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Global analysis of suppressor mutations that rescue human genetic defects

BACKGROUND: Genetic suppression occurs when the deleterious effects of a primary “query” mutation, such as a disease-causing mutation, are rescued by a suppressor mutation elsewhere in the genome. METHODS: To capture existing knowledge on suppression relationships between human genes, we examined 2,...

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Autores principales: Ünlü, Betül, Pons, Carles, Ho, Uyen Linh, Batté, Amandine, Aloy, Patrick, van Leeuwen, Jolanda
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10568808/
https://www.ncbi.nlm.nih.gov/pubmed/37821946
http://dx.doi.org/10.1186/s13073-023-01232-0
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author Ünlü, Betül
Pons, Carles
Ho, Uyen Linh
Batté, Amandine
Aloy, Patrick
van Leeuwen, Jolanda
author_facet Ünlü, Betül
Pons, Carles
Ho, Uyen Linh
Batté, Amandine
Aloy, Patrick
van Leeuwen, Jolanda
author_sort Ünlü, Betül
collection PubMed
description BACKGROUND: Genetic suppression occurs when the deleterious effects of a primary “query” mutation, such as a disease-causing mutation, are rescued by a suppressor mutation elsewhere in the genome. METHODS: To capture existing knowledge on suppression relationships between human genes, we examined 2,400 published papers for potential interactions identified through either genetic modification of cultured human cells or through association studies in patients. RESULTS: The resulting network encompassed 476 unique suppression interactions covering a wide spectrum of diseases and biological functions. The interactions frequently linked genes that operate in the same biological process. Suppressors were strongly enriched for genes with a role in stress response or signaling, suggesting that deleterious mutations can often be buffered by modulating signaling cascades or immune responses. Suppressor mutations tended to be deleterious when they occurred in absence of the query mutation, in apparent contrast with their protective role in the presence of the query. We formulated and quantified mechanisms of genetic suppression that could explain 71% of interactions and provided mechanistic insight into disease pathology. Finally, we used these observations to predict suppressor genes in the human genome. CONCLUSIONS: The global suppression network allowed us to define principles of genetic suppression that were conserved across diseases, model systems, and species. The emerging frequency of suppression interactions among human genes and range of underlying mechanisms, together with the prevalence of suppression in model organisms, suggest that compensatory mutations may exist for most genetic diseases. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13073-023-01232-0.
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spelling pubmed-105688082023-10-13 Global analysis of suppressor mutations that rescue human genetic defects Ünlü, Betül Pons, Carles Ho, Uyen Linh Batté, Amandine Aloy, Patrick van Leeuwen, Jolanda Genome Med Research BACKGROUND: Genetic suppression occurs when the deleterious effects of a primary “query” mutation, such as a disease-causing mutation, are rescued by a suppressor mutation elsewhere in the genome. METHODS: To capture existing knowledge on suppression relationships between human genes, we examined 2,400 published papers for potential interactions identified through either genetic modification of cultured human cells or through association studies in patients. RESULTS: The resulting network encompassed 476 unique suppression interactions covering a wide spectrum of diseases and biological functions. The interactions frequently linked genes that operate in the same biological process. Suppressors were strongly enriched for genes with a role in stress response or signaling, suggesting that deleterious mutations can often be buffered by modulating signaling cascades or immune responses. Suppressor mutations tended to be deleterious when they occurred in absence of the query mutation, in apparent contrast with their protective role in the presence of the query. We formulated and quantified mechanisms of genetic suppression that could explain 71% of interactions and provided mechanistic insight into disease pathology. Finally, we used these observations to predict suppressor genes in the human genome. CONCLUSIONS: The global suppression network allowed us to define principles of genetic suppression that were conserved across diseases, model systems, and species. The emerging frequency of suppression interactions among human genes and range of underlying mechanisms, together with the prevalence of suppression in model organisms, suggest that compensatory mutations may exist for most genetic diseases. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13073-023-01232-0. BioMed Central 2023-10-12 /pmc/articles/PMC10568808/ /pubmed/37821946 http://dx.doi.org/10.1186/s13073-023-01232-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Ünlü, Betül
Pons, Carles
Ho, Uyen Linh
Batté, Amandine
Aloy, Patrick
van Leeuwen, Jolanda
Global analysis of suppressor mutations that rescue human genetic defects
title Global analysis of suppressor mutations that rescue human genetic defects
title_full Global analysis of suppressor mutations that rescue human genetic defects
title_fullStr Global analysis of suppressor mutations that rescue human genetic defects
title_full_unstemmed Global analysis of suppressor mutations that rescue human genetic defects
title_short Global analysis of suppressor mutations that rescue human genetic defects
title_sort global analysis of suppressor mutations that rescue human genetic defects
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10568808/
https://www.ncbi.nlm.nih.gov/pubmed/37821946
http://dx.doi.org/10.1186/s13073-023-01232-0
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