Type 2 diabetes associated variants of KCNQ1 strongly confer the risk of cardiovascular disease among the Saudi Arabian population
Abstract Genome-wide association studies have identified several loci associated with an increased risk for cardiovascular disease (CVD) and type 2 diabetes (T2D). Polymorphisms within the KCNQ1 (potassium voltage-gated channel, KQT-like subfamily, member 1) gene are consistently associated with T2D...
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Sociedade Brasileira de Genética
2017-08-01
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doaj-73a9fe912f344490a06bbed236ec32492020-11-25T02:39:27ZengSociedade Brasileira de GenéticaGenetics and Molecular Biology1678-46852017-08-0140358659010.1590/1678-4685-gmb-2017-0005S1415-47572017000400586Type 2 diabetes associated variants of KCNQ1 strongly confer the risk of cardiovascular disease among the Saudi Arabian populationMaha S. Al-ShammariRhaya Al-AliNader Al-BalawiMansour S. Al-EnaziAli A. Al-MuraikhiFadi N. BusalehAli S. Al-SahwanAbdulmohsen Al-ElqAwatif N. Al-NafaieJesu Francis BorgioSayed AbdulAzeezAmein Al-AliSadananda AcharyaAbstract Genome-wide association studies have identified several loci associated with an increased risk for cardiovascular disease (CVD) and type 2 diabetes (T2D). Polymorphisms within the KCNQ1 (potassium voltage-gated channel, KQT-like subfamily, member 1) gene are consistently associated with T2D in a number of populations. The current study was undertaken to evaluate the association of 3 polymorphisms of KCNQ1 (rs2237892, rs151290 and rs2237895) with T2D and/or CVD. Patients diagnosed with either T2D (320 patients), CVD (250 patients) or both (60 patients) and 516 healthy controls were genotyped by TaqMan assay run on a real time PCR thermocycler. A statistically significant association was found for SNPs rs151290 (OR = 1.76; 95%CI = 1.02-3.05; p = 0.0435) and rs2237895 (OR = 2.49; 95%CI = 1.72-3.61; p < 0.0001) with CVD. SNP rs151290 (OR = 7.43; 95%CI = 1.00-55.22; p = 0.0499) showed a strong association in patients with both T2D and CVD. None of the SNPs showed any significant association with T2D. Haploview analysis showed that the ACC (rs151290, rs2237892 and rs2237895) haplotype is the most significant risk allele combination for CVD, while CCA is the most significant risk haplotype for co-morbidity with T2D. KCNQ1 polymorphism at SNPs rs151290 and rs2237895 is strongly associated with CVD in this population, but presented no association with T2D.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572017000400586&lng=en&tlng=enT2DCVDKCNQ1genetic associationSaudi population |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Maha S. Al-Shammari Rhaya Al-Ali Nader Al-Balawi Mansour S. Al-Enazi Ali A. Al-Muraikhi Fadi N. Busaleh Ali S. Al-Sahwan Abdulmohsen Al-Elq Awatif N. Al-Nafaie Jesu Francis Borgio Sayed AbdulAzeez Amein Al-Ali Sadananda Acharya |
spellingShingle |
Maha S. Al-Shammari Rhaya Al-Ali Nader Al-Balawi Mansour S. Al-Enazi Ali A. Al-Muraikhi Fadi N. Busaleh Ali S. Al-Sahwan Abdulmohsen Al-Elq Awatif N. Al-Nafaie Jesu Francis Borgio Sayed AbdulAzeez Amein Al-Ali Sadananda Acharya Type 2 diabetes associated variants of KCNQ1 strongly confer the risk of cardiovascular disease among the Saudi Arabian population Genetics and Molecular Biology T2D CVD KCNQ1 genetic association Saudi population |
author_facet |
Maha S. Al-Shammari Rhaya Al-Ali Nader Al-Balawi Mansour S. Al-Enazi Ali A. Al-Muraikhi Fadi N. Busaleh Ali S. Al-Sahwan Abdulmohsen Al-Elq Awatif N. Al-Nafaie Jesu Francis Borgio Sayed AbdulAzeez Amein Al-Ali Sadananda Acharya |
author_sort |
Maha S. Al-Shammari |
title |
Type 2 diabetes associated variants of KCNQ1 strongly confer the risk of cardiovascular disease among the Saudi Arabian population |
title_short |
Type 2 diabetes associated variants of KCNQ1 strongly confer the risk of cardiovascular disease among the Saudi Arabian population |
title_full |
Type 2 diabetes associated variants of KCNQ1 strongly confer the risk of cardiovascular disease among the Saudi Arabian population |
title_fullStr |
Type 2 diabetes associated variants of KCNQ1 strongly confer the risk of cardiovascular disease among the Saudi Arabian population |
title_full_unstemmed |
Type 2 diabetes associated variants of KCNQ1 strongly confer the risk of cardiovascular disease among the Saudi Arabian population |
title_sort |
type 2 diabetes associated variants of kcnq1 strongly confer the risk of cardiovascular disease among the saudi arabian population |
publisher |
Sociedade Brasileira de Genética |
series |
Genetics and Molecular Biology |
issn |
1678-4685 |
publishDate |
2017-08-01 |
description |
Abstract Genome-wide association studies have identified several loci associated with an increased risk for cardiovascular disease (CVD) and type 2 diabetes (T2D). Polymorphisms within the KCNQ1 (potassium voltage-gated channel, KQT-like subfamily, member 1) gene are consistently associated with T2D in a number of populations. The current study was undertaken to evaluate the association of 3 polymorphisms of KCNQ1 (rs2237892, rs151290 and rs2237895) with T2D and/or CVD. Patients diagnosed with either T2D (320 patients), CVD (250 patients) or both (60 patients) and 516 healthy controls were genotyped by TaqMan assay run on a real time PCR thermocycler. A statistically significant association was found for SNPs rs151290 (OR = 1.76; 95%CI = 1.02-3.05; p = 0.0435) and rs2237895 (OR = 2.49; 95%CI = 1.72-3.61; p < 0.0001) with CVD. SNP rs151290 (OR = 7.43; 95%CI = 1.00-55.22; p = 0.0499) showed a strong association in patients with both T2D and CVD. None of the SNPs showed any significant association with T2D. Haploview analysis showed that the ACC (rs151290, rs2237892 and rs2237895) haplotype is the most significant risk allele combination for CVD, while CCA is the most significant risk haplotype for co-morbidity with T2D. KCNQ1 polymorphism at SNPs rs151290 and rs2237895 is strongly associated with CVD in this population, but presented no association with T2D. |
topic |
T2D CVD KCNQ1 genetic association Saudi population |
url |
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572017000400586&lng=en&tlng=en |
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