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Objective: To evaluate disease features and outcomes in two populations with significant Amerindian ancestry., Methods: Hispanic patients (from Texas) from the Lupus in Minorities: Nature versus Nurture (LUMINA) cohort and Mestizo patients from the Grupo Latino Americano De Estudio del Lupus or Latin American Group for the Study of Lupus (GLADEL) cohort were included. Disease features and outcomes were evaluated at baseline and last visit. Admixture informative markers of Mestizo Genoma de Lupus Eritematoso Sistémico Network consortium (GENLES) patients and Hispanic LUMINA patients were compared. Univariable analyses were performed using Chi square or Student's t test as appropriate. Multivariable analyses adjusting for possible confounders were carried out using Poisson, logistic or Cox regression models as appropriate., Results: A total of 114 LUMINA and 619 GLADEL patients were included. GLADEL patients had accrued more damage at baseline, but the opposite was the case at last visit. Being from LUMINA was a risk factor for damage accrual, even after adjusting for possible confounders [relative risk (RR) 1.33, 95% CI 1.12, 1.58]. Also, LUMINA patients have a higher risk of mortality than GLADEL patients [hazard ratio (HR) 2.37, 95% CI 1.10, 5.15], having 5-year survival of 85.6% and 94.5%, respectively. In addition, 79 LUMINA patients and 744 Mestizo GENLES patients were evaluated in order to compare genetic ancestry between the two groups; GENLES patients had a higher proportion of European ancestry (48.5% vs 43.3%, P = 0.003) and a lower proportion of Asian ancestry (3.7% vs 4.9%, P = 0.048), but the proportions of Amerindian and African ancestry were comparable in both., Conclusion: USA Hispanic patients seemed to have a poorer prognosis than their counterparts from Latin America, despite having a comparable genetic background. Socioeconomic factors may account for these observations., (© The Author 2015. Published by Oxford University Press on behalf of the British Society for Rheumatology. All rights reserved. For Permissions, please email: journals.permissions@oup.com.)

Coccidioidomycosis is an endemic infectious disease in western North American deserts caused by the dimorphic ascomycete Coccidioides spp. Even though there has been an increase in the number of reported cases in the last years, few positive isolations have been obtained from soil samples in endemic areas for the disease. This low correlation between epidemiological and environmental data prompted us to better characterize the fundamental ecological niche of this important fungal pathogen. By using a combination of environmental variables and geospatially referenced points, where positive isolations had been obtained in southern California and Arizona (USA) and Sonora (Mexico), we have applied Genetic Algorithm for Rule Set Production (GARP) and Geographical Information Systems (GIS) to characterize the most likely ecological conditions favorable for the presence of the fungus. This model, based on environmental variables, allowed us to identify hotspots for the presence of the fungus in areas of southern California, Arizona, Texas, Baja California, and northern Mexico, whereas an alternative model based on bioclimatic variables gave us much broader probable distribution areas. We have overlapped the hotspots obtained with the environmental model with the available epidemiological information and have found a high match. Our model suggests that the most probable fundamental ecological niche for Coccidioides spp. is found in the arid lands of the North American deserts and provides the methodological basis to further characterize the realized ecological niche of Coccidioides spp., which would ultimately contribute to design smart field-sampling strategies.

Systemic lupus erythematosus is a disease of unknown etiology. Multiple genetic factors are believed to be involved in its pathogenesis. In addition, and due to genetic heterogeneity, these factors and/or their combinations may be different in different ethnic groups, while some might be shared between populations. We have performed genome scans in multicase families from three different population groups, two from Northern Europe, with a high degree of homogeneity, and the third from a recently admixed population of Mexican Mestizos. Although our family material is relatively small, the results presented here show that using family sets from well defined populations are sufficient to detect susceptibility loci for SLE. Our results also reveal the chromosomal regions most likely to contain susceptibility genes for SLE., (Copyright 1999 Academic Press.)