Milk protein genetic polymorphisms are associated with economically important traits in dairy cattle. The objective of this study is to genotype a single nucleotide polymorphism (SNP) responsible for the amino acid changes in the beta-lactoglobulin (β-Lg) variants A and B on 85 unrelated DNA representing Algerian cattle populations: Chelifienne (28), Cheurfa (31) and Guelmoise (26). The method used is the PCR-RFLP (Polymerase Chain Reaction-Restriction Fragment Length Polymorphism). Genetic polymorphism was detected by digestion of PCR products amplified of exon II of β-Lg gene by with the endonuclease HaeIII enzyme. The results revealed that the amplified product was observed as 247 bp. Restriction digestion with HaeIII revealed three genotypes: AA, AB and BB. The genotypic frequencies of AA, AB and BB genotypes were 0.08, 0.41, 0.50; 0.08, 0.41, 0.50 and 0.01, 0.19, 0.56 in Chelifienne, Cheurfa and Guelmoise and respectively. Frequency of AA genotype was absent in Guelmoise population. Frequencies of A and B alleles were 0.29 and 0.71 in both Chelifienne and Cheurfa and 0.25 and 0.75 Guelmoise population. These results further confirm that Bos torus cattle are predominantly of β-Lactoglobulin B type. The Chi-square test at p-value < 0.05 results revealed that the Chelifienne and Cheurfa populations were in Hardy-Weinberg equilibrium and the results are not significant for the Guelmoise. This genetic information could be useful to estimate the effect of polymorphism on different milk production of Algerian bovine populations.

Background: Prostaglandin-endoperoxide synthase 2, recognized as cyclooxygenase 2 (COX-2), is an important enzyme contributing to the generation of proinflammatory prostaglandins. It can play a role in increased tumor angiogenesis, apoptosis inhibition, metastasis, and invasion of tumors. Single nucleotide polymorphisms (SNPs) of the COX-2 promoter may associate with the cancer predisposition. In the present work, we aimed to explore whether SNPs of COX-2 gene affect both the risk of development and grade of bladder cancer.Method: This case-control study was performed and the genetic polymorphisms of six COX-2 SNPs including, intron 1 (rs2745557), intron 5 (rs16825748), intron 6 (rs2066826), T+8473C (rs5275), G-765 (rs20417), and A-1195G (rs68946) were genotyped in 80 healthy controls and 80 bladder cancer patients using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP). To select independent prognostic factors, the univariate and multivariate analyses were implemented.Results: Univariate logistic regression model indicated a significant association between COX-2 765G>C heterozygous GC genotype and greater risk of bladder cancer (OR: 2.07; 95% CI: 1.03 - 4.15; P = 0.04). However, the multivariate logistic regression analysis showed no associations between COX-2 variants and bladder cancer development.Conclusion: We concluded that COX-2 polymorphisms do not contribute to the genetic susceptibility to urothelial bladder cancer in an Iranian population. However, the only genotype in which the frequency of alleles significantly differed between the two groups of high-grade tumors and low-grade tumors was COX-2 8473T> C (rs5275). Moreover, our findings showed that both smoking and family history of cancer play a role in susceptibility to bladder cancer.

Background: The aim of this study was to investigate the association between thyroid cancer and 16C/A single nucleotide polymorphism (SNP) in C-C motif chemokine 22 (CCL22) as well as 1014C/T SNP in C-C chemokine receptor type 4 (CCR4).Method: In this case-control study, polymerase chain reaction restriction-fragment length polymorphism (PCR-RFLP) was performed for 113 thyroid cancer patients and 112 age-sex matched healthy controls to investigate the genotype distribution.Results: At position 16C/A in CCL22, 95 patients (84.3%) were found to have CC genotype, while 17 individuals (14.8%) inherited CA genotype and 1 (0.9%) had AA genotype. In the control group, 92 volunteers (82.1%) inherited CC genotype, 18 individuals (16.1%) had CA genotype, and 2 (1.8%) had AA genotype. The frequency of CC, CT, and TT genotypes of 1014C/T SNP in CCR4 gene was 60 (53.1%), 43 (38.1%), and 10 (8.8%) in the patients, and 57 (53.3%), 43 (40.2%), and 7 (6.5%) in the control group, respectively. There were no statistically significant differences between the patients and controls in terms of 16C/A polymorphism in CCL22 (P = 0.816) and 1014C/T SNP in CCR4 1014C/T gene position (P = 0.801). Nevertheless, the study of their association indicated that inheriting the CC genotype of CCR4 was significantly associated with higher stages (stages 3 and 4) in thyroid cancer.Conclusion: 1014C/T genetic variation in CCR4 and 16C/A polymorphism in CCL22 were not found to have a role in genetic susceptibility to thyroid cancer. Inheriting CC genotype at 1014 locus in CCR4 may; however, affect cancer progression in patients with thyroid cancer.

Background: Cardiovascular diseases (CVDs) are recognized as one of the leading causes of death worldwide. Studies have shown the impact of genetic predisposition and dietary factors on developing these diseases. Dietary patterns and genetic factors such as polymorphisms related to the level of adiponectin may also interact with each other and produce variances in the effects of these factors on different individuals. The purpose of this study is to investigate the interactions between food intake patterns and polymorphisms on ADIPOQ and ARL15 genes in relation to cardiometabolic risk factors. Methods: This cross‑, sectional study is conducted on 380 adults (20 to 70 years old) living in Yazd, Iran. Individuals were selected from the participants in Yazd Health Study (YaHS) and its sub‑, study called Taghziyeh Mardom‑, e Yazd (TAMYZ) after reviewing the inclusion and exclusion criteria. YaHS is a population‑, based cohort study which has been conducted on 9962 adults living in Yazd since 2014. In the present study, rotated principle component analysis (PCA) with Varimax rotation is used to identify the major dietary patterns. The polymerase chain reaction‑, restricted fragment length polymorphism (PCR‑, RFLP) method is used in order to identify rs1501299 and rs6450176 variants (on ADIPOQ and ARL15 genes, respectively). General linear models (GLM) as well as regression models are used to investigate the interactions between the studied genotypes and the extracted dietary patterns. Conclusions: The results of this study can help to personalize dietary recommendations for the prevention of CVDs according to the genetic predisposition of individuals.