ArticleAdvanced biomedical research2018
Association of Polymorphism in Fatty Acid Desaturase Gene with the Risk of Type 2 Diabetes in Iranian Population.
Article in Advanced biomedical research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 14 citations in OpenAlex.
- Bayesian network imputation methods applied to multi-omics data identify putative causal relationships in a type 2 diabetes dataset containing incomplete data: An IMI DIRECT Study.PLoS genetics · 2025Article
- Effect of Fatty Acids on Glucose Metabolism and Type 2 Diabetes.Nutrition reviews · 2025Review
- Fatty acid desaturase genetic variations in heart failure and cardiovascular disease.American heart journal plus : cardiology research and practice · 2025Review
- The roles of dietary lipids and lipidomics in gut-brain axis in type 2 diabetes mellitus.Journal of translational medicine · 2023Review
- Article
- Single-nucleotide polymorphisms as important risk factors of diabetes among Middle East population.Human genomics · 2022Review
- Fatty acids and their role in type-2 diabetes (Review).Experimental and therapeutic medicine · 2021Review
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe type 2 diabetes is one of the most common autoimmune diseases. Due to a key role in the metabolism of unsaturated fatty acids such as arachidonic acid, one of the most important precursors of immunity mediators, fatty acid desaturase (FADS) genes could have an important impact in the development of type 2 diabetes. MATERIALS AND
methodsThis study aimed to determine the relationship between polymorphisms rs174537 in FADS1 gene and rs174575 in FADS2 gene with type 2 diabetes in Iranian population. After extracting genomic DNA, the locations of mutations and allele types were identified with high-resolution melting (HRM)-polymerase chain reaction method. Then, association between these mutations with metabolic syndrome, dyslipidemia, and type 2 diabetes was investigated using χ
resultsThe results showed that among 50 diabetic participants, 68% of patients have the mutant allele for rs174537 in FADS1 gene. This rate is 26% for rs174575 in FADS2 gene. Based on the results, it seems that participants having rs174537 mutant allele are more prone to become diabetic but it has a beneficial effect on total and low-density lipoprotein cholesterol and participants having rs174575 mutant are less prone to become diabetic, and also, it leads to higher triglycerides and body mass index (obesity).
conclusionsDetecting FADS1 and FADS2, gene polymorphisms using HRM can be an anticipating tool for making decision on initiating lifestyle modifications to prevent type 2 diabetes.
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