Development and Validation of a Mathematical Model to Predict the Complexity of FMR1 Allele Combinations

Detalhes bibliográficos
Autor(a) principal: Rodrigues, Bárbara
Data de Publicação: 2020
Outros Autores: Vale-Fernandes, Emídio, Maia, N, Santos, Flávia, Marques, Isabel, Santos, Rosário, Nogueira, António J. A., Jorge, Paula
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.16/2627
Resumo: The polymorphic trinucleotide repetitive region in the FMR1 gene 5'UTR contains AGG interspersions, particularly in normal-sized alleles (CGG < 45). In this range repetitive stretches are typically interrupted once or twice, although alleles without or with three or more AGG interspersions can also be observed. AGG interspersions together with the total length of the repetitive region confer stability and hinder expansion to pathogenic ranges: either premutation (55 < CGG < 200) or full mutation (CGG > 200). The AGG interspersions have long been identified as one of the most important features of FMR1 repeat stability, being particularly important to determine expansion risk estimates in female premutation carriers. We sought to compute the combined AGG interspersion numbers and patterns, aiming to define FMR1 repetitive tract complexity combinations. A mathematical model, the first to compute this cumulative effect, was developed and validated using data from 131 young and healthy females. Plotting of their allelic complexity enabled the identification of two statistically distinct groups - equivalent and dissimilar allelic combinations. The outcome, a numerical parameter designated allelic score, depicts the repeat substructure of each allele, measuring the allelic complexity of the FMR1 gene including the AGGs burden, thus allowing new behavioral scrutiny of normal-sized alleles in females.
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spelling Development and Validation of a Mathematical Model to Predict the Complexity of FMR1 Allele CombinationsAGG interspersion patternCGG repeatsFMR1 geneallelic scoremodeling allelic complexityThe polymorphic trinucleotide repetitive region in the FMR1 gene 5'UTR contains AGG interspersions, particularly in normal-sized alleles (CGG < 45). In this range repetitive stretches are typically interrupted once or twice, although alleles without or with three or more AGG interspersions can also be observed. AGG interspersions together with the total length of the repetitive region confer stability and hinder expansion to pathogenic ranges: either premutation (55 < CGG < 200) or full mutation (CGG > 200). The AGG interspersions have long been identified as one of the most important features of FMR1 repeat stability, being particularly important to determine expansion risk estimates in female premutation carriers. We sought to compute the combined AGG interspersion numbers and patterns, aiming to define FMR1 repetitive tract complexity combinations. A mathematical model, the first to compute this cumulative effect, was developed and validated using data from 131 young and healthy females. Plotting of their allelic complexity enabled the identification of two statistically distinct groups - equivalent and dissimilar allelic combinations. The outcome, a numerical parameter designated allelic score, depicts the repeat substructure of each allele, measuring the allelic complexity of the FMR1 gene including the AGGs burden, thus allowing new behavioral scrutiny of normal-sized alleles in females.This work was supported by national funds: FCT/MCTES (Fundação para a Ciência e a Tecnologia) – Project Reference SFRH/BD/136398/2018 to BR, UMIB (Unidade Multidisciplinar de Investigação Biomédica) – Reference UIDP/00215/2020 and UIDB/00215/2020, DEFI (Departamento de Ensino, Formação e Investigação) – Reference 2015-DEFI/145/12, and CESAM (Centro de Estudos do Ambiente e do Mar) – Reference UIDP/50017/2020 and UIDB/50017/2020.Frontiers Research FoundationRepositório Científico do Centro Hospitalar Universitário de Santo AntónioRodrigues, BárbaraVale-Fernandes, EmídioMaia, NSantos, FláviaMarques, IsabelSantos, RosárioNogueira, António J. A.Jorge, Paula2021-11-23T15:04:12Z2020-11-132020-11-13T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.16/2627engRodrigues B, Vale-Fernandes E, Maia N, et al. Development and Validation of a Mathematical Model to Predict the Complexity of FMR1 Allele Combinations. Front Genet. 2020;11:557147. doi:10.3389/fgene.2020.5571471664-802110.3389/fgene.2020.557147info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-10-20T11:01:22Zoai:repositorio.chporto.pt:10400.16/2627Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:38:49.736814Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Development and Validation of a Mathematical Model to Predict the Complexity of FMR1 Allele Combinations
