Results of allelic distribution comparisons and logistic regression analysis also supported the same relationship. illness. Introduction Dengue has become one of the most important arthropod-borne diseases in tropical and subtropical regions of the world. Approximately 100 million cases of dengue fever (DF) and 500,000 cases of dengue hemorrhagic fever (DHF), resulting in around 24,000 deaths, occur annually and an estimated 2.5C5 billion people are at risk of dengue virus infection.1,2 L-methionine It is caused by any of the four dengue serotypes (DENV-1CDENV-4) that are transmitted to humans through the bite of infective female mosquitoes of genus value of 0.05 being considered to be statistically significant. Comparisons were made between subclinical group and one or both groups of clinical infections to determine any association of FcRIIa H131R genotypes and clinical outcome TSPAN4 of dengue contamination by means of an odds ratio (OR), as exemplified in comparable studies.10,11 Logistic regression model was also generated to analyze the effect of FcRIIa H131R genotypes on disease severity in the presence of other biological covariates. All the statistical analyses were performed using the SPSS version 20 software, Armonk NY. Results Cohort summary. This study included 110 samples: 40 L-methionine with subclinical dengue contamination, 40 with DF, and 30 with severe form of dengue contamination (DHF/DSS). There were 59 males and 31 females among the study subjects with an age range from 1 to 24 years (mean standard deviation [SD] = 12.26 4.13 years). The cases and controls were ethnically matched as a group and all originated from Lahore District in Pakistan. The serotypes of the dengue computer virus were not decided, but all the samples were collected during the 2011 dengue outbreak in Lahore when the prevalent dengue serotypes circulating in Lahore were DENV-2 and DENV-3. Genotypic and allelic distribution of FcRIIa H131R polymorphism. The H (A) allele frequency for rs1801274 was estimated to be 48% (52% for the R (G) allele) in the overall populace. The distribution of FcRIIa H131R polymorphism did not differ significantly from the HardyCWeinberg equilibrium (2 = 2.4). The genotypic and allelic distributions for rs1801274 in each of the clinical groups were calculated to determine the associated risk for each genetic variant as summarized in Table 1. HH homozygotes and heterozygotes were significantly more likely to develop clinical dengue than the asymptomatic dengue contamination (OR = 3.21, 95% confidence interval [CI] = 1.29C7.97, = 0.009). This pattern was although relatively less pronounced for the DF group (OR = 2.82, 95% CI = 1.00C7.97, = 0.045), but it remained the same for DHF/DSS clinical group (OR = 3.90, 95% CI = 1.13C13.07, = 0.024). On the other hand, presence of RR genotype offered protection against the development of severe form of dengue contamination (OR = 0.25, 95% CI = L-methionine 0.07C0.87, = 0.024). Results of allelic distribution comparisons also supported the same idea where frequency of H allele was also found to be associated with significantly higher rates of clinical outcome compared with subclinical outcome of dengue contamination (OR = 2.08, 95% CI = 1.18C3.67, = 0.009). The same relationship did not hold true L-methionine exactly for DF subgroup (OR = 1.59, 95% CI = 0.84C2.99, = 0.14), however, comparing asymptomatic contamination to only severe dengue (DHF/DSS) also demonstrated the H allele-associated risk (OR = 3.03, 95% CI = 1.51C6.08, = 0.001) (Table 2). Table 1 Associations between rs1801274 genotypes and clinical outcome in dengue contamination = 0.041), by a factor of 2.69 when comparison is made between DF and subclinical infection (95% CI = 0.84C8.58, = 0.094), and by a factor of 3.05 when comparing DHF/DSS with subclinical infection (95% CI = 0.76C12.23, = 0.115). These results provide further support that in this populace the H allele of rs1801274 is usually associated with clinical contamination, even after accounting for other variables. Moreover, age was also associated with greater odds of clinical outcome of dengue contamination in all models; while conversely, males seemed to have greater odds of protection against developing clinical dengue contamination. Table 3 Logistic regression models of the odds of clinical compared with subclinical dengue.