Evidence map›Paper›PMID 29379361›Full record

ArticleSaudi journal of biological sciences2018

Molecular genetic studies in Saudi population; identified variants from GWAS and meta-analysis in stroke.

Khalid Khalaf Alharbi, Imran Ali Khan, Mohammad Abdullah Alotaibi, Abdullah Saud Aloyaid, Haifa Abdulaziz Al-Basheer, Naelah Abdullah Alghamdi, Raid Saleem Al-Baradie, A M Al-Sulaiman

Open access · hybridAbstract read
In one paragraph

Article in Saudi journal of biological sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 52% 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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. Review
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

8 authors at 3 institutions in 1 country.

Khalid Khalaf AlharbiDepartment of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud University, P.O. Box 10219, Riyadh 11433, Saudi Arabia.
Imran Ali KhanDepartment of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud University, P.O. Box 10219, Riyadh 11433, Saudi Arabia.
Mohammad Abdullah AlotaibiCollege of Medicine, Al-Imam University, Riyadh, Saudi Arabia.
Abdullah Saud AloyaidCollege of Medicine, Al-Imam University, Riyadh, Saudi Arabia.
Haifa Abdulaziz Al-BasheerDepartment of Pharmacy, PSMMC, Riyadh, Saudi Arabia.
Naelah Abdullah AlghamdiDepartment of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud University, P.O. Box 10219, Riyadh 11433, Saudi Arabia.
Raid Saleem Al-BaradieCollege of Applied Medical Sciences, Majmaah University, Al Majmaah, Saudi Arabia.
A M Al-SulaimanDepartment of Medical and Molecular Virology, PSMMC, Riyadh, Saudi Arabia.
King Saud University · SAImam Mohammad ibn Saud Islamic University · SAMajmaah University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionStroke is a multifactorial and heterogeneous disorder, correlates with heritability and considered as one of the major diseases. The prior reports performed the variable models such as genome-wide association studies (GWAS), replication, case-control, cross-sectional and meta-analysis studies and still, we lack diagnostic marker in the global world. There are limited studies were carried out in Saudi population, and we aim to investigate the molecular association of single nucleotide polymorphisms (SNPs) identified through GWAS and meta-analysis studies in stroke patients in the Saudi population.

methodsIn this case-control study, we have opted gender equality of 207 cases and 207 controls from the capital city of Saudi Arabia in King Saud University Hospital. The peripheral blood (5 ml) sample will be collected in two different vacutainers, and three mL of the coagulated blood will be used for lipid analysis (biochemical tests) and two mL will be used for DNA analysis (molecular tests). Genomic DNA will be extracted with the collected blood samples, and specific primers will be designed for the opted SNPs (

resultsThe rs646218 and rs11053646 polymorphisms were significantly associated with allele, genotype and dominant models with and without crude odds ratios (OR's) and Multiple logistic regression analysis (p < 0.05). Correlation between lipid profile and genotypes has confirmed the significant relation between triglycerides and rs646218 and rs1105364 6polymorphisms. However, rs11053646 polymorphism was correlated with HDLC (p = 0.04). Genotypes were examined in both males' vs. males and females' vs. females in cases and control and we concluded that in rs11053646 polymorphisms with male subjects compared between cases and controls found to be associated with dominant model heterozygote genotypes (p < 0.05).

conclusionThe results of the current study confirmed the

Indexed as

Genome-wide association studiesMeta-analysis studiesSaudi populationStroke

Identifiers

PMID29379361
PMCPMC5775098
OpenAlexW2747717975

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.