Browsing by Author "Glynn, Judith R"

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    Antiretroviral treatment cohort analysis using time-updated CD4 counts: assessment of bias with different analytic methods
    (Public Library of Science, 2011) Kranzer, Katharina; Lewis, James J; White, Richard G; Glynn, Judith R; Lawn, Stephen D; Middelkoop, Keren; Bekker, Linda-Gail; Wood, Robin
    BACKGROUND: Survival analysis using time-updated CD4+ counts during antiretroviral therapy is frequently employed to determine risk of clinical events. The time-point when the CD4+ count is assumed to change potentially biases effect estimates but methods used to estimate this are infrequently reported. METHODS: This study examined the effect of three different estimation methods: assuming i) a constant CD4+ count from date of measurement until the date of next measurement, ii) a constant CD4+ count from the midpoint of the preceding interval until the midpoint of the subsequent interval and iii) a linear interpolation between consecutive CD4+ measurements to provide additional midpoint measurements. Person-time, tuberculosis rates and hazard ratios by CD4+ stratum were compared using all available CD4+ counts (measurement frequency 1-3 months) and 6 monthly measurements from a clinical cohort. Simulated data were used to compare the extent of bias introduced by these methods. RESULTS: The midpoint method gave the closest fit to person-time spent with low CD4+ counts and for hazard ratios for outcomes both in the clinical dataset and the simulated data. CONCLUSION: The midpoint method presents a simple option to reduce bias in time-updated CD4+ analysis, particularly at low CD4 cell counts and rapidly increasing counts after ART initiation.
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    Recombination in pe/ppe genes contributes to genetic variation in Mycobacterium tuberculosis lineages
    (BioMed Central, 2016-02-29) Phelan, Jody E; Coll, Francesc; Bergval, Indra; Anthony, Richard M; Warren, Rob; Sampson, Samantha L; Gey van Pittius, Nicolaas C; Glynn, Judith R; Crampin, Amelia C; Alves, Adriana; Bessa, Theolis B; Campino, Susana; Dheda, Keertan; Grandjean, Louis; Hasan, Rumina; Hasan, Zahra; Miranda, Anabela; Moore, David; Panaiotov, Stefan; Perdigao, Joao; Portugal, Isabel; Sheen, Patricia; de Oliveira Sousa, Erivelton; Streicher, Elizabeth M; van Helden, Paul D; Viveiros, Miguel; Hibberd, Martin L; Pain, Arnab; McNerney, Ruth; Clark, Taane G
    Background: Approximately 10 % of the Mycobacterium tuberculosis genome is made up of two families of genes that are poorly characterized due to their high GC content and highly repetitive nature. The PE and PPE families are typified by their highly conserved N-terminal domains that incorporate proline-glutamate (PE) and proline-proline-glutamate (PPE) signature motifs. They are hypothesised to be important virulence factors involved with host-pathogen interactions, but their high genetic variability and complexity of analysis means they are typically disregarded in genome studies. Results: To elucidate the structure of these genes, 518 genomes from a diverse international collection of clinical isolates were de novo assembled. A further 21 reference M. tuberculosis complex genomes and long read sequence data were used to validate the approach. SNP analysis revealed that variation in the majority of the 168 pe/ppe genes studied was consistent with lineage. Several recombination hotspots were identified, notably pe_pgrs3 and pe_pgrs17. Evidence of positive selection was revealed in 65 pe/ppe genes, including epitopes potentially binding to major histocompatibility complex molecules. Conclusions: This, the first comprehensive study of the pe and ppe genes, provides important insight into M. tuberculosis diversity and has significant implications for vaccine development.