HLA pharmacogenetic markers of drug hypersensitivity from the perspective of the populations of the Greater Middle East

Specific HLA associations with drug hypersensitivity may vary between geographic regions and ethnic groups. There are little to no data related to HLA-drug hypersensitivity on populations who reside in the Greater Middle East (GME), a vast region spanning from Morocco in the west to Pakistan in the east. In this review, the authors intended to summarize the significant HLA alleles associated with hypersensitive drug reactions induced by different drugs, as have been found in different populations, and to summarize the prevalence of these alleles in the specific and diverse populations of the GME. For example, HLA-B * 57:01 allele prevalence, associated with abacavir-induced hypersensitivity, ranges from 1 % to 3 %, and HLA-DPB1 * 03:01 prevalence, associated with aspirin-induced asthma, ranges from 10 % to 14 % in the GME population. Studying pharmacogenomic associations in the ethnic groups of the GME may allow the discovery of new associations, confirm ones found with a low evidence rate and enable cost-effectiveness analysis of allele screening before drug use

Analysis of SARS-CoV-2 viral loads in stool samples and nasopharyngeal swabs from COVID-19 patients in the United Arab Emirates

Coronavirus disease 2019 (COVID-19) was first identified in respiratory samples and was found to commonly cause cough and pneumonia. However, non-respiratory symptoms including gastrointestinal disorders are also present and a big proportion of patients test positive for the virus in stools for a prolonged period. In this cross-sectional study, we investigated viral load trends in stools and nasopharyngeal swabs and their correlation with multiple demographic and clinical factors. The study included 211 laboratory-confirmed cases suffering from a mild form of the disease and completing their isolation period at a non-hospital center in the United Arab Emirates. Demographic and clinical information was collected by standardized questionnaire and from the medical records of the patient. Of the 211 participants, 25 % tested negative in both sample types at the time of this study and 53 % of the remaining patients had detectable viral RNA in their stools. A positive fecal viral test was associated with male gender, diarrhea as a symptom, and hospitalization during infection. A positive correlation was also observed between a delayed onset of symptoms and a positive stool test. Viral load in stools positively correlated with, being overweight, exercising, taking antibiotics in the last 3 months and blood type O. The viral load in nasopharyngeal swabs, on the other hand, was higher for blood type A, and rhesus positive (Rh factor). Regression analysis showed no correlation between the viral loads measured in stool and nasopharyngeal samples in any given patient. The results of this work highlight the factors associated with a higher viral count in each sample. It also shows the importance of stool sample analysis for the follow-up and diagnosis of recovering COVID-19 patients

Advancement in human face prediction using DNA

The rapid improvements in identifying the genetic factors contributing to facial morphology have enabled the early identification of craniofacial syndromes. Similarly, this technology can be vital in forensic cases involving human identification from biological traces or human remains, especially when reference samples are not available in the deoxyribose nucleic acid (DNA) database. This review summarizes the currently used methods for predicting human phenotypes such as age, ancestry, pigmentation, and facial features based on genetic variations. To identify the facial features affected by DNA, various two-dimensional (2D)- and three-dimensional (3D)-scanning techniques and analysis tools are reviewed. A comparison between the scanning technologies is also presented in this review. Face-landmarking techniques and face-phenotyping algorithms are discussed in chronological order. Then, the latest approaches in genetic to 3D face shape analysis are emphasized. A systematic review of the current markers that passed the threshold of a genome-wide association (GWAS) of single nucleotide polymorphism (SNP)-face traits from the GWAS Catalog is also provided using the preferred reporting items for systematic reviews and meta-analyses (PRISMA), approach. Finally, the current challenges in forensic DNA phenotyping are analyzed and discussed

Association between type 2 diabetes mellitus TCF7L2 gene variants in the Emirati population: Genetics of diabetes in the United Arab Emirates

© 2020 Wiley Periodicals, Inc. Objective: Type 2 diabetes mellitus (T2DM) has a multifactorial etiology involving a complex interplay between genes and the environment. The prevalence of T2DM among the countries of the Gulf Corporation Council (GCC), including the United Arab Emirates (UAE), ranks among the top 15 in the world. A number of studies have shown an increase in T2DM risk for the “TT” genotype at the rs4506565 and rs12255372 Single Nucleotide Polymorphisms (SNP) of the TCF7L2 gene. However, the association between TCF7L2 and T2DM still needs to be investigated in the UAE population. Therefore, this study analyzed the potential associations with rs4506565 and rs12255372 in UAE subjects. Methods: For this case-control study, T2DM patients (n = 890) and healthy subjects (n = 686) were genotyped using a Taqman Real-Time PCR assay. Statistical analysis was performed with the resulting data using the R (version 3.3.1) and STATA (version 13) software packages. Results: The rs12255372 SNP was significantly associated with T2DM (OR = 1.16, 95% CI = 1.00-1.34; P =.042). However, no significant association was found for the rs4506565 SNP (P =.120). After gender stratification, a significant association was found for both SNPs in males (Prs4506565 =.009 and Prs12255372 =.021). Interestingly, we found the interaction between the SNP rs4506565 with gender alone (P =.032) and in conjunction with BMI and age (P =.036) confers associations with T2DM. Conclusions: These findings suggest that the genetic variants of the TCF7L2 gene are associated with an increased susceptibility to T2DM, especially in Emirati males. Our study also highlights the impact of biological and environmental risk factors including age, BMI, and gender on the genetic susceptibility to T2DM