Software to analyze multi-locus genotype data for entire populations is useful for estimating haplotype frequencies, deviation from Hardy-Weinberg equilibrium and patterns of linkage disequilibrium. These statistical results are important to both those interested in human genome variation and disease predisposition as well as evolutionary genetics. As part of the 13 th International Histocompatibility and Immunogenetics Working Group (IHWG), we have developed a software framework (PyPop). The primary novelty of this package is that it allows integration of statistics across large numbers of data-sets by heavily utilizing the XML file format and the R statistical package to view graphical output, while retaining the ability to inter-operate with existing software. Largely developed to address human population data, it can, however, be used for population based data for any organism.
Viral and host factors are known to play a role in the different patterns of AIDS progression. The cocirculation of HIV-1 subtypes B, F1, B, and BF1; the occasional detection of HIV-1 subtype D; and an increasing prevalence of subtype C and other recombinant forms have been described in Rio de Janeiro, Brazil. The aim of this study was to evaluate the potential association of HIV-1 subtypes circulating among HIV-1+ individuals in Rio de Janeiro with AIDS disease progression. For this purpose, 246 HIV-1 individuals under clinical and laboratory follow-up from 1986 to 2011 were classified according to their progression to AIDS in typical progressors (n = 133), rapid progressors (n = 95), and long-term nonprogressors (n = 18). The env-gp120 region was amplified and sequenced. Neighbor-joining phylogenetic inferences were performed in Mega 6 and bootscan analysis was performed in Simplot 3.5.1. The Kaplan-Meier method and Cox modeling were performed to determine the time until an AIDS-defining event based on the HIV-1 subtypes/variants. Similar AIDS progression rates were observed among individuals infected with HIV-1 subtype B and variant B. However, a direct association between more rapid AIDS progression and HIV-1 subtypes, D and BF1, was confirmed in the multivariate analysis, corroborating previous results. Our findings contribute to the investigation of the possible influence of HIV-1 subtypes in AIDS outcome.
Typical human immunodeficiency virus-1 subtype B (HIV-1B) sequences present a
GPGR signature at the tip of the variable region 3 (V3) loop; however, unusual
motifs harbouring a GWGR signature have also been isolated. Although
epidemiological studies have detected this variant in approximately 17-50% of
the total infections in Brazil, the prevalence of B"-GWGR in the southernmost
region of Brazil is not yet clear. This study aimed to investigate the C2-V3
molecular diversity of the HIV-1B epidemic in southernmost Brazil. HIV-1
seropositive patients were ana-lysed at two distinct time points in the state of
Rio Grande do Sul (RS98 and RS08) and at one time point in the state of Santa
Catarina (SC08). Phylogenetic analysis classified 46 individuals in the RS98
group as HIV-1B and their molecular signatures were as follows: 26% B"-GWGR, 54%
B-GPGR and 20% other motifs. In the RS08 group, HIV-1B was present in 32
samples: 22% B"-GWGR, 59% B-GPGR and 19% other motifs. In the SC08 group, 32
HIV-1B samples were found: 28% B"-GWGR, 59% B-GPGR and 13% other motifs. No
association could be established between the HIV-1B V3 signatures and exposure
categories in the HIV-1B epidemic in RS. However, B-GPGR seemed to be related to
heterosexual individuals in the SC08 group. Our results suggest that the
established B"-GWGR epidemics in both cities have similar patterns, which is
likely due to their geographical proximity and cultural relationship.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.