Evidence map›Paper›PMID 28863213›Full record

ArticleGenetics and molecular biology

Type 2 diabetes associated variants of KCNQ1 strongly confer the risk of cardiovascular disease among the Saudi Arabian population.

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 and 3 more

Open access · goldAbstract read
In one paragraph

Article in Genetics and molecular biology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Associations ofJournal of diabetes research · 2020
    Pooled it
  2. World journal of diabetes · 2024
    Article
  3. Article
  4. Article
  5. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 2 institutions in 1 country.

Maha S Al-ShammariCollege of Medicine, University of Dammam, Kingdom of Saudi Arabia.
Rhaya Al-AliCollege of Medicine, University of Dammam, Kingdom of Saudi Arabia.
Nader Al-BalawiCollege of Medicine, University of Dammam, Kingdom of Saudi Arabia.
Mansour S Al-EnaziCollege of Medicine, University of Dammam, Kingdom of Saudi Arabia.
Ali A Al-MuraikhiCollege of Medicine, University of Dammam, Kingdom of Saudi Arabia.
Fadi N BusalehCollege of Medicine, University of Dammam, Kingdom of Saudi Arabia.
Ali S Al-SahwanCollege of Medicine, University of Dammam, Kingdom of Saudi Arabia.
Abdulmohsen Al-ElqKing Fahd Hospital of the University, University of Dammam, Dammam, Kingdom of Saudi Arabia.
Awatif N Al-NafaieKing Fahd Hospital of the University, University of Dammam, Dammam, Kingdom of Saudi Arabia.
Jesu Francis BorgioInstitute for Research and Medical Consultations (IRMC), University of Dammam, Kingdom of Saudi Arabia.
Sayed AbdulAzeezInstitute for Research and Medical Consultations (IRMC), University of Dammam, Kingdom of Saudi Arabia.
Amein Al-AliCollege of Medicine, University of Dammam, Kingdom of Saudi Arabia.
Sadananda AcharyaInstitute for Research and Medical Consultations (IRMC), University of Dammam, Kingdom of Saudi Arabia.
Imam Abdulrahman Bin Faisal University · SAKing Fahd Hospital of the University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Identifiers

PMID28863213
PMCPMC5596376
OpenAlexW2751319205

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.