title Development and Validation of a Mathematical Model to Predict the Complexity of FMR1 Allele Combinations
spellingShingle Development and Validation of a Mathematical Model to Predict the Complexity of FMR1 Allele Combinations
Rodrigues, Bárbara
AGG interspersion pattern
CGG repeats
FMR1 gene
allelic score
modeling allelic complexity
title_short Development and Validation of a Mathematical Model to Predict the Complexity of FMR1 Allele Combinations
title_full Development and Validation of a Mathematical Model to Predict the Complexity of FMR1 Allele Combinations
title_fullStr Development and Validation of a Mathematical Model to Predict the Complexity of FMR1 Allele Combinations
title_full_unstemmed Development and Validation of a Mathematical Model to Predict the Complexity of FMR1 Allele Combinations
title_sort Development and Validation of a Mathematical Model to Predict the Complexity of FMR1 Allele Combinations
author Rodrigues, Bárbara
author_facet Rodrigues, Bárbara
Vale-Fernandes, Emídio
Maia, N
Santos, Flávia
Marques, Isabel
Santos, Rosário
Nogueira, António J. A.
Jorge, Paula
author_role author
author2 Vale-Fernandes, Emídio
Maia, N
Santos, Flávia
Marques, Isabel
Santos, Rosário
Nogueira, António J. A.
Jorge, Paula
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Repositório Científico do Centro Hospitalar Universitário de Santo António
dc.contributor.author.fl_str_mv Rodrigues, Bárbara
Vale-Fernandes, Emídio
Maia, N
Santos, Flávia
Marques, Isabel
Santos, Rosário
Nogueira, António J. A.
Jorge, Paula
dc.subject.por.fl_str_mv AGG interspersion pattern
CGG repeats
FMR1 gene
allelic score
modeling allelic complexity
topic AGG interspersion pattern
CGG repeats
FMR1 gene
allelic score
modeling allelic complexity
description The polymorphic trinucleotide repetitive region in the FMR1 gene 5'UTR contains AGG interspersions, particularly in normal-sized alleles (CGG < 45). In this range repetitive stretches are typically interrupted once or twice, although alleles without or with three or more AGG interspersions can also be observed. AGG interspersions together with the total length of the repetitive region confer stability and hinder expansion to pathogenic ranges: either premutation (55 < CGG < 200) or full mutation (CGG > 200). The AGG interspersions have long been identified as one of the most important features of FMR1 repeat stability, being particularly important to determine expansion risk estimates in female premutation carriers. We sought to compute the combined AGG interspersion numbers and patterns, aiming to define FMR1 repetitive tract complexity combinations. A mathematical model, the first to compute this cumulative effect, was developed and validated using data from 131 young and healthy females. Plotting of their allelic complexity enabled the identification of two statistically distinct groups - equivalent and dissimilar allelic combinations. The outcome, a numerical parameter designated allelic score, depicts the repeat substructure of each allele, measuring the allelic complexity of the FMR1 gene including the AGGs burden, thus allowing new behavioral scrutiny of normal-sized alleles in females.
publishDate 2020
dc.date.none.fl_str_mv 2020-11-13
2020-11-13T00:00:00Z
2021-11-23T15:04:12Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.16/2627
url http://hdl.handle.net/10400.16/2627
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Rodrigues B, Vale-Fernandes E, Maia N, et al. Development and Validation of a Mathematical Model to Predict the Complexity of FMR1 Allele Combinations. Front Genet. 2020;11:557147. doi:10.3389/fgene.2020.557147
1664-8021
10.3389/fgene.2020.557147
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Frontiers Research Foundation
publisher.none.fl_str_mv Frontiers Research Foundation
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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