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Fluorescence Melting Curve Analysis for Concurrent Genotyping of Three Tag SNPs in FUT3

The synthesis of Lewis blood group antigens is governed by two fucosyltransferase genes, FUT2 and FUT3. Evidence is accumulating to suggest that functional polymorphisms of FUT2 and FUT3 are associated with a variety of clinical conditions. Fluorescence melting curve analysis (FMCA), using three dif...

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Autores principales: Soejima, Mikiko, Koda, Yoshiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9777090/
https://www.ncbi.nlm.nih.gov/pubmed/36553046
http://dx.doi.org/10.3390/diagnostics12123039
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author Soejima, Mikiko
Koda, Yoshiro
author_facet Soejima, Mikiko
Koda, Yoshiro
author_sort Soejima, Mikiko
collection PubMed
description The synthesis of Lewis blood group antigens is governed by two fucosyltransferase genes, FUT2 and FUT3. Evidence is accumulating to suggest that functional polymorphisms of FUT2 and FUT3 are associated with a variety of clinical conditions. Fluorescence melting curve analysis (FMCA), using three different dual-labeled probes for concurrent genotyping of three single nucleotide polymorphisms (SNPs) of FUT3, c.59T>G, c.314C>T, and c.484G>A for Lewis-negative allele inference, was developed and validated using Ghanaian and Caucasian subjects. Although two other SNPs, c.55G>A, and c.61C>T, are located in the probe sequence for c.59T>G, it seems feasible to detect these two SNPs along with c.59T>G. The results obtained by probe-based FMCA were in perfect accordance with those obtained by Sanger sequencing for 106 Ghanaians and 100 Caucasians. The present method is useful and reliable for estimating Lewis-negative alleles on a relatively large scale.
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spelling pubmed-97770902022-12-23 Fluorescence Melting Curve Analysis for Concurrent Genotyping of Three Tag SNPs in FUT3 Soejima, Mikiko Koda, Yoshiro Diagnostics (Basel) Article The synthesis of Lewis blood group antigens is governed by two fucosyltransferase genes, FUT2 and FUT3. Evidence is accumulating to suggest that functional polymorphisms of FUT2 and FUT3 are associated with a variety of clinical conditions. Fluorescence melting curve analysis (FMCA), using three different dual-labeled probes for concurrent genotyping of three single nucleotide polymorphisms (SNPs) of FUT3, c.59T>G, c.314C>T, and c.484G>A for Lewis-negative allele inference, was developed and validated using Ghanaian and Caucasian subjects. Although two other SNPs, c.55G>A, and c.61C>T, are located in the probe sequence for c.59T>G, it seems feasible to detect these two SNPs along with c.59T>G. The results obtained by probe-based FMCA were in perfect accordance with those obtained by Sanger sequencing for 106 Ghanaians and 100 Caucasians. The present method is useful and reliable for estimating Lewis-negative alleles on a relatively large scale. MDPI 2022-12-04 /pmc/articles/PMC9777090/ /pubmed/36553046 http://dx.doi.org/10.3390/diagnostics12123039 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Soejima, Mikiko
Koda, Yoshiro
Fluorescence Melting Curve Analysis for Concurrent Genotyping of Three Tag SNPs in FUT3
title Fluorescence Melting Curve Analysis for Concurrent Genotyping of Three Tag SNPs in FUT3
title_full Fluorescence Melting Curve Analysis for Concurrent Genotyping of Three Tag SNPs in FUT3
title_fullStr Fluorescence Melting Curve Analysis for Concurrent Genotyping of Three Tag SNPs in FUT3
title_full_unstemmed Fluorescence Melting Curve Analysis for Concurrent Genotyping of Three Tag SNPs in FUT3
title_short Fluorescence Melting Curve Analysis for Concurrent Genotyping of Three Tag SNPs in FUT3
title_sort fluorescence melting curve analysis for concurrent genotyping of three tag snps in fut3
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9777090/
https://www.ncbi.nlm.nih.gov/pubmed/36553046
http://dx.doi.org/10.3390/diagnostics12123039
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