Relationship between single nucleotide polymorphism studies in ghrelin gene with obesity subjects
Background: Obesity is one of the hereditary metabolic conditions that have been recognized in humans which is associated with visceral fat. Ghrelin (GHRL) is mainly linked to obesity as lipid metabolism. The rs626917, rs34911341 and rs20755356 single nucleotide polymorphisms (SNP) were extensively...
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| Format: | Article |
| Language: | English |
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Elsevier
2023-01-01
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| Series: | Journal of King Saud University: Science |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1018364722005742 |
| _version_ | 1811295474498404352 |
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| author | May Salem Al-Nbaheen |
| author_facet | May Salem Al-Nbaheen |
| author_sort | May Salem Al-Nbaheen |
| collection | DOAJ |
| description | Background: Obesity is one of the hereditary metabolic conditions that have been recognized in humans which is associated with visceral fat. Ghrelin (GHRL) is mainly linked to obesity as lipid metabolism. The rs626917, rs34911341 and rs20755356 single nucleotide polymorphisms (SNP) were extensively investigated in multiple human diseases including obesity. There are no studies were studied in the Saudi population with GHRL gene and obesity and the current study was aimed to investigate the genetic association between rs626917, rs34911341 and rs20755356 SNPs in GHRL gene in obesity population. Methodology: Ninety patients with obesity and ninety healthy individuals served as controls in this case-control study. Genomic DNA was extracted from the collected EDTA blood and genotyping was performed with qPCR analysis using VIC and FAM probes. Clinical and biochemical data was collected from 180 subjects and statistical analysis was performed using SPSS software (25th Version, USA). Results: Age, weight, BMI, WC, SBP, DBP, HDLC, and TG levels all showed statistical significance with obesity (p < 0.05) when compared with controls. Genotype analysis in rs696217 SNP confirmed no association in allele, genotypes or any other forms of genetic models. A positive association was observed in both rs34911341 and rs2075356 SNPs (p < 0.05). The Anova analysis confirmed the significant association with weight, BMI and SBP in rs696217 SNP, weight and BMI in rs34911341 SNP and SBP in rs2075356 SNP in GHRL gene (p = 0.01). Conclusion: This study confirms the significant association with rs34911341 and rs20755356 SNPs was associated with obesity in the Saudi population. |
| first_indexed | 2024-04-13T05:33:57Z |
| format | Article |
| id | doaj.art-6a028e244c6247eb8532ee5194303926 |
| institution | Directory Open Access Journal |
| issn | 1018-3647 |
| language | English |
| last_indexed | 2024-04-13T05:33:57Z |
| publishDate | 2023-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of King Saud University: Science |
| spelling | doaj.art-6a028e244c6247eb8532ee51943039262022-12-22T03:00:21ZengElsevierJournal of King Saud University: Science1018-36472023-01-01351102393Relationship between single nucleotide polymorphism studies in ghrelin gene with obesity subjectsMay Salem Al-Nbaheen0College of Science, Saudi Electronic University, Riyadh, Saudi ArabiaBackground: Obesity is one of the hereditary metabolic conditions that have been recognized in humans which is associated with visceral fat. Ghrelin (GHRL) is mainly linked to obesity as lipid metabolism. The rs626917, rs34911341 and rs20755356 single nucleotide polymorphisms (SNP) were extensively investigated in multiple human diseases including obesity. There are no studies were studied in the Saudi population with GHRL gene and obesity and the current study was aimed to investigate the genetic association between rs626917, rs34911341 and rs20755356 SNPs in GHRL gene in obesity population. Methodology: Ninety patients with obesity and ninety healthy individuals served as controls in this case-control study. Genomic DNA was extracted from the collected EDTA blood and genotyping was performed with qPCR analysis using VIC and FAM probes. Clinical and biochemical data was collected from 180 subjects and statistical analysis was performed using SPSS software (25th Version, USA). Results: Age, weight, BMI, WC, SBP, DBP, HDLC, and TG levels all showed statistical significance with obesity (p < 0.05) when compared with controls. Genotype analysis in rs696217 SNP confirmed no association in allele, genotypes or any other forms of genetic models. A positive association was observed in both rs34911341 and rs2075356 SNPs (p < 0.05). The Anova analysis confirmed the significant association with weight, BMI and SBP in rs696217 SNP, weight and BMI in rs34911341 SNP and SBP in rs2075356 SNP in GHRL gene (p = 0.01). Conclusion: This study confirms the significant association with rs34911341 and rs20755356 SNPs was associated with obesity in the Saudi population.http://www.sciencedirect.com/science/article/pii/S1018364722005742Ghrelin (GHRL) geneObesityrs696217rs34911341rs20755356 |
| spellingShingle | May Salem Al-Nbaheen Relationship between single nucleotide polymorphism studies in ghrelin gene with obesity subjects Journal of King Saud University: Science Ghrelin (GHRL) gene Obesity rs696217 rs34911341 rs20755356 |
| title | Relationship between single nucleotide polymorphism studies in ghrelin gene with obesity subjects |
| title_full | Relationship between single nucleotide polymorphism studies in ghrelin gene with obesity subjects |
| title_fullStr | Relationship between single nucleotide polymorphism studies in ghrelin gene with obesity subjects |
| title_full_unstemmed | Relationship between single nucleotide polymorphism studies in ghrelin gene with obesity subjects |
| title_short | Relationship between single nucleotide polymorphism studies in ghrelin gene with obesity subjects |
| title_sort | relationship between single nucleotide polymorphism studies in ghrelin gene with obesity subjects |
| topic | Ghrelin (GHRL) gene Obesity rs696217 rs34911341 rs20755356 |
| url | http://www.sciencedirect.com/science/article/pii/S1018364722005742 |
| work_keys_str_mv | AT maysalemalnbaheen relationshipbetweensinglenucleotidepolymorphismstudiesinghrelingenewithobesitysubjects |