Evidence of new intragenic HBB haplotypes model for the prediction of beta-thalassemia in the Malaysian population

Abstract This study sought to determine the potential role of HBB haplotypes to predict beta-thalassemia in the Malaysian population. A total of 543 archived samples were selected for this study. Five tagging SNPs in the beta-globin gene (HBB; NG_000007.3) were analyzed for SNP-based and haplotype a...

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Autores principales: Nur-Aisyah Aziz, Wan-Rohani Wan Taib, Nur-Khairunnisa Kharolazaman, Imilia Ismail, Hamid Ali Nagi Al-Jamal, Nadiah Wan-Arfah Wan Abdul Jamil, Ezalia Esa, Hishamshah Ibrahim
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Publicado: Nature Portfolio 2021
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spelling oai:doaj.org-article:b6f83b202f7944819ba8a21e16708e7e2021-12-02T17:08:43ZEvidence of new intragenic HBB haplotypes model for the prediction of beta-thalassemia in the Malaysian population10.1038/s41598-021-96018-y2045-2322https://doaj.org/article/b6f83b202f7944819ba8a21e16708e7e2021-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-96018-yhttps://doaj.org/toc/2045-2322Abstract This study sought to determine the potential role of HBB haplotypes to predict beta-thalassemia in the Malaysian population. A total of 543 archived samples were selected for this study. Five tagging SNPs in the beta-globin gene (HBB; NG_000007.3) were analyzed for SNP-based and haplotype association using SHEsis online software. Single-SNP-based association analysis showed three SNPs have a statistically significant association with beta-thalassemia. When Bonferroni correction was applied, four SNPs were found statistically significant with beta-thalassemia; IVS2-74T>G (p adj  = 0.047), IVS2-16G>C (p adj  = 0.017), IVS2-666C>T (p adj  = 0.017) and 3’UTR + 314G>A (p adj  = 0.002). However, 3'UTR + 233G>C did not yield a significant association with p adj value = 0.076. Further investigation using combined five SNPs for haplotype association analysis revealed three susceptible haplotypes with significant p values of which, haplotypes 1-2-2-1-1 (p = 6.49 × 10−7, OR = 10.371 [3.345–32.148]), 1-2-1-1-1 (p = 0.009, OR = 1.423 [1.095–1.850] and 1-1-1-1-1 (p = 1.39 × 10−4, OR = 10.221 [2.345–44.555]). Three haplotypes showed protective effect with significant p value of which, 2-2-1-1-1 (p = 0.006, OR = 0.668 [0.500–0.893]), 1-1-2-2-1 (p = 0.013, OR = 0.357 [0.153–0.830]) and 1-1-2-1-1 (p = 0.033, OR = 0.745 [0.567–0.977]). This study has identified the potential use of intragenic polymorphic markers in the HBB gene, which were significantly associated with beta-thalassemia. Combining these five SNPs defined a new haplotype model for beta-thalassemia and further evaluation for predicting severity in beta-thalassemia.Nur-Aisyah AzizWan-Rohani Wan TaibNur-Khairunnisa KharolazamanImilia IsmailHamid Ali Nagi Al-JamalNadiah Wan-Arfah Wan Abdul JamilEzalia EsaHishamshah IbrahimNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-6 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Nur-Aisyah Aziz
Wan-Rohani Wan Taib
Nur-Khairunnisa Kharolazaman
Imilia Ismail
Hamid Ali Nagi Al-Jamal
Nadiah Wan-Arfah Wan Abdul Jamil
Ezalia Esa
Hishamshah Ibrahim
Evidence of new intragenic HBB haplotypes model for the prediction of beta-thalassemia in the Malaysian population
description Abstract This study sought to determine the potential role of HBB haplotypes to predict beta-thalassemia in the Malaysian population. A total of 543 archived samples were selected for this study. Five tagging SNPs in the beta-globin gene (HBB; NG_000007.3) were analyzed for SNP-based and haplotype association using SHEsis online software. Single-SNP-based association analysis showed three SNPs have a statistically significant association with beta-thalassemia. When Bonferroni correction was applied, four SNPs were found statistically significant with beta-thalassemia; IVS2-74T>G (p adj  = 0.047), IVS2-16G>C (p adj  = 0.017), IVS2-666C>T (p adj  = 0.017) and 3’UTR + 314G>A (p adj  = 0.002). However, 3'UTR + 233G>C did not yield a significant association with p adj value = 0.076. Further investigation using combined five SNPs for haplotype association analysis revealed three susceptible haplotypes with significant p values of which, haplotypes 1-2-2-1-1 (p = 6.49 × 10−7, OR = 10.371 [3.345–32.148]), 1-2-1-1-1 (p = 0.009, OR = 1.423 [1.095–1.850] and 1-1-1-1-1 (p = 1.39 × 10−4, OR = 10.221 [2.345–44.555]). Three haplotypes showed protective effect with significant p value of which, 2-2-1-1-1 (p = 0.006, OR = 0.668 [0.500–0.893]), 1-1-2-2-1 (p = 0.013, OR = 0.357 [0.153–0.830]) and 1-1-2-1-1 (p = 0.033, OR = 0.745 [0.567–0.977]). This study has identified the potential use of intragenic polymorphic markers in the HBB gene, which were significantly associated with beta-thalassemia. Combining these five SNPs defined a new haplotype model for beta-thalassemia and further evaluation for predicting severity in beta-thalassemia.
format article
author Nur-Aisyah Aziz
Wan-Rohani Wan Taib
Nur-Khairunnisa Kharolazaman
Imilia Ismail
Hamid Ali Nagi Al-Jamal
Nadiah Wan-Arfah Wan Abdul Jamil
Ezalia Esa
Hishamshah Ibrahim
author_facet Nur-Aisyah Aziz
Wan-Rohani Wan Taib
Nur-Khairunnisa Kharolazaman
Imilia Ismail
Hamid Ali Nagi Al-Jamal
Nadiah Wan-Arfah Wan Abdul Jamil
Ezalia Esa
Hishamshah Ibrahim
author_sort Nur-Aisyah Aziz
title Evidence of new intragenic HBB haplotypes model for the prediction of beta-thalassemia in the Malaysian population
title_short Evidence of new intragenic HBB haplotypes model for the prediction of beta-thalassemia in the Malaysian population
title_full Evidence of new intragenic HBB haplotypes model for the prediction of beta-thalassemia in the Malaysian population
title_fullStr Evidence of new intragenic HBB haplotypes model for the prediction of beta-thalassemia in the Malaysian population
title_full_unstemmed Evidence of new intragenic HBB haplotypes model for the prediction of beta-thalassemia in the Malaysian population
title_sort evidence of new intragenic hbb haplotypes model for the prediction of beta-thalassemia in the malaysian population
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/b6f83b202f7944819ba8a21e16708e7e
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