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Estimation of Lewis Blood Group Status by Fluorescence Melting Curve Analysis in Simultaneous Genotyping of c.385A>T and Fusion Gene in FUT2 and c.59T>G and c.314C>T in FUT3

Lewis blood group status is determined by two fucosyltransferase activities: those of FUT2-encoded fucosyltransferase (Se enzyme) and FUT3-encoded fucosyltransferase (Le enzyme). In Japanese populations, c.385A>T in FUT2 and a fusion gene between FUT2 and its pseudogene SEC1P are the cause of mos...

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Autores principales: Soejima, Mikiko, Koda, Yoshiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10000471/
https://www.ncbi.nlm.nih.gov/pubmed/36900072
http://dx.doi.org/10.3390/diagnostics13050931
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author Soejima, Mikiko
Koda, Yoshiro
author_facet Soejima, Mikiko
Koda, Yoshiro
author_sort Soejima, Mikiko
collection PubMed
description Lewis blood group status is determined by two fucosyltransferase activities: those of FUT2-encoded fucosyltransferase (Se enzyme) and FUT3-encoded fucosyltransferase (Le enzyme). In Japanese populations, c.385A>T in FUT2 and a fusion gene between FUT2 and its pseudogene SEC1P are the cause of most Se enzyme-deficient alleles (Se(w) and se(fus)), and c.59T>G and c.314C>T in FUT3 are tag SNPs for almost all nonfunctional FUT3 alleles (le(59), le(59,508), le(59,1067), and le(202,314)). In this study, we first conducted a single-probe fluorescence melting curve analysis (FMCA) to determine c.385A>T and se(fus) using a pair of primers that collectively amplify FUT2, se(fus), and SEC1P. Then, to estimate Lewis blood group status, a triplex FMCA was performed with a c.385A>T and se(fus) assay system by adding primers and probes to detect c.59T>G and c.314C>T in FUT3. We also validated these methods by analyzing the genotypes of 96 selected Japanese people whose FUT2 and FUT3 genotypes were already determined. The single-probe FMCA was able to identify six genotype combinations: 385A/A, 385T/T, se(fus)/se(fus), 385A/T, 385A/se(fus), and 385T/se(fus). In addition, the triplex FMCA successfully identified both FUT2 and FUT3 genotypes, although the resolutions of the analysis of c.385A>T and se(fus) were somewhat reduced compared to that of the analysis of FUT2 alone. The estimation of the secretor status and Lewis blood group status using the form of FMCA used in this study may be useful for large-scale association studies in Japanese populations.
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spelling pubmed-100004712023-03-11 Estimation of Lewis Blood Group Status by Fluorescence Melting Curve Analysis in Simultaneous Genotyping of c.385A>T and Fusion Gene in FUT2 and c.59T>G and c.314C>T in FUT3 Soejima, Mikiko Koda, Yoshiro Diagnostics (Basel) Article Lewis blood group status is determined by two fucosyltransferase activities: those of FUT2-encoded fucosyltransferase (Se enzyme) and FUT3-encoded fucosyltransferase (Le enzyme). In Japanese populations, c.385A>T in FUT2 and a fusion gene between FUT2 and its pseudogene SEC1P are the cause of most Se enzyme-deficient alleles (Se(w) and se(fus)), and c.59T>G and c.314C>T in FUT3 are tag SNPs for almost all nonfunctional FUT3 alleles (le(59), le(59,508), le(59,1067), and le(202,314)). In this study, we first conducted a single-probe fluorescence melting curve analysis (FMCA) to determine c.385A>T and se(fus) using a pair of primers that collectively amplify FUT2, se(fus), and SEC1P. Then, to estimate Lewis blood group status, a triplex FMCA was performed with a c.385A>T and se(fus) assay system by adding primers and probes to detect c.59T>G and c.314C>T in FUT3. We also validated these methods by analyzing the genotypes of 96 selected Japanese people whose FUT2 and FUT3 genotypes were already determined. The single-probe FMCA was able to identify six genotype combinations: 385A/A, 385T/T, se(fus)/se(fus), 385A/T, 385A/se(fus), and 385T/se(fus). In addition, the triplex FMCA successfully identified both FUT2 and FUT3 genotypes, although the resolutions of the analysis of c.385A>T and se(fus) were somewhat reduced compared to that of the analysis of FUT2 alone. The estimation of the secretor status and Lewis blood group status using the form of FMCA used in this study may be useful for large-scale association studies in Japanese populations. MDPI 2023-03-01 /pmc/articles/PMC10000471/ /pubmed/36900072 http://dx.doi.org/10.3390/diagnostics13050931 Text en © 2023 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
Estimation of Lewis Blood Group Status by Fluorescence Melting Curve Analysis in Simultaneous Genotyping of c.385A>T and Fusion Gene in FUT2 and c.59T>G and c.314C>T in FUT3
title Estimation of Lewis Blood Group Status by Fluorescence Melting Curve Analysis in Simultaneous Genotyping of c.385A>T and Fusion Gene in FUT2 and c.59T>G and c.314C>T in FUT3
title_full Estimation of Lewis Blood Group Status by Fluorescence Melting Curve Analysis in Simultaneous Genotyping of c.385A>T and Fusion Gene in FUT2 and c.59T>G and c.314C>T in FUT3
title_fullStr Estimation of Lewis Blood Group Status by Fluorescence Melting Curve Analysis in Simultaneous Genotyping of c.385A>T and Fusion Gene in FUT2 and c.59T>G and c.314C>T in FUT3
title_full_unstemmed Estimation of Lewis Blood Group Status by Fluorescence Melting Curve Analysis in Simultaneous Genotyping of c.385A>T and Fusion Gene in FUT2 and c.59T>G and c.314C>T in FUT3
title_short Estimation of Lewis Blood Group Status by Fluorescence Melting Curve Analysis in Simultaneous Genotyping of c.385A>T and Fusion Gene in FUT2 and c.59T>G and c.314C>T in FUT3
title_sort estimation of lewis blood group status by fluorescence melting curve analysis in simultaneous genotyping of c.385a>t and fusion gene in fut2 and c.59t>g and c.314c>t in fut3
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10000471/
https://www.ncbi.nlm.nih.gov/pubmed/36900072
http://dx.doi.org/10.3390/diagnostics13050931
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