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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...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory Press
2022
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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. |
format | Online Article Text |
id | pubmed-9104707 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Cold Spring Harbor Laboratory Press |
record_format | MEDLINE/PubMed |
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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