Human Leukocyte Antigen Class I Genes Associated With Stevens-Johnson Syndrome and Severe Ocular Complications Following Use of Cold Medicine in a Brazilian Population.

Importance: Describing the association with human leukocyte antigen (HLA) alleles could facilitate the understanding of increased risk factors for development of Stevens-Johnson syndrome (SJS) and toxic epidermal necrolysis (TEN) in patients with severe ocular complications (SOCs). Objective: To investigate the association between HLA class I genes and cold medicine (CM)-associated SJS/TEN with SOCs. Design, Setting, and Participants: This case-control study was conducted between February 8, 2013, and August 29, 2014. Thirty-nine Brazilian patients with CM-SJS/TEN of 74 patients with SJS/TEN with SOCs and 133 healthy Brazilian volunteers were enrolled. Human leukocyte antigen class I genes (HLA-A, HLA-B, and HLA-C) were examined to determine whether there was a genetic predisposition for CM-SJS/TEN with SOC. Patients were interviewed to identify possible etiologic factors. Data analysis was performed from April 14, 2013, to August 29, 2014. Main Outcomes and Measures: Genetic predisposition for CM-SJS/TEN with SOCs by analysis of HLA class I genes. Results: Of 74 patients included in the analysis, 32 (43%) were male; mean (SD) age was 36.01 [15.42] years. HLA-A*66:01 (odds ratio [OR], 24.0; 95% CI, 2.79-206.0; P < .001), HLA-B*44:03 (OR, 2.71; 95% CI, 1.11-6.65; P = .04), and HLA-C*12:03 (OR, 5.6; 95% CI, 1.67-18.80; P = .006) were associated with Brazilian CM-SJS/TEN with SOCs, and HLA-A*11:01 (OR, 0.074; 95% CI, 0.004-1.26; P = .008), HLA-B*08:01 (OR, 0.15; 95% CI, 0.02-1.15; P = .048), and HLA-B*51:01 (OR, 0.23; 95% CI, 0.05-1.03; P = .045) were inversely associated with Brazilian CM-SJS/TEN with SOCs (39 cases: 19 Pardo and 16 European ancestry; 14 males and 25 females; age, 35.2 [14.4] years; and 133 controls: 66 Pardo and 61 European ancestry; 55 males and 78 females; age, 41.2 [12.9] years). When multiple test correction within the HLA locus, HLA-A*66:01 and HLA-C*12:03 demonstrated associations. When participants were segregated into Pardo and locus is considered, HLA-A*66:01 was associated with CM-SJS/TEN with SOC among individuals of both ethnic groups (Pardo: OR, 12.2; 95% CI, 1.19-125.0; P = .03; and European: OR, 21.2; 95% CI, 0.97-465.0; P = .04). An association was observed only in the European cohort for HLA-B*44:03 (OR, 5.50; 95% CI, 1.47-20.50; P = .01) and HLA-C*12:03 (OR, 8.79; 95% CI, 1.83-42.20; P = .008). Conclusions and Relevance: This study suggests that HLA-A*66:01 might be a marker for CM-SJS/TEN with SOCs in Brazilian individuals of Pardo and European ancestry and that HLA-B*44:03 and HLA-C*12:03 might be markers only in those of European ancestry. Moreover, HLA-A*11:01 might be a marker of resistance to CM-SJS/TEN with SOCs.

Genotype-Phenotype Correlations in CYP1B1-Associated Primary Congenital Glaucoma Patients Representing Two Large Cohorts from India and Brazil.

BACKGROUND: Primary congenital glaucoma (PCG), occurs due to the developmental defects in the trabecular meshwork and anterior chamber angle in children. PCG exhibits genetic heterogeneity and the CYP1B1 gene has been widely implicated worldwide. Despite the diverse mutation spectra, the clinical implications of these mutations are yet unclear. The present study attempted to delineate the clinical profile of PCG in the background of CYP1B1 mutations from a large cohort of 901 subjects from India (n=601) and Brazil (n=300). METHODS: Genotype-phenotype correlations was undertaken on clinically well characterized PCG cases from India (n=301) and Brazil (n=150) to assess the contributions of CYP1B1 mutation on a set of demographic and clinical parameters. The demographic (gender, and history of consanguinity) and quantitative clinical (presenting intraocular pressure [IOP] and corneal diameter [CD]) parameters were considered as binary and continuous variables, respectively, for PCG patients in the background of the overall mutation spectra and also with respect to the prevalent mutations in India (R368H) and Brazil (4340delG). All these variables were fitted in a multivariate logistic regression model using the Akaike Information Criterion (AIC) to estimate the adjusted odds ratio (OR) using the R software (version 2.14.1). RESULTS: The overall mutation spectrum were similar across the Indian and Brazilian PCG cases, despite significantly higher number of homozygous mutations in the former (p=0.024) and compound heterozygous mutations in the later (p=0.012). A wide allelic heterogeneity was observed and only 6 mutations were infrequently shared between these two populations. The adjusted ORs for the binary (demographic) and continuous (clinical) variables did not indicate any susceptibility to the observed mutations (p>0.05). CONCLUSIONS: The present study demonstrated a lack of genotype-phenotype correlation of the demographic and clinical traits to CYP1B1 mutations in PCG at presentation. However, the susceptibility of these mutations to the long-term progression of these traits are yet to be deciphered.