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Lipids Health Dis. 2018 Apr 19;17(1):89. doi: 10.1186/s12944-018-0736-2.

GWAS implicated risk variants in different genes contribute additively to increase the risk of coronary artery disease (CAD) in the Pakistani subjects.

Author information

1
Department of Microbiology and Molecular Genetics, University of the Punjab, Lahore, Pakistan.
2
Department of Microbiology and Molecular Genetics, University of the Punjab, Lahore, Pakistan. shabana.mmg@pu.edu.pk.
3
Center for Cardiovascular Genetics, British Heart Foundation Laboratories, University College London, London, UK.

Abstract

BACKGROUND:

Coronary artery disease (CAD) remains the single most important cause of mortality worldwide. Many candidate and GWAS genetic variants have been identified in the recent years. In the current study, we selected six SNPs from various genes that have originally been identified in GWAS studies and examined the association of SNPs individually and as a genetic risk score (GRS) with CAD and blood lipid levels in the Pakistani subjects.

METHODS:

Six hundred twenty-four (404 cases and 219 controls) subjects were genotyped for variants rs10757274 in CDKN2A gene, rs17465637 in MIA3 gene, rs7025486 in DAB2IP gene, rs17228212 in SMAD3 gene, rs981887 in MRAS gene and rs1746048 in CXCL12 gene, by TaqMan and KASPar allele discrimination techniques. Serum lipid parameters were measured using commercially available kits. Statistical analyses were done using SPSS version 22.

RESULTS:

Individually, the single SNPs were not associated with CAD (p < 0.05). However, the combined GRS of 6 SNPs was significantly higher in cases than controls (4.89 ± 0.11 vs 4.58 ± 0.08, p = 0.024). Among blood lipids, GRS showed significant positive association with serum triglycerides levels (p = 0.022).

CONCLUSION:

The GRS was quantitatively associated with CAD risk and showed association with serum triglycerides levels, suggesting that the mechanism of these variants is likely to be in part at least through creating an atherogenic lipid profile in subjects carrying high numbers of risk alleles.

KEYWORDS:

Allele discrimination techniques; Coronary artery disease; Genetic risk score

PMID:
29673405
PMCID:
PMC5909255
DOI:
10.1186/s12944-018-0736-2
[Indexed for MEDLINE]
Free PMC Article

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