A General Framework for Neutrality Tests Based on the Site Frequency Spectrum
One of the main necessities for population geneticists is the availability of sensitive statistical tools that enable to accept or reject the standard Wright-Fisher model of neutral evolution. A number of statistical tests have been developed to detect specific deviations from the null frequency spe...
| Autores: | , , , |
|---|---|
| Tipo de recurso: | artículo |
| Fecha de publicación: | 2023 |
| País: | España |
| Institución: | Universitat Autònoma de Barcelona |
| Repositorio: | Dipòsit Digital de Documents de la UAB |
| Idioma: | inglés |
| OAI Identifier: | oai:ddd.uab.cat:296870 |
| Acceso en línea: | https://ddd.uab.cat/record/296870 https://dx.doi.org/urn:doi:10.3390/genes14091714 |
| Access Level: | acceso abierto |
| Palabra clave: | Coalescent theory Site frequency spectrum Neutrality test Statistical power Summary statistics |
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A General Framework for Neutrality Tests Based on the Site Frequency SpectrumRamos Onsins, Sebastián Ernesto|||0000-0002-1776-140XMarmorini, Giacomo|||0000-0003-3492-276XAchaz, Guillaume|||0000-0003-4514-5935Ferretti, LucaCoalescent theorySite frequency spectrumNeutrality testStatistical powerSummary statisticsOne of the main necessities for population geneticists is the availability of sensitive statistical tools that enable to accept or reject the standard Wright-Fisher model of neutral evolution. A number of statistical tests have been developed to detect specific deviations from the null frequency spectrum in different directions (e.g., Tajima's D, Fu and Li's F and D tests, Fay and Wu's H). A general framework exists to generate all neutrality tests that are linear functions of the frequency spectrum. In this framework, it is possible to develop a family of optimal tests with almost maximum power against a specific alternative evolutionary scenario. In this paper we provide a thorough discussion of the structure and properties of linear and nonlinear neutrality tests. First, we present the general framework for linear tests and emphasise the importance of the property of scalability with the sample size (that is, the interpretation of the tests should not depend on the sample size), which, if missing, can lead to errors in interpreting the data. After summarising the motivation and structure of linear optimal tests, we present a more general framework for the optimisation of linear tests, leading to a new family of tunable neutrality tests. In a further generalisation, we extend the framework to nonlinear neutrality tests and we derive nonlinear optimal tests for polynomials of any degree in the frequency spectrum. 22023-01-0120232023-01-01Articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://ddd.uab.cat/record/296870https://dx.doi.org/urn:doi:10.3390/genes14091714reponame:Dipòsit Digital de Documents de la UABinstname:Universitat Autònoma de BarcelonaInglésengMinisterio de Ciencia e Innovación https://doi.org/10.13039/501100004837 CGL2009-0934Agencia Estatal de Investigación https://doi.org/10.13039/501100011033 PID2020-119255GB-I00open accesshttp://purl.org/coar/access_right/c_abf2Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:ddd.uab.cat:2968702026-06-06T12:50:31Z |
| dc.title.none.fl_str_mv |
A General Framework for Neutrality Tests Based on the Site Frequency Spectrum |
| title |
A General Framework for Neutrality Tests Based on the Site Frequency Spectrum |
| spellingShingle |
A General Framework for Neutrality Tests Based on the Site Frequency Spectrum Ramos Onsins, Sebastián Ernesto|||0000-0002-1776-140X Coalescent theory Site frequency spectrum Neutrality test Statistical power Summary statistics |
| title_short |
A General Framework for Neutrality Tests Based on the Site Frequency Spectrum |
| title_full |
A General Framework for Neutrality Tests Based on the Site Frequency Spectrum |
| title_fullStr |
A General Framework for Neutrality Tests Based on the Site Frequency Spectrum |
| title_full_unstemmed |
A General Framework for Neutrality Tests Based on the Site Frequency Spectrum |
| title_sort |
A General Framework for Neutrality Tests Based on the Site Frequency Spectrum |
| dc.creator.none.fl_str_mv |
Ramos Onsins, Sebastián Ernesto|||0000-0002-1776-140X Marmorini, Giacomo|||0000-0003-3492-276X Achaz, Guillaume|||0000-0003-4514-5935 Ferretti, Luca |
| author |
Ramos Onsins, Sebastián Ernesto|||0000-0002-1776-140X |
| author_facet |
Ramos Onsins, Sebastián Ernesto|||0000-0002-1776-140X Marmorini, Giacomo|||0000-0003-3492-276X Achaz, Guillaume|||0000-0003-4514-5935 Ferretti, Luca |
| author_role |
author |
| author2 |
Marmorini, Giacomo|||0000-0003-3492-276X Achaz, Guillaume|||0000-0003-4514-5935 Ferretti, Luca |
| author2_role |
author author author |
| dc.subject.none.fl_str_mv |
Coalescent theory Site frequency spectrum Neutrality test Statistical power Summary statistics |
| topic |
Coalescent theory Site frequency spectrum Neutrality test Statistical power Summary statistics |
| description |
One of the main necessities for population geneticists is the availability of sensitive statistical tools that enable to accept or reject the standard Wright-Fisher model of neutral evolution. A number of statistical tests have been developed to detect specific deviations from the null frequency spectrum in different directions (e.g., Tajima's D, Fu and Li's F and D tests, Fay and Wu's H). A general framework exists to generate all neutrality tests that are linear functions of the frequency spectrum. In this framework, it is possible to develop a family of optimal tests with almost maximum power against a specific alternative evolutionary scenario. In this paper we provide a thorough discussion of the structure and properties of linear and nonlinear neutrality tests. First, we present the general framework for linear tests and emphasise the importance of the property of scalability with the sample size (that is, the interpretation of the tests should not depend on the sample size), which, if missing, can lead to errors in interpreting the data. After summarising the motivation and structure of linear optimal tests, we present a more general framework for the optimisation of linear tests, leading to a new family of tunable neutrality tests. In a further generalisation, we extend the framework to nonlinear neutrality tests and we derive nonlinear optimal tests for polynomials of any degree in the frequency spectrum. |
| publishDate |
2023 |
| dc.date.none.fl_str_mv |
2 2023-01-01 2023 2023-01-01 |
| dc.type.none.fl_str_mv |
Article http://purl.org/coar/resource_type/c_6501 VoR http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| dc.type.openaire.fl_str_mv |
info:eu-repo/semantics/article |
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article |
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https://ddd.uab.cat/record/296870 https://dx.doi.org/urn:doi:10.3390/genes14091714 |
| url |
https://ddd.uab.cat/record/296870 https://dx.doi.org/urn:doi:10.3390/genes14091714 |
| dc.language.none.fl_str_mv |
Inglés eng |
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Inglés |
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eng |
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Ministerio de Ciencia e Innovación https://doi.org/10.13039/501100004837 CGL2009-0934 Agencia Estatal de Investigación https://doi.org/10.13039/501100011033 PID2020-119255GB-I00 |
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open access http://purl.org/coar/access_right/c_abf2 https://creativecommons.org/licenses/by/4.0/ |
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info:eu-repo/semantics/openAccess |
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open access http://purl.org/coar/access_right/c_abf2 https://creativecommons.org/licenses/by/4.0/ |
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openAccess |
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application/pdf |
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reponame:Dipòsit Digital de Documents de la UAB instname:Universitat Autònoma de Barcelona |
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Universitat Autònoma de Barcelona |
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