Interacting evolutionary pressures drive mutation dynamics and health outcomes in aging blood

Age-related clonal hematopoiesis is associated with risk for diseases like acute myeloid leukemia (AML), yet it is unclear why some individuals do not progress despite having AML driver mutations. Here, the authors use deep learning and population genetics models to investigate how the interplay of...

Description complète

Enregistré dans:
Détails bibliographiques
Auteurs principaux: Kimberly Skead, Armande Ang Houle, Sagi Abelson, Mawusse Agbessi, Vanessa Bruat, Boxi Lin, David Soave, Liran Shlush, Stephen Wright, John Dick, Quaid Morris, Philip Awadalla
Format: article
Langue:EN
Publié: Nature Portfolio 2021
Sujets:
Q
Accès en ligne:https://doaj.org/article/1395e2a4d71f41359ea4b5086c1ffbe6
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
Description
Résumé:Age-related clonal hematopoiesis is associated with risk for diseases like acute myeloid leukemia (AML), yet it is unclear why some individuals do not progress despite having AML driver mutations. Here, the authors use deep learning and population genetics models to investigate how the interplay of positive and negative selection influences AML progression.