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

Joint Authors

Khan, Umran Ali
al-Harbi, Khalid Khalaf
al-Utaybi, Muhammad Abd Allah
al-Uwayyid, Abd Allah Suud
al-Bashir, Hayfa Abd al-Aziz
al-Ghamidi, Nailah Abd Allah
al-Baradii, Raid Salim
al-Sulayman, A. M.

Source

Saudi Journal of Biological Sciences

Issue

Vol. 25, Issue 1 (31 Jan. 2018), pp.83-89, 7 p.

Publisher

Saudi Biological Society

Publication Date

2018-01-31

Country of Publication

Saudi Arabia

No. of Pages

7

Main Subjects

Natural & Life Sciences (Multidisciplinary)

Abstract EN

Introduction : Stroke 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 genomewide 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.

Methods: In 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 (SORT1-rs646218 and OLR1-rs11053646 polymorphisms) and PCR-RFLP will be performed and randomly DNA sequencing will be carried out to cross check the results.

Results: The 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).

Conclusion: The results of the current study confirmed the SORT1 and OLR1 SNPs were associated in the Saudi population.

The current results were in the association with the prior study results documented through GWAS and meta-analysis association.

However, other ethnic population studies should be performed to rule out in the human hereditary diseases.

American Psychological Association (APA)

al-Harbi, Khalid Khalaf& Khan, Umran Ali& al-Utaybi, Muhammad Abd Allah& al-Uwayyid, Abd Allah Suud& al-Bashir, Hayfa Abd al-Aziz& al-Ghamidi, Nailah Abd Allah…[et al.]. 2018. Molecular genetic studies in Saudi population : identified variants from GWAS and meta-analysis in stroke. Saudi Journal of Biological Sciences،Vol. 25, no. 1, pp.83-89.
https://search.emarefa.net/detail/BIM-780538

Modern Language Association (MLA)

al-Harbi, Khalid Khalaf…[et al.]. Molecular genetic studies in Saudi population : identified variants from GWAS and meta-analysis in stroke. Saudi Journal of Biological Sciences Vol. 25, no. 1 (Jan. 2018), pp.83-89.
https://search.emarefa.net/detail/BIM-780538

American Medical Association (AMA)

al-Harbi, Khalid Khalaf& Khan, Umran Ali& al-Utaybi, Muhammad Abd Allah& al-Uwayyid, Abd Allah Suud& al-Bashir, Hayfa Abd al-Aziz& al-Ghamidi, Nailah Abd Allah…[et al.]. Molecular genetic studies in Saudi population : identified variants from GWAS and meta-analysis in stroke. Saudi Journal of Biological Sciences. 2018. Vol. 25, no. 1, pp.83-89.
https://search.emarefa.net/detail/BIM-780538

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 88-89

Record ID

BIM-780538