Purpose: The present study was designed to investigate the associations of ENPP1 variants (rs997509, rs1799774, rs1044498 (K121Q), and rs7754561) with diabetic retinopathy (DR) derived from type 2 diabetes mellitus (T2DM).

Methods: Total 501 T2DM patients with and without DR were studied as the case and control group, respectively. All four variants were genotyped by TaqMan assay. Statistical analyses were performed through SNPAlyze and SPSS software.

Results: The statistical analysis of clinical characteristics represented significant differences of HbA1c, and fasting blood sugar between two study groups. The results indicated that among four studied variants, rs997509 and rs7754561 were significantly associated with DR under recessive (P = 0.01) and dominant (P = 0.01) models of inheritance, respectively. One haplotype (T-A-T-A) with a frequency higher than 0.05 was associated with the increased risk of DR (P = 0.04). Genotype-phenotype sub-analysis of rs997509 and rs7754561 showed that only rs7754561 had significant associations with systolic and diastolic blood pressures (P = 0.03 and P = 0.01, respectively); more specifically, A allele carriers of rs7754561 were in a higher risk of blood pressures.

Conclusions: This study suggested that rs997509 and rs7754561 were associated with the increased risk of DR among Iranians with T2DM and rs7754561 might be a potential genetic marker for prognosis and diagnosis of DR.

Download full-text PDF

Source
http://dx.doi.org/10.1007/s10792-019-01224-3DOI Listing

Publication Analysis

Top Keywords

rs997509 rs7754561
12
variants rs997509
8
rs7754561 associated
8
associated increased
8
increased risk
8
rs7754561
7
single locus
4
locus haplotype
4
haplotype association
4
association enpp1
4

Similar Publications

Genetic factors are known to play a significant role in the susceptibility of diabetic patients to severe complications such as diabetic nephropathy (DN). This study aimed to evaluate the association between polymorphism of ectonucleotide pyrophosphatase/phosphodiesterase 1 (ENPP1) variants (rs997509, K121Q, rs1799774, and rs7754561) and DN in patients with type 2 diabetes mellitus (T2DM). A total number of 492 patients with T2DM with and without DN were categorized into case and control groups.

View Article and Find Full Text PDF

Purpose: The present study was designed to investigate the associations of ENPP1 variants (rs997509, rs1799774, rs1044498 (K121Q), and rs7754561) with diabetic retinopathy (DR) derived from type 2 diabetes mellitus (T2DM).

Methods: Total 501 T2DM patients with and without DR were studied as the case and control group, respectively. All four variants were genotyped by TaqMan assay.

View Article and Find Full Text PDF

In the current study, a sample population of Northern Iranians was selected to investigate the association of K121Q, rs1799774, rs7754561, and rs997509 ENPP1 gene variants and their haplotypes with T2DM. Genomic DNAs of 978 samples were extracted by Salting Out standard technique and then genotyped by the TaqMan assay. The results show significant differences between study groups for K121Q (p = 0.

View Article and Find Full Text PDF

Gender differences in the relationship of ENPP1/PC-1 variants to obesity in a Turkish population.

Obesity (Silver Spring)

November 2008

Department of Medicine and Diabetes Center, University of California, San Francisco/Mt. Zion Medical Center, San Francisco, California, USA.

The ectoenzyme ENPP1 (also termed membrane glycoprotein PC-1 or ENPP1/PC-1) is an inhibitor of insulin-induced activation of the insulin receptor. There is evidence from previous studies that coding variants of ENPP1/PC-1 (K121Q) are associated with type 2 diabetes (T2D) and obesity. Studies in the general Turkish population have demonstrated: unique plasma lipid characteristics, a high prevalence of cardiovascular risk factors, and an increased prevalence of obesity and T2D.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!