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Development and Validation of a Mathematical Model to Predict the Complexity of FMR1 Allele Combinations
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 al...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7691586/ https://www.ncbi.nlm.nih.gov/pubmed/33281866 http://dx.doi.org/10.3389/fgene.2020.557147 |
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author | Rodrigues, Bárbara Vale-Fernandes, Emídio Maia, Nuno Santos, Flávia Marques, Isabel Santos, Rosário Nogueira, António J. A. Jorge, Paula |
author_facet | Rodrigues, Bárbara Vale-Fernandes, Emídio Maia, Nuno Santos, Flávia Marques, Isabel Santos, Rosário Nogueira, António J. A. Jorge, Paula |
author_sort | Rodrigues, Bárbara |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-7691586 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-76915862020-12-04 Development and Validation of a Mathematical Model to Predict the Complexity of FMR1 Allele Combinations Rodrigues, Bárbara Vale-Fernandes, Emídio Maia, Nuno Santos, Flávia Marques, Isabel Santos, Rosário Nogueira, António J. A. Jorge, Paula Front Genet Genetics 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. Frontiers Media S.A. 2020-11-13 /pmc/articles/PMC7691586/ /pubmed/33281866 http://dx.doi.org/10.3389/fgene.2020.557147 Text en Copyright © 2020 Rodrigues, Vale-Fernandes, Maia, Santos, Marques, Santos, Nogueira and Jorge. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Rodrigues, Bárbara Vale-Fernandes, Emídio Maia, Nuno Santos, Flávia Marques, Isabel Santos, Rosário Nogueira, António J. A. Jorge, Paula 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 |
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_short | 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 |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7691586/ https://www.ncbi.nlm.nih.gov/pubmed/33281866 http://dx.doi.org/10.3389/fgene.2020.557147 |
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