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...

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Autores principales:	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
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/1395e2a4d71f41359ea4b5086c1ffbe6
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spelling	oai:doaj.org-article:1395e2a4d71f41359ea4b5086c1ffbe62021-12-02T18:50:44ZInteracting evolutionary pressures drive mutation dynamics and health outcomes in aging blood10.1038/s41467-021-25172-82041-1723https://doaj.org/article/1395e2a4d71f41359ea4b5086c1ffbe62021-08-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-25172-8https://doaj.org/toc/2041-1723Age-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.Kimberly SkeadArmande Ang HouleSagi AbelsonMawusse AgbessiVanessa BruatBoxi LinDavid SoaveLiran ShlushStephen WrightJohn DickQuaid MorrisPhilip AwadallaNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q 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 Interacting evolutionary pressures drive mutation dynamics and health outcomes in aging blood
description	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.
format	article
author	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
author_facet	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
author_sort	Kimberly Skead
title	Interacting evolutionary pressures drive mutation dynamics and health outcomes in aging blood
title_short	Interacting evolutionary pressures drive mutation dynamics and health outcomes in aging blood
title_full	Interacting evolutionary pressures drive mutation dynamics and health outcomes in aging blood
title_fullStr	Interacting evolutionary pressures drive mutation dynamics and health outcomes in aging blood
title_full_unstemmed	Interacting evolutionary pressures drive mutation dynamics and health outcomes in aging blood
title_sort	interacting evolutionary pressures drive mutation dynamics and health outcomes in aging blood
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/1395e2a4d71f41359ea4b5086c1ffbe6
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Interacting evolutionary pressures drive mutation dynamics and health outcomes in aging blood

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