This meta-analysis was designed to investigate the relationship between genetic polymorphisms (AGT rs699, AMPD1 rs17602729, HIF1α rs11549465, IL-6 rs1800795) and power athletes' status. Only case-control studies were included in the meta-analysis. A systematic search of the PubMed and Web of Science databases was performed to identify relevant studies and 23 studies met the inclusion criteria for the meta-analysis. The data from the included studies were pooled and analyzed using a random effects or fix effects model. The effect size was calculated as the odds ratio or a risk ratio with 95% confidence intervals. The results showed that certain genetic polymorphisms, AGT rs699 Thr allele, HIF1A rs11549465 Ser allele and AMPD1 rs17602729 C allele, were significantly more prevalent in power athletes (p < 0.05). When examining the genotype frequency distribution of AGT rs699 and AMPD1 rs17602729, significant differences were found in both the dominant and recessive models (p < 0.05). The results indicate that these gene polymorphisms play a role in power athlete status, however, new and more comprehensive studies are needed to confirm these results.
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http://dx.doi.org/10.5114/jhk/169262 | DOI Listing |
An Acad Bras Cienc
December 2024
Universidade Federal de Pernambuco, Departamento de Medicina Tropical, Av. Prof. Moraes Rego, s/n, Cidade Universitária, 50670-420 Recife, PE, Brazil.
The COVID-19 pandemic has been the largest pandemic of the past century, and various genetic factors have played a significant role in this context. This study aimed to analyze the frequency and association between specific SNPs rs3806268 (NLRP3), rs4925543 (NLRP3), rs12150220 (NLRP1), rs455060 (NLRC4), rs699 (AGT), rs1137101 (LEPR), and rs1801133 (MTHFR) and severe/critical outcomes in Brazilian patients with COVID-19. A total of 100 patients were included in the study, comprising 66 cases and 34 controls.
View Article and Find Full Text PDFCurr Issues Mol Biol
November 2024
Department of Nutritional Sciences, Texas Tech University (TTU), Lubbock, TX 79409, USA.
Single nucleotide polymorphisms (SNPs) have been associated with the development of cardiovascular diseases (CVDs). This study correlated eight SNPs with the risk factors of CVD in a black elderly population. Genotyping was used to detect eight polymorphisms; rs675 (ApoA-IV), rs699 (Angiotensinogen (AGT)), rs247616 and rs1968905 (Cholesteryl ester transfer protein (CETP)), rs1801278 (Insulin receptor substrate 1 (IRS-1)), rs1805087 (Methylenetetrahydrofolate reductase (MTHFR)) and rs28362286 and rs67608943 (Proprotein convertase subtilisin/kexin type 9 (PCSK9)), as well as their genotypes in deoxyribonucleic acid (DNA) extracted from peripheral blood.
View Article and Find Full Text PDFWiad Lek
November 2024
DEPARTMENT OF PHARMACOLOGY AND THERAPEUTICS, COLLEGE OF MEDICINE, UNIVERSITY OF AL-QADISIYAH, AL-QADISIYAH, IRAQ.
Objective: Aim: The main aim of the present paper is to investigate allele frequencies of rs1799983 polymorphism eNOS genes and to determine association between rs1799983 polymorphism of eNOS gene and essential hypertension in Iraqi hypertensive patients.
Patients And Methods: Materials and Methods: Data obtained at the Al-Diwaniyah teaching hospital in Iraq by researchers from the Department of Pharmacology and Therapeutics in the College of Medicine at University of Al-Qadisiyah from July 2022 to July 2023. All participants (aged 20 to 70) had been taking valsartan 160 mg once day for essential hypertension for at least two weeks before to the study.
J Biol Methods
September 2024
Institute of Health Sciences, Ordu University, Ordu, Turkey.
Indian J Med Res
June 2024
Faculty of Medicine & Health Sciences, UCSI University, UCSI Hospital, Negeri Sembilan, Malaysia.
Background & objectives The results of the genetic association studies between the selected candidate genes and hypertension (HT) contradicted across different populations. Majority of the meta-analyses carried out did not consider population genetic ancestry as a confounding factor. Therefore, this meta-analysis attempted to consolidate and re-evaluate the findings of the association between the selected candidate variants (AGT-rs699, CYP11B2-rs1799998, ADRB2-rs1042713 and rs1042714) and HT, by categorizing the genotyping data based on known genetic ancestry, and/or major geographical populations.
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