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Mendeley readers
| Title |
Type 2 diabetes associated variants of KCNQ1 strongly confer the risk of cardiovascular disease among the Saudi Arabian population
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|---|---|
| Published in |
Genetics and Molecular Biology, August 2017
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| DOI | 10.1590/1678-4685-gmb-2017-0005 |
| Pubmed ID | |
| Authors |
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 |
| 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. |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor > Associate Professor | 4 | 20% |
| Researcher | 3 | 15% |
| Student > Bachelor | 2 | 10% |
| Student > Ph. D. Student | 2 | 10% |
| Lecturer | 1 | 5% |
| Other | 4 | 20% |
| Unknown | 4 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 30% |
| Medicine and Dentistry | 2 | 10% |
| Nursing and Health Professions | 1 | 5% |
| Arts and Humanities | 1 | 5% |
| Agricultural and Biological Sciences | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 8 | 40% |