Al‐Sharshani, Dalal, Velayutham, Dinesh, Samara, Muthanna, Gazal, Reham, Al Haj Zen, Ayman, Ismail, Mohamed A., Ahmed, Mahmoud, Nasrallah, Gheyath, Younes, Salma, Rizk, Nasser, Hammuda, Sara, Qoronfleh, M. Walid, Farrell, Thomas, Zayed, Hatem, Abdulrouf, Palli Valapila, AlDweik, Manar, Silang, John Paul Ben, Rahhal, Alaa, Al‐Jurf, Rana, Mahfouz, Ahmed, Salam, Amar, Al Rifai, Hilal and Al-Dewik, Nader I. (2023) Association of single nucleotide polymorphisms with dyslipidemia and risk of metabolic disorders in the State of Qatar. Molecular Genetics & Genomic Medicine, e2178. ISSN (online) 2324-9269 (Epub Ahead of Print)
Abstract
Background: Dyslipidemia is recognized as one of the risk factors of cardiovascular diseases (CVDs), type 2 diabetes mellitus (T2DM), and non-alcoholic fatty liver disease (NAFLD). Objective: The study aimed to investigate the association between selected single nucleotide polymorphisms (SNPs) with dyslipidemia and increased susceptibility risks of CVD, NAFLD, and/or T2DM in dyslipidemia patients in comparison with healthy control individuals from the Qatar genome project. Methods: A community-based cross-sectional study was conducted among 2933 adults (859 dyslipidemia patients and 2074 healthy control individuals) from April to December 2021 to investigate the association between 331 selected SNPs with dyslipidemia and increased susceptibility risks of CVD, NAFLD and/or T2DM, and covariates. Results: The genotypic frequencies of six SNPs were found to be significantly different in dyslipidemia patients subjects compared to the control group among males and females. In males, three SNPs were found to be significant, the rs11172113 in over-dominant model, the rs646776 in recessive and over-dominant models, and the rs1111875 in dominant model. On the other hand, two SNPs were found to be significant in females, including rs2954029 in recessive model, and rs1801251 in dominant and recessive models. The rs17514846 SNP was found for dominant and over-dominant models among males and only the dominant model for females. We found that the six SNPs linked to gender type had an influence in relation to disease susceptibility. When controlling for the four covariates (gender, obesity, hypertension, and diabetes), the difference between dyslipidemia and the control group remained significant for the six variants. Finally, males were three times more likely to have dyslipidemia in comparison with females, hypertension was two times more likely to be present in the dyslipidemia group, and diabetes was six times more likely to be in the dyslipidemia group. Conclusion: The current investigation provides evidence of association for a common SNP to coronary heart disease and suggests a sex-dependent effect and encourage potential therapeutic applications. Keywords: Qatar genome project (QGP); cardiovascular disease (CVD); coronary artery disease (CAD); diabetes; dyslipidemia; hypertension; metabolic; non-alcoholic fatty liver disease (NAFLD); single nucleotide polymorphism (SNP). © 2023 The Authors. Molecular Genetics & Genomic Medicine published by Wiley Periodicals LLC.
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