.Frontiers in physiology · 2021Article
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3 authors.
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Abstract
Bone marrow failure (BMF) syndromes, such as severe congenital neutropenia (SCN) are leukemia predisposition syndromes. We focus here on the transition from SCN to pre-leukemic myelodysplastic syndrome (MDS). Stochastic mathematical models have been conceived that attempt to explain the transition of SCN to MDS, in the most parsimonious way, using extensions of standard processes of population genetics and population dynamics, such as the branching and the Moran processes. We previously presented a hypothesis of the SCN to MDS transition, which involves directional selection and recurrent mutation, to explain the distribution of ages at onset of MDS or AML. Based on experimental and clinical data and a model of human hematopoiesis, a range of probable values of the selection coefficient
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