The present study was designed to measure the mean values of body mass index (BMI), random blood sugar/ fast ing blood sugar (RBS/FBS) tests, and Hb A 1c and to investigate the role of a genetic variant rs1544410 in the VDR gene in a Pakistani cohort. For this purpose, a total of 917 samples including 469 diabetes mellitus type 2 (T2DM), 145 DM type 1 (T1DM), and 303 healthy control were collected. Out of the total sample set, 500 individuals (250 T2DM cases and 250 controls) were genotyped for rs1544410. It was found that 65 (26.0%) cases and 32 (12.8%) controls had homozygous AA, while 69 (27.6%) cases and 139 (55.6%) controls had heterozygous AG, and 116 (46.4%) cases and 79 (31.6%) controls had homozygous GG (χ 2 = 41.81, p = 0.0001). In addition, a similar distribution of allele frequency was determined in cases and controls [p value = 0.866; odds ratio (OR) = 0.967; relative risk (RR) = 1.034]. A significant difference was observed in homozygous dominant [OR = 2.394 (1.501-3.816); RR = 1.46 (1.225-1.740); p = 0.003] and homozygous recessive models [OR = 2.970 (2.086-4.227); RR = 1.798 (1.501-2.154); p = <0.0001] analysis of rs1544410 in the VDR gene. These findings suggest that the VDR gene is associated with T2DM and genotype GG of ge-netic variant rs1544410 is the susceptible genotype in our Pakistani cohort.
Rheumatoid arthritis (RA) is one of the complex diseases with the involvement of the genetic as well as environmental factors in its onset and severity. Different genome-wide association and candidate gene studies have shown the role of several genetic variants in multiple loci/genes with ethnical and geographical variations. This study was designed to detect the association of a single-nucleotide polymorphism (SNP) rs10865035 in the AFF3 gene with the genetic background of rheumatoid arthritis (RA) in the Pakistani cohort. A total of 703 individuals, including 409 RA patients and 294 healthy controls, were genotyped using TaqMan assay and Tri primer ARMS-PCR (amplification-refractory mutation system-polymerase chain reaction) methods. The association of rs10865035 with the RA was statistically determined using different models. Interestingly, besides the homozygous recessive model (G/G vs. A/G + A/A) (OR = 1.693(1.06–2.648); P = 0.025), all other models, which included the codominant (χ2 = 5.169; P = 0.075), homozygous dominant (A/A vs. G/G + A/G) (OR = 0.867 (0.636–1.187); P = 0.41), heterozygous (A/G vs. A/A + GG) (OR = 0.491 (0.667–1.215); P = 0.49), and additive model (OR = 0.826 (0.665–1.027); P = 0.08) showed insignificant distribution of the genotypes among the cases and controls. These findings suggest that the AFF3 gene (rs10865035) has no significant role in the onset of RA in the Pakistani population.
Introduction: MicroRNAs (miRNAs) are small non-coding RNAs that play a key role in post-transcriptional modulation of individual genes’ expression. Several miRNA variants from different populations are known to be associated with an increased risk of rheumatoid arthritis (RA). Aim: This study was undertaken with the aim to investigate the association of single nucleotide variants; namely, rs2292832, rs3746444, rs11614913, rs1044165, and rs767649 of MIR149, MIR499, MIR196, MIR223, and MIR155, respectively, with RA in the Pakistani population. Methods: A case-control study was performed by recruiting and genotyping a total of 600 individuals (300 cases and 300 controls) for these five variants using a TaqMan single-nucleotide polymorphism (SNP) genotyping assay. The resultant genotypic data was statistically analyzed through a chi-squared test for its association with RA under different inheritance models. Results: We found a significant association of rs2292832 with RA at genotypic (co-dominant (p < 0.0001), dominant (CC vs. TT + CT: OR 2.063 (1.437–2.962); p = 0.0001), recessive (TT vs. CT + CC: OR 0.376 (0.259–0.548); p < 0.0001)), and allelic (allele C) levels ((OR 0.506 (0.402–0637); p < 0.0001)). Similarly, the rs3746444 showed a significant association with RA under co-dominant (p = 0.0001), dominant (GG vs. AA + AG: OR 5.246 (3.414–8.061); p < 0.0001), recessive (AA vs. GG + AG: OR 0.653 (0.466–0.916); p = 0.014), and additive models (G vs. A; OR 0.779 (0.620–0.978); p = 0.03). However, we did not observe any significant association of rs11614913, rs1044165, or rs767649 with RA in our subjects. Conclusion: To our knowledge, this was the first study that investigated and found an association between functional polymorphisms in miRNAs and RA in the Pakistani population.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.