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A general calculus of fitness landscapes finds genes under selection in cancers

Genetic variants drive the evolution of traits and diseases. We previously modeled these variants as small displacements in fitness landscapes and estimated their functional impact by differentiating the evolutionary relationship between genotype and phenotype. Conversely, here we integrate these de...

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Autores principales: Hsu, Teng-Kuei, Asmussen, Jennifer, Koire, Amanda, Choi, Byung-Kwon, Gadhikar, Mayur A., Huh, Eunna, Lin, Chih-Hsu, Konecki, Daniel M., Kim, Young Won, Pickering, Curtis R., Kimmel, Marek, Donehower, Lawrence A., Frederick, Mitchell J., Myers, Jeffrey N., Katsonis, Panagiotis, Lichtarge, Olivier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9104707/
https://www.ncbi.nlm.nih.gov/pubmed/35301263
http://dx.doi.org/10.1101/gr.275811.121
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author Hsu, Teng-Kuei
Asmussen, Jennifer
Koire, Amanda
Choi, Byung-Kwon
Gadhikar, Mayur A.
Huh, Eunna
Lin, Chih-Hsu
Konecki, Daniel M.
Kim, Young Won
Pickering, Curtis R.
Kimmel, Marek
Donehower, Lawrence A.
Frederick, Mitchell J.
Myers, Jeffrey N.
Katsonis, Panagiotis
Lichtarge, Olivier
author_facet Hsu, Teng-Kuei
Asmussen, Jennifer
Koire, Amanda
Choi, Byung-Kwon
Gadhikar, Mayur A.
Huh, Eunna
Lin, Chih-Hsu
Konecki, Daniel M.
Kim, Young Won
Pickering, Curtis R.
Kimmel, Marek
Donehower, Lawrence A.
Frederick, Mitchell J.
Myers, Jeffrey N.
Katsonis, Panagiotis
Lichtarge, Olivier
author_sort Hsu, Teng-Kuei
collection PubMed
description Genetic variants drive the evolution of traits and diseases. We previously modeled these variants as small displacements in fitness landscapes and estimated their functional impact by differentiating the evolutionary relationship between genotype and phenotype. Conversely, here we integrate these derivatives to identify genes steering specific traits. Over cancer cohorts, integration identified 460 likely tumor-driving genes. Many have literature and experimental support but had eluded prior genomic searches for positive selection in tumors. Beyond providing cancer insights, these results introduce a general calculus of evolution to quantify the genotype–phenotype relationship and discover genes associated with complex traits and diseases.
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spelling pubmed-91047072022-05-27 A general calculus of fitness landscapes finds genes under selection in cancers Hsu, Teng-Kuei Asmussen, Jennifer Koire, Amanda Choi, Byung-Kwon Gadhikar, Mayur A. Huh, Eunna Lin, Chih-Hsu Konecki, Daniel M. Kim, Young Won Pickering, Curtis R. Kimmel, Marek Donehower, Lawrence A. Frederick, Mitchell J. Myers, Jeffrey N. Katsonis, Panagiotis Lichtarge, Olivier Genome Res Method Genetic variants drive the evolution of traits and diseases. We previously modeled these variants as small displacements in fitness landscapes and estimated their functional impact by differentiating the evolutionary relationship between genotype and phenotype. Conversely, here we integrate these derivatives to identify genes steering specific traits. Over cancer cohorts, integration identified 460 likely tumor-driving genes. Many have literature and experimental support but had eluded prior genomic searches for positive selection in tumors. Beyond providing cancer insights, these results introduce a general calculus of evolution to quantify the genotype–phenotype relationship and discover genes associated with complex traits and diseases. Cold Spring Harbor Laboratory Press 2022-05 /pmc/articles/PMC9104707/ /pubmed/35301263 http://dx.doi.org/10.1101/gr.275811.121 Text en © 2022 Hsu et al.; Published by Cold Spring Harbor Laboratory Press https://creativecommons.org/licenses/by-nc/4.0/This article, published in Genome Research, is available under a Creative Commons License (Attribution-NonCommercial 4.0 International), as described at http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Method
Hsu, Teng-Kuei
Asmussen, Jennifer
Koire, Amanda
Choi, Byung-Kwon
Gadhikar, Mayur A.
Huh, Eunna
Lin, Chih-Hsu
Konecki, Daniel M.
Kim, Young Won
Pickering, Curtis R.
Kimmel, Marek
Donehower, Lawrence A.
Frederick, Mitchell J.
Myers, Jeffrey N.
Katsonis, Panagiotis
Lichtarge, Olivier
A general calculus of fitness landscapes finds genes under selection in cancers
title A general calculus of fitness landscapes finds genes under selection in cancers
title_full A general calculus of fitness landscapes finds genes under selection in cancers
title_fullStr A general calculus of fitness landscapes finds genes under selection in cancers
title_full_unstemmed A general calculus of fitness landscapes finds genes under selection in cancers
title_short A general calculus of fitness landscapes finds genes under selection in cancers
title_sort general calculus of fitness landscapes finds genes under selection in cancers
topic Method
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9104707/
https://www.ncbi.nlm.nih.gov/pubmed/35301263
http://dx.doi.org/10.1101/gr.275811.121
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