Epidemiologia da leishmaniose tegumentar americana e suas relações com a lavoura e o garimpo, em localidade do Estado da Bahia (Brasil)

Realizou-se um estudo sobre a associação entre infecção leishmaniótica e a ocupação dos indivíduos em Lençóis-Bahia (Brasil). Foram utilizados um questionário com variáveis biológicas, sociais e econômicas e o teste de Montenegro. Houve captura de flebotomíneos em locais peri e intra-domiciliares. Encontrou-se maior prevalência da infecção no grupo ocupacional de lavradores/garimpeiros em comparação às demais ocupações. Explica-se esse resultado em razão da dupla exposição dos lavradores/garimpeiros à leishmaniose tegumentar americana, em sua área de moradia e local de trabalho.This study was carried out in the city of Lençóis, State of Bahia, with the objective of verifying the association between leishmaniasis infection and occupation. A Montenegro test and a questionnaire including biological and socio-economic variables were applied to the study group. Sandflies were captured in and around dwellings. The higher-than-average prevalence of leishmaniasis observed among agricultural workers and prospectors is explained by the double exposure to the infection-both at home and at work

Epidemiologia da leishmaniose tegumentar americana e suas relações com a lavoura e o garimpo, em localidade do Estado da Bahia (Brasil) Epidemiology of leishmaniasis related to agriculture and prospecting in a locality of the State of Bahia, Brazil

Realizou-se um estudo sobre a associação entre infecção leishmaniótica e a ocupação dos indivíduos em Lençóis-Bahia (Brasil). Foram utilizados um questionário com variáveis biológicas, sociais e econômicas e o teste de Montenegro. Houve captura de flebotomíneos em locais peri e intra-domiciliares. Encontrou-se maior prevalência da infecção no grupo ocupacional de lavradores/garimpeiros em comparação às demais ocupações. Explica-se esse resultado em razão da dupla exposição dos lavradores/garimpeiros à leishmaniose tegumentar americana, em sua área de moradia e local de trabalho.<br>This study was carried out in the city of Lençóis, State of Bahia, with the objective of verifying the association between leishmaniasis infection and occupation. A Montenegro test and a questionnaire including biological and socio-economic variables were applied to the study group. Sandflies were captured in and around dwellings. The higher-than-average prevalence of leishmaniasis observed among agricultural workers and prospectors is explained by the double exposure to the infection-both at home and at work

A saturated map of common genetic variants associated with human height

Common single-nucleotide polymorphisms (SNPs) are predicted to collectively explain 40–50% of phenotypic variation in human height, but identifying the specific variants and associated regions requires huge sample sizes1. Here, using data from a genome-wide association study of 5.4 million individuals of diverse ancestries, we show that 12,111 independent SNPs that are significantly associated with height account for nearly all of the common SNP-based heritability. These SNPs are clustered within 7,209 non-overlapping genomic segments with a mean size of around 90 kb, covering about 21% of the genome. The density of independent associations varies across the genome and the regions of increased density are enriched for biologically relevant genes. In out-of-sample estimation and prediction, the 12,111 SNPs (or all SNPs in the HapMap 3 panel2) account for 40% (45%) of phenotypic variance in populations of European ancestry but only around 10–20% (14–24%) in populations of other ancestries. Effect sizes, associated regions and gene prioritization are similar across ancestries, indicating that reduced prediction accuracy is likely to be explained by linkage disequilibrium and differences in allele frequency within associated regions. Finally, we show that the relevant biological pathways are detectable with smaller sample sizes than are needed to implicate causal genes and variants. Overall, this study provides a comprehensive map of specific genomic regions that contain the vast majority of common height-associated variants. Although this map is saturated for populations of European ancestry, further research is needed to achieve equivalent saturation in other ancestries

A saturated map of common genetic variants associated with human height.

Common single-nucleotide polymorphisms (SNPs) are predicted to collectively explain 40-50% of phenotypic variation in human height, but identifying the specific variants and associated regions requires huge sample sizes1. Here, using data from a genome-wide association study of 5.4 million individuals of diverse ancestries, we show that 12,111 independent SNPs that are significantly associated with height account for nearly all of the common SNP-based heritability. These SNPs are clustered within 7,209 non-overlapping genomic segments with a mean size of around 90 kb, covering about 21% of the genome. The density of independent associations varies across the genome and the regions of increased density are enriched for biologically relevant genes. In out-of-sample estimation and prediction, the 12,111 SNPs (or all SNPs in the HapMap 3 panel2) account for 40% (45%) of phenotypic variance in populations of European ancestry but only around 10-20% (14-24%) in populations of other ancestries. Effect sizes, associated regions and gene prioritization are similar across ancestries, indicating that reduced prediction accuracy is likely to be explained by linkage disequilibrium and differences in allele frequency within associated regions. Finally, we show that the relevant biological pathways are detectable with smaller sample sizes than are needed to implicate causal genes and variants. Overall, this study provides a comprehensive map of specific genomic regions that contain the vast majority of common height-associated variants. Although this map is saturated for populations of European ancestry, further research is needed to achieve equivalent saturation in other ancestries